_Discourse, Dialogue and Technology Enhanced Learning_ is invaluable to all those wanting to explore how dialogic processes work and how we facilitate them. Dialogue is an important learning tool and it is by understanding how language affects us and how we use language to encourage, empathise, inquire, argue and persuade that we come closer to understanding processes of change in ourselves and our society. Most researchers in Education will find themselves interpreting some form of data in the form (...) of words; whether these words be explanations, conversations, narrations, reflections, debates or interviews and whether they are conducted through digital media or face-to-face. Discourse, textual or spoken, is therefore central to researching education. Each chapter focuses on the ways in which alternative levels of discourse analysis provide tools for the researcher, enabling insights into the way language works in learning, teaching practice and wider society. Drawing on the author’s own ‘DISCOUNT’ discourse analysis coding scheme and including a wide range of dialogue examples, this book covers: Why Dialogue? The Role of Dialogue in Education. Debate: Learning to Argue and Arguing to Learn Towards Meaning-Making: Inquiry, Narrative and Experience The Role of the Significant Other: Facilitation, Scaffolding and Mediation Inclusion, Collaboration and Community Media, Mode and Digital Literacy Researching Voices and Texts Discourse, Dialogue and Technology Enhanced Learning will be an essential resource for all students, educators and educational researchers who have an interest in the role of discourse in educational contexts. (shrink)

The use of machine learning systems for decision-support in healthcare may exacerbate health inequalities. However, recent work suggests that algorithms trained on sufficiently diverse datasets could in principle combat health inequalities. One concern about these algorithms is that their performance for patients in traditionally disadvantaged groups exceeds their performance for patients in traditionally advantaged groups. This renders the algorithmic decisions unfair relative to the standard fairness metrics in machine learning. In this paper, we defend the permissible use of (...) affirmative algorithms; that is, algorithms trained on diverse datasets that perform better for traditionally disadvantaged groups. Whilst such algorithmic decisions may be unfair, the fairness of algorithmic decisions is not the appropriate locus of moral evaluation. What matters is the fairness of final decisions, such as diagnoses, resulting from collaboration between clinicians and algorithms. We argue that affirmative algorithms can permissibly be deployed provided the resultant final decisions are fair. (shrink)

Students experience different levels of autonomy based on the mediation of self-regulated learning, but little is known about the effects of different mediation technologies on students' perceived SRL strategies. This mixed explanatory study compared two technology mediation models, Icourse and Icourse+Pigai, with a control group that did not use technology. A quasi-experimental design was used, which involved a pre and post-intervention academic writing test, an SRL questionnaire, and one-to-one semi-structured student interviews. The aim was to investigate 280 (...) Chinese undergraduate English as a foreign language students' academic writing performance, lexical complexity, and perceptions of self-regulated strategies in academic writing. One-way ANCOVA of writing performance, Kruskal-Wallis test of lexical complexity, ANOVA of the SRL questionnaire, and grounded thematic content analysis revealed that, first, both Icourse and Icourse+Pigai provided significant support for the development of SRL strategies vs. the control group, although there was no significant difference between the two groups. Second, Icourse+Pigai-supported SRL was more helpful for improving students' academic writing performance because it enabled increased writing practice and correction feedback. Third, Icourse+Pigai-supported SRL did not significantly improve students' lexical complexity. In conclusion, we argue that both learning management systems and automated writing evaluation platforms may be used to assist students' SRL learning to enhance their writing performance. More effort should be directed toward developing technological tools that increase both lexical accuracy and lexical complexity. We conclude that the technical tools used in this study were positively connected to the use of SRL techniques. However, when creating technologically mediated SRL activities, students' psychological study preferences should be considered. (shrink)

"... Dr. Ihde brings an enlightening and deeply humanistic perspective to major technological developments, both past and present." —Science Books & Films "Don Ihde is a pleasure to read.... The material is full of nice suggestions and details, empirical materials, fun variations which engage the reader in the work... the overall points almost sneak up on you, they are so gently and gradually offered." —John Compton "A sophisticated celebration of cultural diversity and of its enabling technologies.... perhaps the best single (...) volume relating the philosophical tradition to the broad issues raised by contemporary technologies." —Choice "... important and challenging... " —Review of Metaphysics "... a range of rich historical, cultural, philosophical, and psychological insights, woven together in an intriguing and clear exposition... The book is really a pleasure to read, for its style, immense learning and sanity." —Teaching Philosophy The role of tools and instruments in our relation to the earth and the ways in which technologies are culturally embedded provide the foci of this thought-provoking book. (shrink)

The exponential growth of digital and communication technologies coupled with the rising need for continuing education have resulted in a proliferation of distance learning opportunities on a global scale. The most common and preferred option for the delivery of flexible education is online learning which relies oncomputers and the Internet to enable collaboration, participation and instruction. This new modality of learning requires novel pedagogical approaches and the seamless and transparent integration of technology. This paper proposes to (...) discuss the emerging pedagogical underpinnings and their connection to thetechnologies that enable anytime, anywhere educational participation. (shrink)

With a variety of technology-enabled tools and environments to choose from, it is increasingly difficult for educators to ascertain the factors that influence the quality of the students' learning experience and hence make appropriate choices for the use of technology. In this paper, we discuss the role of two technologies — wikis and blogs — in teaching and learning. We provide case studies of two courses at the Open Umiversity, UK and empirical evidence of students' (...) experiences, perceptions, and expectations on these courses. We discuss the context of these courses and the usage of these technologies: The pedagogical underpinnings and the rationale for introducing these technologies; the intended learning outcomes from the usage of these tools; and the extent to which the activities based around these tools have enabled the intended learning and facilitated the learning process. We report on the social, usability, and pedagogical factors that have influenced the quality of students' learning experience. The research reported in this paper aims to provide guidance to course designers and educators for choosing tools, particularly wikis and blogs, for their contexts and for creating value and generating a positive student experience to engender student satisfaction and retention. (shrink)

With a variety of technology-enabled tools and environments to choose from, it is increasingly difficult for educators to ascertain the factors that influence the quality of the students’ learning experience and hence make appropriate choices for the use of technology. In this paper, we discuss the role of two technologies — wikis and blogs — in teaching and learning. We provide case studies of two courses at the Open Umiversity, UK and empirical evidence of students’ (...) experiences, perceptions, and expectations on these courses. We discuss the context of these courses and the usage of these technologies: The pedagogical underpinnings and the rationale for introducing these technologies; the intended learning outcomes from the usage of these tools; and the extent to which the activities based around these tools have enabled the intended learning and facilitated the learning process. We report on the social, usability, and pedagogical factors that have influenced the quality of students’ learning experience. The research reported in this paper aims to provide guidance to course designers and educators for choosing tools, particularly wikis and blogs, for their contexts and for creating value and generating a positive student experience to engender student satisfaction and retention. (shrink)

Cumulative technological culture (CTC) refers to the increase in the efficiency and complexity of tools and techniques in human populations over generations. A fascinating question is to understand the cognitive origins of this phenomenon. Because CTC is definitely a social phenomenon, most accounts have suggested a series of cognitive mechanisms oriented toward the social dimension (e.g., teaching, imitation, theory of mind, and metacognition), thereby minimizing the technical dimension and the potential influence of non-social, cognitive skills. What if we have failed (...) to see the elephant in the room? What if social cognitive mechanisms were only catalyzing factors and not thesufficient and necessaryconditions for the emergence of CTC? In this article, we offer an alternative, unified cognitive approach to this phenomenon by assuming that CTC originates in non-social cognitive skills, namely technical-reasoning skills which enable humans to develop the technical potential necessary to constantly acquire and improve technical information. This leads us to discuss how theory of mind and metacognition, in concert with technical reasoning, can help boost CTC. The cognitive approach developed here opens up promising new avenues for reinterpreting classical issues (e.g., innovation, emulation vs. imitation, social vs. asocial learning, cooperation, teaching, and overimitation) in a field that has so far been largely dominated by other disciplines, such as evolutionary biology, mathematics, anthropology, archeology, economics, and philosophy. (shrink)

In this article I propose that a postphenomenological approach to science and technology can open new analytical understandings of how material artifacts, embodiment and social agency co-produce learned perceptions of objects. In particle physics, physicists work in huge groups of scientists from many cultural backgrounds. Communication to some extent depends on material hermeneutics of flowcharts, models and other visual presentations. As it appears in an examination of physicists’ scrutiny of visual renderings of different parts of a detector, perceptions vary (...) in relation to social and bodily experiences. Vision in physics has seemingly allowed an objective perception at a convenient distance of the body. This article challenges this view and proposes that the variations can be analysed as cultural at two echelons with the help of a postphenomenological approach combined with cultural psychological theory of artifacts. A third echelon presumably constitutes the phenomenological limit to culture in science. Even this last resort of subjectivity can be embraced by a postphenomenological approach. The process of culturalization in physics can be defined as a process of situating knowledge in a body whose continuous learning of micro-and macro perceptions makes scientific renderings unstable. Taken together postphenomenology, following the distinctions between body one and body two, and combined with cultural psychological learning theory, enables new insight into what constitutes culture in science. (shrink)

The importance of cultivating creativity in language education has been widely acknowledged in the academic literature. In this respect, digital technologies can play a key role in achieving this endeavour. The socio-cultural conceptualization of creativity stresses the role of communication, collaboration and dialogical interaction of creative expression in language education. The objective of this paper is to study the literature focusing on cases of collaborative creativity and technology embedded in language education. To this end, we carry out a systematic (...) revision of state-of-the-art literature consisting of 26 blind peer-reviewed empirical studies selected from several databases that address our main research question, namely, which specific roles and forms of digital technology can be identified in the existing literature that support collaborative creativity in language education. Results show that the features of digital technology unfold a range of learning opportunities in language education and can play three different roles in promoting collaborative creativity: as a tutoring device that guides the implementation of key co-creation skills; as a tool that enables and shapes the development of co-creative thinking skills; and as a medium that creates rich and resourceful environments to stimulate the emergence of collective creative processes. The paper also reveals that these three roles can be performed using a wide range of interactive technologies that encourage students to participate in a rich, co-creative language learning experience and equip learners with key competences to approach complex problems in a globalised and hyper-connected world. Finally, this paper may contribute to developing future language technology-enhanced learning projects capable of promoting key collaborative and creative processes. (shrink)

With the rapid growth of informatics systems’ technology in this modern age, the Internet of Things (IoT) has become more valuable and vital to everyday life in many ways. IoT applications are now more popular than they used to be due to the availability of many gadgets that work as IoT enablers, including smartwatches, smartphones, security cameras, and smart sensors. However, the insecure nature of IoT devices has led to several difficulties, one of which is distributed denial-of-service (DDoS) attacks. (...) IoT systems have several security limitations due to their disreputability characteristics, like dynamic communication between IoT devices. The dynamic communications resulted from the limited resources of these devices, such as their data storage and processing units. Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. The main ongoing research issue is developing a model capable of protecting the network from DDoS attacks that is sensitive to various classes of DDoS and can recognize legitimate traffic to avoid false alarms. Subsequently, this study proposes combining three deep learning algorithms, namely recurrent neural network (RNN), long short-term memory (LSTM)-RNN, and convolutional neural network (CNN), to build a bidirectional CNN-BiLSTM DDoS detection model. The RNN, CNN, LSTM, and CNN-BiLSTM are implemented and tested to determine the most effective model against DDoS attacks that can accurately detect and distinguish DDoS from legitimate traffic. The intrusion detection evaluation dataset (CICIDS2017) is used to provide more realistic detection. The CICIDS2017 dataset includes benign and up-to-date examples of typical attacks, closely matching real-world data of Packet Capture. The four models are tested and assessed using Confusion Metrix against four commonly used criteria: accuracy, precision, recall, and F-measure. The performance of the models is quite effective as they obtain an accuracy rate of around 99.00%, except for the CNN model, which achieves an accuracy of 98.82%. The CNN-BiLSTM achieves the best accuracy of 99.76% and precision of 98.90%. (shrink)

Genetic engineering techniques (e.g., CRISPR-Cas) have led to an increase in biotechnological developments, possibly leading to uncertain risks. The European Union aims to anticipate these by embedding the Precautionary Principle in its regulation for risk management. This principle revolves around taking preventive action in the face of uncertainty and provides guidelines to take precautionary measures when dealing with important values such as health or environmental safety. However, when dealing with ‘new’ technologies, it can be hard for risk managers to estimate (...) the societal or environmental consequences of a biotechnology that might arise once introduced or embedded in society due to that these sometimes do not comply with the established norms within risk assessment. When there is insufficient knowledge, stakeholders active in early developmental stages (e.g., researchers) could provide necessary knowledge by conducting research specifically devoted to what these unknown risks could entail. In theory, the Safe-by-Design (SbD) approach could enable such a controlled learning environment to gradually identify what these uncertain risks are, to which we refer as responsible learning. In this paper, we argue that three conditions need to be present to enable such an environment: (1) regulatory flexibility, (2) co-responsibility between researchers and regulators, and (3) openness towards all stakeholders. If one of these conditions would not be present, the SbD approach cannot be implemented to its fullest potential, thereby limiting an environment for responsible learning and possibly leaving current policy behind to anticipate uncertain risks. (shrink)

There is increasing concern about “surveillance capitalism,” whereby for-profit companies generate value from data, while individuals are unable to resist (Zuboff 2019). Non-profits using data-enabled surveillance receive less attention. Higher education institutions (HEIs) have embraced data analytics, but the wide latitude that private, profit-oriented enterprises have to collect data is inappropriate. HEIs have a fiduciary relationship to students, not a narrowly transactional one (see Jones et al, forthcoming). They are responsible for facets of student life beyond education. In addition (...) to classrooms, learning management systems, and libraries, HEIs manage dormitories, gyms, dining halls, health facilities, career advising, police departments, and student employment. HEIs collect and use student data in all of these domains, ostensibly to understand learner behaviors and contexts, improve learning outcomes, and increase institutional efficiency through “learning analytics” (LA). ID card swipes and Wi-Fi log-ins can track student location, class attendance, use of campus facilities, eating habits, and friend groups. Course management systems capture how students interact with readings, video lectures, and discussion boards. Application materials provide demographic information. These data are used to identify students needing support, predict enrollment demands, and target recruiting efforts. These are laudable aims. However, current LA practices may be inconsistent with HEIs’ fiduciary responsibilities. HEIs often justify LA as advancing student interests, but some projects advance primarily organizational welfare and institutional interests. Moreover, LA advances a narrow conception of student interests while discounting privacy and autonomy. Students are generally unaware of the information collected, do not provide meaningful consent, and express discomfort and resigned acceptance about HEI data practices, especially for non-academic data (see Jones et al. forthcoming). The breadth and depth of student information available, combined with their fiduciary responsibility, create a duty that HEIs exercise substantial restraint and rigorous evaluation in data collection and use. (shrink)

Information technology, that assortment of technology that enables the conversion of data into information, has had an enormous impact on the field of public administration and its theoretical foundation. This article explores five of them. It begins with a discussion of one of the primary impacts of information technology on public administration theory: the development of systems theory and its descendants including the study of complex systems, chaos, and complexity theory. The importance of information technology in (...) decision-making is explored next. Does information technology free us from the limits of bounded rationality or are we simply overwhelmed by the volume of information available via new sources, such as the Internet and the World Wide Web? The third role examined is the use of information technology as a research tool to make previously intractable problems solvable. Computer capability has enormously advanced the theoretical underpinnings of public administration. Fourth, the significance of information technology as a change agent that calls for revision of other theoretical postulates is investigated. As information technology has diffused into public organizations, how has it called into question what we previously thought about the foundation of bureaucracy? Finally, learning by doing and the manner through which practice informs theory is considered. (shrink)

The article analyzes distance learning and educational processes, such as education, pedagogical technologies, methods and upbringing in the context of globalization trends in the postmodern world. The new technologies, which have prompted and eventually led to globalization processes, indicate the need to master these new technologies since teaching today requires one to apply one’s professional results efficiently. The trend of education is globalization, which seems inevitable under a dramatically changing educational reality. Global education is defined as one of the (...) areas in the development of current pedagogical theory and practice. It aims to prepare learners for professional activities in a changing and increasingly interdependent world. Indeed, globalization lies in implementing and using internet technologies in education. Recognizing the multiplicity of meanings and views, the postmodern society is entering a state of crisis. It is because the Covid-19 pandemic and, consequently, new living conditions associated with it, require a new worldview. In this regard, education reforms are becoming a priority, given that the 21st century is the age of information and nanotechnologies. Information technology is a prerequisite for teacher training today. At the same time, informatization of education is impossible without creating, using and developing informational and educational environments, which in turn should enable the realization of an intellectually developed individual embodying the necessary professional qualities. (shrink)

This paper argues for the role of technology, such as artificial intelligence, which includes machine learning, in managing conflicts between herders and farmers in Nigeria. Conflicts between itinerant Fulani herders and farmers over the years have resulted in the destruction of lives, properties, and the displacement of many indigenous communities across Nigeria, with devastating social, economic and political consequences. Over time, the conflicts have morphed into ethnic stereotypes, allegations of ethnic cleansing, forceful appropriation and divisive entrenchment of labels (...) that are inimical to national existence. The reality of climate change and increased urbanization suggest that conflicts are likely to exacerbate over shrinking resources in the near future. Finding solutions to the conflicts, therefore requires innovative thinking capable of addressing the limits of past approaches. While mindful of the human and political dimension of the conflicts, I argue using the method of philosophical analysis that technology possesses the capacity for social transformation, and make a case for the modernization of grazing culture and the curbing of crossborder grazing through machine learning and other forms of artificial intelligence. Machine Learning represents a transformative technology that addresses the security challenges of irregular migration, accommodates the nomadic and subsistent mode of farming associated with the conflicting parties while enabling a gradual but stable transition to full modernization. I conclude that machine learning holds many prospects for minimizing conflicts and attaining social cohesion between herders and farmers when properly complemented by other mechanisms of social cohesion that may be political in nature. (shrink)

Building upon a recent call to renew actor-network theory (ANT) for educational research, this article reconsiders relations between technology and educational theory. Taking cues from actor-network theorists, this discussion considers the technologically-mediated networks in which learning actors are situated, acted upon, and acting, and traces the novel positions of creative capacity and participation that emerging media may enable. Whereas traditional theories of educational technology tend to focus on the harmonization of new technologies with extant curricular goals and (...) educational practices, an educational theory of technology looks to novel forms of technologically-mediated learning experience—from production pedagogies to role play in the virtual—to make visible the surprising relations, techniques, and opportunities that emerging media, and their attendant social contexts, may offer educational research. (shrink)

This book bridges the divide between the fields of power systems engineering and computer communication through the new field of power system information theory. Written by an expert with vast experience in the field, this book explores the smart grid from generation to consumption, both as it is planned today and how it will evolve tomorrow. The book focuses upon what differentiates the smart grid from the "traditional" power grid as it has been known for the last century. Furthermore, the (...) author provides the reader with a fundamental understanding of both power systems and communication networking. It shows the complexity and operational requirements of the evolving power grid, the so-called "smart grid," to the communication networking engineer; and similarly, it shows the complexity and operational requirements for communications to the power systems engineer. The book is divided into three parts. Part One discusses the basic operation of the electric power grid, covering fundamental knowledge that is assumed in Parts Two and Three. Part Two introduces communications and networking, which are critical enablers for the smart grid. It also considers how communication and networking will evolve as technology develops. This lays the foundation for Part Three, which utilizes communication within the power grid. Part Three draws heavily upon both the embedded intelligence within the power grid and current research, anticipating how and where computational intelligence will be implemented within the smart grid. Each part is divided into chapters and each chapter has a set of questions useful for exercising the readers' understanding of the material in that chapter. Key Features: Bridges the gap between power systems and communications experts Addresses the smart grid from generation to consumption, both as it is planned today and how it will likely evolve tomorrow Explores the smart grid from the perspective of traditional power systems as well as from communications Discusses power systems, communications, and machine learning that all define the smart grid It introduces the new field of power system information theory. (shrink)

Digital media technology, when deployed in ways that cultivate shared learning communities in which students and teachers are empowered to participate as partners in conjoint educational practices, can transform the way we teach and learn philosophy. This essay offers a model for how to put blogging and podcasting in the service of a cooperative approach to education that empowers students to take ownership of their education and enables teachers to cultivate in themselves and their students the excellences of (...) dialogue. The essay is organized around a compelling story of how the students in an Ancient Greek Philosophy course responded to an anonymous, belligerent commenter on the blog from outside of the class. The incident brings the pedagogy of cooperative education into sharp relief. (shrink)

New technologies not only contribute greatly to society and the economy; they also involve fundamental societal shifts, challenging our values and ideas about ourselves and the world. With a view to aligning technological change and innovation with ethical values, the concept of responsible innovation advocates the inclusion of a variety of stakeholders, in particular from society. In shifting moral responsibility towards the producers of innovations, responsible innovation rejects the standard normative economic view that the ethical evaluation of innovations is a (...) matter of individual consumers’ market-based choices. However, in this article we argue that responsible innovation should not abandon all normative consideration of the individual outright, to which end we present an alternative normative economic approach based on preference learning. We show how this approach can provide an enhanced understanding of responsible innovation by clarifying the redistribution of moral responsibility and casting individuals in the normative role of co-innovators, rather than mere consumers. We argue that responsible innovation should enable individuals to form preferences and evaluate innovations, so as to align innovation with ethical demands. Finally, we show how our proposed approach can be put into practice in so-called laboratories in real-world contexts, using methods from the field of design. In short, drawing on normative economics, this article aims to establish a new understanding of responsible innovation that is conceptually sound and can form the basis for novel innovation practices. (shrink)

Technology permeates all walks of life. It has emerged as a global facilitator to improve learning and training, alleviating the temporal and spatial limitations of traditional learning systems. It is imperative to identify enablers or inhibitors of technology adoption by employees for sustainable change in education management systems. Using the theoretical lens of organizational support theory, this paper studies effect of institutional support on education management information systems use along with two individual traits of self-efficacy and (...) innovative behavior of academic employees in British higher educational institutions. Data for this cross-sectional study were collected through a questionnaire completed by 591 academic employees of 23 universities from 10 cities in the United Kingdom. Partial Least Square structural equation modeling was used to analyze data with smartPLS 3.2.9 software. Results indicate that institutional support promotes self-efficacy and innovative behavior that help develop positive employee perceptions. The model explains a 52.9% variance in intention to use. Post-hoc mediation analysis shows that innovativeness and self-efficacy mediate between institutional support and employee technology adoption behavior. As opposed to student samples in past studies on educational technology, this study adds to the literature by focusing on academic employees. (shrink)

This book deals with the ethics of technology and addresses specific ethical problems related to some emerging technologies, mainly in the field of computer science (from machine learning models to extracting value from data to human–robot interaction). The contributions are authored mainly by scholars in ICT and other engineering fields who reflect on ethical and societal issues emerging from their own research activity. Thus, rather uniquely, the work overcomes the traditional divide between pure ethical theory that disregards what (...) practitioners do and mere R&D practice that ignores what theorists conceptualize. Conversely, the reader is enabled to understand what ethics means when it is actually put into work by engineering researchers. The book arises from a joint program between MIT and Politecnico di Milano aimed at training early career researchers in addressing the ethical issues of technology and critically reflecting on the social impacts of the emerging, and even disruptive, technologies they are currently developing through their novel research. Overall, it aims at spreading the task of developing technologies that, from the beginning, are designed to be responsible for human life, society, and nature. (shrink)

The framework, Technological Pedagogical Content Knowledge, Ethics and Accomplishment (TPACKEA) provides an extension to a modified TPACK framework by adding ‘Ethics’ and ‘Accomplishment’. The reason is that further theoretical formulations and deployments need to be carried out on Technological Pedagogical Content Knowledge (TPACK) if TPACK research is to harmonize and constructively strengthen the field of blended/full online learning in higher education. It is a qualitative study that employed in-depth interviews for data collection. The data collection procedure of this study (...) employed a judgmental sampling of twenty (20) lecturers who used Sakai/MOODLE Learning Management System (LMS) for teaching. It was observed that the extension of the modified TPACK framework to include ‘Ethics’ and ‘Accomplishment’ needs was in practical terms suitable and necessary for effective teaching and learning in higher education. It has been recommended that universities provide education on academic ethics and appropriate behaviours, sponsor lecturers in their academic careers and create an enabling environment for teaching and learning so that lecturers will get to the state of accomplishment in a blended learning milieu. (shrink)

Brain–computer interfaces (BCIs) utilizing machine learning techniques are an emerging technology that enables a communication pathway between a user and an external system, such as a computer. Owing to its practicality, electroencephalography (EEG) is one of the most widely used measurements for BCI. However, EEG has complex patterns and EEG-based BCIs mostly involve a cost/time-consuming calibration phase; thus, acquiring sufficient EEG data is rarely possible. Recently, deep learning (DL) has had a theoretical/practical impact on BCI research because (...) of its use in learning representations of complex patterns inherent in EEG. Moreover, algorithmic advances in DL facilitate short/zero-calibration in BCI, thereby suppressing the data acquisition phase. Those advancements include data augmentation (DA), increasing the number of training samples without acquiring additional data, and transfer learning (TL), taking advantage of representative knowledge obtained from one dataset to address the so-called data insufficiency problem in other datasets. In this study, we review DL-based short/zero-calibration methods for BCI. Further, we elaborate methodological/algorithmic trends, highlight intriguing approaches in the literature, and discuss directions for further research. In particular, we search forgenerative model-based andgeometric manipulation-based DA methods. Additionally, we categorize TL techniques in DL-based BCIs intoexplicitandimplicitmethods. Our systematization reveals advances in the DA and TL methods. Among the studies reviewed herein, ~45% of DA studies used generative model-based techniques, whereas ~45% of TL studies used explicit knowledge transferring strategy. Moreover, based on our literature review, we recommend an appropriate DA strategy for DL-based BCIs and discuss trends of TLs used in DL-based BCIs. (shrink)

We motivate the desire for self-driving and explain its potential and limitations, and explore the need for—and potential implementation of—morals, ethics, and other value systems as complementary “capabilities” to the Deep Technologies behind self-driving. We consider how the incorporation of such systems may drive or slow adoption of high automation within vehicles. First, we explore the role for morals, ethics, and other value systems in self-driving through a representative hypothetical dilemma faced by a self-driving car. Through the lens of engineering, (...) we explain in simple terms common moral and ethical frameworks including utilitarianism, deontology, and virtue ethics before characterizing their relationship to the fundamental algorithms enabling self-driving. The concepts of behavior cloning, state-based modeling, and reinforcement learning are introduced, with some algorithms being more suitable for the implementation of value systems than others. We touch upon the contemporary cross-disciplinary landscape of morals and ethics in self-driving systems from a joint philosophical and technical perspective, and close with considerations for practitioners and the public, particularly as individuals may not appreciate the nuance and complexity of using imperfect information to navigate diverse scenarios and tough-to-quantify value systems, while “typical” software development reduces complex problems to black and white decision-making. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Looking to Learn: Museum Educators and Aesthetic EducationNancy Blume (bio), Jean Henning (bio), Amy Herman (bio), and Nancy Richner (bio)IntroductionMuseum education. Aesthetic education. How are they similar? How do they differ? How do they relate to each other? What are their goals? As museum educators working with classroom and art teachers, we are often asked these questions, and we ask them ourselves. “What do you DO?” is probably the (...) most frequently asked question of all, and the answer is complex. Even more complex is how these questions relate to the Rembrandt Project. Given that looking at original works of art is such a priority for museums and museum educators, how do we address the project’s reliance on technology? And how do these questions relate to the social studies and visual arts standards, [End Page 83] another major component of the project? How does the project relate to the work we do in our own museums? Writing collaboratively implies that we have certain areas of commonality; but we also have differences, which will be apparent in individual sections of this article: Jean Henning and Nancy Richner discuss the Nassau County Museum of Art, Nancy Blume writes about Asia Society, and Amy Herman explores the Frick Collection. Our focus will be the domain of museum education as that is what we know best, but there are inevitably areas where it overlaps and complements the domains of art education, aesthetic education, and social studies.Art Museum Education HistoryThe history of art museum education begins with the founding of museums in the United States during the commercial and industrial expansion that took place after the Civil War, between 1870 and 1929. The principles guiding American museums have always mirrored the values of American society. From the beginning of this country’s history, the fine arts have been viewed as elitist and thus of no value to the larger society. “To America,” Ben Franklin wrote in the late 1700s, “one school master is worth a dozen poets, and the invention of a machine or the improvement of an implement is of more importance than a masterpiece of Raphael.”1 Given such longstanding and deep-seated suspicion of art among Americans, it is not surprising that both the champions and the staff of art museums insisted on the practical educational benefits museums provided to the public.By the late nineteenth century, at the height of immigration and the emergence of a strong working class and labor movement, a social dimension was added to the mission of museum education. Art museums, like public libraries, were seen as venues for achieving social balance. By the early twentieth century an aesthetic agenda was finally joined to these social and pragmatic ones.2While museums have responded to the needs created by cyclical changes in social, economic, political, and intellectual life, today’s art museum educators still deal with the tension among the museum’s aesthetic, educational, and social missions; only the context and delivery modes of museum education have changed. Yet despite the shifting directions and priorities in museum education, there are certain basic and commonly accepted premises that museum educators have shared since the late nineteenth century. The 1984 Museums Commission on Museums for a New Century stated what has been the continuing premise of museum education since the late nineteenth century: learning in museums is based on objects and involves not only developing the ability to synthesize ideas and form opinions but also shaping an aesthetic and cultural sensibility.3 Another fundamental [End Page 84] assumption is that museums are institutions of visual instruction. Although each of the museum educators writing here represents a unique institution with unique approaches to looking at and finding meaning in art, we all agree on the importance of the original work of art as the basis for our work. It is the complexity of original artworks that enables them to play a dual role. One role is pragmatic, which requires meeting standards set by state and national governments for teaching critical thinking skills and improving literacy. The second role is aesthetic—namely, ways of helping students develop habits for aesthetic encounters that are an integral part... (shrink)

The use of technologies like artificial intelligence can drive productivity growth, efficiency and innovation. The goal of this study is to develop an anomaly detection method for locating flaws on the surface of sandwich panels using YOLOv5. The proposed algorithm extracts information locally from an image through a prediction system that creates bounding boxes and determines whether the sandwich panel surface contains flaws. It attempts to reject or accept a product based on quality levels specified in the standard. To evaluate (...) the proposed method, a comparison was made with a sandwich panel damage detection method based on a convolutional neural network and methods based on thresholding. The findings show that the proposed method, which is based on an object detector, is more accurate than the alternatives. The characteristics of the model, which can reject or accept a product according to the standard and limit allowable manufacturing flaws to obtain a quality product, also enable this system to improve industrial standards for producing sandwich panels while increasing speed. (shrink)

A wide variety of skills, abilities and knowledge are used in technological activities such as engineering design. Together, they enable problem solving and artefact creation. Gilbert Ryle’s division of knowledge into knowing how and knowing that is often referred to when discussing this technological knowledge. Ryle’s view has been questioned and criticised by those who claim that there is only one type, for instance, Jason Stanley and Timothy Williamson who claim that knowing how is really a form of knowing that (...) and Stephen Hetherington who claims that knowing that is knowing how. Neither Ryle himself nor any of his critics have discussed technological knowledge. Exposing both Ryle’s and his critics’ ideas to technological knowledge show that there are strong reasons to keep the knowing how–knowing that dichotomy in technological contexts. The main reasons are that they are justified in different ways, that Stanley’s and Williamson’s ideas have great difficulties to account for learning of technological knowing how through training, and that knowing that is susceptible to Gettier problems, which technological knowing how is not. (shrink)

A consensus conference can be used to enable ordinary citizens to have informed input into policy making concerning controversial science and technology issues. To test whether this process could be used at a local level, facilitated by expertise from a university, McMaster University and the City of Hamilton, Ontario, cosponsored a regional consensus conference on waste management. This article describes this experience and evaluates it from three perspectives: how well the process satisfied the criteria of a good public participation (...) process, how much impact the conference had, and how well the positive role envisioned for university involvement was satisfied. Lessons learned are outlined briefly. (shrink)

In contemporary Science, Technology and Society studies, Bruno Latour’s Actor Network Theory is often used to study how social change arises from interaction between people and technologies. Though Latour’s approach is rich in the sense of enabling scholars to appreciate the complexity of many relevant technological, environmental, and social factors in their studies, the approach is poor from an ethical point of view: the doings of things and people are couched in one and the same behaviorist vocabulary without giving (...) due recognition to the ethical relevance of human intelligence, sympathy and reflection in making responsible choices. This article argues that two other naturalist projects, the non-teleological virtue ethics of Charles Darwin and the pragmatist instrumentalism of John Dewey can enrich ANT-based STS studies, both, in a descriptive and in a normative sense. (shrink)

The Internet of Things (IoT) is a fast-growing technology that connects everyday devices to the Internet, enabling wireless, low-consumption and low-cost communication and data exchange. IoT has revolutionized the way devices interact with each other and the internet. The more devices become connected, the greater the risk of security breaches. There is currently a need for new approaches to algorithms that can detect malware regardless of the size of the network and that can adapt to dynamic changes in the (...) network. Through the use of a multi-agent reinforcement learning algorithm, this paper proposes a novel algorithm for malware detection in IoT devices. The proposed algorithm is not strongly dependent on the size of the IoT network due to the that its training is adapted using time differences if the IoT network size is small or Monte Carlo otherwise. To validate the proposed algorithm in an environment as close to reality as possible, we proposed a scenario based on a real IoT network, where we tested different malware propagation models. Different simulations varying the number of agents and nodes in the IoT network have been developed. The result of these simulations proves the efficiency and adaptability of the proposed algorithm in detecting malware, regardless of the malware propagation model. (shrink)

Cultural evolutionists typically emphasize the informational aspect of social transmission, that of the learning, stabilizing, and transformation of mental representations along cultural lineages. Social transmission also depends on the production of public displays such as utterances, behaviors, and artifacts, as these displays are what social learners learn from. However, the generative processes involved in the production of public displays are usually abstracted away in both theoretical assessments and formal models. The aim of this paper is to complement the informational (...) view with a generative dimension, emphasizing how the production of public displays both enable and constrain the production of modular cultural recipes through the process of innovation by recombination. In order to avoid a circular understanding of cultural recombination and cultural modularity, we need to take seriously the nature and structure of the generative processes involved in the maintenance of cultural traditions. A preliminary analysis of what recombination and modularity consist of is offered. It is shown how the study of recombination and modularity depends on a finer understanding of the generative processes involved in the production phase of social transmission. Finally, it is argued that the recombination process depends on the inventive production of an interface between modules and the complex recipes in which they figure, and that such interfaces are the direct result of the generative processes involved in the production of these recipes. The analysis is supported by the case study of the transition from the Oldowan to the Early Acheulean flake detachment techniques. (shrink)

In this article, I establish a theory of knowledge approach for evaluating the use of computers for educational purposes at the university. In so doing, I trace part of the history of the “enabling factor” of Artificial Intelligence in this sector, an important element that has been integrated into everyday learning environments. The result of my reflection is a dialogical structure, directly inspired by past technology assessment research, which illustrates the conceptual advancement of researchers in the field of (...) learning technologies. The notions covered have implications in future policy-related discourse with regards to education. (shrink)

This Article takes the perspective of law and philosophy, integrating insights from computer science. First, I will argue that in the era of big data analytics we need an understanding of privacy that is capable of protecting what is uncountable, incalculable or incomputable about individual persons. To instigate this new dimension of the right to privacy, I expand previous work on the relational nature of privacy, and the productive indeterminacy of human identity it implies, into an ecological understanding of privacy, (...) taking into account the technological environment that mediates the constitution of human identity. Second, I will investigate how machine learning actually works, detecting a series of design choices that inform the accuracy of the outcome, each entailing trade-offs that determine the relevance, validity and reliability of the algorithm’s accuracy for real life problems. I argue that incomputability does not call for a rejection of machine learning per se but calls for a research design that enables those who will be affected by the algorithms to become involved and to learn how machines learn — resulting in a better understanding of their potential and limitations. A better understanding of the limitations that are inherent in machine learning will deflate some of the eschatological expectations, and provide for better decision-making about whether and if so how to implement machine learning in specific domains or contexts. I will highlight how a reliable research design aligns with purpose limitation as core to its methodological integrity. This Article, then, advocates a practice of “agonistic machine learning” that will contribute to responsible decisions about the integration of data-driven applications into our environments while simultaneously bringing them under the Rule of Law. This should also provide the best means to achieve effective protection against overdetermination of individuals by machine inferences. (shrink)

One way to increase the effectiveness of a mobile-oriented learning environment is to use augmented reality technology, which enables the integration of real and virtual learning tools using mobile Internet devices. The purpose of the article is to theoretically substantiate the use of augmented reality technology in physics classes. The article describes and substantiates the relevance of the application of augmented reality technology, considers possible uses of this technology in the educational process, in particular (...) in terms of mobile distance learning. Examples of mobile applications aimed at practice-oriented learning using augmented reality technology are described. Examples of real educational systems that allow to study the disciplines of physical orientation on the basis of this technology are considered. It was found that augmented reality technologies stimulate the educational process and provide the opportunity to implement knowledge in both humanities and natural sciences. This technology expands the educational process towards clarity and motivates the student to further study the material. Visual education is the best thing that can be offered to modern students, which will contribute to the development of scientific and technological progress. The introduction of augmented reality technology makes it possible to improve the quality of education by motivating students to self-study, increasing audience interest in educational material, developing a desire to use modern interactive technical capabilities and technologies, replacing textbooks and laboratory equipment with multimedia computer models. distance learning. (shrink)

This paper aims to develop a strong account of recognition. It begins with a Hegel-inspired account of recognition as a fundamental desire that drives humanity. This account establishes recognition as fundamental to the initial subject formation of independent self-consciousnesses as agents. I offer the lord-bondsman dualism to provide a critique of domination as oppositional to securing the means for recognition. This entails that, as history progresses the world ought to move towards universally adopting mutual recognition relationships without domination. I adopt (...) this goal as an ideal form of recognition. In Chapter 2, I apply this recognitional framework to gender. Through analyzing four theories of gender, I find the recognition of identity has a significant role in shaping the self-consciousness’ self-determination. Recognitional dialogue can enable one to learn new parts of the self, but often forms of recognition dominate and constrain what identity can be. Thus, I explore three prominent methods of harmful recognition in Chapter 3: domination, intelligibility, and misrecognition. I view these harmful recognition methods as undermining mutual recognition relationships through examples such as recognizing deprecating self-images of minority groups and overwriting self-determinations through wrongful or lack of recognition. Despite these difficulties, I propose solutions such as an unintelligibility account which focuses on enabling mutual recognition relationships within group identities rather than society. In Chapter 4 I apply this robust recognitional framework to technology, which I understand as a locus for contemporary problems with recognition. I discuss technologies’ recognitional role as mirrors for humans, that often reflect yet threaten to replace us. I turn to understanding data as a technology that enables harmful recognition in the present day. I find technology is not neutral regarding recognition relationships, but can uphold mutual or harmful recognition depending on how it is used. With my account of recognition developed, I return to the goal of universally achieving mutual recognition relationships. I employ Halberstam’s account of failure to offer hope for achieving mutual recognition despite the many forms of harmful recognition. (shrink)

The discourse of twenty-first century learning argues that education should prepare students for successful living in the twenty-first century workplace and society. It challenges all educators with the idea that contemporary education is unable to do so, as it is designed to replicate an industrial age model, essentially rear-focused, rather than future-focused. Future-focused preparation takes account of the startling effect on economy and society caused by rapid technological change, to the extent that the future cannot be accurately predicted. It (...) is a discourse that effectively renders knowledge obsolete, and which relies increasingly on communication technologies and online pedagogies. This is however an education which in some respects deepens the loss of identity characteristic of contemporary times. Thus, it has negative implications for face-to-face interactions in community which underpins the development of democratic practices. This article challenges these futuristic discourses by appealing to two philosophers of the twentieth century, namely Emmanuel Levinas and Paulo Freire. It considers the Levinasian concepts of the Other and the face, and the Freirean concepts of humanisation and critical education to argue that they offer a discourse of possibility and hope. These thinkers enable the argument that, despite rapid change, there are certain attributes and dispositions that transcend time and place, which schools have not only a right, but an obligation to develop. (shrink)

This paper describes a tool for assisting lawyers and paralegal teams during document review in eDiscovery. The tool combines a machine learning technology (CategoriX) and advanced multi-touch interface capable of not only addressing the usual cost, time and accuracy issues in document review, but also of facilitating the work of the review teams by capitalizing on the intelligence of the reviewers and enabling collaborative work.

Introducción: las tecnologías de la información y las comunicaciones se utilizan cada vez más en las universidades como medios de enseñanza. Se ha optado por el uso de los objetos de aprendizaje para lograr la reutilización, accesibilidad, durabilidad e interoperabilidad en sus recursos educativos. Objetivo: enunciar algunos de los valores humanos que se que se manifiestan en el proceso de autoformación con los objetos de aprendizaje. Método: se utilizó la observación como método científico durante el proceso enseñanza-aprendizaje con los objetos (...) de aprendizaje para la autoformación de los estudiantes. Resultados: se enunciaron algunos valores intelectuales, éticos, estéticos, físicos, morales y sociales, que se revelan en el proceso de autoformación con los objetos de aprendizaje. Conclusiones: Los valores humanos que manifiestan los estudiantes durante el proceso de autoformación con los objetos de aprendizaje sirven para establecer juicios de valor consistentes, derivados de modos de pensar y sentir que les permitan enfrentar sus decisiones vitales. Introduction: Information technology and communications are increasingly used in universities as teaching means in the teaching-learning process. The use of learning objects has been opted to achieve reusability, accessibility, durability and interoperability in its educational resources. Objective: To enunciate some human values occurring in the process of self-education with learning objects. Method: The observation as a scientific method for the teaching-learning process with learning objects for independent self-training of students was used. Results: There have been enunciated some intellectual, ethical, aesthetic, physical, moral and social values that are revealed in the process of self-training with learning objects. Conclusions: The human values that students showed during self-training with learning objects serve to establish consistent value judgments derived from modes of thinking and feeling that enable them to cope with their vital decisions. (shrink)

Funded by the U.S. Department of Education, the Baltimore Learning Community (BLC) project established a networked electronic learning community through the use of high-quality digital science and social studies resources and high-speed networking. The project will enable science and social studies teachers to access images, text, Web sites, and full motion video via high-speed connections to the Internet. Extending such multimedia configurations into urban schools has facilitated a rethinking of teaching and learning in content classes as well (...) as a reconsideration of how media and method are integrated. It facilitates teacher engagement in designing authentic classroom instruction framed by performance assessments and links project teachers and school site coordinators through a client server, thus promoting a network of teachers and students engaged in learning across schools. However, such a project is not without its challenges—human as well as technological. This article discusses the BLC project identifying technology possibilities, current situational constraints, and implications of creating networked learning communities across disciplines and beyond school walls. (shrink)

During the COVID-19 outbreak, educational institutions were closed, and students worldwide were confined to their homes. In an educational environment, students depend on collaborative learning to improve their learning performance. This study aimed to increase the understanding of social media adoption among students during the COVID-19 pandemic for the purpose of CL. Social media provides a learning platform that enables students to easily communicate with their peers and subject specialists, and is conducive to students' CL. This study (...) addresses the key concept of CL during the COVID-19 pandemic by assessing social media use among students in higher education. The relationship between social media use and students' performance is crucial to understanding the role of social media during a pandemic. This study is based on constructivism theory and the technology acceptance model. Structural equation modeling was used to analyze the conceptual model using SmartPLS. The research findings indicate that social media plays an important role during the pandemic because it provides opportunities for students to enhance CL under the aforementioned situations. This study makes noteworthy theoretical and practical contributions. (shrink)

There is an urgent need to learn how to appropriately integrate technologies into dementia care. The aims of this Delphi study were to project which technologies will be most prevalent in dementia care in five years, articulate potential benefits and risks, and identify specific options to mitigate risks. Participants were also asked to identify technologies that are most likely to cause value tensions and thus most warrant a conversation with an older person with mild dementia when families are deciding about (...) their use. Twenty-one interdisciplinary domain experts from academia and industry in aging and technology in the U.S. and Canada participated in a two-round online survey using the Delphi approach with an 84% response rate and no attrition between rounds. Rankings were analyzed using frequency counts and written-in responses were thematically analyzed. Twelve technology categories were identified along with a detailed list of risks and benefits for each. Suggestions to mitigate the most commonly raised risks are categorized as follows: intervene during design, make specific technical choices, build in choice and control, require data transparency, place restrictions on data use and ensure security, enable informed consent, and proactively educate users. This study provides information that is needed to navigate person-centered technology use in dementia care. The specific recommendations participants offered are relevant to designers, clinicians, researchers, ethicists, and policy makers and require proactive engagement from design through implementation. (shrink)

I-BLOCKS are an innovative concept of building blocks allowing users to manipulate conceptual structures and compose atomic actions while building physical constructions. They represent an example of enabling technologies for tangible interfaces since they emphasise physicality of interaction through the use of spatial and kinaesthetic knowledge. The technology presented in this paper is integrated in physical building blocks augmented with embedded and invisible microprocessors. Connectivity and behaviour of such structures are defined by the physical connectivity between the blocks. These (...) are general purpose, constructive, tangible user interface devices that can have a variety of applications. Unlike other approaches, I-BLOCKS do not only specify a computation that is performed by the target system but perform at the same time the computation and the associated action/functionality. Manipulating I-BLOCKS do not only mean constructing physical or conceptual structures but also composing atomic actions into complex behaviours. To illustrate this concept, the paper presents different scenarios in which the technology has been applied: storytelling performed through the construction of physical characters exhibiting emotional states, and learning activities for speech therapy in cases of dyslexia and aphasia. The scenarios are presented; discussing both the features of the technology used and the related interaction design issues. The paper concludes by reporting about informal trials that have been conducted with children. It should be noted that, even if both trials represent application scenarios for children, the I-BLOCKS technology is in principle open to different kinds of applications and target users like, for example, games for adults or brainstorming activities. (shrink)

Resumen. Este artículo ofrece una propuesta enfocada a optimizar el proceso de evaluación sobre el aprovechamiento del alumno, en un ambiente virtual, mediante el concepto GROUPWARE:, técnicas de comunicación grupal, utilizando las Nuevas tecnologías de Información y las Comunicaciones [NTIC’s], como herramientas básicas, llevando el registro y seguimiento estadístico del aprovechamiento actitudinal del estudiante, posibilitando así, el uso y la construcción de índices significativos, seguros y fiables, que permitan al instructor/facilitador/tutor, gestionar de un diagnóstico, sobre el comportamiento, esfuerzo, dedicación y (...) actitud del aprendiz, obteniendo como resultado la participación integra del alumno en los cursos tomados en la plataforma colaborativa permitiendo en consecuencia las medidas preventivas/correctivas sobre la conducta continuamente observada del alumno en el entorno en línea.Palabras claves. Evaluación de enseñanza-aprendizaje, aprovechamiento del alumno, entorno en línea, enseñanza virtual, diagnóstico, indicadores.. This article provides a methodological proposal oriented to optimize the assessment process of a student performance on an on line environment through the application of group communication techniques and widespread use of the new technologies on information and telecommunication as basic tools, based one the process follow-up and statistical data collection from the student´s learning performance and behaviour to enable the construction of significant and reliable indexes thus allowing the advisor a diagnostic on the student´s attitude and performance, allowing him to take on time the adequate preventive/corrective decision measures based on a success/failure tests outputs from the student performance, on a day- to- day basis, on the line environment.Keywords. On line environment, new technologies on information and telecommunication, assessment process, teaching-learning process, student performance, groupware. (shrink)

It has been convincingly argued that computer simulation modeling differs from traditional science. If we understand simulation modeling as a new way of doing science, the manner in which scientists learn about the world through models must also be considered differently. This article examines how researchers learn about environmental processes through computer simulation modeling. Suggesting a conceptual framework anchored in a performative philosophical approach, we examine two modeling projects undertaken by research teams in England, both aiming to inform flood risk (...) management. One of the modeling teams operated in the research wing of a consultancy firm, the other were university scientists taking part in an interdisciplinary project experimenting with public engagement. We found that in the first context the use of standardized software was critical to the process of improvisation, the obstacles emerging in the process concerned data and were resolved through exploiting affordances for generating, organizing, and combining scientific information in new ways. In the second context, an environmental competency group, obstacles were related to the computer program and affordances emerged in the combination of experience-based knowledge with the scientists’ skill enabling a reconfiguration of the mathematical structure of the model, allowing the group to learn about local flooding. (shrink)

Intelligent tutoring system (ITS) is a computer system which aims to provide immediate and customized or reactions to learners, usually without the intervention of human teacher's instructions. Secretariats professional to have the common goal of learning a meaningful and effective manner through the use of a variety of computing technologies enabled. There are many examples of professional Secretariats used in both formal education and in professional settings that have proven their capabilities. There is a close relationship between private (...) lessons intelligent, cognitive learning and design theories; and there are ongoing to improve the effectiveness of ITS research. And it aims to find a solution to the problem of over-reliance on students' teachers for quality education. The program aims to provide access to high-quality education to every student, and therefore the reform of the education system as a whole. In this paper, we will use Intelligent Tutoring System Builder (ITSB) to build an education system on cloud computing in terms of the concept of cloud computing and components and how to take advantage of cloud computing in the field. (shrink)

Ambient Assisted Living (AAL) refers to technologies that track daily activities of persons in need of care to enhance their autonomy and minimise their need for assistance. New technological developments show an increasing effort to integrate automated emotion recognition and regulation (ERR) into AAL systems. These technologies aim to recognise emotions via different sensors and, eventually, to regulate emotions defined as “negative” via different forms of intervention. Although these technologies are already implemented in other areas, AAL stands out by its (...) tendency to enable an inconspicuous 24-hour surveillance in the private living space of users who rely on the technology to maintain a certain degree of independence in their daily activities. The combination of both technologies represents a new dimension of emotion recognition in a potentially vulnerable group of users. Our paper aims to provide an ethical contextualisation of the novel combination of both technologies. We discuss different concepts of emotions, namely Basic Emotion Theory (BET) and the Circumplex Model of Affect (CMA), that form the basis of ERR and provide an overview over the current technological developments in AAL. We highlight four ethical issues that specifically arise in the context of ERR in AAL systems, namely concerns regarding (1) the reductionist view of emotions, (2) solutionism as an underlying assumption of these technologies, (3) the privacy and autonomy of users and their emotions, (4) the tendency of machine learning techniques to normalise and generalise human behaviour and emotional reactions. (shrink)

Research on fairness in machine learning (ML) has been largely focusing on individual and group fairness. With the adoption of ML-based technologies as assistive technology in complex societal transformations or crisis situations on a global scale these existing definitions fail to account for algorithmic fairness transnationally. We propose to complement existing perspectives on algorithmic fairness with a notion of transnational algorithmic fairness and take first steps towards an analytical framework. We exemplify the relevance of a transnational fairness assessment (...) in a case study on a disaster response system using images from online social media. In the presented case, ML systems are used as a support tool in categorizing and classifying images from social media after a disaster event as an almost instantly available source of information for coordinating disaster response. We present an empirical analysis assessing the transnational fairness of the application’s outputs-based on national socio-demographic development indicators as potentially discriminatory attributes. In doing so, the paper combines interdisciplinary perspectives from data analytics, ML, digital media studies and media sociology in order to address fairness beyond the technical system. The case study investigated reflects an embedded perspective of peoples’ everyday media use and social media platforms as the producers of sociality and processing data-with relevance far beyond the case of algorithmic fairness in disaster scenarios. Especially in light of the concentration of artificial intelligence (AI) development in the Global North and a perceived hegemonic constellation, we argue that transnational fairness offers a perspective on global injustices in relation to AI development and application that has the potential to substantiate discussions by identifying gaps in data and technology. These analyses ultimately will enable researchers and policy makers to derive actionable insights that could alleviate existing problems with fair use of AI technology and mitigate risks associated with future developments. (shrink)

Information education has been vigorously promoted in various countries, making the application of information technologies in language education popular. The combination of information technologies and Japanese learning can make information technologies a practical tool to promote the thinking and cognitive abilities of students in Japanese learning. Corpus teaching is a kind of information technologies integrated teaching method, which enables students to carry out meaningful Japanese learning and promotes learning performance and learning effect of students. Based (...) on information education, the Japanese learning method under Internet corpus is constructed and applied to practical teaching. This study investigates learning performance and the learning effect of students through a questionnaire. Through the experimental design, Japanese teaching has been conducted on 322 students in a university in Shanghai for 18 weeks under the experimental Internet corpus. Through the experiment, it is found that various factors affect the Internet corpus learning method, and the linear relationship between the influencing factors is divided. Through the comparison results, it is also found that the Internet corpus teaching method can have a positive impact on the learning performance of students and then promote their learning effect. The application of Internet corpus learning matches the development of text corpus and audio corpus and the support of picture databases. Audio and video corpora can effectively improve the learning performance and the learning effect of students by searching for learning content in the database. Suggestions are put forward that the government should optimize its policies to promote Japanese learning and informal education based on learning performance. (shrink)