In this research work, a user-friendly decision support framework is developed to analyze the behavior of Pakistani students in academics. The purpose of this article is to analyze the performance of the Pakistani students using an intelligent decision support system (DSS) based on the three-level machine learning (ML) technique. The neural network used a three-level classifier approach for the prediction of Pakistani student achievement. A self-recorded dataset of 1,011 respondents of graduate students of English and Physics (...) courses are used. The ten interviews along with ten questions were conducted to determine the perception of the individual student. The chi-squared ( χ ) \left(\chi ) test was applied to test statistical significancy of the questionnaire. The statistical calculations and computation of data were performed by using the statistical package of IBMM SPSS version 21.0. The seven different algorithms were tested to improve the data classification. The Java-based environment was used for the development of numerous prediction classifiers. C4.5 algorithm shows the finest accuracy, whereas Naïve Bayes (NB) algorithm shows the least. The results depict that the classifier’s efficiency was improved by using a three-level proposed scheme from 83.2% to 88.8%. This prediction has shown remarkable results when compared with the individual level classifier technique of ML. This improvement in the accuracy of DSSs is used to identify more efficiently the gray areas in the education stratum of Pakistan. This will pave a path for making policies in the higher education system of Pakistan. The presented framework can be deployed on different platforms under numerous operating systems. (shrink)

The paper sets out the challenges facing the Police in respect of the detection and prevention of the volume crime of burglary. A discussion of data mining and decision support technologies that have the potential to address these issues is undertaken and illustrated with reference the authors’ work with three Police Services. The focus is upon the use of “soft” forensic evidence which refers to modus operandi and the temporal and geographical features of the crime, rather than “hard” (...) evidence such as DNA or fingerprint evidence. Three objectives underpin this paper. First, given the continuing expansion of forensic computing and its role in the emergent discipline of Crime Science, it is timely to present a review of existing methodologies and research. Second, it is important to extract some practical lessons concerning the application of computer science within this forensic domain. Finally, from the lessons to date, a set of conclusions will be advanced, including the need for multidisciplinary input to guide further developments in the design of such systems. The objectives are achieved by first considering the task performed by the intended systems users. The discussion proceeds by identifying the portions of these tasks for which automation would be both beneficial and feasible. The knowledge discovery from databases process is then described, starting with an examination of the data that police collect and the reasons for storing it. The discussion progresses to the development of crime matching and predictive knowledge which are operationalised in decision support software. The paper concludes by arguing that computer science technologies which can support criminal investigations are wide ranging and include geographical information systems displays, clustering and link analysis algorithms and the more complex use of data mining technology for profiling crimes or offenders and matching and predicting crimes. We also argue that knowledge from disciplines such as forensic psychology, criminology and statistics are essential to the efficient design of operationally valid systems. (shrink)

This paper aims to identify the decision support systems and their role on the strategic management development in the Universities- Case Study: Islamic University of Gaza. The descriptive approach was used where a questionnaire was developed and distributed to a stratified random sample. (230) questionnaires were distributed and (204) were returned with response rate (88.7%). The most important findings of the study: The presence of a statistically significant positive correlation between the decision support systems and strategic (...) management in the Islamic University in Gaza, and this shows that there is a role for decision support systems in strategic management development. The senior management is convinced of the importance of strategic management of the organization, and this conviction paid to clearly understand the process of the development of strategic management and thus led to a commitment to this process to improve its performance. There is an impact on the strategic management of the capabilities available for the use of decision support systems, and the type of decision support systems used, while there is little effect of top management support for the use of decision support systems. Also, the results showed that there were no statistically significant differences between the averages of the respondents answers attributed to personal data. The research also concluded a series of recommendations: The Islamic University of Gaza need to develop its infrastructure of decision support systems when it develops the strategic management. It should increase its interest in organizational potential through the necessity of a separate unit for decision support systems. As well as increased interest in the physical and technical capabilities available to decision support systems through continuity in keeping pace with technological means and techniques, continued support of senior management in the organization of strategic management for its positive role on decision support systems, that senior management will continue in the organization in creating a culture of strategic management, and it should encourage employees to participate in the strategic management process. (shrink)

Decision makers in banking, insurance or employment mitigate many of their risks by telling “good” individuals and “bad” individuals apart. Laws codify societal understandings of which factors are legitimate grounds for differential treatment —or are considered unfair discrimination, including gender, ethnicity or age. Discrimination-aware data mining implements the hope that information technology supporting the decision process can also keep it free from unjust grounds. However, constraining data mining to exclude a fixed enumeration of potentially discriminatory features is insufficient. (...) We argue for complementing it with exploratory DADM, where discriminatory patterns are discovered and flagged rather than suppressed. This article discusses the relative merits of constraint-oriented and exploratory DADM from a conceptual viewpoint. In addition, we consider the case of loan applications to empirically assess the fitness of both discrimination-aware data mining approaches for two of their typical usage scenarios: prevention and detection. Using Mechanical Turk, 215 US-based participants were randomly placed in the roles of a bank clerk or a citizen / policy advisor. They were tasked to recommend or predict the approval or denial of a loan, across three experimental conditions: discrimination-unaware data mining, exploratory, and constraint-oriented DADM. The discrimination-aware tool support in the eDADM and cDADM treatments led to significantly higher proportions of correct decisions, which were also motivated more accurately. There is significant evidence that the relative advantage of discrimination-aware techniques depends on their intended usage. For users focussed on making and motivating their decisions in non-discriminatory ways, cDADM resulted in more accurate and less discriminatory results than eDADM. For users focussed on monitoring for preventing discriminatory decisions and motivating these conclusions, eDADM yielded more accurate results than cDADM. (shrink)

There are several systems which provide computer support to legal decisions. Perhaps the most significant ones, besides various computerised systems for administration, are information retrieval systems that locate statutes and documents. Other research projects, however, deal with legislation and adjudication, making it possible to use information techniques in making legal decisions. I wish to describe two decision-support programs and to link them to some theoretical findings of my former researches. What connects those programs is that they (...) give some new information for decisions on the basis of previous similar legal cases; both describe cases with the help of criteria and use diverse artificial intelligence methods for different types or criteria. The first of the two programs aims to support decisions of insurance specialists by assessing the measure of the compensation for immaterial damage. The result is given by the combination of a neural network, based upon previous judicial cases, and an expert system. The neural network gives the first assessment for the sum of compensation while the expert system refines the network's output. The other program can be used by judges and lawyers in the course of preparing a decision. Studying cases of road accidents, we find that fuzzy logic methods can help to approximate decisions actually given by judges. In this way, the process of decision making by courts and lawyers receives an additional piece of information, obtained by comparing the seriousness of the actual case with that of previous cases. (shrink)

Ethical decision support procedures have an underlying difficulty in that they do not clearly distinguish the varying impacts of the constituent features of the examined ethical situation. The failure to recognize these features and their varying impacts leads to two critical problems; the risk of removing positive ethical elements as well as negative ones when mitigating the ethical problem, and missing some viable alternative actions. A modified version of line drawing is presented as a way to address these (...) two problems when it is used as an adjunct to already established decision techniques. (shrink)

Negotiation Support Systems have traditionally modelled the process of negotiation. They often rely on mathematical optimisation techniques and ignore heuristics and other methods derived from practice. Our goal is to develop systems capable of decision support to help resolve a given dispute. A system we have constructed, Family_Winner, uses empirical evidence to dynamically modify initial preferences throughout the negotiation process. It sequentially allocates issues using trade-offs and compensation opportunities inherent in the dispute.

The perspective of online dispute resolution is to develop an online electronic system aimed at solving out-of-court disputes. Among ODR schemes, eMediation is becoming an important tool for encouraging the positive settlement of an agreement among litigants. The main motivation underlying the adoption of eMediation is the time/cost reduction for the resolution of disputes compared to the ordinary justice system. In the context of eMediation, a fundamental requirement that an ODR system should meet relates to both litigants and mediators, i.e. (...) to enable an informed negotiation by informing the parties about the rights and duties related to the case. In order to match this requirement, we propose an information retrieval system able to retrieve relevant court decisions with respect to the disputant case description. The proposed system combines machine learning and natural language processing techniques to better match disputant case descriptions with court decisions. Experimental results confirm the ability of the proposed solution to empower court decision retrieval, enabling therefore a well-informed eMediation process. (shrink)

This “Legal Briefing” column covers recent legal developments involving patient decision aids. This topic has been the subject of recent articles in JCE. It is included in the 2010 Patient Protection and Affordable Care Act. And it has received significant attention in the biomedical literature, including a new book, a thematic issue of Health Affairs, and a recent article in the New England Journal of Medicine. Moreover, physicians and health systems across the United States are increasingly integrating decision (...) aids into their clinical practice. Both federal and state laws play a significant role in promoting this expanded use. On the other hand, concerns about liability could stymie development and implementation. We categorize legal developments concerning patient decision aids into the following five sections:1. Development of decision aids2. Effectiveness of decision aids3. Federal regulation of decision aids4. State regulation of decision aids5. Legal concerns regarding decision aids. (shrink)

The purpose of this study is to expand our understanding of the factors that influence ethical behavioral intentions of public accountants. Recent scandals have dominated the news and have caused legislators, regulators and the public to question the role of the accounting profession. Legislative changes have brought about major structural changes in the profession and continued scrutiny will surely lead to further changes. Thus, developing an understanding of the personal and contextual factors that influence ethical decisions is critical. An extension (...) of the theory of planned behavior [Ajzen, I.: 1985, Action Control-From Cognition to Behavior ], the model used in this study examined the influence of personal, social and organizational factors on ethical intentions. Specifically, the individual level model tested direct eects of attitudes, subjective norms, perceived behavioral control, moral sensitivity and ethical climate. Professionals from five accounting firms completed a survey that measured responses to ethical dilemmas related to the public accounting domain. To minimize the potential impact of common method bias, the survey instrument was administered in two phases. Hypotheses were evaluated using a structural modeling technique, partial least squares. Results show strong support for a direct relationship between attitudes and ethical intentions. The proposed direct eect of subjective norms was not supported. However, a significant relationship between subjective norms and attitudes was found. Professionals' attitudes towards ethical issues clearly influence intentions. Moreover, this study illustrates the potential influence of social factors in attitude formation. Future research should explore the factors in the public accounting domain that most strongly influence attitude formation. This study suggests that the theory of reasoned action oers a useful framework for exploring these issues. (shrink)

The use of visual attention for evaluating consumer behavior has become a relevant field in recent years, allowing researchers to understand the decision-making processes beyond classical self-reports. In our research, we focused on using eye-tracking as a method to understand consumer preferences in children. Twenty-eight subjects with ages between seven and twelve years participated in the experiment. Participants were involved in two consecutive phases. The initial phase consisted of the visualization of a set of stimuli for decision-making in (...) an eight-position layout called Alternative Forced-choice. Then the subjects were asked to freely analyze the set of stimuli, they needed to choose the best in terms of preference. The sample was randomly divided into two groups balanced by gender. One group visualized a set of icons and the other a set of toys. The final phase was an independent assessment of each stimulus viewed in the initial phase in terms of liking/disliking using a 7-point Likert scale. Sixty-four stimuli were designed for each of the groups. The visual attention was measured using a non-obstructive eye-tracking device. The results revealed two novel insights. Firstly, the time of fixation during the last 4 visits to each stimulus before the decision-making instant allows us to recognize the icon or toy chosen from the eight alternatives with a 71.2% and 67.2% of accuracy respectively. The result supports the use of visual attention measurements as an implicit tool to analyze decision-making and preferences in children. Secondly, eye movement and the choice of liking/disliking choice are influenced by stimuli design dimensions. The icon observation results revealed how gender samples have different fixation and different visit times which depend on stimuli design dimension. The toy observations results revealed how the materials determinate the largest amount fixations, also, the visit times were differentiated by gender. This research presents a relevant empirical data to understand the decision-making phenomenon by analyzing eye movement behavior. The presented method can be applied to recognize the choice likelihood between several alternatives. Finally, children's opinions represent an extra difficulty judgment to be determined, and the eye-tracking technique seen as an implicit measure to tackle it. (shrink)

The purpose of this study is to expand our understanding of the factors that influence ethical behavioral intentions of public accountants. Recent scandals have dominated the news and have caused legislators, regulators and the public to question the role of the accounting profession. Legislative changes have brought about major structural changes in the profession and continued scrutiny will surely lead to further changes. Thus, developing an understanding of the personal and contextual factors that influence ethical decisions is critical. An extension (...) of the theory of planned behavior [Ajzen, I.: 1985, Action Control-From Cognition to Behavior (Springer, Heidelberg)], the model used in this study examined the influence of personal, social and organizational factors on ethical intentions. Specifically, the individual level model tested direct effects of attitudes, subjective norms, perceived behavioral control, moral sensitivity and ethical climate. Professionals from five accounting firms completed a survey that measured responses to ethical dilemmas related to the public accounting domain. To minimize the potential impact of common method bias, the survey instrument was administered in two phases. Hypotheses were evaluated using a structural modeling technique, partial least squares. Results show strong support for a direct relationship between attitudes and ethical intentions. The proposed direct effect of subjective norms was not supported. However, a significant relationship between subjective norms and attitudes was found. Professionals’ attitudes towards ethical issues clearly influence intentions. Moreover, this study illustrates the potential influence of social factors in attitude formation. Future research should explore the factors in the public accounting domain that most strongly influence attitude formation. This study suggests that the theory of reasoned action offers a useful framework for exploring these issues. (shrink)

Jacques Ellul’s claim that technique became an autonomous phenomenon during the middle of the 20th century, and subsequently a system, means that the influence people have on technique is much less decisive than the influence technique has on people. As a sociohistorical description of the relationship between technique and society, it can be empirically investigated. This article begins by clarifying the concept of an autonomous technique and reviews evidence to support this claim.

This book deals with the theoretical, methodological, and empirical implications of bounded rationality in the operation of institutions. It focuses on decisions made under uncertainty, and presents a reliable strategy of knowledge acquisition for the design and implementation of decision-support systems. Based on the distinction between the inner and outer environment of decisions, the book explores both the cognitive mechanisms at work when actors decide, and the institutional mechanisms existing among and within organizations that make decisions fairly predictable. (...) While a great deal of work has been done on how organizations act as patterns of events for (boundedly) rational decisions, less effort has been devoted to study under which circumstances organizations cease to act as such reliable mechanisms. Through an empirical strategy on open-ended response data from a survey among junior judges, the work pursues two main goals. The first one is to explore the limits of "institutional rationality" of the Spanish lower courts on-call service, an optimal scenario to observe decision-making under uncertainty. The second aim is to achieve a better understanding of the kind of uncertainty under which inexperienced decision-makers work. This entails exploring the demands imposed by problems and the knowledge needed to deal with them, making this book also a study on expertise achievement in institutional environments. This book combines standard multivariate statistical methods with machine learning techniques such as multidimensional scaling and topic models, treating text as data. Doing so, the book contributes to the collaboration between empirical social scientific approaches and the community of scientists that provide the set of tools and methods to make sense of the fastest growing resource of our time: data. (shrink)

With the rise and public accessibility of AI-enabled decision-support systems, individuals outsource increasingly more of their decisions, even those that carry ethical dimensions. Considering this trend, scholars have highlighted that uncritical deference to these systems would be problematic and consequently called for investigations of the impact of pertinent technology on humans’ ethical decision-making. To this end, this article conducts a systematic review of existing scholarship and derives an integrated framework that demonstrates how intelligent decision-support systems (...) (IDSSs) shape humans’ ethical decision-making. In particular, we identify resulting consequences on an individual level (i.e., deliberation enhancement, motivation enhancement, autonomy enhancement and action enhancement) and on a societal level (i.e., moral deskilling, restricted moral progress and moral responsibility gaps). We carve out two distinct methods/operation types (i.e., processoriented and outcome-oriented navigation) that decision-support systems can deploy and postulate that these determine to what extent the previously stated consequences materialize. Overall, this study holds important theoretical and practical implications by establishing clarity in the conceptions, underlying mechanisms and (directions of) influences that can be expected when using particular IDSSs for ethical decisions. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:My Circumcision Decision:A Journey of Inquiry, Courage and DiscoveryLaurie EvansBefore becoming a mother, I was teaching parents to massage their babies and offering trainings for professionals. To promote my work, in 1984, I exhibited at the Whole Life Expo in New York City. When I returned to my booth after a break, I noticed someone had left a pamphlet by Edward Wallerstein, who wrote "Circumcision: An American Health (...) Fallacy." Since I am naturally curious, I read it. Disturbed, I thought of tossing it. But, how could I be teaching a nurturing technique for newborns and avoid this topic? As a Jewish woman, how would I make the decision for my own future sons? Little did I know this one piece of paper would lead me on a path of inquiry that would change my life.One of the presenters at this conference was Dr. Robert Mendelsohn, an Orthodox pediatrician. Although Dr. Mendelsohn realized some parents would allow circumcision for religious reasons, he was honest enough to dispel every medical myth and explain the harm of removing normal functioning tissue. He also described possible complications from removing the foreskin, including infection, hemorrhage, and although rare, death.To learn more, I read whatever I could find on the topic. I attended midwifery and childbirth conferences to promote my work and prepare for when I became pregnant. I decided to ask about circumcision, but the conversations were awkward and I received little helpful information. I found that circumcision was a taboo topic; few people wanted to talk about it. Why? Doctors who perform circumcisions, nurses who recommend it, and parents who consent to it do not want to face the reality of the harm they cause. Instead of facing the pain, they avoid the topic, and the procedure continues. Most men do not want to discuss or think about their own circumcisions. I learned that we need to have compassion during these conversations.A Jewish ritual ceremony (bris) is performed on the eighth day after the boy's birth, and includes circumcision and prayers. At a bris, friends and relatives are invited to observe and celebrate. It is part of my heritage. I tried to talk to my relatives about the information I had found, but everyone refused to discuss it. This avoidance made my decision very difficult. Then, for the first time, I was invited to a bris; I didn't want to attend. However, I had been at the boy's birth, so I decided to go to offer support. During the circumcision, my reaction was intense: I wanted to take the baby and run. I felt like an accomplice. I wanted to grab people by the [End Page E2] shoulders and scream, "How dare you?" I vowed I would never attend another bris, and I made the decision to write publicly instead of anonymously.I still had doubts, because I didn't know one intact adult male. What if I were to have a son, keep him intact, and he developed a complication later in life? I have learned that doctors are not taught non-invasive solutions, so most circumcisions performed after infancy are unnecessary. A Jewish doctor recommended a circumcision for a seventynine year old man who had a persistent rash that would not respond to treatment. Our organization suggested that he apply topical acidophilus. After he followed the recommendation, the rash disappeared, so he canceled the circumcision.In 1985, I became pregnant. Like many women I spoke to, I didn't want to face the circumcision decision, so I prayed for a girl. Our childbirth educator shared about male circumcision, which led to conversations with my husband. These tense interactions ended in an impasse. I wondered how this decision would impact my marriage. I experienced immense relief that my firstborn was a girl. Time was on my side.One day while walking in New York City, I serendipitously crossed paths with my childbirth educator. She was going to the United Nations to oppose female circumcision. I was in my 30s and had a master's degree in teaching. I had studied massage and anatomy. Yet, I had never heard about this tribal ritual. I had... (shrink)

BackgroundHealth behavior change is among the top recommendations for improving health of patients with lifestyle-related chronic diseases. An array of behavior change techniques have been developed to support behavior change initiation and maintenance. These BCTs often show limited success when they are not informed by theory, leading to a mismatch between the intention of the BCT and patients’ needs or expectations. Previous studies have identified a number of resources which patients may require to initiate and maintain health behavior (...) change. Indeed, not yet well established is how BCTs address these resources, i.e., the functional mechanisms of BCTs.PurposeProvide a theoretical framework of the functional mechanisms of BCTs for developing and implementing successful interventions for health behavior change.MethodsConceptual review, including literature analysis and synthesis as well as conceptualization of a new model based on the synthesis.ResultsThrough the integration of dual-process models as well as reward and motivation proceeding, i.e., affective, emotional, or intuitive neurobiological cues, into the rational framework of rather linear cognitive or task-related decision progress, we categorize previously identified resources into three distinct sets: external, internal reflective, and internal affective resources. Based on this triad, we classify BCTs according to their functional mechanisms into facilitating, boosting, and nudging. Consequently, we present a simplified Behavior Change Resource Model that is centered on patients’ resources.ConclusionThe model can be applied to develop health behavior change interventions, which promote engagement and empowerment. Future studies should aim at testing the applicability and practicality of the BCRM. (shrink)

This paper describes a new course in Medical Technology and Critical Decisions, part of the Technology Studies Program at Wellesley College, established with the support of the Alfred P. Sloan Foundation's New Liberal Arts Program. The course uses the dramatic new options in medicine presented by technology to individuals and society as a vehicle for promoting general technological literacy in liberal arts students. The course motivates the study of the scientific principles on which the technology rests and the mathematical (...) principles of a methodology for making rational choices. A case in point is the decision of a pregnant woman whether or not to undergo amniocentesis, a procedure used to determine the genetic make-up of a fetus from cells in the amniotic fluid. The course introduces students to the underlying notions of genetics; the physical principles behind the ultrasound imaging technique used to position the needle that draws the fluid; the probability and statistics needed to understand the risks to the woman and fetus both of having and of not having the procedure; and the methodology of decision analysis, increasingly used by genetic counselors to help prospective parents incorporate their personal values into the decision-making process. (shrink)

The liver is the human body’s mandatory organ, but detecting liver disease at an early stage is very difficult due to the hiddenness of symptoms. Liver diseases may cause loss of energy or weakness when some irregularities in the working of the liver get visible. Cancer is one of the most common diseases of the liver and also the most fatal of all. Uncontrolled growth of harmful cells is developed inside the liver. If diagnosed late, it may cause death. Treatment (...) of liver diseases at an early stage is, therefore, an important issue as is designing a model to diagnose early disease. Firstly, an appropriate feature should be identified which plays a more significant part in the detection of liver cancer at an early stage. Therefore, it is essential to extract some essential features from thousands of unwanted features. So, these features will be mined using data mining and soft computing techniques. These techniques give optimized results that will be helpful in disease diagnosis at an early stage. In these techniques, we use feature selection methods to reduce the dataset’s feature, which include Filter, Wrapper, and Embedded methods. Different Regression algorithms are then applied to these methods individually to evaluate the result. Regression algorithms include Linear Regression, Ridge Regression, LASSO Regression, Support Vector Regression, Decision Tree Regression, Multilayer Perceptron Regression, and Random Forest Regression. Based on the accuracy and error rates generated by these Regression algorithms, we have evaluated our results. The result shows that Random Forest Regression with the Wrapper Method from all the deployed Regression techniques is the best and gives the highest R2-Score of 0.8923 and lowest MSE of 0.0618. (shrink)

End of April 2021, the European Commission published its study on New Genomic Techniques (NGTs). The study involved a consultation of Member States and stakeholders. This study reveals a split on whether current legislation should be maintained or adapted to take account of scientific progress and the risk level of NGT products. This split was predictable. New technological developments challenge both ethical viewpoints and regulatory institutions; and contribute to the growing divide between science and society that value ‘technological innovations’ (...) differently. Such controversies are often characterized as ‘unstructured’ because of nearly unbridgeable positions on entangled scientific and value-laden issues. Initiatives for stakeholder involvement, such as consultation or participation, often focus on reaching a ‘shared vision’ without exploring the diverse societal concerns and values behind these positions. To resolve the EU stalemate in NGT regulation, we advocate to bring back politics in the EU decision-making process instead of hiding it under the veil of science, the need for regulatory change and public support. A more productive and justified use of genuine stakeholder participation is possible, if participants and deliberation design meet the criteria of what we call _participation ethics_. Drawing from our applied experience exploring the ethics of genetic modification, we believe that this approach can lead to more robust political decision-making and restore societal confidence in the governance of contested issues such as NGTs. (shrink)

How do affect and cognition interact in managerial decision making? Over the last decades, scholars have investigated how managers make decisions. However, what remains largely unknown is the interplay of affective states and cognition during the decision-making process. We offer a systematization of the contributions produced on the role of affect and cognition in managerial decision making by considering the recent cross-fertilization of management studies with the neuroscience domain. We implement a Systematic Literature Review of 23 selected (...) contributions dealing with the role of affect and cognition in managerial decisions that adopted neuroscience techniques/points of view. Collected papers have been analyzed by considering the so-called reflexive (X-) and reflective (C-) systems in social cognitive neuroscience and the type of decisions investigated in the literature. Results obtained help to support an emerging “unified” mind processing theory for which the two systems of our mind are not in conflict and for which affective states have a driving role toward cognition. A research agenda for future studies is provided to scholars who are interested in advancing the investigation of affect and cognition in managerial decision making, also through neuroscience techniques – with the consideration that these works should be at the service of the behavioral strategy field. (shrink)

International large-scale assessments, such as PISA, provide structured and static data. However, due to its extensive databases, several researchers place it as a reference in Big Data in Education. With the goal of exploring which factors at country, school and student level have a higher relevance in predicting student performance, this paper proposes an Educational Data Mining approach to detect and analyze factors linked to academic performance. To this end, we conducted a secondary data analysis and built decision trees (...) (C4.5 algorithm) to obtain a predictive model of school performance. Specifically, we selected as predictor variables a set of socioeconomic, process and outcome variables from PISA 2018 and other sources (World Bank, 2020). Since the unit of analysis were schools from all the countries included in PISA 2018 (n= 21,903), student and teacher predictor variables were imputed to the school database. Based on the available student performance scores in Reading, Math, and Science, we applied k-means clustering to obtain a categorized (three categories) target variable of global school performance. Results show the existence of two main branches in the decision tree, split according to the schools’ mean socioeconomic status (SES). While performance in high-SES schools is influenced by educational factors such as metacognitive strategies or achievement motivation, performance in low-SES schools is affected in greater measure by country-level socioeconomic indicators such as GDP, and individual educational indicators are relegated to a secondary level. Since these evidences are in line and delve into previous research, this work concludes by analyzing its potential contribution to support the decision making processes regarding educational policies. (shrink)

In evaluating difficult decisions which have a wide social impact, consequentialist ethics offers the most reliable footing. Consequentialism is necessary, for that matter, in order to make room for scientific input which will in turn endeavour to provide accurate and objective predictions of the effects of the decisions in question. In the final analysis, we are dealing with value-laden choices and consequentialism should not be, and in fact cannot be, reduced to one specific ethical option. For this reason a political (...) process is necessary for negotiating between the diversity of perspectives. Such a process will proceed in a more structured manner if techniques to make our ethical evaluation more explicit are used, and the furthest that can be gone in this regard is to try to reduce the various effects, as far as is possible, to one common denominator.Socio-economic cost-benefit analysis is often presented as an objective instrument for evaluating governmental decisions. As a matter of fact, however, it departs from a quite specific utilitarian option , and one which is not easy to accept. From this perspective, decisions are evaluated exclusively on the basis of the subjective advantage they bring to individuals in society. The idea of evaluating the various effects involvedin monetary terms can, nevertheless, remain of value, even when we are inclined to resist the technocratic illusion fostered by some supporters of SCBA. Monetary evaluation should certainly not be considered the last word in the discussion. On the contrary, it should be seen as a necessary reference point for the structuring of a wider ethical and political debate.In this paper I have focused exclusively on difficult governmental decisions which have significant economic aspects, i.e. where many of the effects involved can easily be evaluated in market terms. Of course, when this is not the case, the practical advantages of monetary evaluation techniques disappear. When decisions take place at a more personal level, even consequentialism will lose much of its ethical appeal. (shrink)

Physicians and other healthcare professionals are increasingly finding ways to use artificial intelligent decision support systems in their work. IBM Watson Health, for example, is a commercially available technology that is providing AI-DDS services in genomics, oncology, healthcare management and more.1 AI’s ability to scan massive amounts of data, detect patterns, and derive solutions from data is vastly more superior than that of humans. AI technology is undeniably integral to the future of healthcare and public health, and thoughtful (...) consideration of the legal, ethical and moral issues surrounding this technology is a must. The authors of the article, Responsibility, Second Opinions, and Peer-Disagreement—Ethical and Epistemological Challenges of Using AI in Clinical Diagnostic Contexts, provide an informed discussion of how AI-DSS may be used, both practically and ethically, to assist healthcare professionals in cooperative diagnostic processes2. The authors propose a process, whereby AI-DSS would provide a physician a second opinion, and when there is a mismatch between opinions, another physician would provide a third opinion. This approach maintains a ‘physician-in-charge’ perspective, and suggests that decision-making must ultimately be made by a person. This approach is also consistent with the ‘physician in-the-loop’ concept, such that even when increasingly autonomous AI-DSSs are put to use, physicians will still be providing checks and overseeing clinical decisions. The authors conceptualise AI as a replacement of human cognitive labour. That is, AI is used to supplant a human professional in particular functions …. (shrink)

Perceptions of justice in decision outcomes and processes increases trust, support for authorities, and satisfaction with unfavorable outcomes (Lind and Tyler 1988). However, very little research has been done to apply justice concepts to natural resource decision making contexts (an exception is Lauber and Knuth 1997; 1998). In the study presented here, two rounds of focus groups with public participants in the Northern Lower Michigan Ecosystem Management Project were conducted. Participants were asked to describe their experiences with (...) and attitudes toward different types of public participation. They were also asked what criteria they use when judging the fairness of a natural resource agency decision. Themes emerging in the answers included the importance of representation, voice, consideration, logic, and desired outcomes. These are very similar to justice principles documented in other fields. This suggests managers would be wise to focus less on public participation techniques and more on achieving fair decision-making processes. (shrink)

Fuzzy sets and fuzzy logics are used to model events with imprecise, incomplete, and uncertain information. Researchers have developed numerous methods and techniques to cope with fuzziness or uncertainty. This research intends to introduce the novel concepts of complex neutrosophic relations and its types based on the idea of complex neutrosophic sets. In addition, these concepts are supported by suitable examples. A CNR discusses the quality of a relationship using the degree of membership, the degree of abstinence, and the (...) degree of nonmembership. Each of these degrees is a complex number from the unit circle in a complex plane. The real part of complex-valued degrees represents the amplitude term, while the imaginary part represents the phase term. This property empowers CNRs to model multidimensional variables. Moreover, some interesting properties and useful results have also been proved. Furthermore, the practicality of the proposed concepts is verified by an application, which discusses the use of the proposed concepts in statistical decision-making. Additionally, a comparative analysis between the novel concepts of CNRs and the existing methods is carried out. (shrink)

Freedom of information laws promote transparency by permitting individuals and organizations to obtain government documents. However, exemptions from disclosure are necessary to protect privacy and to permit government officials to deliberate freely. Deliberative language is often the most challenging and burdensome exemption to detect, leading to high processing costs and delays in responding to open-records requests. This paper describes a novel deliberative-language detection model trained on a new annotated training set. The deliberative-language detection model is a component of a (...) class='Hi'>decision-support system for open-records requests under the US Freedom of Information Act, the FOIA Assistant, that ingests documents responsive to an open-records requests, suggests passages likely to be subject to deliberative language, privacy, or other exemptions, and assists analysts in rapidly redacting suggested passages. The tool’s interface is based on extensive human-factors and usability studies with analysts and is currently in operational testing by multiple US federal agencies. (shrink)

Abstract— This study aimed to identify the degree of use of the capabilities of decision-support systems in Palestinian institutions higher education, Aqsa University in Gaza - a case study. The study used a analytical descriptive approach, and the researchers used the of questionnaire tool to collect the data, the researchers using stratified random sample distributed (150) questioners to the study population and (126) was obtained back with rate of 84%. The study showed that the most important results are: (...) that senior management supports the existence of decision support systems and that there is approval by the respondents on the paragraphs of the use of the capabilities of decision support systems in general. And that there are no significant differences between the averages of the answers of respondents differences about the degree of use of decision support systems capabilities attributed to personal data. The study also concluded a series of recommendations including: increasing the adoption of the senior management decision support in their decision-making systems. And increased regulatory attention to the potential available to decision support systems directly to the senior management in the Palestinian universities in the Gaza Strip. There is an increased interest in the physical and technical possibilities available for the use of decision support systems. There is an increased interest in human potential available for the use of decision support systems. Investment of information available to universities in building the capacities of integration techniques and other information technology capabilities. The empowerment of human resources in universities and participating in making decisions concerning the construction of the capabilities of information technology. (shrink)

Based on applied linguistics, this study looked at the decision support system for emphasizing self-assurance in academic writing. From a generic perspective, academic writing has been considered both a process and a product. It has highlighted the planning composite processes, editing, composing, revising, and assessment, which depend upon the familiarity of someone with confidence in their capability for engagement in these activities. As a product, it has focused on the writing results through the product’s characteristics. These contain specific (...) content areas in acceptable depth and well-structured technical vocabulary. Higher education aims to support students in optimizing their potential for achieving satisfactory outcomes. For example, the assessment of grades involves academic writing, contributing to the degree course classification. Students have differences in many respects, such as expectations, background knowledge, and study and learning approaches. There were varying students’ beliefs about what academic writing is for evaluation. Modern-day motivations and theories highlight the significance of students’ confidence in their studies. The role of high confidence can support students to apply more effort toward setting challenging goals. Students may find it more difficult to succeed in higher education if they lack confidence in their academic writing abilities. A DSS has many applications in diverse areas and can play a significant role in the ranking and prioritization process. The current study has considered the DSS for prioritizing self-assurance in academic writing based on applied linguistics. Various criteria were considered for the evaluation of the research. The Super Decision software was used for the experimental process of the proposed research. The results of the study show the effectiveness of the proposed research. (shrink)

PurposeThis paper attempts to recognize the informational needs of women who suffer from intimate partner violence. It then presents a model of a web site that may answer to these needs.Design/methodology/approachFirst, the paper defines the phases women suffering from IPV go through. This is done by surveying the literature that describes the stages these women experience. In order to clarify the proposed model, the paper then describe our own set of phases based on the above literature. Once the phases mentioned (...) above are understood, the needs of these women become evident, thus allowing us to define and specify them. The model of the web site is then described and the paper shows how it relates to the various aforementioned needs.FindingsThe web site would offer a variety of information, such as: names of organizations that offer support, chats, and forums that provide emotional support and advice from women who experienced abuse in the past as well as from professionals.Research limitations/implicationsSecurity issues of this model need to be researched before applying it to use, as they are beyond the scope of this paper. Such issues should include techniques for erasing the user's traces and for keeping out “unwelcome visitors.”Originality/valueThis model, if applied, may greatly aid women suffering from IPV, as it would provide them with the emotional support and technical information they need in order to make important decisions regarding their situation. Information, if utilized, may give these women the ability to control their fate and actively improve their quality of life. (shrink)

In this article we present the foundations of a decision support system for blockage management in Fire Service. Blockage refers to the situation when all fire units are out and a new incident occurs. The approach is based on two phases: off-line data preparation and online blockage estimation. The off-line phase consists of methods from data mining and natural language processing and results in semantically coherent information granules. The online phase is about building the probabilistic models that estimate (...) the block-age probability based on these granules. Finally, the selected classifier judges whether a blockage can occur and whether the resources from neighbour fire stations should be asked for assistance. (shrink)

Nanomaterials are handled in global value chains for many different products, albeit not always recognisable as nanoproducts. The global market for nanomaterials faces an uncertain future, as the international dialogue on regulating nanomaterials is still ongoing and risk assessment data are being collected. At the same time, regulators and civil society organisations complain about a lack of transparency about the presence of nanomaterials on the market. In the project on Sustainable Nanotechnologies, a Decision Support System has been developed, (...) primarily for confidential use by risk and sustainability managers inside a company or consortium. In this article, we formulate a scenario concerning a potential role for an open access decision support system in negotiations on international agreements regulating trade in nanomaterials. The scenario includes design rules for decision support systems as well as procedures for use of such a system in stakeholder dialogue and policy-making on governance of these and other emerging technologies. This article incorporates analysis of results of stakeholder engagement on nanomaterials as well as literature and internet sources suggested by these stakeholders. (shrink)

Data access committees (DAC) gatekeep access to secured genomic and related health datasets yet are challenged to keep pace with the rising volume and complexity of data generation. Automated decision support (ADS) systems have been shown to support consistency, compliance, and coordination of data access review decisions. However, we lack understanding of how DAC members perceive the value add of ADS, if any, on the quality and effectiveness of their reviews. In this qualitative study, we report findings (...) from 13 semi-structured interviews with DAC members from around the world to identify relevant barriers and facilitators to implementing ADS for genomic data access management. Participants generally supported pilot studies that test ADS performance, for example in cataloging data types, verifying user credentials and tagging datasets for use terms. Concerns related to over-automation, lack of human oversight, low prioritization, and misalignment with institutional missions tempered enthusiasm for ADS among the DAC members we engaged. Tensions for change in institutional settings within which DACs operated was a powerful motivator for why DAC members considered the implementation of ADS into their access workflows, as well as perceptions of the relative advantage of ADS over the status quo. Future research is needed to build the evidence base around the comparative effectiveness and decisional outcomes of institutions that do/not use ADS into their workflows. (shrink)

This paper demonstrates how argumentation schemes can be used in decision support systems that help clinicians in making treatment decisions. The work builds on the use of computational argumentation, a rigorous approach to reasoning with complex data that places strong emphasis on being able to justify and explain the decisions that are recommended. The main contribution of the paper is to present a novel set of specialised argumentation schemes that can be used in the context of a clinical (...) decision support system to assist in reasoning about what treatments to offer. These schemes provide a mechanism for capturing clinical reasoning in such a way that it can be handled by the formal reasoning mechanisms of formal argumentation. The paper describes how the integration between argumentation schemes and formal argumentation may be carried out, sketches how this is achieved by an implementation that we have created and illustrates the overall process on a small set of case studies. (shrink)

Abstract In light of the complexity of unfolding disasters, the diversity of rapidly evolving events, the enormous amount of generated information, and the huge pool of casualties, emergency responders (ERs) may be overwhelmed and in consequence poor decisions may be made. In fact, the possibility of transporting the wounded victims to one of several hospitals and the dynamic changes in healthcare resource availability make the decision process more complex. To tackle this problem, we propose a multicriteria decision (...) class='Hi'>support service, based on the Analytic Hierarchy Process (AHP) method, that aims to avoid overcrowding and outpacing the capacity of a hospital to effectively provide the best care to victims by finding out the most appropriate hospital that meets the victims’ needs. The proposed approach searches for the most appropriate healthcare institution that can effectively deal with the victims’ needs by considering the availability of the needed resources in the hospital, the victim’s wait time to receive the healthcare, and the transfer time that represents the hospital proximity to the disaster site. The evaluation and validation results showed that the assignment of hospitals was done successfully considering the needs of each victim and without overwhelming any single hospital. (shrink)

Background Given that AI-driven decision support systems (AI-DSS) are intended to assist in medical decision making, it is essential that clinicians are willing to incorporate AI-DSS into their practice. This study takes as a case study the use of AI-driven cardiotography (CTG), a type of AI-DSS, in the context of intrapartum care. Focusing on the perspectives of obstetricians and midwives regarding the ethical and trust-related issues of incorporating AI-driven tools in their practice, this paper explores the conditions (...) that AI-driven CTG must fulfill for clinicians to feel justified in incorporating this assistive technology into their decision-making processes regarding interventions in labor. Methods This study is based on semi-structured interviews conducted online with eight obstetricians and five midwives based in England. Participants were asked about their current decision-making processes about when to intervene in labor, how AI-driven CTG might enhance or disrupt this process, and what it would take for them to trust this kind of technology. Interviews were transcribed verbatim and analyzed with thematic analysis. NVivo software was used to organize thematic codes that recurred in interviews to identify the issues that mattered most to participants. Topics and themes that were repeated across interviews were identified to form the basis of the analysis and conclusions of this paper. Results There were four major themes that emerged from our interviews with obstetricians and midwives regarding the conditions that AI-driven CTG must fulfill: (1) the importance of accurate and efficient risk assessments; (2) the capacity for personalization and individualized medicine; (3) the lack of significance regarding the type of institution that develops technology; and (4) the need for transparency in the development process. Conclusions Accuracy, efficiency, personalization abilities, transparency, and clear evidence that it can improve outcomes are conditions that clinicians deem necessary for AI-DSS to meet in order to be considered reliable and therefore worthy of being incorporated into the decision-making process. Importantly, healthcare professionals considered themselves as the epistemic authorities in the clinical context and the bearers of responsibility for delivering appropriate care. Therefore, what mattered to them was being able to evaluate the reliability of AI-DSS on their own terms, and have confidence in implementing them in their practice. (shrink)