In recent years, educational institutions have started using the tools of commercial data analytics in higher education. By gathering information about students as they navigate campus information systems, learning analytics “uses analytic techniques to help target instructional, curricular, and support resources” to examine student learning behaviors and change students’ learning environments. As a result, the information educators and educational institutions have at their disposal is no longer demarcated by course content and assessments, and old boundaries between information used for assessment (...) and information about how students live and work are blurring. Our goal in this paper is to provide a systematic discussion of the ways in which privacy and learning analytics conflict and to provide a framework for understanding those conflicts. -/- We argue that there are five crucial issues about student privacy that we must address in order to ensure that whatever the laudable goals and gains of learning analytics, they are commensurate with respecting students’ privacy and associated rights, including (but not limited to) autonomy interests. First, we argue that we must distinguish among different entities with respect to whom students have, or lack, privacy. Second, we argue that we need clear criteria for what information may justifiably be collected in the name of learning analytics. Third, we need to address whether purported consequences of learning analytics (e.g., better learning outcomes) are justified and what the distributions of those consequences are. Fourth, we argue that regardless of how robust the benefits of learning analytics turn out to be, students have important autonomy interests in how information about them is collected. Finally, we argue that it is an open question whether the goods that justify higher education are advanced by learning analytics, or whether collection of information actually runs counter to those goods. (shrink)

'Knowledge Capitalism' reveals how the emerging knowledge-based economy is redefining firms, empowering individuals and reshaping learning and work. It provides a practical tool-set for business managers to interpret and manage change.

“Big Data” and data analytics affect all of us. Data collection, analysis, and use on a large scale is an important and growing part of commerce, governance, communication, law enforcement, security, finance, medicine, and research. And the theme of this symposium, “Individual and Informational Privacy in the Age of Big Data,” is expansive; we could have long and fruitful discussions about practices, laws, and concerns in any of these domains. But a big part of the audience for this symposium is (...) students and faculty in higher education institutions (HEIs), and the subject of this paper is data analytics in our own backyards. Higher education learning analytics (LA) is something that most of us involved in this symposium are familiar with. Students have encountered LA in their courses, in their interactions with their law school or with their undergraduate institutions, instructors use systems that collect information about their students, and administrators use information to help understand and steer their institutions. More importantly, though, data analytics in higher education is something that those of us participating in the symposium can actually control. Students can put pressure on administrators, and faculty often participate in university governance. Moreover, the systems in place in HEIs are more easily comprehensible to many of us because we work with them on a day-to-day basis. Students use systems as part of their course work, in their residences, in their libraries, and elsewhere. Faculty deploy course management systems (CMS) such as Desire2Learn, Moodle, Blackboard, and Canvas to structure their courses, and administrators use information gleaned from analytics systems to make operational decisions. If we (the participants in the symposium) indeed care about Individual and Informational Privacy in the Age of Big Data, the topic of this paper is a pretty good place to hone our thinking and put into practice our ideas. (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)

Tensions in Two Dogmas of Empiricism are not resolved in Quine's later writings. The role of simplicity remains mysterious. Naturalized epistemology is wrongly presented as the only alternative to phenomenalism, and no attempt is made to answer the objection that judgements of the rationality of human activities have no place within a naturalistic philosophy. The attempt to develop an empiricism without experience leads to an implausible behaviorism and to an unsuccessful naturalistic account of observation sentences.

Higher education institutions are mining and analyzing student data to effect educational, political, and managerial outcomes. Done under the banner of “learning analytics,” this work can—and often does—surface sensitive data and information about, inter alia, a student’s demographics, academic performance, offline and online movements, physical fitness, mental wellbeing, and social network. With these data, institutions and third parties are able to describe student life, predict future behaviors, and intervene to address academic or other barriers to student success (however defined). Learning (...) analytics, consequently, raise serious issues concerning student privacy, autonomy, and the appropriate flow of student data. We argue that issues around privacy lead to valid questions about the degree to which students should trust their institution to use learning analytics data and other artifacts (algorithms, predictive scores) with their interests in mind. We argue that higher education institutions are paradigms of information fiduciaries. As such, colleges and universities have a special responsibility to their students. In this article, we use the information fiduciary concept to analyze cases when learning analytics violate an institution’s responsibility to its students. (shrink)

The four coauthors describe the twenty-five-year history of efforts of the Council of Learned Societies in Education (CLSE) to represent the interests of the social foundations of education in the National Council for Accreditation of Teacher Education (NCATE), including the evolution of CLSE into the Council for the Social Foundations of Education and its recent departure from NCATE after a quarter century of successful involvement. The coauthors, each personally supportive of foundational involvement in national accreditation, delineate advantages gained by both (...) CLSE and NCATE during the quarter century of involvement, while also describing concerns and arguments that have led to the current disassociation of the Council for Social Foundations of Education (CSFE) fromNCATE. The article concludes with suggestions for the future and the coauthors' hope that this history and chronicle will provide incentive for reinvolvement of the foundations in national accreditation circles. (shrink)

This paper examines recent developments in U.K. utility regulation from a business ethics perspective. The regulatory framework that facilitated privatisation of the utility companies has foundations based upon free market principles involving a transfer from regulation to competitive markets wherever possible. Where competition is not feasible, continuing economic regulation is relied upon, designed to mirror the competitive market to induce, through comparative competition and the price capping mechanism, incentives for greater efficiency. The New Labour Government, having fundamentally reviewed this framework (...) when it came to office, has surprisingly endorsed its basic tenets. However, it wishes to superimpose social responsibility regulations designed to achieve social policy rather than economic objectives. This interventionist approach is in itself in conflict with the free market inspired regulatory framework but additionally, the imposition of social policy objectives creates fundamental ambiguities within the framework for the key stakeholders. The paper concludes that the Government''s policy, by eliciting stakeholder confusion and perverse behaviour, could be counter-productive but that ethical theories and frameworks can contribute to thinking in this vital area of the economy. (shrink)

This paper explores the changes in cognitive function which occur as someone "loses consciousness" under anesthesia. Seven volunteers attempted a categorization task and a within-list recognition test while inhaling air, 0.2% isoflurane, and 0.4% isoflurane. In general, performance on these tests declined as the dose of anesthetic was increased and returned to baseline after 10 min of breathing air. A measure of auditory evoked responding termed "coherent frequency" showed parallel changes. At 0.2% isoflurane, subjects could still identify and respond to (...) category exemplars but showed impaired short-term memory function. Electrical stimulation at 0.4% isoflurane, intended to mimic the arousing effects of surgery, had a small, beneficial effect on performance. A mean of 63% of category exemplars was identified at this stage, but recognition memory for those exemplars was at chance on recovery. There was no evidence for learning of words presented at 0.8% isoflurane. (shrink)

The increasing adoption of automated technologies in the world of work results in starkly opposing predictions. Some scholars argue that these technologies could lead to the utopian emancipation of society from economic necessity and meaningless work (Srnicek and Williams 2015, Bastani 2019, Danaher 2019 ); other scholars warn of the unintended technological unemployment and dystopian social upheaval that these technologies threaten (Ford 2015 ; Jones 2021 ; Mueller 2021 ). In either instance, the increasing presence of Artificial Intelligence (AI) (...) and automation in the world of work is forcing us to consider conceptions of work beyond economic necessity: but the drive to remove necessity as a whole from the human condition can lead to unintendedly bleak and inhuman futures, where meaningful work might be made redundant by the very technologies intended to provide it. In response, this paper will critique conceptions of work as paid employment, while also highlighting the limits of adopting wholly technological means to remove economic necessity. I will offer an alternate understanding of work beyond paid employment, as two distinct modes of activity: _labour_ and _work_. In doing so, I will recontextualise necessity in work beyond economics, and provide a foundation for pursuing meaningful work, both now and into the future. (shrink)

Like several other classes of hormones, the class of plant hormones called auxins exert myriad effects on cell development. While auxins are most noted for inducing cell elongation, they are also involved in cell division, cell differentiation, cell and organ polarity, and wound responsiveness. Consistent with this pleiotropy, is the recent identification of several putative auxin receptors that in theory could represent the primary elements of more than one auxin signal pathway leading to distinct responses or leading in parallel to (...) a single response. Our current working hypothesis is that some auxin‐mediated responses may be mediated by multiple receptors. We describe some of what is known about each of the new putative receptors and elaborate on the hypothesis using the example of cell elongation. Specifically for auxin‐induced elongation, we propose that two rapid events, specific gene transcription and cell wall acidification, are separately mediated by at least two receptors, acting in the nucleus and at the plasma membrane, respectively. (shrink)

The essays pay particular attention to tensions associated with attempts to balance the economic with the non-economic objectives of higher education, and ...

Preparing the Next Generation of Oral Historians is an invaluable resource to educators seeking to bring history alive for students at all levels. Filled with insightful reflections on teaching oral history, it offers practical suggestions for educators seeking to create curricula, engage students, gather community support, and meet educational standards. By the close of the book, readers will be able to successfully incorporate oral history projects in their own classrooms.

Roger Jones asks what Newtonian realists should be realists about, given that there are four empirically equivalent formulations of Newtonian mechanics which have different ontological commitments and explanatory mechanisms. A realist answer is sketched: Newtonians should be realists about what the best metaphysical considerations dictate, where the best metaphysical considerations are those which have yielded the best physics. Metaphysical considerations are required within physics, just as they are required to eliminate idealist and surrealist theories which are empirically equivalent to (...) realist ones. Realists must reject the positivist assumption that empirically equivalent theories are explanatory and evidential equivalents, too. (shrink)

Roger Jones asks what Newtonian realists should be realists about, given that there are four empirically equivalent formulations of Newtonian mechanics which have different ontological commitments and explanatory mechanisms. A realist answer is sketched: Newtonians should be realists about what the best metaphysical considerations dictate, where the best metaphysical considerations are those which have yielded the best physics. Metaphysical considerations are required within physics, just as they are required to eliminate idealist and surrealist theories which are empirically equivalent to (...) realist ones. Realists must reject the positivist assumption that empirically equivalent theories are explanatory and evidential equivalents, too. (shrink)