Marius Wehner und Lynn Schmodde von der Wirtschaftswissenschaftlichen Fakultät der Heinrich-Heine-Universität Düsseldorf berichten von ihrer Forschung zu Learning Analytics. Im Verbundprojekt LADi haben sie Diskriminierungspotenziale und Bias in den Algorithmen untersucht sowie die Wahrnehmung der Lernenden von Beurteilungen durch Learning Analytics. Interviewer in Folge 11 des DINItus Podcasts ist Erik Reidt vom ZIM/Multimediazentrum der HHU Düsseldorf.
A new report by Jisc has been compiled to help universities, colleges and research institutes think about the ethics of artificial intelligence (AI), and to combat “unfairness” or “unexpected effects” for students and staff in education and research.
To add your name to this letter, please email gigeconomyresearchersunited [at] gmail [dot] com with your name, title, and affiliation. We are a group of scholars from different disciplines who study…
Hendrik Drachsler is Professor of Educational Technologies and Learning Analytics, Goethe University Frankfurt am Main & Leibniz Research Institute, Germany and Open Universiteit, Netherlands
This video describes a European research project - SHEILA (Supporting Higher Eduction to Integrate Learning Analytics). The content includes the goal, objectives, methodology, key findings, outputs, and recommendations.
Trusted Learning Analytics beruhen auf vertrauensvollen Beziehungen zwischen Anwendern und Nutzern
FRAGEN AN (II/II) Hendrik Drachsler, Professor an der Goethe-Universität Frankfurt und Leiter des Arbeitsbereichs „Educational Technologies“ am DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation, der sich nicht nur mit Bildungstechnologien auseinandersetzt, sondern auch daran arbeitet Learning Analytics an deutsche Hochschulen zu bringen.
Are you already involved in learning analytics or want to find out how the new big data era can support your teaching or research activities? Maybe you are ...
This review outlines the key ethical issues with which visual researchers need to engage, drawing on literature from established visual researchers as well as practical illustrations from current research projects being undertaken within the National Centre for Research Methods (NCRM). Its focus is on the ethical issues associated with research using photographs, film and video images (created by researchers, respondents or others) rather than other visual methods. It is intended as an introduction to assist researchers in identifying what ethical issues might arise in undertaking visual research and how these might be addressed. The review commences with an outline of research ethics frameworks, professional guidance, regulation and legal rights and duties which, to varying degrees, shape visual researchers’ ethical decision making. It then goes on to explore the core ethical issues of consent, confidentiality and anonymity and discusses the ethical considerations that these raise with examples of how these can be managed. The paper concludes with a brief discussion of the ethical issues raised in relation to the construction and consumption of images. The authors stress the importance of researchers engaging with theories (or approaches) to research ethics in their ethical decision making in order to protect the reputation and integrity of visual research.
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