Perspectives on EdTech Ethics: What is the Problem with Recommendations?
Notice bibliographique
Résumé
Ethics is a word that covers a wide semantic range, being present in both common conversation, professional discourse and the discipline of Moral Philosophy(Singer, 2024). Despite a longstanding tradition in educational philosophy, Its application in the field of educational technologies can be problematic(Brown et al., 2020; Green, 2021; Kerr et al., 2020). Comprising five institutions and twelve researchers, our working group engaged in diverse research and educational practices concerning technology. We deemed it essential to find a common ground and vision of what we considered problematic since the project’s inception: the ethics of educational technology, and its “teachability”. We were also concerned about the educational futures we are building by adopting the terms ethics and its meanings' plethora. Our starting step was hence a pragmatic exploration of problems arising with the application of classical ethics: deontology, or the ethics of universal principles; consequentialism or the ethics of impact; and virtue ethics, or the ethics of individual commitment. We applied transnational and interdisciplinary lenses, by collecting the four national perspectives; brainstorming about each participants’ “wiring” to each perspective, collecting 121 ideas. Through a collective session, eight of us engaged in a common interpretation and re-categorisation of the key ideas collected, re-arranging them into three main topics: Problems (18 ideas); Methods to approach problems (15 ideas) and future desiderable scenarios (17 ideas). The dynamic culminated in a final synthesis, achieving a semantic map based on 6 connected problems: Planetary ruins, Power, Global inequality, collocating Techno-solutionism as a response with social and individual implications (Technology Addiction and Dependency, Bias and Discrimination, and Cultural Impoverishment). In the face of the technological solutions’ impact, Ethical solutionism and the Individualisation of responsibility are limited (and even deleterous) further responses. We subsequently delineated 6 terms as methods to reconsider ethics (Ethics as critical inquiry, Mediation, Technological Co-tedignDesign, Contextualisation, Ethics as practise of care, Future Imagination); and 4 Future Scenarios we’d like to build (Cultural and socio-technological diversity; Collective Technological Sovereignty and Agency; Planetary Care; “Good” Pedagogical Technologies). Our mapping of ethics aims at interrogating the limited actionability of “ethical recommendations” and the implications of ethics’ “checklisting”. References Brown, D. B., Roberts, D. V., Jacobsen, D. M., Hurrell, C., Kerr, K., Streun, H. van, Neutzling, N. J., Lowry, J., Zarkovic, S., Ansorger, J., Marles, T., Lockyer, E., & Parthenis, D. (2020). Ethical Use of Technology in Digital Learning Environments: Graduate Student Perspectives. University of Calgary. https://doi.org/10.11575/ant1-kb38 Green, B. (2021). The Contestation of Tech Ethics: A Sociotechnical Approach to Ethics and Technology in Action. http://arxiv.org/abs/2106.01784 Kerr, A., Barry, M., & Kelleher, J. D. (2020). Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance. Big Data & Society, 7(1), 205395172091593. https://doi.org/10.1177/2053951720915939 Singer, P. (2024, December 18). ethics. Encyclopedia Britannica. https://www.britannica.com/topic/ethics-philosophy
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».