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Ethical and privacy issues in the application of learning analytics

Published: 16 March 2015 Publication History

Abstract

The large-scale production, collection, aggregation, and processing of information from various learning platforms and online environments have led to ethical and privacy concerns regarding potential harm to individuals and society. In the past, these types of concern have impacted on areas as diverse as computer science, legal studies and surveillance studies. Within a European consortium that brings together the EU project LACE, the SURF SIG Learning Analytics, the Apereo Foundation and the EATEL SIG dataTEL, we aim to understand the issues with greater clarity, and to find ways of overcoming the issues and research challenges related to ethical and privacy aspects of learning analytics practice. This interactive workshop aims to raise awareness of major ethics and privacy issues. It will also be used to develop practical solutions to advance the application of learning analytics technologies.

References

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Greller, W., & Drachsler, H. (2012). Translating learning into numbers: a generic framework for learning analytics. Educational Technology & Society, 15 (3), 42--57.
[2]
Prinsloo, P, & Slade, Sharon. (2013, 8--12 April). An evaluation of policy frameworks for addressing ethical considerations in learning analytics. Paper presented LAK13, Leuven, Belgium.
[3]
Slade, Sharon, & Prinsloo, Paul. (2013). Learning analytics: ethical issues and dilemmas. American Behavioral Scientist, 57 (10), pp. 1510--1529
[4]
Pardo, A., & Siemens, G. (2014). Ethical and privacy principles for learning analytics. British Journal of Educational Technology, 45(3), 438--450.
[5]
Ferguson, R., De Liddo, A., Whitelock, D., de Laat, M., & Buckingham Shum, S. (2014). DCLA14: Second International Workshop on Discourse-Centric Learning Analytics. (pp. 283--284). In Proceedings of the LAK14, New York, USA: ACM Press.
[6]
Drachsler, H., Stoyanov, S., & Specht, M. (2014). The impact of learning analytics on the Dutch education system (pp. 158--162). In Proceedings of the LAK14, New York, USA: ACM Press.
[7]
Arnold, K. E., Lynch, G., & Huston, D. (2014). Building Institutional Capacities and Competencies for Systemic Learning Analytics Initiatives, (pp. 257--260). In Proceedings of the LAK14, New York, USA: ACM Press.
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Swenson, J. (2014). Establishing an ethical literacy for learning analytics, (pp. 246--250). In Proceedings of LAK14, New York, USA: ACM Press.
[9]
Aguilar, S. (2014). Perceptions and Use of an Early Warning System During a Higher Education Transition Program, (pp. 113--117). In Proceedings of LAK14, New York, USA: ACM Press.
[10]
Piety, P. J., Hickey, D. T., & Bishop, M. J. (2014). Educational Data Sciences -- Framing Emergent Practices for Analytics of Learning, Organizations, and Systems, (pp. 193--202). In Proceedings of LAK14, New York, USA: ACM Press.

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  • (2024)Real-Time Emotion Recognition for Improving the Teaching–Learning Process: A Scoping ReviewJournal of Imaging10.3390/jimaging1012031310:12(313)Online publication date: 9-Dec-2024
  • (2024)Supporting students’ basic psychological needs and satisfaction in a blended learning environment through learning analyticsComputers & Education10.1016/j.compedu.2023.104949209:COnline publication date: 1-Feb-2024
  • (2023)Towards an Ethics Framework for Learning AnalyticsInvestigating the Impact of AI on Ethics and Spirituality10.4018/978-1-6684-9196-6.ch008(107-136)Online publication date: 30-Jun-2023
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Information & Contributors

Information

Published In

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LAK '15: Proceedings of the Fifth International Conference on Learning Analytics And Knowledge
March 2015
448 pages
ISBN:9781450334174
DOI:10.1145/2723576
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 March 2015

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Author Tags

  1. data ownership
  2. ethics
  3. learning analytics
  4. legal rights
  5. privacy
  6. surveillance

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  • Tutorial

Funding Sources

  • European Commission Seventh Framework Programme

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LAK '15

Acceptance Rates

LAK '15 Paper Acceptance Rate 20 of 74 submissions, 27%;
Overall Acceptance Rate 236 of 782 submissions, 30%

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Cited By

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  • (2024)Real-Time Emotion Recognition for Improving the Teaching–Learning Process: A Scoping ReviewJournal of Imaging10.3390/jimaging1012031310:12(313)Online publication date: 9-Dec-2024
  • (2024)Supporting students’ basic psychological needs and satisfaction in a blended learning environment through learning analyticsComputers & Education10.1016/j.compedu.2023.104949209:COnline publication date: 1-Feb-2024
  • (2023)Towards an Ethics Framework for Learning AnalyticsInvestigating the Impact of AI on Ethics and Spirituality10.4018/978-1-6684-9196-6.ch008(107-136)Online publication date: 30-Jun-2023
  • (2023)A Critical Consideration of the Ethical Implications in Learning Analytics as Data EcologyResponsive and Sustainable Educational Futures10.1007/978-3-031-42682-7_25(371-382)Online publication date: 28-Aug-2023
  • (2023)Leveraging Disruptive Technologies and Systems Thinking Approach at Higher Education InstitutionsThe Sustainable University of the Future10.1007/978-3-031-20186-8_2(25-42)Online publication date: 18-Jan-2023
  • (2022)Digitale Ethik aus Studierendensicht – Ethische Treiber und Barrieren zur Nutzung eines Digitalen StudienassistentenDigital Ethics from Students’ Perspective—Ethical Drivers and Barriers for the Usage of a Digital Study AssistantHMD Praxis der Wirtschaftsinformatik10.1365/s40702-022-00853-059:2(605-618)Online publication date: 9-Mar-2022
  • (2022)Learning in the PanopticonProceedings of the 34th Australian Conference on Human-Computer Interaction10.1145/3572921.3572937(9-21)Online publication date: 29-Nov-2022
  • (2021)Ethics in Predictive Learning AnalyticsAdvancing the Power of Learning Analytics and Big Data in Education10.4018/978-1-7998-7103-3.ch004(86-107)Online publication date: 2021
  • (2021)Student privacy issues in online learning environmentsDistance Education10.1080/01587919.2020.1869527(1-15)Online publication date: 26-Jan-2021
  • (2021)Advancing the Design and Implementation of Artificial Intelligence in Education through Continuous ImprovementInternational Journal of Artificial Intelligence in Education10.1007/s40593-021-00278-832:3(756-782)Online publication date: 1-Oct-2021
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