Ethical and privacy principles for learning analytics

By Abelardo Pardo, George Siemens. British Journal of Educational Technology, 2014

513 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/649ba38b9524f91b731e72ddde10075a45f21993

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Citations in the corpus

Learning Analytics Methods, Benefits, and Challenges in Higher Education: A Systematic Literature Review. (2016, background): “According to Pea (2014), personalized learning and learning opportunities demonstrate an inability to leverage learning analytics optimally; therefore, “the endgame is personalized Cyberlearning at scale for everyone on the planet for any knowledge domain” (p.”
Teachers' trust in AI-powered educational technology and a professional development program to improve it (2022, background): “Well-established theories such as the theory of academic resistance (Rienties, 2014), the resistance to organizational change theory (Piderit, 2000), and the technology acceptance model (TAM) (Davis, 1989) treat the issue of practitioners' perceptions and attitudes towards using technology and…”
Practical and ethical challenges of large language models in education: A systematic scoping review (2023, background): “Whereas, ethicality has already been thoroughly investigated and addressed in a closed ﬁeld to AI in education, namely, the ﬁeld of learning analytics (Pardo and Siemens, 2014; Selwyn, 2019).”
Challenges and Future Directions of Big Data and Artificial Intelligence in Education (2020, background): “(3) A suitable legislative framework is needed to protect personal data from unscrupulous collection, unauthorized disclosure, commercial exploitation, and other abuses (Boyd and Crawford, 2012; Pardo and Siemens, 2014).”
Ethical principles for artificial intelligence in education (2022, unknown): “This digital revolution in education, particularly the use of AI and learning analytics in the field of education, entails a massive amount of personal data generated, cap - tured, and analyzed to optimize learning experiences (Tzimas & Demetriadis, 2021; Pardo & Siemens, 2014).”
Educational data mining and learning analytics: An updated survey (2020, methodology): “In this line, we can have into consideration use guidelines about ethical issues, data privacy, informed consent, etc. when using educational data (Pardo and Siemens, 2014).”
Privacy and analytics: it's a DELICATE issue a checklist for trusted learning analytics (2016, background): “, [8][9][10][11][12]), and, even fewer policies or guidelines regarding privacy, legal protection or ethical implications [14][15] were developed and publicised.”