Teachers and students identify usability, learning analytics, emotion detection, trustworthiness, and privacy as required technological aspects for PAs¶
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Evidence · 1 study · qualitativer3·q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
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q2 i? Participants regarded ease of use, learning analytics, emotion detection, trustworthiness, and data privacy as necessary technological aspects for effective PAs. → Sikström 2024
Evidence¶
Sikström 2024¶
Sikström, P., Valentini, C., Sivunen, A., & Kärkkäinen, T. (2024). Pedagogical Agents Communicating and Scaffolding Students' Learning : High School Teachers' and Students' Perspectives. Computers and Education, 222, Article 105140. https://doi.org/10.1016/j.compedu.2024.105140
q2 · i? · qualitative · r3
From the technological aspects theme of the thematic analysis. Teachers were "especially interested in applying learning analytics to PAs" to monitor performance and identify students needing assistance; emotion detection was named as needed to respond to students' communication.
"Above all, it is crucial that PAs are easy to use, convenient, and reliable for students and teachers."
Discussion¶
Related Claims¶
- Ethics, privacy, bias, over-reliance, accuracy, usability and cost are key challenges AI use poses for learner satisfaction and engagement — related
- Students raised four categories of concern about potential misuse of MMLA data: judgment, privacy, career impact, and academic integrity — related
- Students' willingness to accept learning analytics systems is moderately predicted by their attitudes toward data control and sharing — related
- Participants required GSR user-knowledge of learning goals, progress, learning type, emotions, and background, with privacy safeguards and informed consent — related
- Human-AI relationship concerns persist across all CAI generations while academic integrity and data privacy are emerging ethical concerns — related
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