Trustworthy Learning Analytics for Smart Learning Ecosystems
Year: 2025
Type: article
Abstract: Even though the benefits of learning analytics (LA) have been recognized in research, there are still challenges to its more widespread adoption, which could contribute to the development of smart learning ecosystems beyond 2030. Trustworthiness of LA is an aspect which could play an important role in the adoption of LA, especially in the artificial intelligence (AI) era. Different dimensions of trustworthiness of LA have been researched, but the framework is still fuzzy. We conducted a scoping literature review to provide more clarity, and in this paper, we presented an overview of theoretical considerations and dimensions of trustworthiness of LA. We grouped the identified dimensions into social and technological aspects, and pointed to horizontal dimensions related to both. These dimensions were used as the basis for a comprehensive definition of the trustworthiness of LA. Finally, we identified the challenges and open questions related to using LA to support smart learning ecosystems.
Authors: Barbi Svetec, Blaženka Divjak
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4413409189