Designing human-centered learning analytics and artificial intelligence in education solutions: a systematic literature review

Topali P., Ortega-Arranz A., Rodriguez-Triana M. J., ER E., Khalil M., AKÇAPINAR G.

BEHAVIOUR & INFORMATION TECHNOLOGY, 2024 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1080/0144929x.2024.2345295
  • Dergi Adı: BEHAVIOUR & INFORMATION TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, FRANCIS, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, CINAHL, Communication & Mass Media Index, Communication Abstracts, Compendex, Computer & Applied Sciences, Educational research abstracts (ERA), INSPEC, Library and Information Science Abstracts, Library, Information Science & Technology Abstracts (LISTA), Metadex, Psycinfo, Civil Engineering Abstracts
  • Hacettepe Üniversitesi Adresli: Evet

Özet

The recent advances in educational technology enabled the development of solutions that collect and analyse data from learning scenarios to inform the decision-making processes. Research fields like Learning Analytics (LA) and Artificial Intelligence (AI) aim at supporting teaching and learning by using such solutions. However, their adoption in authentic settings is still limited, among other reasons, derived from ignoring the stakeholders' needs, a lack of pedagogical contextualisation, and a low trust in new technologies. Thus, the research fields of Human-Centered LA (HCLA) and Human-Centered AI (HCAI) recently emerged, aiming to understand the active involvement of stakeholders in the creation of such proposals. This paper presents a systematic literature review of 47 empirical research studies on the topic. The results show that more than two-thirds of the papers involve stakeholders in the design of the solutions, while fewer papers involved them during the ideation and prototyping, and the majority do not report any evaluation. Interestingly, while multiple techniques were used to collect data (mainly interviews, focus groups and workshops), few papers explicitly mentioned the adoption of existing HC design guidelines. Further evidence is needed to show the real impact of HCLA/HCAI approaches (e.g., in terms of user satisfaction and adoption).