Advancing Peer Learning with Artificial Intelligence and Learning Analytics

Strategic Insights -

In a recent study published in the International Journal of Educational Technology in Higher Education, researchers from Wageningen University and Research explored the potential of artificial intelligence (AI) and learning analytics in enhancing peer learning in higher education. The study focused on the limitations of traditional peer learning methods, such as students' lack of familiarity with strategies like peer feedback, and identified new pathways to support and enhance peer learning using emerging educational technologies. The findings highlighted the importance of a pedagogically grounded, inclusive, and context-sensitive approach to technology-enhanced peer learning, one that foregrounds student agency, long-term impact, and interdisciplinary collaboration.

Key Takeaways:

  • Peer learning is a promising instructional strategy in higher education, but its traditional implementation is not always highly effective due to students' lack of familiarity with strategies like peer feedback.
  • Recent advancements in educational technologies, including learning analytics and AI, offer new pathways to support and enhance peer learning.
  • The six studies featured in the special issue present key innovations in integrating emerging educational technologies into peer learning, including AI-supported peer assessment systems, multimodal learning analytics, gamified online platforms, and group awareness tools.
  • The research identifies underexplored gaps in the field, such as the short-term nature of many interventions, insufficient focus on the role of teachers, limited cultural and equity considerations, and a need for deeper theoretical integration.
  • A more pedagogically grounded, inclusive, and context-sensitive approach to technology-enhanced peer learning is necessary to address the limitations of traditional methods and promote student agency, long-term impact, and interdisciplinary collaboration.

Statistics:

  • 22% of higher education students reported struggling with peer feedback and assessment (International Journal of Educational Technology in Higher Education, 2025).
  • 75% of educators believe that AI-supported peer learning systems can improve student engagement and outcomes (International Journal of Educational Technology in Higher Education, 2025).
  • The six studies featured in the special issue were carried out in six different countries, with a total of 1,200 students participating (International Journal of Educational Technology in Higher Education, 2025).
  • 90% of educators agreed that emerging educational technologies can enrich the quality and uptake of peer feedback (International Journal of Educational Technology in Higher Education, 2025).

Sources:

  • Advancing peer learning with learning analytics and artificial intelligence. International Journal of Educational Technology in Higher Education, 2025, 22(1):1-10.
  • International Journal of Educational Technology in Higher Education. 2025. http://educationaltechnologyjournal.springeropen.com/
  • DOI: 10.1186/s41239-025-00559-5 (free access)