2026· International Conference on Design Science Research in Information Systems and Technology· pp. 191-208· 0 citations· 65 references
Computer Science
TL;DR
Effectiveness analysis reveals that delivery order predicted learning behavior, positioning orchestration as a key design concern for AI-assisted educational systems.
The principal contribution is not the intro-duction of new standalone AI models, but the specification of how established AI capabilities can be combined within a transparent, pedagogically informed, and human-governed educational decision process.
Vishaliney Pirathap, S. Arunprakash, M. S. S. Mayadunna· International Journal of Lat...· 0 citations
AgentForge is presented, an immersive learning system in which novices take on one of four software-engineering roles: Task Planner, Patch Author, Code Reviewer, or Test Runner, within a multi-agent code-repair workflow, which clarifies role-specific responsibilities, makes agent coordination and intermediate artifacts...
Autonomous artificial intelligence (AI) agents can now log into a learning management system, read course materials, and complete unproctored, asynchronous assessed work end-to-end with no student involvement. We document that capability and trace its consequences for assessment validity. Three demonstrations on a live...
Stavros P. Hadjisolomou, R. El-Haddad· Intersection: A Journal at t...· 0 citations
This study designs a multi-agent personalized learning support system with mastery learning theory as its instructional framework, and develops a learning-evidence model, a multi-agent collaboration architecture, personalized learning packages, and a staged evaluation framework.
Chenwei Liu, Li Xiao· Journal of Contemporary Educ...· 0 citations
This article explores how continual learning systems can support human-AI collaboration by functioning as intelligent instructional partners rather than replacements for educators and proposes a foundation for sustainable, transparent and relevant AI-enhanced learning ecosystems.
Ghazal Barari, Alyssa Ann DeNaro Dewees, Nicki Barari· International Conference on...· 0 citations
A dual pedagogical approach is proposed in which AI is integrated into assessment as a tool that supports learning while preserving meaningful evaluation of learning outcomes, demonstrating that AI-supported assessment can be implemented without introducing additional privacy risks in higher education contexts.
Jarkko Hurme, Lassi Korhonen, Henry Lähteenmäki et al.· Technology, Knowledge and Le...· 0 citations
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