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Large Language Models Meet User Interfaces: The Case of Provisioning Feedback
Incorporating Generative AI (GenAI) and Large Language Models (LLMs) in education can enhance teaching efficiency and enrich student learning.
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions
As systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications, understanding these black box models has become paramount.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Can We Trust AI-Generated Educational Content? Comparative Analysis of Human and AI-Generated Learning Resources
In this study, we investigated the potential for LLMs to produce learning resources in an introductory programming context, by comparing the quality of the resources generated by an LLM with those created by students as part of a learnersourcing activity.
Learnersourcing in the Age of AI: Student, Educator and Machine Partnerships for Content Creation
Engaging students in creating novel content, also referred to as learnersourcing, is increasingly recognised as an effective approach to promoting higher-order learning, deeply engaging students with course material and developing large repositories of content suitable for personalized learning.
Recommendation in Personalised Peer-Learning Environments
RiPPLE presents students with a repository of tagged multiple-choice questions and provides instant feedback in response to student answers.
Computers and Society
