The field of AI-enhanced education and learning is rapidly evolving, with a growing focus on developing innovative solutions to improve student outcomes and enhance the learning experience. Recent research has explored the potential of AI-powered tools to support personalized learning, intelligent tutoring, and adaptive assessment. Notably, the development of custom GPTs for specific educational contexts has shown promise in promoting more reflective and responsible learning with AI. Furthermore, the integration of AI-enhanced learning environments has been found to foster critical AI literacy, improve student engagement, and support more effective learning outcomes. However, concerns regarding overreliance on AI tools and the need for balanced approaches that combine human and AI potentials have also been highlighted. Overall, the field is moving towards a more nuanced understanding of the role of AI in education, recognizing both its potential benefits and limitations. Noteworthy papers include the development of ADVENTURE, an ontology-based adaptive learning support system, and the introduction of BOOP, a structured framework for novice programmers. These contributions demonstrate the innovative and advancing nature of the field, with a focus on creating more effective and sustainable AI-enhanced learning solutions.
Advances in AI-Enhanced Education and Learning
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Development and Evaluation of Adaptive LearningSupport System Based on Ontology of MultipleProgramming Languages
Automated but Atrophied? Student Over-Reliance vs Expert Augmentation of AI in Learning and Cybersecurity
Empowering Educators in the Age of AI: An Empirical Study on Creating custom GPTs in Qualitative Research Method education
Metaverse Support Groups for LGBTQ+ Youth: An Observational Study on Safety, Self-Expression, and Early Intervention
SoK: A Systematic Review of Context- and Behavior-Aware Adaptive Authentication in Mobile Environments
AI Literacy as a Key Driver of User Experience in AI-Powered Assessment: Insights from Socratic Mind
Designing for Self-Regulation in Informal Programming Learning: Insights from a Storytelling-Centric Approach