The field of human-AI collaboration and education is rapidly evolving, with a focus on developing effective frameworks for integrating AI into educational settings. Researchers are exploring the potential of AI to support personalized learning, improve student outcomes, and enhance teacher training. Notably, there is a growing emphasis on the need for nuanced and contextualized approaches to AI adoption, taking into account factors such as cultural relevance, language proficiency, and accessibility. Studies have shown that AI can be a valuable tool for supporting student learning, but also highlight the importance of critically evaluating AI-generated recommendations and avoiding overreliance on these technologies. Further research is needed to fully realize the potential of AI in education and to address the complex challenges associated with its adoption. Some particularly noteworthy papers in this area include: The Memory Paradox, which explores the impact of heavy reliance on AI systems on human cognition and memory. Conversational AI as a Catalyst for Informal Learning, which presents a large-scale study on the use of large language models in everyday learning. Enter: Graduated Realism, which proposes a pedagogical framework for AI-powered avatars in virtual reality teacher training.
Advances in Human-AI Collaboration and Education
Sources
Research and Analysis of Employers' Opinion on the Necessary Skills that Students in the Field of Web Programming Should Possess
On the development of an AI performance and behavioural measures for teaching and classroom management
Combining Log Data and Collaborative Dialogue Features to Predict Project Quality in Middle School AI Education
Conversational AI as a Catalyst for Informal Learning: An Empirical Large-Scale Study on LLM Use in Everyday Learning
Enter: Graduated Realism: A Pedagogical Framework for AI-Powered Avatars in Virtual Reality Teacher Training
The Teacher's Dilemma: Balancing Trade-Offs in Programming Education for Emergent Bilingual Students
Between Regulation and Accessibility: How Chinese University Students Navigate Global and Domestic Generative AI