1 citations · 2 across the 12 of their papers we have counts for
13 papers
What do you mean by human-AI collaboration: Prerequisite functions and the affordances needed to achieve it
Mutlu Cukurova
The concept of 'collaboration' has been extended rapidly to describe what people now do with conversational agents, intelligent tutors, adaptive platforms, and generative artificia…
Large-scale semantic mapping of learner agency and autonomy reveals what measurement and generative AI research overlook
Fei Qin, Xiaobo Liu, Yaowen Zhang +5
Learner agency and autonomy are foundational to personal development, yet a pervasive "jingle-jangle" fallacy (i.e. identical terms denoting different constructs, distinct terms de…
Neural-Symbolic Knowledge Tracing: Injecting Educational Knowledge into Deep Learning for Responsible Learner Modelling
Danial Hooshyar, Gustav Šír, Yeongwook Yang +6
The growing use of artificial intelligence (AI) in education, particularly large language models (LLMs), has increased interest in intelligent tutoring systems. However, LLMs often…
Gaze to Insight: A Scalable AI Approach for Detecting Gaze Behaviours in Face-to-Face Collaborative Learning
Junyuan Liang, Qi Zhou, Sahan Bulathwela +1
Previous studies have illustrated the potential of analysing gaze behaviours in collaborative learning to provide educationally meaningful information for students to reflect on th…
Dialogue Act Patterns in GenAI-Mediated L2 Oral Practice: A Sequential Analysis of Learner-Chatbot Interactions
Liqun He, Shijun, Chen +2
While generative AI (GenAI) voice chatbots offer scalable opportunities for second language (L2) oral practice, the interactional processes related to learners' gains remain undere…
The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable?
Jennifer Meyer, Olaf Köller, Thorben Jansen +33
With digital learning environments becoming more prevalent, the ease with which generative AI enables the scalable production of real-time, automated feedback holds the potential t…
Protecting and Promoting Human Agency in Education in the Age of Artificial Intelligence
Olga Viberg, Mutlu Cukurova, Rene F. Kizilcec +12
Human agency is crucial in education and increasingly challenged by the use of generative AI. This meeting report synthesizes interdisciplinary insights and conceptualizes four asp…
What Students Ask, How a Generative AI Assistant Responds: Exploring Higher Education Students' Dialogues on Learning Analytics Feedback
Yildiz Uzun, Andrea Gauthier, Mutlu Cukurova
Learning analytics dashboards (LADs) aim to support students' regulation of learning by translating complex data into feedback. Yet students, especially those with lower self-regul…
Examining Student Interactions with a Pedagogical AI-Assistant for Essay Writing and their Impact on Students Writing Quality
Wicaksono Febriantoro, Qi Zhou, Wannapon Suraworachet +4
The dynamic nature of interactions between students and GenAI, as well as their relationship to writing quality, remains underexplored. While most research has examined how general…
Scaffolding Reshapes Dialogic Engagement in Collaborative Problem Solving: Comparative Analysis of Two Approaches
Kester Wong, Feng Shihui, Sahan Bulathwela +1
Supporting learners during Collaborative Problem Solving (CPS) is a necessity. Existing studies have compared scaffolds with maximal and minimal instructional support by studying t…
Towards Synergistic Teacher-AI Interactions with Generative Artificial Intelligence
Mutlu Cukurova, Wannapon Suraworachet, Qi Zhou +1
Generative artificial intelligence (GenAI) is increasingly used in education, posing significant challenges for teachers adapting to these changes. GenAI offers unprecedented oppor…
Exploring Human-AI Complementarity in CPS Diagnosis Using Unimodal and Multimodal BERT Models
Kester Wong, Sahan Bulathwela, Mutlu Cukurova
Detecting collaborative problem solving (CPS) indicators from dialogue using machine learning techniques is a significant challenge for the field of AI in Education. Recent studies…
Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models
K. Wong, B. Wu, S. Bulathwela +1
Detecting collaborative and problem-solving behaviours from digital traces to interpret students' collaborative problem solving (CPS) competency is a long-term goal in the Artifici…