5 papers
Who Decides in AI-Mediated Learning? The Agency Allocation Framework
Conrad Borchers, Olga Viberg, René F. Kizilcec
As AI-mediated learning systems increasingly shape how learners plan, make decisions, and progress through education, learner agency is becoming both more consequential and harder…
Teachers' Perceived Benefits and Risks of AI Across Fifty-Five Countries: An Audit of LLM Alignment and Steerability
Yan Tao, Olga Viberg, Deepak Varuvel Dennison +2
Teachers' trust in artificial intelligence (AI) in education depends on how they balance its perceived benefits and risks. Yet global discussions about scaling AI in education rely…
ProPACT: A Proactive AI-Driven Adaptive Collaborative Tutor for Pair Programming
Anahita Golrang, Kshitij Sharma, olga viberg
Effective pair programming depends on coordination of attention, cognitive effort, and joint regulation over time, yet most adaptive learning systems remain individual-centric and…
From Intention to Text: AI-Supported Goal Setting in Academic Writing
Yueling Fan, Richard Lee Davis, Olga Viberg
This study presents WriteFlow, an AI voice-based writing assistant designed to support reflective academic writing through goal-oriented interaction. Academic writing involves iter…
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…