5 papers · 1 filter
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…
Million Tutoring Moves (MTM): An Open Multimodal Dataset for the Science of Tutoring
René Kizilcec, Kirk Vanacore, Zhuqian Zhou +8
We introduce the Million Tutoring Moves (MTM) project, an open dataset initiative aimed at advancing the science of tutoring through large-scale, reusable, and multimodal interacti…
Modernizing Ground Truth: Four Shifts Toward Improving Reliability and Validity in AI in Education
Danielle R. Thomas, Conrad Borchers, Kirk P. Vanacore +2
Generative Artificial Intelligence (GenAI) is now widespread in education, yet the efficacy of GenAI systems remains constrained by the quality and interpretation of the labeled da…
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…