most citedEvaluating the Impact of Data Augmentation on Predictive Model Performance

8 citations · 12 across the 11 of their papers we have counts for

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cs.CY2026

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…

cs.CY2026

The Digital Divide in Generative AI: Evidence from Large Language Model Use in College Admissions Essays

Jinsook Lee, Conrad Borchers, AJ Alvero +2

Large language models (LLMs) have become popular writing tools among students and may expand access to high-quality feedback for students with less access to traditional writing su…

cs.CY2026★ 1 cited

Fifteen Years of Learning Analytics Research: Topics, Trends, and Challenges

Valdemar Švábenský, Conrad Borchers, Elvin Fortuna +2

The learning analytics (LA) community has recently reached two important milestones: celebrating the 15th LAK conference and updating the 2011 definition of LA to reflect the 15 ye…

cs.CY2026

Measuring the Impact of Student Gaming Behaviors on Learner Modeling

Qinyi Liu, Lin Li, Valdemar Švábenský +2

The expansion of large-scale online education platforms has made vast amounts of student interaction data available for knowledge tracing (KT). KT models estimate students' concept…

cs.CY2024★ 3 cited

Does the Doer Effect Exist Beyond WEIRD Populations? Toward Analytics in Radio and Phone-Based Learning

Darren Butler, Conrad Borchers, Michael W. Asher +7

The Doer Effect states that completing more active learning activities, like practice questions, is more strongly related to positive learning outcomes than passive learning activi…