AIED

Evaluating a Data-driven Redesign Process for Intelligent Tutoring Systems

Fri Jul 3, 11:30 AM–11:45 AM · North 210

Part of AI for Student Success and Retention

Intelligent Tutoring Systems Educational Data Mining Methods Adaptive & Personalized Learning

★ Notable speakers

Kenneth R. Koedinger ★★ — Cognitive Tutor; LearnLab/PSLC; cognitive science of learning and AIED

Vincent Aleven ★★ — Intelligent tutoring systems; CTAT authoring tools; example-tracing tutors

Conrad Borchers ★ — AI-supported self-regulated learning; intelligent tutoring systems; educational data mining; ordered network analysis

Meng Xia ★ — Human-AI interaction for learning; data visualization; adaptive education technology

Paulo F. Carvalho ★ — Cognitive science of learning, spacing and interleaving effects, AI-driven adaptive learning systems

Evaluates a data-driven process for redesigning intelligent tutoring systems, assessing whether iterative data analysis leads to measurable learning improvements.

Authors

Qianru Lyu, Conrad Borchers, Meng Xia, Karen Xiao, Paulo F. Carvalho, Kenneth R. Koedinger, Vincent Aleven