RESEARCH
Advancing Intelligent Textbooks with Automatically Generated Practice: A Large-Scale Analysis of Student Data
Using artificial intelligence as a tool to expand effective learning methods to more students is a valuable application of technological advancements. However, the continual evaluation and improvement of these learning tools is critical. The analysis of AG questions in this paper contributes to the largest known study on AG questions using student data and helps to set performance benchmarks for AG formative questions.
This summary provides an overview of the peer-reviewed paper "Advancing intelligent textbooks with automatically generated practice: A large-scale analysis of student data" written by Rachel Van Campenhout. Bill Jerome, Benny G. Johnson, Michelle Clark, and Jeffrey S. Dittel – VitalSource's own Learning Science team, and was presented at the 24th International Conference on Artificial Intelligence in Education.
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