Performance comparison of an AI-based Adaptive Learning System in China
This addresses the problem of improving learning efficiency and engagement for middle school students, but it is incremental as it compares existing adaptive systems.
The paper evaluated the Yixue Squirrel AI adaptive learning system for English and math in middle school, finding that students performed better with it compared to traditional classroom instruction by expert teachers and another adaptive learning platform.
Adaptive learning systems stand apart from traditional learning systems by offering a personalized learning experience to students according to their different knowledge states. Adaptive systems collect and analyse students' behavior data, update learner profiles, then accordingly provide timely individualized feedback to each student. Such interactions between the learning system and students can improve the engagement of students and the efficiency of learning. This paper evaluates the effectiveness of an adaptive learning system, "Yixue Squirrel AI" (or Yixue), on English and math learning in middle school. The effectiveness of the Yixue's math and English learning systems is respectively compared against (1) traditional classroom math instruction conducted by expert human teachers and (2) BOXFiSH, another adaptive learning platform for English language learning. Results suggest that students achieved better performance using Yixue adaptive learning system than both traditional classroom instruction by expert teachers and another adaptive learning platform.