Abstract:STEM education is a hot issue in modern education, and it is important to study whether middle school students enter STEM careers in the future in the early stage of career planning. In this paper, we collected students’ behavioral data through the online tutoring platform ASSISTments, divided the raw log data into five types: single-valued, binary-valued, multi-valued, continuous-valued and cumulative, and aggregated them using different data reconstruction methods. Then, a width & depth prediction model … Show more
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