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Personalized Programming Guidance based on Deep Programming Learning Style Capturing
March 25, 2024, 4:41 a.m. | Yingfan Liu, Renyu Zhu, Ming Gao
cs.LG updates on arXiv.org arxiv.org
Abstract: With the rapid development of big data and AI technology, programming is in high demand and has become an essential skill for students. Meanwhile, researchers also focus on boosting the online judging system's guidance ability to reduce students' dropout rates. Previous studies mainly targeted at enhancing learner engagement on online platforms by providing personalized recommendations. However, two significant challenges still need to be addressed in programming: C1) how to recognize complex programming behaviors; C2) how …
abstract ai technology arxiv become big big data boosting cs.cy cs.lg data data and ai demand development dropout focus guidance personalized programming reduce researchers students studies style technology type
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