Titlebook: Intelligent Tutoring Systems; 17th International C Alexandra I. Cristea,Christos Troussas Conference proceedings 2021 Springer Nature Switz

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0302-9743 ce, in June 2021. Due to COVID-19 pandemic the conference was held virtually.. The 22 full papers, 22 short papers and 18 other papers presented in this volume were carefully reviewed and selected from 87 submissions.. Conforming to the current move of education, work and leisure online, the title o

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0302-9743 itive sciences, artificial intelligence, and, due to its recent emergence, specifically, deep learning in tutoring and education978-3-030-80420-6978-3-030-80421-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

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A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCsesign in dropout prediction, respectively. Moreover, the recent incremental improvements over existing deep learning techniques and the commonly used public data sets have been presented. Finally, the paper proposes three future research directions in the field: ..

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DiKT: Dichotomous Knowledge Tracing model generates a knowledge trajectory that instantly and accurately portrays a student’s knowledge level based on learning history. Empirical evaluations demonstrate that our proposed model achieves comparable performance on benchmark educational datasets.

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MOOC , Dropout Prediction: Weekly Assessing Time and Learning Patternso 2018. This study aims to build a generalised early predictive model for the weekly prediction of student completion using machine learning algorithms. In addition, this study is the first to use a ‘.’ as a feature, to obtain a high dropout prediction accuracy.

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/470169.jpg

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