The LDA user interest model is used to judge the user's preference for topics, obtain the user's interest in online education courses, and complete the recommendation of online education courses based on this. Finally, the proposed method is evaluated using online learning website data. The ...
(2024). Exploring the configurations of learner satisfaction with MOOCs designed for computer science courses based on integrated LDA-QCA method. Education and Information Technologies, 29(8), 9883–9905. https://doi.org/10.1007/s10639-023-12185-7 Article Google Scholar Geng, S., Niu, B., ...
Abstract: In recent years, artificial intelligence (AI) has become an integral part of online education, improving ITS, online courses, and learning management systems (LMS). Online education is predicting students knowledge acquisition based on clickstream data. The lack of focus on student interacti...
What is Machine Learning , Linear Regression Theory , Multiple Linear Regression , Decision Tree , Naive Bayes classifiers, Support Vector Machines , Association Rule, Neural Networks , Random Forest, Recommendation Engine Topic 2 : Python Programming –What is Python History of Technology , Evolution...
E-learning course recommendation based on sentiment analysis using hybrid Elman similarity. Knowl.-Based Syst. 2023, 259, 110086. [Google Scholar] Tan, L.; Tan, O.K.; Sze, C.C.; Goh, W.W.B. Emotional Variance Analysis: A new sentiment analysis feature set for Artificial Intelligence ...
Second, neglecting to address global information spread beyond OSN edges (links) via non-neighbors through, for example, information pushed via content recommendation algorithms; Third, neglecting to address the spread of non-viral information with low reach size. To address these gaps from previous ...
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In certain embodiments, use of the present invention can inform a health care practitioner how to better advise a prostate cancer patient on whether or not to undergo more aggressive forms of therapy or whether watchful waiting would be an appropriate recommendation. Accordingly, the present ...
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Originality/value The topic-sentiment analysis model can clarify the hierarchical dependencies between different topics, which lay the foundation for improving the accuracy of teaching content recommendation and optimizing the knowledge coherence of related courses.doi:10.2478/jdis-2020-0009Kai WangYu Zhang...