Position Papers of the 2020 Federated Conference on Computer Science and Information Systems 2020
DOI: 10.15439/2020f138
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Learning from Student Browsing Data on E-Learning Platforms: Case Study

Abstract: Interpretation of the behaviors of students in elearning platforms with machine learning models has become an emerging need in recent years. Increase in the number of registered students on e-learning platforms is one of the reasons for choosing machine learning models. Tracking, modeling and understanding student activities gets more complex when the number of students is increased. This study is focusing modeling student activities on e-learning platforms with Complex Event Processing (CEP), Association Rule… Show more

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Cited by 4 publications
(2 citation statements)
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“…rough the school library, network center, and other departments, it is very easy to collect useful data sources, such as students' Internet browsing data [31] and book borrowing data, etc., and use intelligent recommendation algorithms to select holistic education materials that students are interested in and meet students' wishes to recommend precise and high-efficiency culture.…”
Section: Adopting Item-based Collaborative Filtering Recommendation Algorithm To Recommend Holistic Education Materials To Studentsmentioning
confidence: 99%
“…rough the school library, network center, and other departments, it is very easy to collect useful data sources, such as students' Internet browsing data [31] and book borrowing data, etc., and use intelligent recommendation algorithms to select holistic education materials that students are interested in and meet students' wishes to recommend precise and high-efficiency culture.…”
Section: Adopting Item-based Collaborative Filtering Recommendation Algorithm To Recommend Holistic Education Materials To Studentsmentioning
confidence: 99%
“…This study focuses on big data processing techniques for real-time data. There exist a number of studies utilizing complex event processing for real-time event processing in different studies (Baeth et al, 2018;Sudan et al, 2020;Yildiz et al, 2020;Aktas et al, 2020;Uzun-Per et al, 2021;Dhaouadi et al, 2018;Uzun-Per et al, 2022;Can et al, 2022;Baeth et al, 2017;Pinar et al, 2021, Yildiz et al, 2020Cansiz et al, 2020). We observe studies in different distributed system architecture research fields such as service-oriented architectures (Tufek et al, 2018;Aktas et al, 2005;AsTekin et al, 2021).…”
Section: Literature Reviewmentioning
confidence: 96%