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Massive open online courses (MOOC) have become important in the learning journey of college students and have been extensively implemented in higher education. However, there are few studies that investigated the willingness to continue…

Computers and Society · Computer Science 2024-11-27 D. Shang , Q. Chen , X. Guo , H. Jin , S. Ke , M. Li

With the development of MOOCs massive open online courses, increasingly more subjects can be studied online. Researchers currently show growing interest in the field of MOOCs, including dropout prediction, cheating detection and achievement…

Information Retrieval · Computer Science 2019-08-06 Shaojie Qu , Kan Li , Zheyi Fan , Sisi Wu , Xinyi Liu , Zhiguo Huang

Since its introduction in 2011, there have been over 4000 MOOCs on various subjects on the Web, serving over 35 million learners. MOOCs have shown the ability to democratize knowledge dissemination and bring the best education in the world…

Computers and Society · Computer Science 2021-01-13 Shang-Wen Li

Massive Open Online Courses (MOOCs) offer a new scalable paradigm for e-learning by providing students with global exposure and opportunities for connecting and interacting with millions of people all around the world. Very often, students…

Social and Information Networks · Computer Science 2014-07-29 Tanmay Sinha

Massive Open Online Courses (MOOCs) are the road that led to a revolution and a new era of learning environments. Educational institutions have come under pressure to adopt new models that assure openness in their education distribution.…

Computers and Society · Computer Science 2016-06-21 Mohammad Khalil , Martin Ebner

Massive Open Online Courses (MOOCs) continue to see increasing enrolment, but only a small percent of enrolees completes the MOOCs. Whilst a lot of research has focused on predicting completion, there is little research analysing the…

Computers and Society · Computer Science 2020-08-12 Lei Shi , Alexandra I. Cristea , Armando M. Toda , Wilk Oliveira

Massive Open Online Courses (MOOCs) exhibit a remarkable heterogeneity of students. The advent of complex "big data" from MOOC platforms is a challenging yet rewarding opportunity to deeply understand how students are engaged in MOOCs. Past…

Human-Computer Interaction · Computer Science 2020-08-14 Lei Shi , Alexandra I. Cristea , Armando M. Toda , Wilk Oliveira

Ranking and recommendation of multimedia content such as videos is usually realized with respect to the relevance to a user query. However, for lecture videos and MOOCs (Massive Open Online Courses) it is not only required to retrieve…

Multimedia · Computer Science 2020-05-29 Jianwei Shi , Christian Otto , Anett Hoppe , Peter Holtz , Ralph Ewerth

The substantial growth of online learning, in particular, Massively Open Online Courses (MOOCs), supports research into the development of better models for effective learning. Learner 'confusion' is among one of the identified aspects…

Computers and Society · Computer Science 2019-03-11 Thushari Atapattu , Katrina Falkner , Menasha Thilakaratne , Lavendini Sivaneasharajah , Rangana Jayashanka

In a Massive Open Online Course (MOOC), predictive models of student behavior can support multiple aspects of learning, including instructor feedback and timely intervention. Ongoing courses, when the student outcomes are yet unknown, must…

Machine Learning · Computer Science 2018-12-19 Mucong Ding , Yanbang Wang , Erik Hemberg , Una-May O'Reilly

Interactive online learning environments, represented by Massive AI-empowered Courses (MAIC), leverage LLM-driven multi-agent systems to transform passive MOOCs into dynamic, text-based platforms, enhancing interactivity through LLMs. This…

Computation and Language · Computer Science 2025-08-26 Yuanchun Wang , Yiyang Fu , Jifan Yu , Daniel Zhang-Li , Zheyuan Zhang , Joy Lim Jia Yin , Yucheng Wang , Peng Zhou , Jing Zhang , Huiqin Liu

Predictive models of student success in Massive Open Online Courses (MOOCs) are a critical component of effective content personalization and adaptive interventions. In this article we review the state of the art in predictive models of…

Computers and Society · Computer Science 2018-04-23 Josh Gardner , Christopher Brooks

The increasing availability of learning activity data in Massive Open Online Courses (MOOCs) enables us to conduct a large-scale analysis of learners' learning behavior. In this paper, we analyze a dataset of 351 million learning activities…

Information Retrieval · Computer Science 2024-08-07 Xin Zhou , Aixin Sun , Jie Zhang , Donghui Lin

Massive Open Online Courses (MOOCs) bring together a global crowd of thousands of learners for several weeks or months. In theory, the openness and scale of MOOCs can promote iterative dialogue that facilitates group cognition and knowledge…

Physics and Society · Physics 2023-01-05 Nabeel Gillani , Taha Yasseri , Rebecca Eynon , Isis Hjorth

Informal learning on the Web using search engines as well as more structured learning on MOOC platforms have become very popular in recent years. As a result of the vast amount of available learning resources, intelligent retrieval and…

Information Retrieval · Computer Science 2022-12-14 Christian Otto , Markos Stamatakis , Anett Hoppe , Ralph Ewerth

The advent of MOOCs has stimulated interest in using online videos to deliver content in university courses. We examined student engagement with 78 online videos that we created and were incorporated into a one-semester blended introductory…

We study user behavior in the courses offered by a major Massive Online Open Course (MOOC) provider during the summer of 2013. Since social learning is a key element of scalable education in MOOCs and is done via online discussion forums,…

Social and Information Networks · Computer Science 2013-12-23 Christopher G. Brinton , Mung Chiang , Shaili Jain , Henry Lam , Zhenming Liu , Felix Ming Fai Wong

The recent pandemic has changed the way we see education. It is not surprising that children and college students are not the only ones using online education. Millions of adults have signed up for online classes and courses during last…

Computers and Society · Computer Science 2022-01-19 Manuel J. Gomez , Mario Calderón , Victor Sánchez , Félix J. García Clemente , José A. Ruipérez-Valiente

The prediction of student performance and the analysis of students' learning behavior play an important role in enhancing online courses. By analysing a massive amount of clickstream data that captures student behavior, educators can gain…

Computers and Society · Computer Science 2024-10-23 Narjes Rohani , Behnam Rohani , Areti Manataki

Massive Open Online Courses (MOOCs) have become popular platforms for online learning. While MOOCs enable students to study at their own pace, this flexibility makes it easy for students to drop out of class. In this paper, our goal is to…

Machine Learning · Computer Science 2020-02-06 Byungsoo Jeon , Namyong Park , Seojin Bang