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Analysing student performance for online education using the computational models
Traditional face-to-face education has shifted to online education to prevent large gatherings and crowds from spreading the COVID-19 virus. Several...
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Analysis and Prediction of the Factors Influencing Students’ Grades Based on Their Learning Behaviours in MOOCs
The outbreak of COVID-19 brought new challenges to learning and teaching, and MOOCs (massive open online courses), as online distance learning...
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A Correlation Analysis Between MOOCs and Scholarly Performance, Emphasizing Scientific Peer Review Journal Publication
As a response to societal needs, Massive Open Online Courses (MOOCs) were developed as openly available sources of knowledge for enthusiastic...
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A Recommendation Algorithm for Online English Reading Courses in Higher Vocational Colleges Based on Differential Privacy
The current logic of recommending online reading courses for vocational college English is generally one-way hierarchy, with limited recommended...
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The Road Not Taken: Preempting Dropout in MOOCs
Massive Open Online Courses (MOOCs) are often plagued by a low level of student engagement and retention, with many students drop** out before...
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Popularity Prediction in MOOCs: A Case Study on Udemy
Massive Open Online Courses (MOOCs) have dramatically changed how people access education. Though substantial research works have been carried out to...
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Domain-Driven Event Abstraction Framework for Learning Dynamics in MOOCs Sessions
In conjunction with the rapid expansion of Massive Open Online Courses (MOOCs), academic interest has grown in the analysis of MOOC student study...
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A systematic analysis using classification machine learning algorithms to understand why learners drop out of MOOCs
The increasing popularity of massively online open courses (MOOCs) has been attracting a lot of learners. Despite the popularity, it has been...
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Cognition Prediction Model for MOOCs Learners Based on ANN
Massive Open Online Courses (MOOCs) are becoming in- increasingly popular in recent years. In a virtual world, examining the cognition processes of...
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Meta-relationship for course recommendation in MOOCs
Course recommendations are used to help students with different needs to choose courses. However, students’ needs are not always determined by their...
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MPEG-DASH parametrisation for adaptive online streaming of different MOOC videos categories
The Dynamic Adaptive Streaming over HTTP (MPEG-DASH) ensures online videos display of good quality and without interruption. It provides an adequate...
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Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach
The proliferation of massive open online courses (MOOCs) demands an effective way of course recommendation for jobs posted in recruitment websites,...
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Recommendation Method of Cross-language Computer Courses
In traditional course recommendation methods, courses are usually recommended through a single language content. However, learners can not be...
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Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs
Massive Open Online Course (MOOC) platforms have been growing exponentially, offering worldwide low-cost educational content. Recent literature on...
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Learner success and the factors influencing it in computer programming MOOC
Learners’ success in Massive Open Online Courses (MOOCs) and the factors influencing it have previously been examined mainly upon completion of the...
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Transitioning to Online Instructions and COVID-19 Response: A View from Mining Emergent College Students Discourse in Online Discussion Forum
The COVID-19 pandemic disrupted teaching and learning activities in higher education around the world. As universities shifted to remote instruction...
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A Brazilian Web Platform for Develo** Massive Online Open Courses
In the mid-2010s, a new concept of online courses emerged, the Massive Online Open Courses (MOOCs). This work aims to develop a web platform for...
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An audio MOOC framework for the digital inclusion of low literate people in the distance education process
This work introduces an innovative audio massive open online courses (MOOC) framework which enables distance learning through mere phone calls,...
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Analysis of MOOC Features in a Regional Platform: Design and Delivery of Courses
At least two motivations make relevant research on regional MOOC providers: (1) they are Learning at scale environments where a large amount of data...
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Integrating Podcasts into MOOCs: Comparing Effects of Audio- and Video-Based Education for Secondary Content
Multimedia learning methods can enrich any online learning scenario. However, traditional Massive Open Online Courses (MOOCs) often put the learner...