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Students’ continuance intention to use MOOCs: empirical evidence from India
In recent years, there has been an increasing interest in understanding the Massive open online courses (MOOCs) due to its gaining popularity. Even...
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DigiFit4All – Conceptualisation of a Platform to Generate Personalised Open Online Courses (POOCs)
The need for evaluated digital resources arose over the last years as blended learning applications became even more popular, and distance learning...
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Student Perception of Online Information Literacy Training Through a Massive Open Online Course
This study aims to examine how students perceive online Information Literacy (IL) training through Massive Open Online Courses (MOOCs), based on...
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Learning Behavior Interest Propagation Strategy of MOOCs Based on Multi Entity Knowledge Graph
MOOCs might be an important organization way to realize the online learning process. Online technology and sharing technology enable MOOCs to realize...
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Educational Data Science Approach for an End-to-End Quality Assurance Process for Building Creditworthy Online Courses
Despite for-credit distance education existing since the latter half of the nineteenth century, the creditworthiness of massive open online courses...
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Influence of social learning on the completion rate of massive online open courses
Massive open online courses (MOOCs) are now well-established as a highly effective, flexible and large participation capacity distance learning tool....
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MOOCs Dropout Prediction via Classmates Augmented Time-Flow Hybrid Network
Massive Open Online Courses (MOOCs) provide learners with a platform for free learning. However, MOOCs have been criticized for high dropout rates in...
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What do we want to know about MOOCs? Results from a machine learning approach to a systematic literature map** review
By the end of 2020, over 16,300 Massive Open Online Courses (MOOCs) from 950 universities worldwide had enrolled over 180 million students. Interest...
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Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs
Since their ‘official’ emergence in 2012 (Gardner and Brooks
2018 ), massive open online courses (MOOCs) have been growing rapidly. They offer...
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A Decade of MOOCs and Beyond Platforms, Policies, Pedagogy, Technology, and Ecosystems with an Emphasis on Greater China
This book is an academic publication about the global development of massive open online courses (MOOCs) and major MOOC platforms worldwide in the...
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Deep neural networks for the automatic understanding of the semantic content of online course reviews
The rise of massive open online courses (MOOCs) brings rich opportunities for understanding learners' experiences based on analyzing...
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Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model
Asynchronous online learning has gained great popularity in higher education, especially due to the recent COVID-19 pandemic. However, few studies...
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AI based approach to trailer generation for online educational courses
In this paper, we propose an AI based approach to Trailer Generation in the form of short videos for online educational courses. Trailers give an...
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Towards a Light-Weight Certification Scheme for Cybersecurity MOOCs
Online education including MOOCs (Massive Open Online Courses) have steadily gained importance during the COVID-19 pandemic. They also play an...
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Using a MOOC to Train Teachers to Design and Deliver MOOCs
The open and online nature of Massive Online Open Courses (MOOC) can be a way to improve the success and efficiency of formal educational paths in...
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A revised application of cognitive presence automatic classifiers for MOOCs: a new set of indicators revealed?
Automatic analysis of the myriad discussion messages in large online courses can support effective educator-learner interaction at scale. Robust...
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Plug-and-Play EEG-Based Student Confusion Classification in Massive Online Open Courses
Use of Electroencephalography (EEG)-based monitoring devices in classrooms has seen greater uptake with increased interest in Internet of Things...
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Dropout prediction and decision feedback supported by multi temporal sequences of learning behavior in MOOCs
The temporal sequence of learning behavior is multidimensional and continuous in MOOCs. On the one hand, it supports personalized learning methods,...
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Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs
The rapid development of Massive Open Online Courses (MOOCs) surges the needs of advanced models for personalized online education. Existing...
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Which courses to choose? recommending courses to groups of students in online tutoring platforms
In the scope of this paper, we solve the course mismatch problem of recommending courses to a group of students on online tutoring platforms....
