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Showing 1 to 15 of 644 results Save | Export
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Wei Cong Lim; Rebecca L. Haslam; Lee M. Ashton; Sasha Fenton; Clare E. Collins – Health Education Journal, 2024
Background: Massive Open Online Courses (MOOCs) can engage large numbers of learners. Understanding motivations for enrolling and elements that engage learners may help meet learner needs. This study explored motivations, intentions, recruitment methods and course acceptability of learners enrolled in 'The Science of Weight Loss: Dispelling diet…
Descriptors: MOOCs, Nutrition, Health Education, Adult Learning
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Ella Anghel; Joshua Littenberg-Tobias; Matthias von Davier – AERA Online Paper Repository, 2024
Existing studies on Massive Open Online Courses (MOOCs) examine learners' engagement processes but have not explored links between them and motivations to enroll. In our previous work, we identified intrinsic, professional, and prosocial motivations for taking MOOCs. In this study, we used process mining to compare the course engagement patterns…
Descriptors: MOOCs, Learner Engagement, Student Motivation, Enrollment
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Andres Felipe Zambrano; Shreya Singhal; Maciej Pankiewicz; Ryan Shaun Baker; Chelsea Porter; Xiner Liu – Information and Learning Sciences, 2025
Purpose: This study aims to evaluate the effectiveness of three large language models (LLMs), GPT-4o, Llama 3.3 70B and Llama 3.1 8B, in redacting personally identifying information (PII) from forum data in massive open online courses (MOOCs). Design/methodology/approach: Forum posts from students enrolled in nine MOOCs were redacted by three…
Descriptors: Artificial Intelligence, Identification, Privacy, Information Security
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Younes-Aziz Bachiri; Hicham Mouncif; Belaid Bouikhalene – Knowledge Management & E-Learning, 2025
This study explores the use of artificial intelligence to improve active retrieval and retention in Massive Open Online Courses (MOOCs). We developed an AI-driven system that generates learning cards to facilitate active recall and utilize spaced repetition. The system was tested with a group of students and instructors, and the results showed…
Descriptors: Artificial Intelligence, MOOCs, Technology Uses in Education, Repetition
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Xieling Chen; Di Zou; Gary Cheng; Haoran Xie – Education and Information Technologies, 2024
The rise of massive open online courses (MOOCs) brings rich opportunities for understanding learners' experiences based on analyzing learner-generated content such as course reviews. Traditionally, the unstructured textual data is analyzed qualitatively via manual coding, thus failing to offer a timely understanding of the learner's experiences.…
Descriptors: Artificial Intelligence, Semantics, Course Evaluation, MOOCs
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Nur W. Rahayu; Agung Nugroho Adi; Ridi Ferdiana; Sri Suning Kusumawardani – Turkish Online Journal of Distance Education, 2024
Students benefit from a nonlinear learning path, also known as a nonsequential learning path, because it allows them to control the pace and sequence of their learning. However, the dynamics of a nonlinear learning path, particularly within an open learning environment like MOOCs, remain underexplored. The current study aims to map out various…
Descriptors: Learning Trajectories, Open Education, MOOCs, Educational Research
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Dennis A. Rivera; Mariane Frenay; Magali Paquot – Journal of Computer Assisted Learning, 2024
Background: Forums in massive open online courses (MOOCs) enable written exchanges on course content; hence, they can potentially facilitate learners' cognitive engagement. Given the myriad of MOOC forum messages, this engagement is commonly analysed automatically through the linguistic features of the messages. Assessing linguistic features of…
Descriptors: MOOCs, Learner Engagement, Group Discussion, Language Usage
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Ghadah Al Murshidi; Kseniia Adamovich; Jamie Costley; Ekaterina Andronova; Hamda Alblooshi; Ruwaya Alderei; Anna Gorbunova – International Journal of Distance Education Technologies, 2025
The aim of the present paper is to explore students' perceptions of MOOCs in relation to their learning strategies. Drawing upon cognitive appraisal theory and learning strategies framework, the study examines the perception of MOOCs as threats or challenges and assesses students' learning approaches through the prism of deep and surface learning…
Descriptors: MOOCs, Learning Strategies, Student Attitudes, Cognitive Style
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Rohit Murali; Cristina Conati; David Poole – International Educational Data Mining Society, 2025
When tutoring students it is useful to be able to predict whether they are succeeding as early as possible. This paper compares multiple methods for predicting from sequential interaction data whether a student is on a successful path. Predicting students' future performance and intervening has shown promise in improving learner outcomes and…
Descriptors: Classification, Prediction, Markov Processes, Artificial Intelligence
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Hengtao Tang; Yu Bao – Interactive Learning Environments, 2024
Self-regulated learning is a crucial skill that may enable massive numbers of learners to thrive in MOOCs, but MOOC learners differ in their self-regulated learning skills, as low self-regulated learners need support to regulate their learning process in MOOCs. Designing self-regulated learning scaffoldings builds upon an accurate appraisal of…
Descriptors: Self Management, Profiles, MOOCs, Land Grant Universities
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Emmanuel Burguete; Bernard Coulibaly; Vassilis Komis – Education and Information Technologies, 2025
To design and script courses, practitioners often collaboratively use simple and tangible tools such as Post-it notes. In light of this, research and development were conducted to develop Eduscript Doctor, an analogic tool that would retain the inductive potential of Post-it notes while structuring the pedagogical scripting process. This…
Descriptors: Instructional Design, Program Implementation, MOOCs, Scripts
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Juming Jiang; Luke K. Fryer – Education and Information Technologies, 2025
The number of Massive Open Online Courses' (MOOCs) participants has been increasing over the years but its completion rate is extremely low. Social support/social interaction is one of the key factors that has a huge impact on students' learning motivation in both online and offline environments, but difficult to maintain in MOOCs due to its…
Descriptors: MOOCs, Learner Engagement, Social Support Groups, Academic Persistence
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Nabila Khodeir; Fatma Elghannam – Education and Information Technologies, 2025
MOOC platforms provide a means of communication through forums, allowing learners to express their difficulties and challenges while studying various courses. Within these forums, some posts require urgent attention from instructors. Failing to respond promptly to these posts can contribute to higher dropout rates and lower course completion…
Descriptors: MOOCs, Computer Mediated Communication, Conferences (Gatherings), Models
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Shanshan Shang; Tianyun Yi; Wenfei Lyv – Asia Pacific Education Review, 2025
Promoting continuous learning behavior is a key challenge for online learning. The present paper empirically examines the effects of course network characteristics including course network size, course network diversity, and course strong ties on continuance behavior, considering the moderating impacts of social learning and social exposure.…
Descriptors: Electronic Learning, Foreign Countries, MOOCs, Student Behavior
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Hmedna, Brahim; Bakki, Aicha; Mezouary, Ali El; Baz, Omar – Smart Learning Environments, 2023
Massive Open Online Courses (MOOCs) are revolutionizing online education and have become a popular teaching platform. However, traditional MOOCs often overlook learners' individual needs and preferences when designing learning materials and activities, resulting in suboptimal learning experiences. To address this issue, this paper proposes an…
Descriptors: MOOCs, Student Attitudes, Preferences, Cognitive Style
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