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Showing 31 to 45 of 660 results Save | Export
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Hanane Sebbaq; Nour-eddine El Faddouli – International Review of Research in Open and Distributed Learning, 2024
MOOCs (massive open online courses), because of their scale and accessibility, have become a major area of interest in contemporary education. However, despite their growing popularity, the question of their quality remains a central concern, partly due to the lack of consensus on the criteria establishing such quality. This study set out to fill…
Descriptors: MOOCs, Quality Assurance, Success, Instructional Design
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Anagha Ani; Ean Teng Khor – Education and Information Technologies, 2024
Predictive modelling in the education domain can be utilised to significantly improve teaching and learning experiences. Massive Open Online Courses (MOOCs) generate a large volume of data that can be exploited to predict and evaluate student performance based on various factors. This paper has two broad aims. Firstly, to develop and tune several…
Descriptors: MOOCs, Classification, Artificial Intelligence, Prediction
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Ignacio Martinez Escobedo; Kathleen Doherty; Claire Eccleston – American Journal of Distance Education, 2024
Introduction: Health promotion MOOCs (hpMOOCs) can be designed to educate general audiences on global health issues and provide accessible evidence-based content. Thus, it is essential to assess the instructional design quality of hpMOOCs through more than one perspective to ensure course participants have an effective learning experience and…
Descriptors: Health Promotion, MOOCs, Dementia, Risk Management
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Andrés Chiappe; Juan Manuel Díaz; María Soledad Ramirez-Montoya – International Review of Research in Open and Distributed Learning, 2024
During the last decade, a growing interest in open educational resources (OER) has developed among educational researchers worldwide. This trend involves the examination of possible effects over diverse learning domains such as the development of literacy and digital skills in the context of the fourth industrial revolution. To address this…
Descriptors: Digital Literacy, Open Educational Resources, Artificial Intelligence, Usability
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Hu, Yuanyuan; Donald, Claire; Giacaman, Nasser – International Journal of Artificial Intelligence in Education, 2023
This paper investigates using multi-label deep learning approach to extending the understanding of cognitive presence in MOOC discussions. Previous studies demonstrate the challenges of subjectivity in manual categorisation methods. Training automatic single-label classifiers may preserve this subjectivity. Using a triangulation approach, we…
Descriptors: Classification, MOOCs, Artificial Intelligence, Intelligent Tutoring Systems
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Ata Jahangir Moshayedi; Atanu Shuvam Roy; Zeashan Hameed Khan; Hong Lan; Habibollah Lotfi; Xiaohong Zhang – Education and Information Technologies, 2025
In this paper, a secure exam proctoring assistant 'EMTIHAN' (which means exam in Arabic/Persian/Urdu/Turkish languages) is developed to address concerns related to online exams for handwritten topics by allowing students to submit their answers online securely via their mobile devices. This system is designed with an aim to lessen the student's…
Descriptors: Computer Assisted Testing, Distance Education, MOOCs, Virtual Classrooms
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Thada Jatnkoon; Kitsadaporn Jantakun; Thiti Jantakun; Rungfa Pasmala – Higher Education Studies, 2025
This research addresses the pressing need for innovative educational frameworks that foster creativity and innovation in online learning environments. The study develops and validates a comprehensive model integrating STEAM education, micro-learning principles, and augmented reality (AR) technology within massive open online courses (MOOCs).…
Descriptors: STEM Education, Art Education, MOOCs, Creativity
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Wu Xu; Zhang Wei; Peng Yan – European Journal of Education, 2025
This study investigates the use of Large Language Models (LLMs) by undergraduates majoring in Instrumentation and Control Engineering (ICE) at University of Shanghai for Science and Technology. We conducted a questionnaire survey to assess the awareness and usage habits of these LLMs among ICE undergraduates in ICE courses, focusing on the model…
Descriptors: Artificial Intelligence, Natural Language Processing, Engineering Education, Majors (Students)
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Jingshan Liu; Alejandro Barranquero – Educational Media International, 2025
This paper examines the evolution and characteristics of technological myths surrounding educational technologies (EdTech) in the Spanish media over the past decade, focusing on the case of MOOCs by analysing the representation of MOOCs in mainstream during the 2010s through qualitative discourse analysis of articles published in newspapers during…
Descriptors: Educational Technology, Technology Uses in Education, MOOCs, Misconceptions
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Zhenjiao Chen; Miao Liu; Ruoxin Zhou – British Journal of Educational Technology, 2025
High dropout rates and low pass rates are prevalent problems encountered by online learning platforms, which greatly hinder the development of online education. Drawing upon the theory of attention allocation, this study aimed to investigate the factors influencing the effectiveness of Massive Open Online Courses (MOOCs), as well as the potential…
Descriptors: MOOCs, Instructional Effectiveness, Foreign Countries, Educational Quality
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Hongzhu Long; Jiangting Liu – SAGE Open, 2025
This study aims to investigate the influence of interaction on undergraduates' continuance intention to use Massive Open Online Courses based on the Expectation Confirmation Model (ECM) and to examine the moderating effect of gender. 235 undergraduates were randomly sampled and surveyed, providing self-reports on 10 constructs (student-student…
Descriptors: MOOCs, Student Attitudes, Undergraduate Students, Peer Relationship
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Hanqiang Liu; Xiao Chen; Feng Zhao – Education and Information Technologies, 2024
Massive open online courses (MOOCs) have become one of the most popular ways of learning in recent years due to their flexibility and convenience. However, high dropout rate has become a prominent problem that hinders the further development of MOOCs. Therefore, the prediction of student dropouts is the key to further enhance the MOOCs platform.…
Descriptors: MOOCs, Video Technology, Behavior Patterns, Prediction
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Ruiqi Deng – Technology, Pedagogy and Education, 2024
Video lectures in massive open online courses (MOOCs) provide an opportunity to not only deliver instructional content but also engage learners. While there are many different styles of video lectures, it is not clear how video styles affect learner engagement. This study analysed and critiqued different typologies of video styles and classified…
Descriptors: Video Technology, MOOCs, Learner Engagement, Lecture Method
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Yuan Liu; Yongquan Dong; Chan Yin; Cheng Chen; Rui Jia – Education and Information Technologies, 2024
The open online course (MOOC) platform has seen an increase in usage, and there are a growing number of courses accessible for people to select. An effective method is urgently needed to recommend personalized courses for users. Although the existing course recommendation models consider that users' interests change over time, they often model…
Descriptors: MOOCs, Online Courses, Models, Course Selection (Students)
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Kai Wang; Josep Rialp Criado; Stefan Felix Van Hemmen – International Review of Research in Open and Distributed Learning, 2024
This study involved 51 Chinese universities from the Quacquarelli Symonds (QS) World University Ranking 2021. With based the resource-based view (RBV) as a framework, it aimed to identify the determinants of human resource capital that were related to universities' production of MOOCs. Three determinants were detected--size, lifelong learning, and…
Descriptors: MOOCs, Foreign Countries, Human Capital, Colleges
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