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Showing 16 to 30 of 585 results Save | Export
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Shiqi Liu; Sannyuya Liu; Xian Peng; Jianwen Sun; Zhi Liu – Journal of Educational Computing Research, 2025
Forum discussions in Massive Open Online Courses (MOOCs) play a crucial role in promoting learning engagement and academic achievement. In particular, discussion topics significantly influence learners' emotional and cognitive engagement. However, the complex interrelationships among these factors remain underexplored. This study introduces an…
Descriptors: MOOCs, Difficulty Level, Learner Engagement, Academic Achievement
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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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Berkan Celik; Kursat Cagiltay – Education and Information Technologies, 2024
MOOC learners come from different backgrounds, and they have various motivations and intentions for taking online courses. This study examines learner intentions with subsequent behaviors and the reasons for the intention-behavior gap in MOOCs. A total of four MOOCs from BilgeIs MOOC Portal was used in this study. This quantitative study with a…
Descriptors: Students, MOOCs, Intention, Student Behavior
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Shang Shanshan; Lyv Wenfei – Technology, Knowledge and Learning, 2024
Considering the ubiquity, large volume of similar courses, and the huge cost of a course, it becomes imperative to understand factors affecting MOOCs course enrolments. This paper aims to investigate how the home page elements of a MOOC influence students' enrolments. The elements in the home page include course category, course description, team…
Descriptors: Foreign Countries, MOOCs, Enrollment, Influences
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Sa'ar Karp Gershon; Ella Anghel; Giora Alexandron – Education and Information Technologies, 2024
For Massive Open Online Courses to have trustworthy credentials, assessments in these courses must be valid, reliable, and fair. Item Response Theory provides a robust approach to evaluating these properties. However, for this theory to be applicable, certain properties of the assessment items should be met, among them that item difficulties are…
Descriptors: MOOCs, Item Response Theory, Physics, Advanced Placement Programs
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Saltanat Aubakirova; Maira Kozhamzharova; Gaukhar Akhmetova; Gulzhan Artykbayeva; Zauresh Iskakova; Ramilya Zhayabayeva – Education and Information Technologies, 2024
The study aims to investigate the level of motivation and entrepreneurial competencies of students using online distance courses in entrepreneurial learning. Based on the Massive Open Online Courses (MOOCs) program, an experimental group of respondents took the course "How to Start Your Own Business" (March-May 2022), and their results…
Descriptors: MOOCs, Entrepreneurship, Student Motivation, Ability
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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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Moore, Robert L. – Distance Education, 2022
In this paper, I introduce a new term to the online learning lexicon, "mesocredentials," an emerging and transformative approach to integrating massive open online courses (MOOCs) within the higher education system. A mesocredential connects MOOC achievement with academic credit applied to a traditional academic degree. I distinguish…
Descriptors: Credentials, Academic Achievement, Credits, MOOCs
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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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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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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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