Publication Date
In 2025 | 53 |
Since 2024 | 234 |
Since 2021 (last 5 years) | 561 |
Since 2016 (last 10 years) | 596 |
Since 2006 (last 20 years) | 598 |
Descriptor
Source
Author
Curtis J. Bonk | 5 |
Meina Zhu | 5 |
Ella Anghel | 4 |
Haoran Xie | 4 |
Kursat Cagiltay | 4 |
Xieling Chen | 4 |
Zhang, Jingjing | 4 |
Berkan Celik | 3 |
Cao-Tuong Dinh | 3 |
Cixiao Wang | 3 |
Cohen, Anat | 3 |
More ▼ |
Publication Type
Education Level
Location
China | 78 |
India | 25 |
United States | 21 |
Turkey | 20 |
Europe | 16 |
Australia | 15 |
Spain | 15 |
Indonesia | 13 |
Taiwan | 11 |
Vietnam | 11 |
Africa | 10 |
More ▼ |
Laws, Policies, & Programs
Head Start | 1 |
Universal Declaration of… | 1 |
Assessments and Surveys
Motivated Strategies for… | 2 |
Test of English as a Foreign… | 2 |
Academic Motivation Scale | 1 |
Need for Cognition Scale | 1 |
Test of English for… | 1 |
What Works Clearinghouse Rating
Carina Titus Swai; Qingtang Liu; Linjing Wu – Interactive Learning Environments, 2024
Massive Open Online Courses (MOOCs) are platforms teachers can use to seek guidance on different strategies to update their teaching skills. This study finds the effectiveness of MOOCs in developing professional performance and skills of school teachers. It tries to show the extent to which school teachers can benefit from these courses and how…
Descriptors: MOOCs, Professionalism, Faculty Development, Teaching Methods
Wang Jing Hao; Zaidatun Tasir – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study aims to develop a theoretical framework for enhancing students' higher-order thinking skills (HOTS) by integrating massive open online courses (MOOCs) with gamification elements. Background: There is a growing demand to develop students' innovative thinking abilities through MOOCs, focusing on higher-order thinking skills…
Descriptors: MOOCs, Gamification, Thinking Skills, Skill Development
Ruth-Elizabeth Minga-Vallejo; María-Soledad Ramírez-Montoya; María-José Rodríguez-Conde – SAGE Open, 2024
In education, technological advances have boosted digital processes that expand training possibilities, such as xMOOCs (eXtended Massive Open Online Courses). The purpose of this study was to analyze the design of the xMOOC in the light of open and collaborative innovation and the social construction of learning. The quantitative method and…
Descriptors: MOOCs, Expertise, Attitudes, Sustainability
Ilana Ram; Sara Harris; Ido Roll – International Journal of Artificial Intelligence in Education, 2024
Personalization in education describes instruction that is tailored to learners' interests, attributes, or background and can be applied in various ways, one of which is through choice. In choice-based personalization, learners choose topics or resources that fit them the most. Personalization may be especially important (and under-used) with…
Descriptors: MOOCs, Individualized Instruction, Student Interests, Active Learning
Yalin Li; Min Zhao – Interactive Learning Environments, 2024
Massive Open Online Courses (MOOCs) are the product of "internet + education", offering open educational resources to global students. This study analyzed the factors influencing students' intention to continue using MOOCs based on their satisfaction. To achieve research objectives this study integrates the unified theory of acceptance…
Descriptors: MOOCs, Interpersonal Relationship, Influences, Student Attitudes
Jon Billsberry; Irit Alony – Journal of Management Education, 2024
Massive open online courses (MOOCs) are online-based teaching programs designed to accommodate thousands of students without charging any fees. They began appearing in 2009 and 2010, became popular for a while, but are in decline now. This paper contains bibliometric and systematic reviews of research on MOOCs to see what can be learned from the…
Descriptors: MOOCs, Management Development, Business Administration Education, Prevention
Yun-Qi Bai; Ya-Qian Xu; Jian-Jun Xiao – Interactive Learning Environments, 2024
This study takes the value-based adoption model and CIE model of the learning process as the theoretical basis and combines them to explore the influencing factors and mechanisms of learners' online interaction and perceived value. Based on the questionnaire survey data of 81 learners' potential factors and their 45,166 real-time behavior data on…
Descriptors: MOOCs, Interaction, Student Behavior, Learning Processes
Zankadi, Hajar; Idrissi, Abdellah; Daoudi, Najima; Hilal, Imane – Education and Information Technologies, 2023
Interests play an essential role in the process of learning, thereby enriching learners 'interests will yield to an enhanced experience in MOOCs. Learners interact freely and spontaneously on social media through different forms of user-generated content which contain hidden information that reveals their real interests and preferences. In this…
Descriptors: Students, Social Media, Content Analysis, Interests
Qi, Dan; Zhang, Mingli; Zhang, Yan – Interactive Learning Environments, 2023
With the ever-increasing adoption of MOOCs, the study of MOOCs learning behavior has been paid more and more attention, both in practice and in academia. This study aims to understand the impact of resource integration (including platform resources, teacher resources, and learner resources) on learners' perception of value co-creation (including…
Descriptors: MOOCs, Student Attitudes, Intention, Academic Persistence
Xia, Xiaona; Qi, Wanxue – International Journal of Educational Technology in Higher Education, 2023
The temporal sequence of learning behavior is multidimensional and continuous in MOOCs. On the one hand, it supports personalized learning methods, achieves flexible time and space. On the other hand, it also makes MOOCs produce a large number of dropouts and incomplete learning behaviors. Dropout prediction and decision feedback have become an…
Descriptors: MOOCs, Dropouts, Prediction, Decision Making
Zhang, Min; Li, Sihong; Zhang, Yan – Australasian Journal of Educational Technology, 2023
Retaining learners has been an important issue for massive open online course (MOOC) platforms. Given the different, and even contradictory, conclusions in studies on the continuance intention of MOOC learners, this study selected 53 highly correlated empirical studies published from 2008 to 2022 and constructed a research model based on visual…
Descriptors: Meta Analysis, Prior Learning, Student Participation, MOOCs
Stephanie Dionne Connolly – ProQuest LLC, 2023
Data scientists in educational research utilize learning analytics to investigate predictors of adult learner performance or final grades in closed online courses, blended or hybrid courses, and Massive Open Online Courses (MOOCs). The purpose of this quantitative correlational study was to investigate if and to what extent a predictive…
Descriptors: MOOCs, Adult Students, Private Colleges, Learner Controlled Instruction
Alexandros Liapis; Vicky Maratou; Theodor Panagiotakopoulos; Christos Katsanos; Achilles Kameas – Interactive Learning Environments, 2023
The current era of (e-)learning invests heavily on Massive Open Online Courses (MOOCs). Various dedicated MOOC platforms are used, such as Coursera, Udacity, and Open edX. Moodle, one of the most popular open-source Learning Management Systems (LMS), has been also used for MOOC implementations. Usability and user experience (UX) are very important…
Descriptors: MOOCs, Usability, Learning Management Systems, Computer Software Evaluation
Wanli Xing; Hanxiang Du – Journal of Educational Computing Research, 2023
Online learning communities are becoming increasingly popular as they are known to support collaborative dialogue and knowledge building. Previous studies have typically focused on small, closed learning communities from an individual, static, and aggregated perspective. This research aims to advance our understanding of open and large online…
Descriptors: MOOCs, Social Networks, Learning Analytics, Online Courses
Basnet, Ram B.; Johnson, Clayton; Doleck, Tenzin – Education and Information Technologies, 2022
The nature of teaching and learning has evolved over the years, especially as technology has evolved. Innovative application of educational analytics has gained momentum. Indeed, predictive analytics have become increasingly salient in education. Considering the prevalence of learner-system interaction data and the potential value of such data, it…
Descriptors: Prediction, Dropouts, Predictive Measurement, Data Collection