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Showing 106 to 120 of 585 results Save | Export
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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
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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
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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
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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
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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
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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
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Khajonmote, Withamon; Chinsook, Kittipong; Klintawon, Sununta; Sakulthai, Chaiyan; Leamsakul, Wicha; Jansawang, Natchanok; Jantakoon, Thada – Journal of Education and Learning, 2022
The system architecture of big data in massive open online courses (BD-MOOCs System Architecture) is composed of six components. The first component was comprised of big data tools and technologies such as Hadoop, YARN, HDFS, Spark, Hive, Sqoop, and Flume. The second component was educational data science, which is composed of the following four…
Descriptors: MOOCs, Data Collection, Student Behavior, Computer Software
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Deeva, Galina; De Smedt, Johannes; De Weerdt, Jochen – IEEE Transactions on Learning Technologies, 2022
Due to the unprecedented growth in available data collected by e-learning platforms, including platforms used by massive open online course (MOOC) providers, important opportunities arise to structurally use these data for decision making and improvement of the educational offering. Student retention is a strategic task that can be supported by…
Descriptors: Electronic Learning, MOOCs, Dropouts, Prediction
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Emre Uygun; Kürsat Cesur – Education and Information Technologies, 2025
The COVID-19 pandemic has notably increased the use of distance education, particularly in Türkiye's higher education English courses. Even after the normalisation process, compulsory English courses in Türkiye, the learners of which receive education in English for general purposes, are still being taught via distance education. Such a practice…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, MOOCs
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Xiaoxiao Wang (???); Shuangshuang Guo (???) – ECNU Review of Education, 2024
The Ministry of Education Research Center for Online Education conducted a national survey of university administrators of learning and teaching. The survey results showed that: (a) the universities in eastern China had developed and introduced more massive open online courses (MOOCs) than those in the central and western regions; (b) of the…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, COVID-19
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Nergiz Ercil Cagiltay; Sacip Toker; Kursat Cagiltay – Open Praxis, 2024
Massive Open Online Courses (MOOCs) now offer a variety of options for everyone to obtain a high-quality education. The purpose of this study is to better understand the behaviours of MOOC learners and provide some insights for taking actions that benefit larger learner groups. Accordingly, 2,288,559 learners' behaviours on 174 MITx courses were…
Descriptors: MOOCs, Behavior Patterns, Gender Differences, Age Differences
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Yaqian Xu; Yang Yang – British Journal of Educational Technology, 2024
A new mode of knowledge production, known as the 'organic growth pattern', has emerged within the online learning environment. It exhibits several unique features, such as iterative growth, fuelled by collective intelligence, fuzzy complexity, etc. It is more valuable and adaptable to support knowledge innovation within rapidly changing fields. To…
Descriptors: Knowledge Level, Electronic Learning, MOOCs, Content Analysis
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Daniela Bartalesi-Graf; Nikoletta Agonács; João Filipe Matos; David O'Steen – Computer Assisted Language Learning, 2024
The objective of our study was to understand learners' experiences in an LMOOC (Language Massive Open Online Course) and to highlight those elements that make an LMOOC successful. Our research focused on three questions: how do learners perceive their overall experience in the course, which specific LMOOC components learners appreciate, and to…
Descriptors: MOOCs, Second Language Instruction, Educational Technology, Student Attitudes
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