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Showing 166 to 180 of 598 results Save | Export
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Rohani, Narjes; Gal, Kobi; Gallagher, Michael; Manataki, Areti – International Educational Data Mining Society, 2023
Massive Open Online Courses (MOOCs) make high-quality learning accessible to students from all over the world. On the other hand, they are known to exhibit low student performance and high dropout rates. Early prediction of student performance in MOOCs can help teachers intervene in time in order to improve learners' future performance. This is…
Descriptors: Prediction, Academic Achievement, Health Education, Data Science
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Han, Songhee; Liu, Min; Pan, Zilong; Cai, Ying; Shao, Peixia – International Journal of Artificial Intelligence in Education, 2023
In this study, we examined interaction behaviors between a small number of participants in two massive open online courses (MOOCs) and an FAQ chatbot, focusing on the participants' native language markers. We used a binary native language marker (non-native English user vs. native English user) to distinguish between two groups in this multiple…
Descriptors: Artificial Intelligence, MOOCs, Native Language, Computer Mediated Communication
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Liu, Zhi; Kong, Xi; Chen, Hao; Liu, Sannyuya; Yang, Zongkai – IEEE Transactions on Learning Technologies, 2023
In a massive open online courses (MOOCs) learning environment, it is essential to understand students' social knowledge constructs and critical thinking for instructors to design intervention strategies. The development of social knowledge constructs and critical thinking can be represented by cognitive presence, which is a primary component of…
Descriptors: MOOCs, Cognitive Processes, Students, Models
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Jarnac de Freitas, Marta; Mira da Silva, Miguel – Open Learning, 2023
One of the main problems of Massive Open Online Courses (MOOCs) is the low retention rate of students and a high no-show rate. Meanwhile gamification has been gaining notoriety in the last decade within the education field. This systematic literature review explores the impact gamification has had in MOOCs, how their success is being measured,…
Descriptors: Literature Reviews, Gamification, MOOCs, School Holding Power
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Yousaf, Yousra; Shoaib, Muhammad; Hassan, Muhammad Awais; Habiba, Ume – Interactive Learning Environments, 2023
Learning trend has been shifted from a conventional way to a digital way in the form of E-learning, but it faces a high dropout ratio. Lack of engagement is one of the primary factors reported for this issue as the same type of course content is presented to learners despite their different background, knowledge and learning styles. Different…
Descriptors: Intelligent Tutoring Systems, Cognitive Style, Learner Engagement, Academic Achievement
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Liu, Shuiyin; Huang, Fang – Journal of Pedagogical Research, 2023
Although Massive Open Online Courses (MOOCs) have attracted extensive attention among educational stakeholders, the issue of the high dropout rate has yet to be solved. The current study aimed to unpack teacher influence on MOOCs learners' continuance learning intention, and to examine the mediating roles of students' perceived usefulness and…
Descriptors: MOOCs, Intention, Student Attitudes, Value Judgment
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Goglio, V.; Bertolini, S.; Parigi, P. – Journal of Education and Work, 2023
The advantages of higher education have received significant attention over time. However, recent research seems to challenge this assumption. It highlights that returns to education may be subject to inflation, may vary in relation to skills, and may not be equally distributed, thus posing new questions about the role of formal education. Against…
Descriptors: Foreign Countries, MOOCs, Labor Market, Outcomes of Education
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Rõõm, Marili; Luik, Piret; Lepp, Marina – Education and Information Technologies, 2023
Learners' success in Massive Open Online Courses (MOOCs) and the factors influencing it have previously been examined mainly upon completion of the course. This approach does not reveal whether learners are fulfilling their initial intentions regarding MOOCs and which factors affect it and thus the individual success of the learners. This…
Descriptors: Academic Achievement, MOOCs, Programming, Computer Science Education
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Kim, Rang; Song, Hae-Deok – Distance Education, 2023
This study aimed to develop and validate a scale of agentic engagement in massive open online courses (MOOCs). Initially, 14 items were derived through a literature review, from which 7 items were drawn through a Delphi survey. Sample sets were used to develop and confirm the constructs of the new scale proposed in this study. To examine…
Descriptors: MOOCs, Test Construction, Test Validity, Learner Engagement
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Marc Egloffstein; Muhittin Sahin; Dirk Ifenthaler – Online Learning, 2023
Despite their growing importance, differential, process-oriented research on Massive Open Online Courses (MOOCs) for professional learning is scarce. This paper explores learner behavior in Enterprise MOOCs using lag sequential analysis. Data from 13 MOOCs on business and technology-related topics with a total of N = 72,668 active learners were…
Descriptors: Instructional Design, Professional Development, MOOCs, Business
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Gustavo Simas da Silva; Vânia Ribas Ulbricht – International Association for Development of the Information Society, 2023
ChatGPT and Bard, two chatbots powered by Large Language Models (LLMs), are propelling the educational sector towards a new era of instructional innovation. Within this educational paradigm, the present investigation conducts a comparative analysis of these groundbreaking chatbots, scrutinizing their distinct operational characteristics and…
Descriptors: Comparative Analysis, Teaching Methods, Computer Software, Artificial Intelligence
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Khor, Ean Teng – International Journal of Information and Learning Technology, 2022
Purpose: The purpose of the study is to build predictive models for early detection of low-performing students and examine the factors that influence massive open online courses students' performance. Design/methodology/approach: For the first step, the author performed exploratory data analysis to analyze the dataset. The process was then…
Descriptors: Prediction, Low Achievement, Algorithms, Artificial Intelligence
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Joan, D. R. Robert; Sheeja, Y. – Journal on School Educational Technology, 2022
In the current scenario, Swayam learning is becoming a part of the curriculum of higher education. At this point, the prospective teachers are not staying away from the word "swayam." In the curriculum of the College of Education, there is a compulsory certificate course from Swayam Learning App. All the candidates who are getting a…
Descriptors: MOOCs, Academic Achievement, Preservice Teachers, Foreign Countries
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Hu, Yuanyuan; Donald, Claire; Giacaman, Nasser – International Review of Research in Open and Distributed Learning, 2022
As large-scale, sophisticated open and distance learning environments expand in higher education globally, so does the need to support learning at scale in real time. Valid, reliable rubrics of critical discourse are an essential foundation for developing artificial intelligence tools that automatically analyse learning in educator-student…
Descriptors: Validity, Scoring Rubrics, Automation, Classification
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Duncan, Andrea; Premnazeer, Meera; Sithamparanathan, Gobika – Advances in Health Sciences Education, 2022
Massive Open Online Courses (MOOCs) are flexible offerings that deliver content to a large audience in a virtual platform. MOOCs are increasingly accessed by health professionals to support their own professional development. Despite the agreed usefulness of MOOCs, the rates of adoption are still extremely low. This study sought to understand the…
Descriptors: Allied Health Personnel, Occupational Therapy, Graduates, MOOCs
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