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Showing all 12 results Save | Export
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E. Gothai; S. Saravanan; C. Thirumalai Selvan; Ravi Kumar – Education and Information Technologies, 2024
In recent years, online education has been given more and more attention with the widespread use of the internet. The teaching procedure divides space and makes time for online learning; though teachers cannot control the learners accurately, the state of education calculates learners' learning situation. This paper explains that the discourse…
Descriptors: Artificial Intelligence, Discourse Analysis, Classification, Comparative Analysis
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Xia, Xiaona – Interactive Learning Environments, 2023
The interactive learning is a continuous process, which is full of a large number of learning interaction activities. The data generated between learners and learning interaction activities can reflect the online learning behaviors. Through the correlation analysis among learning interaction activities, this paper discusses the potential…
Descriptors: Behavior Patterns, Learning Analytics, Decision Making, Correlation
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Araka, Eric; Oboko, Robert; Maina, Elizaphan; Gitonga, Rhoda – International Review of Research in Open and Distributed Learning, 2022
With the increased emphasis on the benefits of self-regulated learning (SRL), it is important to make use of the huge amounts of educational data generated from online learning environments to identify the appropriate educational data mining (EDM) techniques that can help explore and understand online learners' behavioral patterns. Understanding…
Descriptors: Data Analysis, Metacognition, Comparative Analysis, Behavior Patterns
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Mutahar Qassem; Buthainah M. Al Thowaini – Education and Information Technologies, 2024
The optimal measurement of the effectiveness of online translation training courses necessitates a comprehensive evaluation of the translation process and product to fully understand the impact of such courses on trainee translators' behavior. In this study, we employed a one-group pretest-posttest design to assess the effect of a 12-week online…
Descriptors: Learning Analytics, Intervention, Translation, Online Courses
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Weisfeld-Spolter, Suri; Rippé, Cindy B. – Marketing Education Review, 2022
The pandemic has left students feeling unmotivated and missing class collaboration, resulting in an opportunity to create community. Creating community often occurs when eating food with others. Building upon the need to create community and to help marketing educators create a lesson that easily conveys the nuances of the consumer behavior buying…
Descriptors: Food, Marketing, Teaching Methods, Family and Consumer Sciences
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Yildirim, Denizer; Usluel, Yasemin – Australasian Journal of Educational Technology, 2022
This study aimed to examine the behaviour of learners across a whole system and in various courses to reveal the interrelation between learners' system interaction, age, programme features and course design. We obtained data from the system logs of 1,634 learners enrolled in distance learning programmes. We performed hierarchical clustering…
Descriptors: Interaction Process Analysis, Academic Achievement, Online Courses, Student Behavior
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Robert L. Peach; Sophia N. Yaliraki; David Lefevre; Mauricio Barahona – npj Science of Learning, 2019
The widespread adoption of online courses opens opportunities for analysing learner behaviour and optimising web-based learning adapted to observed usage. Here, we introduce a mathematical framework for the analysis of time-series of online learner engagement, which allows the identification of clusters of learners with similar online temporal…
Descriptors: Learning Analytics, Web Based Instruction, Online Courses, Learner Engagement
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Liu, Zhi; Cheng, Hercy N. H.; Liu, Sanya; Sun, Jianwen – International Journal of Information and Communication Technology Education, 2017
Due to high retention rates, small private online course (SPOC) has become increasingly popular among universities. However, existing analyses of learning behavioral patterns in SPOC remain extremely lacking. This present study conducts an empirical analysis on the behavioral patterns of 12,517 undergraduates engaging in a college's SPOC platform,…
Descriptors: Behavior Patterns, Online Courses, Undergraduate Students, Learning Processes
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Tan, Chia-Chen; Chen, Chih-Ming; Lee, Hahn-Ming – Computer Assisted Language Learning, 2020
A number of prominent educators have confirmed that developing learners' metacognitive strategies about listening is an important way of helping them learn how to listen to improve their listening. With the rapid development of information and communication technologies, many listening training systems provide various types of help options in…
Descriptors: Metacognition, Teaching Methods, Learning Strategies, Listening Skills
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Liu, Zhi; Zhang, Wenjing; Cheng, Hercy N. H.; Sun, Jianwen; Liu, Sannyuya – International Journal of Distance Education Technologies, 2018
As an overt expression of internal mental processes, discourses have become one main data source for the research of interactive learning. To deeply explore behavioral regularities among interactions, this article firstly adopts the content analysis method to summarize students' engagement patterns within a course forum in a small private online…
Descriptors: Discourse Analysis, Correlation, Academic Achievement, Learner Engagement
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Bendjebar, Safia; Lafifi, Yacine; Zedadra, Amina – International Journal of Distance Education Technologies, 2016
In e-learning systems, tutors have a significant impact on learners' life to increase their knowledge level and to make the learning process more effective. They are characterized by different features. Therefore, identifying tutoring styles is a critical step in understanding the preference of tutors on how to organize and help the learners. In…
Descriptors: Tutors, Tutoring, Tutor Training, Tutorial Programs
Geigle, Chase – ProQuest LLC, 2018
There are two primary challenges for instructors in offering a high-quality course at large scale. The first is scaling educational experiences to such a large audience. The second major challenge encountered is that of enabling adaptivity of the educational experience. This thesis addresses both major challenges in the way of high-quality…
Descriptors: Barriers, Educational Quality, Computer Assisted Testing, Educational Experience