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Jamal Kay B. Rogers; Tamara Cher R. Mercado; Ronald S. Decano – Journal of Education and Learning (EduLearn), 2025
Poor academic performance remains among the most concerning educational issues, especially in higher education and online learning. To address the concern, institutions like the University of Southeastern Philippines (USeP) leverage educational data mining (EDM) techniques to generate relevant information from learning management systems (LMS)…
Descriptors: Foreign Countries, Learning Management Systems, Academic Achievement, Data Analysis
Seiyon M. Lee; Sami Baral; Hongming Chip Li; Li Cheng; Shan Zhang; Carly S. Thorp; Jennifer St. John; Tamisha Thompson; Neil Heffernan; Anthony F. Botelho – Journal of Educational Data Mining, 2025
Teachers often use open-ended questions to promote students' deeper understanding of the content. These questions are particularly useful in K-12 mathematics education, as they provide richer insights into students' problem-solving processes compared to closed-ended questions. However, they are also challenging to implement in educational…
Descriptors: Feedback (Response), Taxonomy, Data Analysis, Middle School Mathematics
Butuner, Resul; Calp, M. Hanefi – International Journal of Assessment Tools in Education, 2022
Many institutions in the field of education have been involved in distance education with the learning management system. In this context, there has been a rapid increase in data in the e-learning process as a result of the development of technology and the widespread use of the internet. This increase is in the size of large data. Today, big data…
Descriptors: Distance Education, Academic Achievement, Data Collection, Data Analysis
Krasodomska, Joanna; Godawska, Justyna – Accounting Education, 2021
In this study, we examined the relationship between university students' engagement in a blended learning course and their performance. We also explored the roles which gender and nationality may play in the learning process. Our sample consisted of 335 students of International Accounting course. We used 23,796 student access computer logs as a…
Descriptors: Accounting, Electronic Learning, Correlation, Blended Learning
Abdulkadir Palanci; Rabia Meryem Yilmaz; Zeynep Turan – Education and Information Technologies, 2024
This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…
Descriptors: Learning Analytics, Distance Education, Educational Trends, Periodicals
Wu, Jiun-Yu; Liao, Chen-Hsuan; Cheng, Tzuying; Nian, Mei-Wen – Educational Technology & Society, 2021
Amid the pandemic of coronavirus diseases, virtual conferences have become an alternative way to maintain the prosperity of the research community. This study investigated attendees' participatory behavior in a virtual academic conference (TWELF2020, Taiwan) and studied the interrelationship among their mastery experience, competence, and…
Descriptors: Data Analysis, Behavior Patterns, Psychological Patterns, Videoconferencing
Strang, Kenneth David – International Journal of Web-Based Learning and Teaching Technologies, 2017
The premise for this study was that learner interaction in an online web-based course could be assessed in relation to academic performance, or in other words, e-learning. Although some studies reveal that learner interaction with online content is related to student academic performance, it remains unproven whether this is casual, or even if…
Descriptors: Interaction, Online Courses, Web Based Instruction, Academic Achievement
Horikoshi, Izumi; Noguchi, Masato; Tamura, Yasuhisa – International Association for Development of the Information Society, 2016
In this paper, the authors attempted to evaluate design of leaning units with use of Learning Analytics technique on page flip information. Traditional formative assessment has been carried out by giving assignments and evaluating their results. However, the information that teacher can get from the evaluation is limited and coarse-grained. The…
Descriptors: Electronic Learning, Data, Data Analysis, Learning Processes
Phelan, Nigel; Davy, Shane; O'Keeffe, Gerard W.; Barry, Denis S. – Anatomical Sciences Education, 2017
The role of e-learning platforms in anatomy education continues to expand as self-directed learning is promoted in higher education. Although a wide range of e-learning resources are available, determining student use of non-academic internet resources requires novel approaches. One such approach that may be useful is the Google Trends© web…
Descriptors: Anatomy, Electronic Learning, Higher Education, Internet
Guo, Hongwen – ETS Research Report Series, 2017
Data collected from online learning and tutoring systems for individual students showed strong autocorrelation or dependence because of content connection, knowledge-based dependency, or persistence of learning behavior. When the response data show little dependence or negative autocorrelations for individual students, it is suspected that…
Descriptors: Data Collection, Electronic Learning, Intelligent Tutoring Systems, Information Utilization
Mahajan, Renuka; Sodhi, J. S.; Mahajan, Vishal – Education and Information Technologies, 2016
An important research area in education and technology is how the learners use e-learning. By exploring the various factors and relationships between them, we can get an insight into the learners' behaviors for delivering tailored e-content required by them. Although many tools exist to record detailed navigational activities, they don't explore…
Descriptors: Electronic Learning, Case Studies, Use Studies, Data Analysis
Salley, Witt; Shaw, Melanie – Online Journal of Distance Learning Administration, 2015
A continued need exists for community college administrators to develop and implement strategies to ensure sufficient staffing to meet demand for online courses and promote student success. The problem this study addressed was threefold. First, online instructors in the local setting are overextended and are consequently unable to implement best…
Descriptors: Community Colleges, Electronic Learning, Online Courses, Employment Level
Taki, Saeed – Journal of Research in Reading, 2016
This study aimed to explore whether first-language (L1) readers of different language backgrounds would employ similar metacognitive online reading strategies and whether reading online in a second language (L2) could be influenced by L1 reading strategies. To this end, 52 Canadian college students as English L1 readers and 38 Iranian university…
Descriptors: Foreign Countries, College Students, Metacognition, Electronic Learning
Sarrab, Mohamed; Al Shibli, Ibtisam; Badursha, Nabeela – International Review of Research in Open and Distributed Learning, 2016
Mobile learning (M-learning) provides a new learning channel in which learners can access content and just in time information as required irrespective of the time and location. Even though M-learning is fast evolving in many regions of the world, research addressing the driving factors of M-learning adoption is in short supply. This article…
Descriptors: Foreign Countries, Electronic Learning, Adoption (Ideas), Higher Education
Miller, L. Dee; Soh, Leen-Kiat; Samal, Ashok; Kupzyk, Kevin; Nugent, Gwen – Journal of Educational Data Mining, 2015
Learning objects (LOs) are important online resources for both learners and instructors and usage for LOs is growing. Automatic LO tracking collects large amounts of metadata about individual students as well as data aggregated across courses, learning objects, and other demographic characteristics (e.g. gender). The challenge becomes identifying…
Descriptors: Comparative Analysis, Data Analysis, Hierarchical Linear Modeling, Electronic Learning

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