Publication Date
In 2025 | 0 |
Since 2024 | 7 |
Since 2021 (last 5 years) | 13 |
Since 2016 (last 10 years) | 23 |
Since 2006 (last 20 years) | 44 |
Descriptor
Source
Author
Publication Type
Education Level
Higher Education | 38 |
Postsecondary Education | 26 |
Elementary Secondary Education | 4 |
Early Childhood Education | 2 |
Elementary Education | 2 |
Kindergarten | 1 |
Preschool Education | 1 |
Primary Education | 1 |
Two Year Colleges | 1 |
Audience
Location
Turkey | 4 |
United Kingdom | 4 |
Australia | 3 |
Florida | 3 |
United States | 3 |
Canada | 2 |
China | 2 |
Egypt | 2 |
Indonesia | 2 |
Netherlands | 2 |
Ohio | 2 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Rosenberg Self Esteem Scale | 1 |
Study Process Questionnaire | 1 |
What Works Clearinghouse Rating
Bulut, Okan; Gorgun, Guher; Yildirim-Erbasli, Seyma N.; Wongvorachan, Tarid; Daniels, Lia M.; Gao, Yizhu; Lai, Ka Wing; Shin, Jinnie – British Journal of Educational Technology, 2023
As universities around the world have begun to use learning management systems (LMSs), more learning data have become available to gain deeper insights into students' learning processes and make data-driven decisions to improve student learning. With the availability of rich data extracted from the LMS, researchers have turned much of their…
Descriptors: Formative Evaluation, Learning Analytics, Models, Learning Management Systems
Hoa-Huy Nguyen; Kien Do Trung; Loc Nguyen Duc; Long Dang Hoang; Phong Tran Ba; Viet Anh Nguyen – Education and Information Technologies, 2024
This article presents the results of an experiment in personalizing course content and learning activity model tailored for online courses based on students' learning styles. The main research objectives are to design and pilot a model to determine students' learning styles to create personalized online courses. The study also addressed an…
Descriptors: Models, Online Courses, Cognitive Style, Classification
Thuy Dung Pham Thi; Nam Tien Duong – Education and Information Technologies, 2024
With the explosive growth of various applications on the Internet, higher education institutions have advocated distance learning courses, making research on online learning increasingly important. This study attempts to emphasize the characteristics of instruction in online learning systems, using the Theory of Planned Behavior. Two groups of…
Descriptors: Electronic Learning, College Students, Behavior Theories, Intention
Sonja Kleter; Uwe Matzat; Rianne Conijn – IEEE Transactions on Learning Technologies, 2024
Much of learning analytics research has focused on factors influencing model generalizability of predictive models for academic performance. The degree of model generalizability across courses may depend on aspects, such as the similarity of the course setup, course material, the student cohort, or the teacher. Which of these contextual factors…
Descriptors: Prediction, Models, Academic Achievement, Learning Analytics
Olga Ovtšarenko – Discover Education, 2024
Machine learning (ML) methods are among the most promising technologies with wide-ranging research opportunities, particularly in the field of education, where they can be used to enhance student learning outcomes. This study explores the potential of machine learning algorithms to build and train models using log data from the "3D…
Descriptors: Artificial Intelligence, Algorithms, Technology Uses in Education, Opportunities
Roni Herdianto; Punaji Setyosari; Dedi Kuswandi; Aji Prasetya Wibawa – Electronic Journal of e-Learning, 2024
Doctoral students require scientific writing skills and appropriate learning media assistance to meet publication requirements in distinguished journals. This investigation evaluates the efficacy of Moodle and OJS in teaching dissertation proposals, based on the experiences of engineering doctoral students, to provide suggestions for the optimal…
Descriptors: Academic Language, Writing Instruction, Doctoral Students, Doctoral Dissertations
Tran, Tuan M.; Hasegawa, Shinobu – International Association for Development of the Information Society, 2022
A learner model reflects learning patterns and characteristics of a learner. A learner model with learning history and its effectiveness plays a significant role in supporting a learner's understanding of their strengths and weaknesses of their way of learning in order to make proper adjustments for improvement. Nowadays, learners have been…
Descriptors: Markov Processes, Learning Processes, Models, Scores
Haci Mustafa Dönmez; Onur Ergünay; Funda Ergüleç; Hakan Yildirim; Zeynep Yurtseven-Avci – International Journal of Designs for Learning, 2022
The purpose of this design case is to report on the design of a course template to be used for institutional training at a public university in Turkey and to be published on the in-house learning management system of the university. Following a detailed description of the design context, the step-by-step design process is explained in detail with…
Descriptors: Foreign Countries, Program Design, Models, Public Colleges
Andreja Istenic – Discover Education, 2024
Blended learning sets solid foundations for the utilization of educational technology in authentic student learning experiences within traditional educational contexts as well as in distance education. The author introduces an integrated and distributed model of blended learning, utilizing educational technology for authentic student learning…
Descriptors: Blended Learning, Teaching Methods, Higher Education, Models
Adam Wong; Edmund Wut – International Association for Development of the Information Society, 2022
As lessons were forced to switch to online or hybrid mode during COVID-19, educators need to apply tools to foster engagement inside and outside the classroom. Screencasting software enables teachers to evaluate students' learning outcomes in compensation for the lack of face-to-face interactions. This study investigated the use of…
Descriptors: Information Science Education, Information Management, Management Systems, Educational Change
Uto, Masaki; Nguyen, Duc-Thien; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2020
With the wide spread large-scale e-learning environments such as MOOCs, peer assessment has been popularly used to measure the learner ability. When the number of learners increases, peer assessment is often conducted by dividing learners into multiple groups to reduce the learner's assessment workload. However, in such cases, the peer assessment…
Descriptors: Item Response Theory, Electronic Learning, Peer Evaluation, Accuracy
Claudia A. Medlin – ProQuest LLC, 2024
Online learning continues to grow at unprecedented rates. K-12 had more than 275,000 students enrolled in full-time virtual schools in 2011--2012 and over 2 million participating in at least one online course. Despite this growth, there is little research on model formation and model validation for online learning. Two research-based models were…
Descriptors: Reading Instruction, Case Studies, Faculty Development, Kindergarten
M. Earnest Morrow; Dabae Lee – International Journal of Designs for Learning, 2019
Educators are being encouraged to shift their instructional paradigm from teacher-centered to learner-centered through the use of technology. For online courses, legacy learning management products originally designed to support and deliver teacher-centered instruction may represent a constraint to implementing the learner-centered paradigm. Yet,…
Descriptors: Statistics, Online Courses, Teaching Methods, Student Centered Learning
Suttles, George; Byfield, Cyann – Commonfund Institute, 2022
Even before the pandemic, the college/university business model was under scrutiny. With rising tuition costs outpacing living wages, and student debt burdens crippling students, institutions of higher learning were grappling with how to evolve. The COVID-19 pandemic introduced an abundance of obstacles that colleges had to face head on, but they…
Descriptors: Educational Practices, Higher Education, Futures (of Society), Educational Change
McGowan, Ian S. – International Association for Development of the Information Society, 2020
Upto now, the knowledge building influence of the fundamental communicative functions during an on-line collaborative learning (OLCL) session, i.e. argumentative, responsive, elicitative, informative and imperative have been mainly based on results from qualitative studies, results that could have been strengthened by quantitative approaches.…
Descriptors: Higher Education, Online Courses, Cooperative Learning, Computer Science Education