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Gisu Sanem Öztas; Gökhan Akçapinar – Educational Technology & Society, 2025
This study aimed to develop a prediction model to classify students based on their academic procrastination tendencies, which were measured and classified as low and high using a self-report tool developed based on the students' assignment submission behaviours logged in the learning management system's database. The students' temporal learning…
Descriptors: Time Management, Student Behavior, Online Courses, Learning Management Systems
Ernesto Panadero; Alazne Fernández Ortube; Rebecca Krebs; Julian Roelle – Assessment & Evaluation in Higher Education, 2025
Rubrics play a crucial role in shaping educational assessment, providing clear criteria for both teaching and learning. The advent of online rubric platforms has the potential to significantly enhance the effectiveness of rubrics in educational contexts, offering innovative features for assessment and feedback through the creation of erubrics.…
Descriptors: Scoring Rubrics, Teaching Methods, Learning Processes, Feedback (Response)
Ozan Rasit Yürüm; Tugba Taskaya-Temizel; Soner Yildirim – Technology, Knowledge and Learning, 2024
The purpose of this study was to investigate the use of predictive video analytics in online courses in the literature. A systematic literature review was performed based on a hybrid search strategy that included both database searching and backward snowballing. In total, 77 related publications published between 2011 and April 2023 were…
Descriptors: Literature Reviews, Distance Education, Online Courses, Video Technology
Pierce, Dennis – Community College Journal, 2023
As community colleges create or enhance their online learning programs, campus leaders must find ways to make these experiences equitable for all students, so that everyone has a fair chance at success. Colleges are using a wide array of innovative strategies to do this. These methods include designing online courses with inclusion in mind,…
Descriptors: Equal Education, Electronic Learning, School Orientation, Learning Management Systems
Nuo Cheng; Wei Zhao; Xiaoqing Xu; Hongxia Liu; Jinhong Tao – Education and Information Technologies, 2024
Learning analytics dashboards are becoming increasingly common tools for providing feedback to learners. However, there is limited empirical evidence regarding the effects of learning analytics dashboard design features on learners' cognitive load, particularly in digital learning environments. To address this gap, we developed goal-based,…
Descriptors: Learning Analytics, Learning Management Systems, Cognitive Ability, Online Courses
Jamie L. McWilliams – ProQuest LLC, 2024
The purpose of this qualitative descriptive study was to explore how teachers in a K-12 grade classroom setting describe their learning management system (LMS) training for performance expectancy, effort expectancy, social influence, and facilitating conditions in an online classroom environment in schools across Arizona. The theoretical framework…
Descriptors: Elementary Secondary Education, Learning Management Systems, Teacher Attitudes, Faculty Development
Pål Anders Opdal – Discover Education, 2025
In the wake of the COVID-pandemic, and from the perspective of analytical philosophy of education, this paper investigates into, and discusses, costs and benefits to online teaching in higher education. Contrasting old and new ways of teaching, notions that are developed below, notable results in the paper are the following: a) even if expedient,…
Descriptors: Distance Education, Teaching Experience, Teaching (Occupation), Online Courses
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
Shavneet Sharma; Gurmeet Singh; Biman Prasad; Mohammed J. Hussein – Education and Information Technologies, 2024
Students' commitment to online collaborative learning poses a significant challenge for higher education institutions. This study explores the factors that affect students' commitment to Learning Management System (LMS) groups. A conceptual framework is developed that integrates social identity theory, DeLone and McLean's information systems…
Descriptors: Learning Management Systems, Educational Quality, Student Attitudes, Behavior Standards
Hui Han; Silvana Trimi – Education and Information Technologies, 2024
Cloud computing-based online education has played a vital role in enabling uninterrupted learning during crises such as the COVID-19 pandemic. This study explored the key variables associated with cloud computing that can effectively support the operation of online education platforms. By analyzing real data from 63 online learning platforms, the…
Descriptors: Computer Software, Learning Management Systems, Online Courses, Correlation
Wawan Krismanto; Ahmad Syawaluddin; Sayidiman; Muhammad Irfan – Journal of Learning for Development, 2024
The COVID-19 pandemic has caused a rapid transformation of Teacher Professional Education (TPE) in Indonesia from face-to-face to online. Although the programme is run online, learning activities, namely collaborative learning among programme participants, practitioners, and experts, are increasingly being encouraged. This study attempts to…
Descriptors: Foreign Countries, Online Courses, Cooperative Learning, Faculty Development
Using Analytics to Predict Students' Interactions with Learning Management Systems in Online Courses
Ali Alshammari – Education and Information Technologies, 2024
In online education, it is widely recognized that interaction and engagement have an impact on students' academic performance. While previous research has extensively explored interactions between students, instructors, and content, there has been limited exploration of course design elements that promote the fourth type of interaction:…
Descriptors: Learning Analytics, Learning Management Systems, Academic Achievement, Correlation
Duan, Lian; Song, Hongbo; Huang, Xiaoshan; Lin, Weihan; Jiang, Yan; Wang, Xingheng; Wu, Yihua – Information and Learning Sciences, 2023
Purpose: The study examined the impact of feedback types through a learning management system (LMS) on employees' training performance. The purpose of this study is to establish effective feedback on advanced technologies for promoting corporate training. Design/methodology/approach: A total of 148 trainees were recruited from a multinational…
Descriptors: Feedback (Response), Employees, Goal Orientation, Online Courses
Rachel Gurvitch; Gi-Cheol Kim – International Journal of Kinesiology in Higher Education, 2023
The quality of interaction is an essential factor leading to learner satisfaction, academic achievement, learner engagement, and a positive attitude toward distance education. The purpose of this study is to examine different types of interactions within online kinesiology courses. Adopting a multiple case study design with a mixed-methods…
Descriptors: Kinesiology, Online Courses, Learning Experience, Distance Education