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Showing 1 to 15 of 51 results Save | Export
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Emine Cabi – Education and Information Technologies, 2025
Learning Management System (LMS) can track student interactions with digital learning resources during an online learning activity. Learners with different goals, motivations and preferences may exhibit different behaviours when accessing these materials. These different behaviours may further affect their learning performance. The purpose of this…
Descriptors: Academic Achievement, Electronic Learning, Learning Management Systems, Student Behavior
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Shaofeng Wang; Zhuo Sun – Education and Information Technologies, 2025
Artificial Intelligence (AI) is increasingly being integrated into educational settings, with Intelligent Personal Assistants (IPAs) playing a significant role. However, the psychological impact of these AI assistants on fostering active learning behaviors needs to be better understood. This research study addresses this gap by proposing a…
Descriptors: Artificial Intelligence, Active Learning, Redundancy, Role
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Chun Liu – Education and Information Technologies, 2024
The objectives of this work are to investigate the impact of automating the student assessment process using the Schoology web-based learning management system as an example and determine its effectiveness and usability by performing a comparative analysis between the survey results of educators and students. The research methodology is based on…
Descriptors: Foreign Countries, College Faculty, College Students, Learning Management Systems
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Senad Becirovic – Education and Information Technologies, 2024
This study aims to determine the factors influencing the efficient and successful use of LMS among university-level students. A multiperspective approach was performed using TAM3 and ISS framework to achieve the aforementioned aim. The survey was administered to 371 university students. Structural equation modeling (SEM) has been conducted to test…
Descriptors: College Students, Learning Management Systems, Accuracy, User Satisfaction (Information)
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Yifat Davidoff; Wurud Jayusi – Education and Information Technologies, 2025
Higher Education has serious challenges regarding academic online teaching-learning-evaluation methods and tools. This study examined 980 students from diverse disciplines about their social-emotional-psychological (SEP) perceptions. We also examined the presence and desirability of 14 TLE (teaching-learning-evaluation) tools in the online…
Descriptors: Instructional Effectiveness, Electronic Learning, Learning Strategies, Student Attitudes
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Lucas Paulsen; Euan Lindsay – Education and Information Technologies, 2024
This systematic review explores the emerging themes in the design and implementation of student-facing learning analytics dashboards in higher education. Learning Analytics has long been criticised for focusing too much on the analytics, and not enough on the learning. The review is then guided by an interest in whether these dashboards are still…
Descriptors: Learning Analytics, Educational Technology, Learning Processes, College Students
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Chrispus Zacharia Oroni; Fu Xianping – Education and Information Technologies, 2024
This study aims to investigate the role of digital learning platforms (DLP) as a mediator in the relationship between the social media capability (SMC) and academic performance (AP). It explores the individual impacts of SMC and DLP on academic performance. The study employs Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze…
Descriptors: Learning Management Systems, Social Media, Academic Achievement, Construct Validity
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Rafael Alé-Ruiz; Fernando Martínez-Abad; María Teresa del Moral-Marcos – Education and Information Technologies, 2024
The flexible, changing, and uncertain nature of present-day society requires its citizens have new personal, professional, and social competences which exceed the traditional knowledge-based, academic skills imparted in higher education. This study aims to identify those factors associated with active methodologies that predict university…
Descriptors: Learner Engagement, Individualized Instruction, Active Learning, Higher Education
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Meriem Zerkouk; Miloud Mihoubi; Belkacem Chikhaoui; Shengrui Wang – Education and Information Technologies, 2024
School dropout is a significant issue in distance learning, and early detection is crucial for addressing the problem. Our study aims to create a binary classification model that anticipates students' activity levels based on their current achievements and engagement on a Canadian Distance learning Platform. Predicting student dropout, a common…
Descriptors: Artificial Intelligence, Dropouts, Prediction, Distance Education
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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
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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
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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
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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
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Yu-Teng Jang; I-Ting Chiang – Education and Information Technologies, 2024
The study aims to probe the roles of learning desire and persistence in influencing Gen Z learners' continuance intention of using YouTube for learning in digital learning context. Building upon prior research, a research framework with 10 hypotheses was proposed and empirically tested by using Partial Least Squares Structure Equation Modelling…
Descriptors: Age Groups, Learning Management Systems, Teaching Methods, Academic Persistence
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Garbers, Samantha; Crinklaw, Allyson D.; Brown, Adam S.; Russell, Roxanne – Education and Information Technologies, 2023
Digital advances in the learning space have changed the contours of student engagement as well as how it is measured. Learning management systems and other learning technologies now provide information about student behaviors with course materials in the form of learning analytics. In the context of a large, integrated and interdisciplinary Core…
Descriptors: Learner Engagement, Course Content, Graduate Students, Public Health
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