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Chaw, Lee Yen; Tang, Chun Meng – Electronic Journal of e-Learning, 2023
In addition to a face-to-face classroom learning environment, today's learners in higher education are likely to have also experienced a blended learning or an online learning environment. These learning environments not only differ in their delivery modes, but also learning activities, class interactions, assessment approaches, etc. Learners tend…
Descriptors: Student Attitudes, Educational Environment, College Students, In Person Learning
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Hsu, Ting-Chia; Chen, Wen-Li; Hwang, Gwo-Jen – Interactive Learning Environments, 2023
In this study, a peer assessment-based mobile learning approach was implemented and evaluated in a vocational design certification course. A quasi-experiment was conducted to explore the impact of the proposed approach on the learning achievements and motivations of the students with active and reflective styles. It was found that the students…
Descriptors: Peer Evaluation, Cognitive Style, Electronic Learning, Academic Achievement
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Vui-Yee Koon – Interactive Learning Environments, 2023
Scientific research on mobile learning and its implications on humanistic education has grown tremendously. Within the context of an overview of its forerunners (i.e. educational technology) and critical characteristics concerning the humanistic perspective in education, bibliometric findings on mobile learning publications in humanistic education…
Descriptors: Journal Articles, Electronic Learning, Humanistic Education, Bibliometrics
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Qin Ni; Yifei Mi; Yonghe Wu; Liang He; Yuhui Xu; Bo Zhang – IEEE Transactions on Learning Technologies, 2024
Learning style recognition is an indispensable part of achieving personalized learning in online learning systems. The traditional inventory method for learning style identification faces the limitations such as subject and static characteristics. Therefore, an automatic and reliable learning style recognition mechanism is designed in this…
Descriptors: Cognitive Style, Electronic Learning, Prediction, Identification
Annetta R. Dolowitz – ProQuest LLC, 2024
Since 2010, gamification, a concept and practice, gained attention in academic research. Results of its effectiveness were mixed and often lacked the use of grounded models or frameworks. Dichev et al. (2019b) proposed the existence of demotivational factors and highlighted two distinct sets of motivational drivers--one linked to game elements and…
Descriptors: Student Participation, Student Motivation, Gamification, Learning Activities
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Khan, Nasreen; Sarwar, Abdullah; Chen, Tan Booi; Khan, Shereen – Knowledge Management & E-Learning, 2022
The remarkable advancements in technology have affected the way people engage, work, and learn. Digital literacy, also known as virtual learning, has the potential to improve lifelong learning. Workplace skills evolve at such a rapid pace that no school system can keep up with the continual need to alter how we work and live. Most crucially, our…
Descriptors: Technological Literacy, Higher Education, Labor Force, Electronic Learning
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O. S. Adewale; O. C. Agbonifo; E. O. Ibam; A. I. Makinde; O. K. Boyinbode; B. A. Ojokoh; O. Olabode; M. S. Omirin; S. O. Olatunji – Interactive Learning Environments, 2024
With the advent of technological advancement in learning, such as context-awareness, ubiquity and personalisation, various innovations in teaching and learning have led to improved learning. This research paper aims to develop a system that supports personalised learning through adaptive content, adaptive learning path and context awareness to…
Descriptors: Cognitive Style, Individualized Instruction, Learning Processes, Preferences
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Müslüm Atas; Helmut Lindner; Thomas Strametz; Fatima Jammoul; Johannes Feiner; Antonius Metry Saad – International Association for Development of the Information Society, 2024
With the rapid growth of digital education, e-learning has become essential for offering accessible and flexible learning opportunities. This paper investigates strategies to achieve long-term learning outcomes and reduce study time in e-learning. It explores various techniques, including self-testing, spaced repetition, and the serial position…
Descriptors: Electronic Learning, Time on Task, Memory, Learning Strategies
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Jr Emerson Rogério de Oliveira; Adriano Pasqualotti – Interactive Learning Environments, 2024
E-learning is the direct result of the integration between technology and education. The lifelong learning process for older people should consider employing e-learning activities. The objective of this work was to identify the pedagogical processes involved in e-learning activities in learning environments used by elderly people. The literature…
Descriptors: Older Adults, Electronic Learning, Technology Uses in Education, Access to Education
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Elly Astuti; Elana Era Yusdita – Cogent Education, 2024
E-Learning is a means to support the digitalization of education that accommodates students' learning needs anytime and anywhere. The use of E-learning in higher education has become increasingly massive since the COVID-19 pandemic. Higher education institutions accommodate students' learning needs by utilizing self-developed LMS (Learning…
Descriptors: Foreign Countries, Higher Education, Electronic Learning, Learning Management Systems
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Looi, Kim Hoe – Knowledge Management & E-Learning, 2023
e-Learning was abruptly adopted in many countries to mitigate the adverse consequences of the sudden closure of institutions of higher learning caused by the COVID-19 pandemic. Against this background, this study investigated how business undergraduates want to learn in the future and predictors of their future preferred mode of learning. 251…
Descriptors: Undergraduate Students, Student Attitudes, Cognitive Style, Teaching Methods
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Mustapha Riad; Mohammed Qbadou; Es-Saâdia Aoula; Soukaina Gouraguine – Journal of Education and Learning (EduLearn), 2023
E-learning has increased in popularity, especially during the COVID-19, due to its numerous advantages that allow learners to study anywhere and anytime. Therefore, recommending a list of the most appropriate learning objects for learners according to their specific needs is a great challenge for adaptive e-learning systems. In an e-learning…
Descriptors: Electronic Learning, COVID-19, Pandemics, Cognitive Style
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Obeng, Asare Yaw – Cogent Education, 2023
The learning processes have been significantly impacted by technology. Numerous learners have adopted technology-based learning systems as the preferred form of learning. It is then necessary to identify the learning styles of learners to deliver appropriate resources, engage them, increase their motivation, and enhance their satisfaction and…
Descriptors: Predictor Variables, Cognitive Style, Electronic Learning, College Freshmen
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Yang An; Yushi Duan; Yuchen Zhang – International Journal of Information and Communication Technology Education, 2024
Higher education informatization (HEI) is an interdisciplinary field that examines the use and integration of information and communication technologies (ICTs) in higher education. This paper provides a bibliometric and visual analysis of the research trends, patterns, and topics in this field. Using the Web of Science database, the authors…
Descriptors: Bibliometrics, Educational Research, Higher Education, Information Technology
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Çebi, Ayça; Araújo, Rafael D.; Brusilovsky, Peter – Journal of Research on Technology in Education, 2023
Online learning systems allow learners to freely access learning contents and record their interactions throughout their engagement with the content. By using data mining techniques on the student log data of those systems, it is possible to examine learning behavior and reveal navigation patterns through learning contents. This study was aimed at…
Descriptors: Individual Characteristics, Electronic Learning, Student Behavior, Learning Management Systems
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