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Samira Alirezabeigi; Sara Magaraggia – Studies in Philosophy and Education, 2024
Calvino's reflection on "quickness" brings the reader through a zig-zag journey without a predefined destination, crossing the history of literature in order to think about writing and the relationship between physical speed and speed of mind. To discuss quickness as a virtue, Calvino refers to the potentiality of human reasoning and…
Descriptors: Electronic Learning, Acceleration (Education), Abstract Reasoning, Cognitive Processes
Houssam El Aouifi; Mohamed El Hajji; Youssef Es-Saady; Hassan Douzi – IEEE Transactions on Learning Technologies, 2024
Recently, using videos as a learning resource has received a lot of attention and turned widely exploited as an effective learning tool. With the rapid spread of instructional videos, the number of these tools in all disciplines is becoming very high. It is fractious for learners to find video courses adapted to their needs. Recommender system is…
Descriptors: Video Technology, Teaching Methods, Instructional Effectiveness, Cognitive Style
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
How Does a Motivational Gamification Typology Describe Learner Participation in Gamified Activities?
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
Nevcan Aksoy; Mutlu Tahsin Üstündag – Journal of Educational Technology and Online Learning, 2023
Institutions have tended to provide online training and in-service training by using today's technologies due to the increasing number of employees and the increase in the number of in-service trainings to be given. While the number of trainings held in online environments is increasing day by day, it has gained importance to help learners learn…
Descriptors: Electronic Learning, Cognitive Style, Employees, Job Training
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
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
Engin Demir; Huseyin Cevik – Turkish Online Journal of Distance Education, 2025
Students' attitudes towards distance education can be shaped by the compatibility of their learning styles with this new educational environment. The study aimed to investigate whether various variables and e-learning styles predict student's attitudes towards distance education. The present research was conducted on 387 students enrolled in the…
Descriptors: Student Attitudes, Electronic Learning, Educational Technology, Predictor Variables
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
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
Bo Jiang; Yuang Wei; Meijun Gu; Chengjiu Yin – Interactive Learning Environments, 2024
The purpose of this study is to explore students' backtracking patterns in using a digital textbook, reveal the relationship between backtracking behaviors and academic performance as well as learning styles. This study was carried out for 2 semesters on 102 university students and they are required to use a digital textbook system called DITeL to…
Descriptors: Student Behavior, Electronic Learning, Electronic Publishing, Textbooks
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
Sezgin, Sezan – Asian Journal of Distance Education, 2022
Learners with certain personality traits adapt well to different online environments, while others may miss the necessary information for themselves or disappear entirely in the learning process. Therefore, in online learning, understanding the relationships between significant personality traits of learners and potential variables that can…
Descriptors: Preservice Teachers, Electronic Learning, Self Management, Interaction
Sönmez, Selami; Korucuk, Murat – Shanlax International Journal of Education, 2023
In this study, students' e-learning styles (ELS) and attitudes towards online learning were examined. Besides, it was also aimed to reveal the relationship between students' ELS and their attitudes towards online learning. Another of the main aims of the study is; the aim of this study is to explain the effect of university students' e-learning…
Descriptors: Educational Technology, Electronic Learning, Student Attitudes, Cognitive Style
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