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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
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
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
Muhammad Turmuzi; I Gusti Putu Suharta; I Wayan Puja Astawa; I Nengah Suparta – Journal of Technology and Science Education, 2024
The purpose of this study is to comprehensively describe the results of the analysis of the ability to understand concepts and misconceptions in terms of differences in learning styles, as well as gender differences. The data to be collected in this study is in the form of primary data and secondary data. The primary data is obtained from primary…
Descriptors: Misconceptions, Cognitive Style, Gender Differences, Educational Technology
Chih-Hung Wu; Kai-Di Tang; Kang-Lin Peng; Yueh-Min Huang; Chih-Hsing Liu – Educational Psychology, 2024
Cognitive styles and affective factors are critical factors affecting e-learning performance in this digital era. Learners can enhance their affective learning with a correct cognitive style. This study aims to examine various cognitive styles with effective learning measurement tools through subjective and objective instruments by observing…
Descriptors: Electronic Learning, Cognitive Style, Cognitive Processes, Difficulty Level
Michael Messer Sr. – ProQuest LLC, 2024
Dating back to 1998, researchers established that adults learn differently than younger, recent high school graduates. Even with decades of research on the topic, approximately 39 million American adults have attended college but left school without obtaining a degree. The research questions addressed the purpose of this qualitative exploratory…
Descriptors: Adult Learning, Higher Education, Distance Education, Electronic Learning
Gina Tsz-Ching Lau – ProQuest LLC, 2024
The rise of virtual learning established e-learning as an emerging education delivery method (Jones et al., 2022). One of the barriers to virtual education was the lack of insight into the quality of students' online learning experience. For instance, without an active instructor to clarify the course content, virtual learners viewed instructional…
Descriptors: Online Courses, Mathematics Instruction, Electronic Learning, Educational Practices
Xiang Wu; Huanhuan Wang; Yongting Zhang; Baowen Zou; Huaqing Hong – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…
Descriptors: Artificial Intelligence, Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style
Artemisa R. Dores; Marina Letica-Crepulja; Regina A. Silva – Open Education Studies, 2024
Many professionals are confronted in their practice with clients who show post-traumatic symptoms (PTS). "Trauma-informed practice" helps professionals recognize, understand, and appropriately respond to the effects of trauma. This work presents the "Trauma-Informed Practice for Workers in Public Service Settings" -- TIPS…
Descriptors: Trauma Informed Approach, Public Service Occupations, Employees, Posttraumatic Stress Disorder
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