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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
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
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
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
Yang, Tzu-Chi; Chen, Sherry Y. – Interactive Learning Environments, 2023
Individual differences exist among learners. Among various individual differences, cognitive styles can strongly predict learners' learning behavior. Therefore, cognitive styles are essential for the design of online learning. There are a variety of cognitive style dimensions and overlaps exist among these dimensions. In particular, Witkin's field…
Descriptors: Student Behavior, Educational Technology, Electronic Learning, Cognitive Style
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
Mann, Wolfgang; O'Neill, Rachel; Watkins, Freya; Thompson, Robin L. – Deafness & Education International, 2023
This pilot study explored effects of hearing loss on deaf children's reading comprehension in an online context. Eighteen deaf secondary students, ages 12-14 years (11 with British Sign Language as their dominant language, seven with English as their dominant language) engaged in an online research comprehension task. Six age-matched hearing…
Descriptors: Reading Skills, Deafness, Reading Comprehension, Secondary School Students
Hong, Jon-Chao; Hwang, Ming-Yueh; Hsu, Hui-Ting; Tai, Kai-Hsin – Journal of Research on Technology in Education, 2023
Gestalt perception relates to inferring a holistic scene from separate elements. Using this theory, an application game named Gestalt Puzzle was designed for students to play by recognizing a few parts of an image to reason the whole image of a particular object. Cognitive style can be divided into field independence (FI) and field dependence (FD)…
Descriptors: Game Based Learning, Self Efficacy, Anxiety, Cognitive Style
Harris, Lois; Dargusch, Joanne; Ames, Kate; Bloomfield, Corey – International Journal of Inclusive Education, 2022
Compulsory distance education has always sought to be inclusive, providing educational opportunities for K-12 students unable to attend mainstream, face-to-face schools for medical, geographical, or personal reasons. However, how to effectively engage these diverse learners has remained a perpetual challenge, with a need for further investigation…
Descriptors: Foreign Countries, Elementary Secondary Education, Student Diversity, Cognitive Style
Movchun, Vasily; Lushkov, Richard; Pronkin, Nikolay – Education and Information Technologies, 2021
The aim of the article is to study the prediction model of an individual learning style in e-learning systems to enhance the effectiveness of dentistry education. In developing the model, Neil Fleming's VARK concept of information perception was applied. The statistical data of the Russian Federal State Statistics Service on the students'…
Descriptors: Foreign Countries, Medical Students, Graduate Students, Dentistry
Evendi, Erpin; Al Kusaeri, Al Kusaeri; Pardi, M. Habib Husnial; Sucipto, Lalu; Bayani, Faizul; Prayogi, Saiful – EURASIA Journal of Mathematics, Science and Technology Education, 2022
The digitalization system that continues to roll has brought changes to the learning system, where face-to-face learning is replaced by an online system. On the one hand, learning experiences to acquire critical thinking (CT) skills as one of the essential skills of the 21st century must also be encouraged. The objective of this study is to assess…
Descriptors: Critical Thinking, Thinking Skills, Cognitive Tests, Cognitive Style
Ahmed Shehata; Mustafa Ali Khalaf; Khalfan Al-Hijji; Nour Eldin Osman – Journal of Education and e-Learning Research, 2023
Shifting to an e-learning style forced students to learn many skills and competencies to benefit from their experience in an e-learning environment. Ethical competencies play a crucial role in ensuring the fairness of students' assessments and the overall educational process. During the COVID-19 pandemic, the research used a questionnaire to…
Descriptors: Ethics, Information Science Education, Electronic Learning, Knowledge Level
Michal Cerný – Journal of Educators Online, 2023
This study is a mixed design study on a sample of 87 respondents to a questionnaire in the Information Studies and Library Science program in Brno that identifies their attitudes towards hybrid teaching. Hybrid teaching is understood as synchronous education with the choice of participating in an online or face-to-face educational session. The…
Descriptors: Foreign Countries, Library Science, Information Science Education, Graduate Students