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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
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María Camila Corredor Valderrama; Damian Sebastian de Ruiz Sandoval; Sandra Mateus Gómez – Electronic Journal of Research in Educational Psychology, 2025
Introduction: There is evidence of the relationship between the academic achievement of university students and the learning styles and strategies they use. However, there are inconsistencies between the results of the different studies on the topic, making it difficult to identifying a profile that would allow the prediction of high academic…
Descriptors: Academic Achievement, College Students, Predictor Variables, Cognitive Style
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Eman Alzaanin – Australian Journal of Applied Linguistics, 2025
This study examines the relationship of achievement emotions to academic performance and to learning styles in English as a Foreign Language (EFL) learners, a largely unexplored area of research. Employing a quantitative research design, 300 participants from the Applied College at a public university completed an adapted version of the…
Descriptors: English (Second Language), Second Language Learning, Academic Achievement, Student Attitudes
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Boli Li; Jenene Burke; Margaret Plunkett – Asia Pacific Journal of Education, 2025
Despite the COVID-19 pandemic, Chinese international students (CIS) still comprise the largest international cohort in Australian universities. However, limited research has examined perceptions of CIS' learning approaches in Australian universities from the broader context of the students themselves and their Australian lecturers. This study…
Descriptors: Foreign Countries, Foreign Students, Universities, College Students
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Yuting Mao; Jian-E Peng – Asia-Pacific Education Researcher, 2024
The practice of English-medium instruction (EMI) is increasing worldwide. While various obstacles and challenges facing EMI have been reported, little is known about the learning strategies employed by students to cope with EMI courses, especially among students of different disciplines. This study investigated the strategies used by students in…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, College Students
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Ridvan Kenanoglu; Mustafa Kahyaoglu – Malaysian Online Journal of Educational Technology, 2024
The aim of this study is to investigate the relations between secondary education students' learning styles and their use of social networks. The samples of the research designed by relational screening model consist of 1281 students reached by convenient sampling method, one of the non-probability sampling methods. In this study, "Kolb's…
Descriptors: Foreign Countries, College Students, Social Networks, Cognitive Style
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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
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Smarandache, Izabella G.; Maricutoiu, Laurentiu P.; Ilie, Marian D.; Iancu, Daniel E.; Mladenovici, Velibor – Higher Education Research and Development, 2022
Existing science evidence sustained that students' preferences for a learning approach (i.e., deep or surface learning) depend on several contextual variables. In this study, we used the network psychometrics perspective to investigate the interactions between the elements that define students' learning preferences. We aimed to understand which…
Descriptors: Student Behavior, College Students, Learning Strategies, Cognitive Style
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Li, Boli; Burke, Jenene; Plunkett, Margaret – Issues in Educational Research, 2022
Despite the COVID-19 pandemic, Chinese international students (CIS) still constitute the largest international population in Australian higher education. Yet limited research has examined the lived learning experience of CIS and local students in Australian universities. Underpinned by Biggs, Kember and Leung's (2001) 3P model of learning, this…
Descriptors: Foreign Students, College Students, Asians, Foreign Countries
Koc, Hayri; Arslan, Coskun – Online Submission, 2022
This study investigated the mediating role of loneliness in the relationship between maladaptive thinking styles and emotional expressivity. Participants were 1042 [776 (%74.5) female and 266 (%25.5) male, range age = 17-28, M age = 20.02, SD age = 1.69] young adults enrolled at university. "Berkeley Expressivity Scale" to determine…
Descriptors: Psychological Patterns, Emotional Response, College Students, Cognitive Style
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Ji Won You – Studies in Higher Education, 2024
Team project-based learning has become increasingly common in higher education. This study aimed to characterise and understand students' team learning experiences in team project-based learning by considering various aspects, such as individual qualities, teamwork, task, and instructor support. K-means clustering analysis was performed using…
Descriptors: Cooperative Learning, Profiles, Outcomes of Education, Student Projects
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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
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Lubna; Suhirman; Saiful Prayogi – Journal of Education and e-Learning Research, 2023
The advent of digital technology has brought about a transformation in the field of education, from traditional face-to-face learning to distance learning. Despite this shift, it is important to prioritize the development of STEM (Science, Technology, Engineering, and Math) students' critical thinking (CT) abilities as an essential skill for…
Descriptors: STEM Education, Critical Thinking, Thinking Skills, Cognitive Style
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Erum Ashraf; Selvakumar Manickam; Khurrum Mahmood; Shams Ul Arfeen Laghari; Amber Baig – Journal of Educators Online, 2025
The recommendation of courses in an online educational system is done using different factors that include course length, duration, and learning material information. The course design is based on the instructor's teaching style, which may not necessarily correspond with the various learning preferences of students. Matching the learning style of…
Descriptors: Online Courses, Electronic Learning, Cognitive Style, Teaching Styles
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Iesyah Rodliyah; I Ketut Budayasa; Siti Khabibah – Educational Process: International Journal, 2025
Background/purpose: This study aims to examine the inferential statistical literacy of mathematics education students based on their cognitive styles--field-dependent (FD) and field-independent (FI). Inferential statistical literacy involves not only understanding statistical concepts such as hypothesis testing and parameter estimation but also…
Descriptors: Foreign Countries, Statistics Education, Mathematics Education, Cognitive Style
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