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Osipenko, Maria – Education and Information Technologies, 2022
A data-driven model where individual learning behavior is a linear combination of certain stylized learning patterns scaled by learners' affinities is proposed. The absorption of stylized behavior through the affinities constitutes "building blocks" in the model. Non-negative matrix factorization is employed to extract common learning…
Descriptors: Behavior Patterns, Models, Undergraduate Students, Preferences
Melvin Prince; Emma Wang – Journal of Further and Higher Education, 2024
Past studies of academic dishonesty typically have been grounded in the theory of planned behaviour. Key predictors of academic dishonesty variables under this framework generally have been attitudes towards academic dishonesty, the impact of peer pressure to engage in such acts, and individual perceptions of related acts. However, planned…
Descriptors: Integrity, Cheating, Ethics, Student Behavior
Liu, Yan; Deng, Lisa; Lin, Lin; Gu, Xiaoqing – Interactive Learning Environments, 2023
With the rapid development of mobile devices and web-based technologies, it becomes common for students to switch between different tasks during study time. However, it remains unclear how the transition between on-task and off-task states happens and how digital devices affect the process. This study examines college students' independent study…
Descriptors: Independent Study, Student Behavior, Behavior Patterns, Time on Task
Gökhan Akçapinar; Erkan Er; Alper Bayazit – International Review of Research in Open and Distributed Learning, 2024
Lecture capture videos, a popular type of instructional content used by instructors to share course recordings online, play a significant role in educational settings. Compared to other educational videos, these recordings require minimal time and effort to produce, making them a preferred choice for disseminating course materials. Despite their…
Descriptors: Learner Engagement, Video Technology, Lecture Method, Student Behavior
Shuai He; Yu Lu – Interactive Learning Environments, 2024
Currently, generative AI has undergone rapid development. Numerous studies have attested to the benefits of Gen AI in programming, mathematics and other disciplines. However, since Gen AI mostly uses English as the intrinsic training parameter, it is more effective in facilitating the teaching of courses that use international common notation, but…
Descriptors: Instructional Effectiveness, Technology Uses in Education, Artificial Intelligence, Humanities Instruction
Xu Du; Lizhao Zhang; Jui-Long Hung; Hao Li; Hengtao Tang; Miao Dai – Journal of Computing in Higher Education, 2024
This study aims to track college students' on-task rate during the teaching process and to analyze the influence of instructional strategies on on-task rate through the aspects of observable and internal engagement indicators. Thirty-six undergraduate students at a higher education institution in China participated in the study. Students'…
Descriptors: Teaching Methods, Attention Control, Brain Hemisphere Functions, Diagnostic Tests
Zheng, Lanqin; Zhong, Lu; Niu, Jiayu – Assessment & Evaluation in Higher Education, 2022
Learning analytics has been widely used in the field of education. Most studies have adopted a learning analytics dashboard to present data on learning processes or learning outcomes. However, only presenting learning analytics results was not sufficient and lacked personalised feedback. In response to these gaps, this study proposed a learning…
Descriptors: Electronic Learning, Cooperative Learning, Undergraduate Students, Feedback (Response)
Chen, Changsheng; Meng, Xiangzeng – International Journal of Distance Education Technologies, 2021
As a supplement to face-to-face teaching, small private online courses (SPOCs) have become increasingly popular in higher education. Nevertheless, there is a lack of research on behavioral patterns in the university SPOC. This empirical study investigates the behavioral patterns of 306 undergraduate students taking a degree course partially taught…
Descriptors: Student Behavior, Behavior Patterns, Outcomes of Education, Online Courses
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
Samuolis, Jessica; Loser, Ashley; Tyrrell, Amanda – Journal of Drug Education, 2018
The current study examined negative affect as a moderator of the relationships between protective behavioral strategies (PBS) used to reduce alcohol-related risk and alcohol use outcomes. Data were obtained from 267 college students using a web-based survey. The use of PBS (i.e., setting a limit on number of drinks, alternating drinks with water,…
Descriptors: Drinking, Student Behavior, Behavior Patterns, Risk
Nguyen, Huu Thanh Minh – TESL-EJ, 2023
Understanding the IELTS washback on learning in English as a Foreign Language (EFL) in higher education contexts remains limited. To fill in this research gap, this study investigated washback effects of the International English Language Testing System (hereafter called IELTS) as an English language proficiency exit test for final-year English…
Descriptors: Testing Problems, English (Second Language), Second Language Learning, Second Language Instruction
Chung, Cheng-Yu; Hsiao, I-Han – International Educational Data Mining Society, 2021
The distributed practice effect suggests that students retain learning content better when they pace their practice over time. The key factors are practice dosage (intensity) and timing (when to practice and how in between). Inspired by the thriving development of image recognition, this study adopts one of the successful techniques,…
Descriptors: Models, Drills (Practice), Pacing, Computer Uses in Education
AlKhudari, Majed Numan – International Journal of Education in Mathematics, Science and Technology, 2023
Social media networks have become a prominent role in forming social relations, especially among university students, the transmission of information, the circulation of data, and the spread of topics among students and all members of society. In addition, these networks reflect how people think, their lifestyles, and what issues they think about.…
Descriptors: Social Media, Undergraduate Students, Foreign Countries, Social Networks
Khanum, Almas; Bashir, Faiza – SAGE Open, 2021
The study investigates the current state of information demands and the information-seeking behavior of Urdu literary students using digital technologies. Another purpose of the study was to determine the level of satisfaction with both the existing facilities and resources. A quantitative survey method of research is used to achieve the study's…
Descriptors: Information Seeking, Technological Literacy, Urdu, Literature
Tekin, Isil; Aydin, Selami – International Journal of Adult Education and Technology, 2022
Well-being is vital for university students regarding their short-term aims and long-term benefits in their academic, social, and professional lives. It is also evident that Instagram usage may relate to their well-being regarding relationships, connectedness, loneliness, interactions, socialization, social comparison, and emotional contagion.…
Descriptors: Well Being, Social Media, Student Behavior, Undergraduate Students