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Franziska Wehrhahn; Robert Gaschler; Fang Zhao – Psychology Learning and Teaching, 2024
Online-only course design has to balance students' needs to experience (1) competence and (2) autonomy as it may affect their motivation. Lecture units can provide structured guidance by being made accessible in a fixed order, or support students' autonomy by providing free access to all lecture units. Online-only courses with lecture units…
Descriptors: Guidance, Asynchronous Communication, Online Courses, Student Attitudes
Ho, Yan Yin; Yeo, Eun-Young; Wijaya, Dhaniah Suhana Binte Mohammad – Journal of Continuing Higher Education, 2023
The increasing number of adult learners in higher education is a trend that has been observed in recent years. An impetus for this trend is the need for upskilling and re-skilling in order to stay relevant and employable in today's world of globalised knowledge. However, finding uninterrupted blocks of time to study in adult learners' busy…
Descriptors: Adult Students, Educational Technology, Undergraduate Students, Learning Activities
Michelle R. Todd – ProQuest LLC, 2021
Video-gaming has become a popular extracurricular option for students in higher education. More than 70 percent of undergraduate students reported they played video-games at some level with heavy-video-gaming students reporting they invest over 14 hours a week on games. When extracurricular activities take 14 or more hours of commitment, students'…
Descriptors: Video Games, Undergraduate Students, Extracurricular Activities, Student Behavior
Sarwar, Muhammad Shabbir; Hussain, Mudassar; Haq, Waqar Ul – Bulletin of Education and Research, 2020
There is conflict in previous research about the prospects and the consequences of Facebook raising eye brows whether to use Facebook in a pedagogical design. This paper analyzed the educational motives and the perceived academic consequences as the predictors of Facebook use, besides explaining the interaction effects of time patterns (daily and…
Descriptors: Social Media, College Students, Student Attitudes, Prediction
van Leeuwen, Anouschka; Bos, Nynke; van Ravenswaaij, Heleen; van Oostenrijk, Jurgen – British Journal of Educational Technology, 2019
In higher education, many studies have tried to establish which student activities predict achievement in blended courses, with the aim of optimizing course design. In this paper, we examine whether taking into account temporal patterns of student activity and instructional conditions of a course help to explain course performance. A course with a…
Descriptors: Higher Education, Blended Learning, Educational Technology, Technology Uses in Education
Owusu-Mensah, Francis – Education Quarterly Reviews, 2019
The study explored the effectiveness or otherwise of the in-built activities in the course manuals given to DE students of the University of Education in supporting their learning. Adopting the sequential mixed method design, 156 respondents were purposively selected from two study centres of the University. Data were collected using questionnaire…
Descriptors: Distance Education, Foreign Countries, College Students, Educational Technology
Moorthy, Krishna; Yee, Tsen Tzu; T'ing, Loh Chun; Kumaran, Vikniswari Vija – Australasian Journal of Educational Technology, 2019
Mobile learning has become a common experience in higher education and in the professional workforce. However, the readiness of accounting students to engage in such learning appears to be weaker than in other disciplines. Therefore, this study set out to identify the factors affecting accounting students' behavioural intention (BI) to accept…
Descriptors: Foreign Countries, Telecommunications, Handheld Devices, Educational Technology
Divjak, Marko; Rupel, Valentina Prevolnik; Lešnik, Kristijan Musek – Educational Media International, 2018
The main objective of the research was to analyse the study attitudes and study behaviour of online students at DOBA Business School. Furthermore, the aim was to evaluate the interrelationship between study attitudes and study behaviour and to assess the predictive value of the two sets of variables for students' general satisfaction with the…
Descriptors: Online Courses, Student Behavior, Student Attitudes, Study Habits
Du, Xin; Duivesteijn, Wouter; Klabbers, Martijn; Pechenizkiy, Mykola – International Educational Data Mining Society, 2018
Behavioral records collected through course assessments, peer assignments, and programming assignments in Massive Open Online Courses (MOOCs) provide multiple views about a student's study style. Study behavior is correlated with whether or not the student can get a certificate or drop out from a course. It is of predominant importance to identify…
Descriptors: Student Behavior, Assignments, Large Group Instruction, Online Courses
Yayci, Levent; Kendirci, Abdurrahman – International Online Journal of Education and Teaching, 2021
This study aimed to determine educational/academic and some social behaviors of elementary school students according to their parents' views during coronavirus pandemic days, when they were under lockdown and were attending distance education. The study used a descriptive analysis methodology, one of the survey models, and the study group…
Descriptors: Elementary School Students, Student Behavior, Social Behavior, Study Habits
Dvorak, Tomas; Jia, Miaoqing – Journal of Learning Analytics, 2016
This study analyzes the relationship between students' online work habits and academic performance. We utilize data from logs recorded by a course management system (CMS) in two courses at a small liberal arts college in the U.S. Both courses required the completion of a large number of online assignments. We measure three aspects of students'…
Descriptors: Online Courses, Educational Technology, Study Habits, Academic Achievement
Lindroth, Tomas; Lundin, Johan; Svensson, Lars – International Association for Development of the Information Society, 2013
Laptops and other networked technologies are commonplace at university campuses. While a range of studies researches the negative effects of multitasking, screenpeeking and other laptop related side effects this article emphasize the situational impact of student-laptop interaction. Departing from Goffman's framework on unfocused interaction and…
Descriptors: Laptop Computers, Computer Uses in Education, Educational Technology, Higher Education
Becker, Bernd – Behavioral & Social Sciences Librarian, 2013
The migration from traditional classrooms to online learning environments is in full effect. In the midst of these changes, a new approach to learning analytics needs to be considered. Learning analytics refers to the process of collecting and studying usage data in order to make instructional decisions that will support student success. In…
Descriptors: Educational Technology, Electronic Learning, Learning Processes, Learning Activities
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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