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Esnaashari, Shadi; Gardner, Lesley A.; Arthanari, Tiru S.; Rehm, Michael – Journal of Computer Assisted Learning, 2023
Background: It is vital to understand students' Self-Regulatory Learning (SRL) processes, especially in Blended Learning (BL), when students need to be more autonomous in their learning process. In studying SRL, most researchers have followed a variable-oriented approach. Moreover, little has been known about the unfolding process of students' SRL…
Descriptors: Metacognition, Student Attitudes, Learning Strategies, Questionnaires
Explaining Trace-Based Learner Profiles with Self-Reports: The Added Value of Psychological Networks
Jelena Jovanovic; Dragan Gaševic; Lixiang Yan; Graham Baker; Andrew Murray; Danijela Gasevic – Journal of Computer Assisted Learning, 2024
Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable…
Descriptors: Psychological Patterns, Networks, Profiles, Learning Processes
Israel-Fishelson, Rotem; Hershkovitz, Arnon – Journal of Computer Assisted Learning, 2021
Persistence has been identified as a crucial quality of learning. However, it is hard to attain in online game-based environments as the drive to progress in the game may influence the ability to achieve the learning goals. This study aimed to examine the associations between micro-persistence, that is, the tendency to complete an individual task…
Descriptors: Game Based Learning, Persistence, Difficulty Level, Thinking Skills
Hilz, Anna; Guill, Karin; Roloff, Janina; Aldrup, Karen; Köller, Olaf – Journal of Computer Assisted Learning, 2023
Background: Although research on mathematics learning programs has taken off in recent years, little is known about how different person characteristics are related to practice behaviour with such programs. When implementing a mathematics learning program in the classroom, it might be important to know whether students with specific…
Descriptors: Mathematics Instruction, Student Characteristics, Knowledge Level, Prior Learning
Wu, Ting-Ting – Journal of Computer Assisted Learning, 2018
Memorizing English vocabulary is often considered uninteresting, and a lack of motivation exists during learning activities. Moreover, most vocabulary practice systems automatically select words from articles and do not provide integrated model methods for students. Therefore, this study constructed a mobile game-based English vocabulary practice…
Descriptors: Vocabulary Development, Learning Motivation, Telecommunications, Handheld Devices
Froehlich, Laura; Sassenberg, Kai; Jonkmann, Kathrin; Scheiter, Katharina; Stürmer, Stefan – Journal of Computer Assisted Learning, 2023
Background: The use of e-exams in higher education is increasing. However, the role of student diversity in the acceptance of e-exams is an under-researched topic. In the current study, we considered student diversity in terms of three sociodemographic characteristics (age, gender, and second language) and three dispositional student…
Descriptors: Student Diversity, Student Attitudes, Computer Assisted Testing, Student Characteristics
Knörzer, L.; Brünken, R.; Park, B. – Journal of Computer Assisted Learning, 2016
The Cognitive-Affective Theory of Learning with Media postulates that affective factors as well as individual learner characteristics impact multimedia learning. The present study investigated how experimentally induced positive and negative emotions influence multimedia learning and how learner characteristics moderated this impact. Results…
Descriptors: Psychological Patterns, Multimedia Instruction, Student Characteristics, Learning Theories
Paans, Cindy; Segers, Eliane; Molenaar, Inge; Verhoeven, Ludo – Journal of Computer Assisted Learning, 2018
In the present study, we investigated whether online learning behaviours (navigation and writing activities) mediated the relation between learner characteristics (prior knowledge, vocabulary knowledge, working memory, and motivation) and declarative knowledge. Specifically, we investigated whether the quality of participants' written assignments…
Descriptors: Assignments, Grade 5, Elementary School Students, Navigation (Information Systems)
Swinnerton, B.; Hotchkiss, S.; Morris, N. P. – Journal of Computer Assisted Learning, 2017
This paper investigates the characteristics and behaviour of learners on nine Massive Open Online Courses (MOOCs) on the FutureLearn platform in 2014 and 2015. FutureLearn's social constructivist approach, which emphasizes learning through social interaction, makes the focus on forum posting within these MOOCs particularly appropriate. This study…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Song, H. S.; Kalet, A. L.; Plass, J. L. – Journal of Computer Assisted Learning, 2016
This study examined the direct and indirect effects of medical clerkship students' prior knowledge, self-regulation and motivation on learning performance in complex multimedia learning environments. The data from 386 medical clerkship students from six medical schools were analysed using structural equation modeling. The structural model revealed…
Descriptors: Prior Learning, Self Management, Self Control, Student Motivation
Davis, K.; Sridharan, H.; Koepke, L.; Singh, S.; Boiko, R. – Journal of Computer Assisted Learning, 2018
The current study investigated college students' experiences of a gamified informatics course. We surveyed 139 students aged 18-31 years (M = 20 years, SD = 1.5) enrolled in an undergraduate informatics course focused on social networking technologies. Surveys were conducted at 3 time points during the course (beginning, middle, and end). Overall,…
Descriptors: Learner Engagement, Information Science Education, Undergraduate Students, Social Networks
Johnson, A. M.; Ozogul, G.; Reisslein, M. – Journal of Computer Assisted Learning, 2015
An experiment examined the effects of visual signalling to relevant information in multiple external representations and the visual presence of an animated pedagogical agent (APA). Students learned electric circuit analysis using a computer-based learning environment that included Cartesian graphs, equations and electric circuit diagrams. The…
Descriptors: Animation, Multimedia Instruction, Computer Assisted Instruction, Prior Learning
Lee, K. – Journal of Computer Assisted Learning, 2018
Integrating computer-mediated intercultural communication (CMIC) activities into language curricula has been discussed as an innovative approach. Despite the increasing number of successful examples reporting positive outcomes of adopting CMIC activities in language-learning environments, it has also been noted that there are significant…
Descriptors: Computer Mediated Communication, Intercultural Communication, Second Language Learning, Second Language Instruction
Ahanchian, M. R.; McCormick, J. – Journal of Computer Assisted Learning, 2009
Virtual teamwork is a growing mode of operation within organizations through the increasing sophistication and accessibility of computer-mediated communication. The purpose of this paper was to develop a new conceptual framework and propositions to assist understanding of a new training phenomenon. The approach used was the integration of related,…
Descriptors: Computer Mediated Communication, Virtual Classrooms, Cultural Influences, Teamwork

De Diana, Italo P. F.; van der Heiden, G. – Journal of Computer Assisted Learning, 1994
Discussion of electronic study books focuses on individual learning styles. Highlights include turning electronic books into electronic study books; the management of information; book users and product adaptation; learner characteristics and the learning environment; learner motivation; learning strategies; and a Style Initiating Module, used to…
Descriptors: Cognitive Style, Educational Environment, Information Management, Learning Strategies