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Yun Zhang; Fangzheng Zhao; Richard E. Mayer – Journal of Computer Assisted Learning, 2025
Background and Objective: The positivity principle states that students learn better from instructors who display positive rather than negative or neutral emotions in multimedia lessons (Lawson et al. 2021a). This study extends this work by exploring the role of affective and social cues displayed by feedback providers, such as their emotional…
Descriptors: Multimedia Instruction, Psychological Patterns, Feedback (Response), Gender Differences
Anna Flavia Di Natale; Claudia Repetto; Daniela Villani – Journal of Computer Assisted Learning, 2024
Background: Online synchronous learning in higher education frequently struggles to overcome the social presence gap, resulting in dissatisfaction and poor learning outcomes. Objectives: This study examined the effectiveness of desktop-based virtual reality (VR) social platforms compared to video conferencing (VC) platforms in enhancing students'…
Descriptors: Computer Simulation, Social Media, Computers, Teleconferencing
Katherine Frances McLay; Vicente Chua Reyes Jr. – Journal of Computer Assisted Learning, 2024
Background: This research was motivated by noticing shortcomings in the TPACK framework, which does not take account of the affective dimension (e.g., emotions, moods, attitudes and values) of teaching and learning with and about technology, despite this being a key predictor of whether teachers incorporate technology into teaching and learning.…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, 21st Century Skills, Technology Uses in Education
Ute Mertens; Marlit A. Lindner – Journal of Computer Assisted Learning, 2025
Background: Educational assessments increasingly shift towards computer-based formats. Many studies have explored how different types of automated feedback affect learning. However, few studies have investigated how digital performance feedback affects test takers' ratings of affective-motivational reactions during a testing session. Method: In…
Descriptors: Educational Assessment, Computer Assisted Testing, Automation, Feedback (Response)
Lei, Hao; Wang, Chenxin; Chiu, Ming Ming; Chen, Shuangye – Journal of Computer Assisted Learning, 2022
Background: Researchers debate whether game-based learning (GBL) affects students' achievement emotions, as past studies yielded mixed results. Objectives: This study determines the overall effect of GBL on students' positive achievement emotion and their negative achievement emotions (PAEs, NAEs), along with their moderators. Methods: This…
Descriptors: Educational Games, Academic Achievement, Psychological Patterns, Meta Analysis
Kühl, Tim; Münzer, Stefan – Journal of Computer Assisted Learning, 2021
According to the personalization principle, addressing learners by means of a personalized compared to a nonpersonalized message can foster learning. Interestingly, though, a recent study found that the personalization principle can invert for aversive contents. The present study investigated whether the negative effect of a personalized message…
Descriptors: Diseases, Information Dissemination, Psychological Patterns, College Students
Truzoli, Roberto; Viganò, Caterina; Galmozzi, Paolo Gabriele; Reed, Phil – Journal of Computer Assisted Learning, 2020
The current study explored the relationship between problematic internet use (PIU) and motivation to learn, and examined psychological and social factors mediating this relationship. Two hundred and eighty-five students in an Italian University were recruited for the current study. There was a negative relationship between PIU and motivation to…
Descriptors: Internet, Learning Motivation, College Students, Psychological Patterns
Niu, Liwei; Wang, Xinghua; Wallace, Matthew P.; Pang, Hui; Xu, Yanping – Journal of Computer Assisted Learning, 2022
Background: In view of the widespread use of digital technologies in English as a foreign language (EFL) learning and the importance of students' approaches to learning (SAL) and digital competence, as well as the threats of technostress in digital settings, digital EFL learning requires a critical examination. Objectives: This study sought to…
Descriptors: English (Second Language), Educational Technology, Electronic Learning, Second Language Learning
Mangaroska, Katerina; Sharma, Kshitij; Gaševic, Dragan; Giannakos, Michail – Journal of Computer Assisted Learning, 2022
Background: Problem-solving is a multidimensional and dynamic process that requires and interlinks cognitive, metacognitive, and affective dimensions of learning. However, current approaches practiced in computing education research (CER) are not sufficient to capture information beyond the basic programming process data (i.e., IDE-log data).…
Descriptors: Cognitive Processes, Psychological Patterns, Problem Solving, Programming
Stárková, Tereza; Lukavský, Jirí; Javora, Ondrej; Brom, Cyril – Journal of Computer Assisted Learning, 2019
Anthropomorphizing graphical elements in multimedia learning materials improves learning outcomes. The reasons for enhanced learning are unclear. We extended a seminal anthropomorphism study in order to examine whether the effect of anthropomorphisms on learning outcomes, both immediate and delayed, is caused by the anthropomorphized elements'…
Descriptors: Multimedia Instruction, Educational Technology, Technology Uses in Education, Learning
Göksu, Idris; Ergün, Naif; Özkan, Zafer; Sakiz, Halis – Journal of Computer Assisted Learning, 2021
The COVID-19 pandemic has led to a rapid transition from face-to-face to distance learning. The problems caused by this rapid transition are combined with the negative psychological outcomes of the pandemic, leading to numerous problems and difficulties in the teaching and learning processes. The recentness of these issues and developments…
Descriptors: Distance Education, Pandemics, COVID-19, Psychological Patterns