NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 11 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Hanna Järvenoja; Tiina Törmänen; Marjo Turunen; Emma Lehtoaho – Journal of Computer Assisted Learning, 2025
Background: Collaborative learning offers benefits, but its potential is often undermined by motivational challenges. This study uses the situated expectancy-value theory to explore how students' expectancies for success relate to group-level regulation of learning during collaborative interactions. The study considers success expectancies both as…
Descriptors: Cooperative Learning, Success, Expectation, Student Motivation
Peer reviewed Peer reviewed
Direct linkDirect link
Koskinen, Antti; McMullen, Jake; Ninaus, Manuel; Kiili, Kristian – Journal of Computer Assisted Learning, 2023
Background: In recent years, the importance of emotions in learning has been increasingly recognized. Applying emotional design to induce positive emotions has been considered a means to enhance the instructional effectiveness of digital learning environments. However, only a few studies have examined the specific effects of emotional design in…
Descriptors: Psychological Patterns, Scaffolding (Teaching Technique), Student Motivation, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Qiao, Shen; Chu, Samuel Kai Wah; Shen, Xiaoai; Yeung, Susanna Siu-sze – Journal of Computer Assisted Learning, 2022
Background: Morphological awareness (MA) is the awareness and ability to manipulate morphemes, the smallest units of meaning in a language. It is identified as a strong cognitive precursor of word reading and reading comprehension. The current MA instructions are limited to classroom settings and delivered by teachers or experimenters. Few studies…
Descriptors: Middle School Students, English (Second Language), Second Language Learning, Game Based Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Katharina Alexandra Whalen; Alexander Renkl; Alexander Eitel; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: Students often show unfavourable attribution: they attribute poor school performance to stable factors such as lack of ability and good school performance to variable factors such as effort. However, attribution can be influenced by individualized digital re-attributional feedback leading to positive motivational effects and higher…
Descriptors: Feedback (Response), Computer Mediated Communication, Secondary School Mathematics, Student Motivation
Peer reviewed Peer reviewed
Direct linkDirect link
Yang, Jie Chi; Kuo, Wen-Chi – Journal of Computer Assisted Learning, 2022
Background: Digital game-based learning (DGBL) has been shown to be an effective strategy for promoting learning motivation. However, a lack of attention has been paid to investigating the effects of individual differences on elementary students' reading motivation and in-gaming achievements in DGBL. Objectives: This study developed an educational…
Descriptors: Grade 3, Grade 4, Grade 5, Elementary School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Lu Zhang; Yue Lei; Tim Pelton; Leslee Francis Pelton; Junjie Shang – Journal of Computer Assisted Learning, 2024
Background: Digital game-based learning (DGBL) has the potential to provide a gender inclusive learning environment for children. Objective: The present study aimed to explore gendered differences among primary school learners in grades three, four, and five within the context of game-based fraction learning from cognitive, motivational and…
Descriptors: Gender Differences, Game Based Learning, Mathematics Education, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Davy Tsz Kit Ng; Chen Xinyu; Jac Ka Lok Leung; Samuel Kai Wah Chu – Journal of Computer Assisted Learning, 2024
Background: As the significance of artificial intelligence (AI) continues to increase, there is a need for effective scaffolding and support for novice learners. Educators have encountered challenges in effectively scaffolding novice learners AI concepts, and providing appropriate motivational support. Research evidence has shown the potential of…
Descriptors: Artificial Intelligence, Novices, Scaffolding (Teaching Technique), Game Based Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Witherspoon, Eben B.; Schunn, Christian D.; Higashi, Ross M.; Shoop, Robin – Journal of Computer Assisted Learning, 2018
Educational robotics programs offer an engaging opportunity to potentially teach core computer science concepts and practices in K-12 classrooms. Here, we test the effects of units with different programming content within a virtual robotics context on both learning gains and motivational changes in middle school (6th-8th grade) robotics…
Descriptors: Robotics, Computer Science Education, Programming, Units of Study
Peer reviewed Peer reviewed
Direct linkDirect link
Erbas, Cagdas; Demirer, Veysel – Journal of Computer Assisted Learning, 2019
This study aimed to investigate the effects of augmented reality (AR) activities on students' academic achievement and motivation in a biology course. For this purpose, a mixed study was conducted, and a pretest and posttest control group model was used. In addition, the opinions of the experimental group students and the teacher about the AR…
Descriptors: Biology, Science Instruction, Teaching Methods, Science Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
van der Meij, H.; van der Meij, J. – Journal of Computer Assisted Learning, 2016
This study investigates how well a video tutorial for software training that is based on Demonstration-Based Teaching supports user motivation and performance. In addition, it is studied whether reviews significantly contribute to these measures. The Control condition employs a tutorial with instructional features added to a dynamic task…
Descriptors: Grade 7, Video Technology, Tutorial Programs, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, C.-H.; Chou, M.-H. – Journal of Computer Assisted Learning, 2015
Facing students' decreasing motivation to pursue scientific study, schools and educators need to coordinate new technologies with pedagogical agents to effectively sustain or promote students' scientific learning and motivation to learn. Although the provision of pedagogical agents in student learning has been studied previously, it is not clear…
Descriptors: Middle School Students, Learning, Student Motivation, Science Instruction