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Ahnaf Chowdhury Niloy; Salma Akter; Nayeema Sultana; Jakia Sultana; Sayed Imran Ur Rahman – Journal of Computer Assisted Learning, 2024
Background: The increasing prevalence of Artificial Intelligence (AI) language models, exemplified by ChatGPT, has sparked inquiries into their influence on creative writing skills in educational contexts. This study aims to quantitatively investigate whether ChatGPT's use negatively affects university students' creative writing abilities,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Creative Writing, Writing Ability
Mugur V. Geana; Dan Cernusca; Pan Liu – Journal of Computer Assisted Learning, 2024
Background: Education is, after gaming, the second largest sector embracing augmented reality (AR) at an accelerated pace, yet studies on AR's potential as an efficient learning environment had mixed results. Objectives: This study's primary objective is to test students' interaction with graphical 3D elements in AR and its impact on information…
Descriptors: Learner Engagement, Computer Simulation, Technology Uses in Education, Information Dissemination
Rustam Shadiev; Yingying Feng; Roza Zhussupova; Yueh-Min Huang – Journal of Computer Assisted Learning, 2024
Background: Tele-collaborative projects serve as invaluable platforms for students from diverse countries to engage in cross-cultural communication and exchange cultural knowledge. These projects offer immense benefits in terms of fostering intercultural competence among participants. However, one challenge arises when participants engage in…
Descriptors: Telecommunications, Feedback (Response), Assistive Technology, Verbal Communication
Fadime Ulusoy; Dilek Girit-Yildiz – Journal of Computer Assisted Learning, 2024
Background: Teachers must have the skills to find, select, design and use technology-based mathematical activities that focus on high-level cognitive demands--supporting student reasoning. However, they experience various difficulties in creating, planning and making decisions about how and when to utilize technological affordances. Objectives:…
Descriptors: Preservice Teachers, Mathematics Instruction, Educational Technology, Technology Uses in Education
Yuan Tian; Zhongjian Liu; Hainuo Liu; Min Fang – Journal of Computer Assisted Learning, 2025
Background: Online videos featuring human-generated drawing are increasingly popular in education. However, their effectiveness may vary depending on learners' prior knowledge, and further research is needed to confirm their advantages over other common instructional videos. Objectives: The primary goal of this study is to investigate the impact…
Descriptors: Video Technology, Educational Technology, Instructional Films, Freehand Drawing
Onele, Nicholas Ogbonna – Journal of Computer Assisted Learning, 2023
Background: The conventional classroom does not seem to adequately address the gender disparity in technology education. This could negatively affect the contributions of the female gender to national development. There was a need to advance a setting that enhances the participation of women in technology education. Aims: This study evaluated…
Descriptors: Computer Simulation, Employment Opportunities, Females, Technology
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
Tingting Wang; Alejandra Ruiz-Segura; Shan Li; Susanne P. Lajoie – Journal of Computer Assisted Learning, 2024
Background: Scholars have confirmed the vital roles of self-regulated learning (SRL) behaviours in predicting task performance, especially within non-linear technology-rich learning environments (TREs). However, few studies focused on the learning costs (e.g., study effort and time-on-task) related to SRL and the efficiency outcome of SRL (i.e.,…
Descriptors: Problem Solving, Educational Environment, Efficiency, Student Behavior
Han, Insook; Shin, Hyoung Seok; Ko, Yujung; Shin, Won Sug – Journal of Computer Assisted Learning, 2022
Background: Immersive VR is still rarely used as an intervention for meeting the affective end goals of student learning despite its positive impact on affection. Also, studies regarding the use of immersive VR as an intervention for affective achievement in broader educational contexts are still lacking. Objectives: This study aimed to examine…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Program Effectiveness
Maarten Sluijs; Uwe Matzat – Journal of Computer Assisted Learning, 2024
Background: Technological innovations such as Learning Management Systems (LMS) are becoming more and more prevalent in the learning environments of students. Distilling and acting on knowledge gathered from these systems, the field known as learning analytics, allows educators to hone their craft and support students more effectively by providing…
Descriptors: Time Management, Learning Analytics, Learning Management Systems, Predictive Measurement
Meng Cai; Han Luo; Xiao Meng; Jiaqi Liu – Journal of Computer Assisted Learning, 2024
Background: Higher vocational education is an essential part of the higher education system that complements conventional education. In the context of information and communication technology (ICT) development and academic competition, more and more literature has proved the importance of ICT use in educational development (academic achievement…
Descriptors: Higher Education, Vocational Education, Educational Technology, Technology Uses in Education
Charlotte H. Müller; Markus Reiher; Manu Kapur – Journal of Computer Assisted Learning, 2024
Background: Haptic feedback has been shown to be an effective facilitator of the learning of scientific concepts in a series of studies. However, little is known about the underlying salient learning mechanisms, which are activated when learning from haptic feedback. Objectives: We investigate the learning mechanism in a higher chemistry education…
Descriptors: Quantum Mechanics, Chemistry, Feedback (Response), Cognitive Processes
Shan Li; Xiaoshan Huang; Gaoxia Zhu; Hanxiang Du; Tianlong Zhong; Chenyu Hou; Juan Zheng – Journal of Computer Assisted Learning, 2024
Background: Social annotation has emerged as a promising educational technology that fosters collaborative reading and discussion of digital resources among learners. While the positive impact of social annotation on students' learning process and performance is widely acknowledged, students' behavioural patterns in social annotation are…
Descriptors: Undergraduate Students, Cooperative Learning, Reading Strategies, Group Activities
Ferhan Sahin; Gizem Yildiz – Journal of Computer Assisted Learning, 2024
Background: Despite the significant emphasis on self-determination in special education and the crucial role of mobile learning, there is a notable absence of path modelling studies that explore the effect of self-determination on the usage of mobile learning by students with special needs. Objectives: This study sought to investigate the…
Descriptors: College Students, Special Needs Students, Assistive Technology, Electronic Learning
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