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Joaquín Jiménez-Puerto; Gianni Gallello – Journal of Computer Assisted Learning, 2025
Background: In the dynamic landscape of higher education, innovation through gamification has emerged as a successful approach to enhance student learning and motivation. Archaeological studies have particularly benefited from innovative pedagogy, as traditional teaching methods often struggle to engage younger generations. Aims: To evaluate the…
Descriptors: Archaeology, Instructional Innovation, History Instruction, College Students
Wollny, Sebastian; Di Mitri, Daniele; Jivet, Ioana; Muñoz-Merino, Pedro; Scheffel, Maren; Schneider, Jan; Tsai, Yi-Shan; Whitelock-Wainwright, Alexander; Gaševic, Dragan; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2023
Background: Learning Analytics (LA) is an emerging field concerned with measuring, collecting, and analysing data about learners and their contexts to gain insights into learning processes. As the technology of Learning Analytics is evolving, many systems are being implemented. In this context, it is essential to understand stakeholders'…
Descriptors: Foreign Countries, College Students, Learning Analytics, Expectation
Zhicheng Dai; Ling Wang; Xian Peng; Liang Zhao; Junxia Xiong – Journal of Computer Assisted Learning, 2024
Background: Smart classroom environment has drawn worldwide attention, however, there is still a lack of studies that can explore and analyse potential factors, which affect students' satisfaction with smart classrooms in higher education. Objectives: To assess students' satisfaction with smart classrooms in higher education, this study proposed…
Descriptors: Student Satisfaction, Classroom Environment, College Students, Educational Technology
Elisabeth Bauer; Michael Sailer; Frank Niklas; Samuel Greiff; Sven Sarbu-Rothsching; Jan M. Zottmann; Jan Kiesewetter; Matthias Stadler; Martin R. Fischer; Tina Seidel; Detlef Urhahne; Maximilian Sailer; Frank Fischer – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Simulation, Natural Language Processing
Conijn, Rianne; Kleingeld, Ad; Matzat, Uwe; Snijders, Chris – Journal of Computer Assisted Learning, 2022
Background: Online and blended learning need an appropriate assessment strategy which ensures academic integrity. During the pandemic, many universities have chosen for online proctoring. Although some earlier examples suggest that online proctoring may reduce cheating, the potential side-effects of proctoring are largely unknown. Objectives:…
Descriptors: Supervision, Computer Assisted Testing, Integrity, Cheating
Arshad, Arooj; Ghazal, Saima; Saleem, Noshina; Hanan, Mian Ahmad; Arshad, Muhammad Haseeb – Journal of Computer Assisted Learning, 2022
Background: In this technologically advanced era, media literacy is necessary to effectively evaluate the information and understand various biases inherent in media messages. Several media literacy (ML) tools are available; however, we need generic and objective tools that can be applied to all forms of media messages. Objectives: The current…
Descriptors: Media Literacy, Foreign Countries, Measurement Techniques, Measures (Individuals)
Patricia Feubli; Douglas MacKevett; Jürg Schwarz – Journal of Computer Assisted Learning, 2024
Background: This research paper presents a cross-sectional study that examinefs the preferences of students for hybrid teaching and learning scenarios. Unlike previous studies that merely describe hybrid scenarios, this research prioritizes them, offering evidence-based findings for informed policy decisions. Methods: The data collection method…
Descriptors: Blended Learning, Preferences, Foreign Countries, Educational Environment
Xiaowei Lei – Journal of Computer Assisted Learning, 2024
Background: This research aimed at investigating the effectiveness of online digital audio software Logic Pro X and offline audio studios in creating an original folk-style track. The goal was to define the more effective method for the perspective and quality of musical compositions that students create during learning. Objectives: This research…
Descriptors: Music Education, Accuracy, Audio Equipment, Musical Composition
Vu Thanh Tam Nguyen; Hsiu-Ling Chen; Van Tran Kieu Nguyen – Journal of Computer Assisted Learning, 2025
Background: Social-emotional practices are crucial in today's educational landscape, fostering students' emotional intelligence, resilience and interpersonal skills. Integrating these practices into the gamified flipped classroom approach creates an enriched learning environment. However, there exists a notable research gap regarding the specific…
Descriptors: Social Emotional Learning, Gamification, Flipped Classroom, Emotional Response
Jingrong Liu; Shujun Li; Wanfang Zhang – Journal of Computer Assisted Learning, 2024
Background: Limited research on the effectiveness of additional online and face-to-face practise opportunities for promoting active learning among Chinese EFL learners in higher education. Current understanding of self-regulated and collaborative learning theories in educational contexts. Objectives: To establish the efficacy of interactive online…
Descriptors: Foreign Countries, English (Second Language), English Language Learners, Electronic Learning
Liu, Yinan – Journal of Computer Assisted Learning, 2023
Background Studies: Captioning and repetition are widely used multimedia instructional devices for non-native students. Generally, studies in this area have tended to focus on second language literacy skills rather than on learning new content knowledge. Additionally, posttests were administered immediately after the treatments, while the delayed…
Descriptors: Captions, Repetition, Foreign Countries, College Students
Alamer, Abdullah; Al Khateeb, Ahmed; Jeno, Lucas M. – Journal of Computer Assisted Learning, 2023
Background: Mobile-assisted language learning (MALL) has long been advocated to promote students' language study outcomes. However, little is known about how using instant messaging applications (an example of MALL) affect student motivation, language anxiety, and actual achievement. Objectives: To help close this gap, we have conducted a…
Descriptors: Foreign Countries, College Students, Synchronous Communication, Handheld Devices
Xin Tang; Zhiqiang Yuan; Shaojun Qu – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (AI) represents a significant technological leap, with platforms like OpenAI's ChatGPT and Baidu's Ernie Bot at the forefront of innovation. This technology has seen widespread adoption across various sectors of society and is anticipated to revolutionise the educational landscape, especially in the…
Descriptors: Influences, College Students, Student Behavior, Intention
Yawen Yu; Yang Tao; Gaowei Chen; Can Sun – Journal of Computer Assisted Learning, 2024
Background: Deep discussions play an important role in students' online learning. However, researchers have largely focused on engaging students in deep discussions in online asynchronous forums. Few studies have investigated how to promote deep discussion via mobile instant messaging (MIM). Objectives: In this study, we applied learning…
Descriptors: Learning Analytics, College Students, Epistemology, Computer Mediated Communication
Irum Alvi; Hager Khechine – Journal of Computer Assisted Learning, 2025
Background: Collaborative learning, which emphasises cooperative group techniques, intersects with the evolving role of social media as a tool. Understanding how cultural values influence these dynamics is crucial for effectively integrating and utilising social media into collaborative learning environments. Objective: This research aims to…
Descriptors: Foreign Countries, College Students, Student Attitudes, Engineering Education