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Bacca-Acosta, Jorge; Fabregat, Ramon; Baldiris, Silvia; Kinshuk; Guevara, Juan – Journal of Computer Assisted Learning, 2022
Background: Mobile-based assessment has been an active area of research in the field of mobile learning. Prior research has demonstrated that mobile-based assessment systems positively affect student performance. However, it is still unclear why and how these systems positively affect student performance. Objectives: This study aims to identify…
Descriptors: Academic Achievement, Electronic Learning, Handheld Devices, Computer Assisted Testing
Alam, Md. I.; Malone, Lauren; Nadolny, Larysa; Brown, Michael; Cervato, Cinzia – Journal of Computer Assisted Learning, 2023
Background: The substantial growth in gamification research has connected gamified learning to enhanced engagement, improved performance, and greater motivation. Similar to gamification, personalized learning analytics dashboards can enhance student engagement. Objectives: This study explores the student experiences and academic achievements using…
Descriptors: Academic Achievement, Game Based Learning, Introductory Courses, STEM Education
Kittel, Anne Frieda Doris; Seufert, Tina – Journal of Computer Assisted Learning, 2023
Background: Most workplace learning is informal. However, some employees struggle to execute informal learning strategies effectively because they lack the necessary knowledge or skills or use their knowledge and skills ineffectively or not at all. Objectives: We examined the effects of computer-based micro-learning interventions that provide…
Descriptors: Informal Education, Learning Strategies, Workplace Learning, Job Skills
Lottridge, Susan; Woolf, Sherri; Young, Mackenzie; Jafari, Amir; Ormerod, Chris – Journal of Computer Assisted Learning, 2023
Background: Deep learning methods, where models do not use explicit features and instead rely on implicit features estimated during model training, suffer from an explainability problem. In text classification, saliency maps that reflect the importance of words in prediction are one approach toward explainability. However, little is known about…
Descriptors: Documentation, Learning Strategies, Models, Prediction
Chun-Chun Chang; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: Cultivating staff's professional English has become an imperative and challenging issue in English as a Foreign Language (EFL) countries. English for medical professionals is also the common language around the world for publishing new medical knowledge or reports. Therefore, Medical English for Health Professionals (MEHP) is a crucial…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Comparative Analysis
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
Tamisha Thompson; Jennifer St. John; Siddhartha Pradhan; Erin Ottmar – Journal of Computer Assisted Learning, 2025
Background: Educational technologies typically provide teachers with analytics regarding student proficiency, but few digital tools provide teachers with process-based information about students' variable problem-solving strategies as they solve problems. Utilising design thinking and co-designing with teachers can provide insight to researchers…
Descriptors: Mathematics Instruction, Educational Technology, Problem Solving, Instructional Design
Ting-Ting Wu; Edi Sarwono; Yueh-Min Huang – Journal of Computer Assisted Learning, 2025
Background: Virtual laboratories are used to supplement or even replace physical laboratories in engineering education. Although these virtual laboratories allow students to learn foundational experimental skills, they do not provide the learners with the chance to develop higher-order thinking skills (HOTS). Computational thinking (CT) is an…
Descriptors: Computation, Thinking Skills, Computer Simulation, Laboratories
Peng Chen; Dong Yang; Jia Zhao; Shu Yang; Jari Lavonen – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) refers to the ability to represent problems, design solutions and migrate solutions computationally. While previous studies have shown that self-explanation can enhance students' learning, few empirical studies have examined the effects of using different self-explanation prompts to cultivate students' CT…
Descriptors: Computation, Thinking Skills, Programming, Learning Processes
Kairit Tammets; Kaire Kollom; Tobias Ley; Paula Joanna Sillat; Manisha Khulbe – Journal of Computer Assisted Learning, 2025
Background Study: Learning Analytics (LA) has emerged as a powerful tool for personalising learning, gaining insights into students' learning processes, and enhancing teachers' reflective practices and awareness. Over the past decades, extensive research has been conducted to understand the factors that play a crucial role in the adoption of…
Descriptors: Training, Instructional Design, Individual Characteristics, Intention
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
Chung, Chih-Hung; Lin, You Yin – Journal of Computer Assisted Learning, 2022
Background: Most students have exhibited low motivation to engage in traditional learning methods. Additionally, students have difficulty concentrating on the course content, being easily distracted by their smartphones. Objectives: Therefore, we adopted an online 3D gamification problem-based learning (PBL) model to motivate students and improve…
Descriptors: Computer Simulation, Game Based Learning, Problem Based Learning, Human Resources
Veugen, Maria Joanna; Gulikers, Judith Theresia Maria; den Brok, Perry – Journal of Computer Assisted Learning, 2022
Introduction: During the COVID-19 lockdown in 2020, teachers had to shift their teaching and assessment to online. Formative assessment (FA) can help teachers to engage, guide and monitor students' (online) learning. However, more knowledge is needed of how teachers could use the full FA process online. Methods: In this study data from 50…
Descriptors: Secondary School Teachers, Formative Evaluation, Student Evaluation, Electronic Learning
Yu Cui; Lingjie Tang; Fang Fang – Journal of Computer Assisted Learning, 2025
Background Study: With the rapid transition to remote learning necessitated by the closure of traditional educational infrastructures globally, the arena of informal digital learning of English (IDLE) has received much attention, particularly among English as a Foreign Language (EFL) learners in China. Objective: This study explores how…
Descriptors: Electronic Learning, Artificial Intelligence, Predictor Variables, Informal Education
Lai, Xiaoyan; Ye, Jiachu; Wong, Gary Ka Wai – Journal of Computer Assisted Learning, 2023
Background: Collaboration has commonly been integrated in computational thinking education to foster novice learning. While the majority of existing studies on developing students' CT skills have been based on competency or personality factors, social factors have been largely ignored. Objectives: This systematic review, framed by social cognitive…
Descriptors: Cooperative Learning, Instructional Effectiveness, Computation, Thinking Skills

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