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Valeria Henríquez; Isabel Hilliger – Journal of Computer Assisted Learning, 2024
Background: With the growing integration of technology in education, the adoption of blended learning (b-learning) has gained attention. B-learning combines traditional classroom teaching with online components, holding potential to enhance student outcomes and educational efficiency. Yet, current research predominantly concentrates on higher…
Descriptors: Blended Learning, Elementary Secondary Education, Rural Areas, Technology Uses in Education
Aysel Sahin Kizil; Blanka Klimova; Marcel Pikhart; Antigoni Parmaxi – Journal of Computer Assisted Learning, 2025
Background: The rise of intelligent chatbots powered by artificial intelligence and machine learning has ignited interest in their potential for revolutionising second language (L2) acquisition and foreign language learning (FLL). While their potential seems vast, understanding their actual impact on learning outcomes requires comprehensive…
Descriptors: Educational Research, Artificial Intelligence, Computer Software, Synchronous Communication
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
Ignacio Villagrán; Rocío Hernández; Javiera Fuentes-Cimma; Constanza Miranda; Julián Varas; Andrés Neyem; Gabriela Sepúlveda; Bárbara Catril; Patricio García; Isabel Hilliger; Eduardo Fuentes-Lopez – Journal of Computer Assisted Learning, 2025
Background: Before they graduate, higher education students must demonstrate technical skills in different procedures, where health degrees such as physiotherapy stand out for their practical nature. Procedural skill development requires students to uptake feedback continuously, which is costly in terms of time and effort. Although the…
Descriptors: Allied Health Occupations Education, Undergraduate Students, Trainees, Physical Therapy
Dindar, Muhterem; Suorsa, Anna; Hermes, Jan; Karppinen, Pasi; Näykki, Piia – Journal of Computer Assisted Learning, 2021
COVID-19 pandemic has caused a massive transformation in K-12 settings towards online education. It is important to explore the factors that facilitate online teaching technology adoption of teachers during the pandemic. The aim of this study was to compare Learning Management System (LMS) acceptance of Finnish K-12 teachers who have been using a…
Descriptors: Technology Integration, Elementary School Teachers, Secondary School Teachers, Expectation
Thai, Ngoc Thuy Thi; De Wever, Bram; Valcke, Martin – Journal of Computer Assisted Learning, 2020
This study compares four learning environments: face-to-face learning (F2F), fully e-learning (EL), blended learning (BL), and flipped classroom (FC) with respect to students' learning performance. Moreover, this present research studies changes in perceived flexibility, intrinsic motivation, self-efficacy beliefs of students, and the interaction…
Descriptors: Blended Learning, Teaching Methods, Comparative Analysis, Self Efficacy
Lu, Kaili; Pang, Feng; Shadiev, Rustam – Journal of Computer Assisted Learning, 2023
Background: Inquiry-based learning is a salient instructional approach to cultivate students' higher order thinking skills (HOTS). With the presence and advancement of new technologies, their usage for inquiry learning in university context is increasingly ubiquitous. However, in most circumstances, college students cannot integrate technologies…
Descriptors: College Students, Technology Uses in Education, Teaching Methods, Thinking Skills
Teng, Mark Feng – Journal of Computer Assisted Learning, 2023
Background: Despite the potential of captioned videos, limited attention has been paid to the role of vocabulary knowledge (VK) and working memory (WM) in incidental vocabulary learning under different captioning conditions. Objectives: The present study aimed to bridge this gap by assessing VK and WM in incidental vocabulary learning under…
Descriptors: Foreign Countries, Elementary School Students, Vocabulary Development, Video Technology
Hoi, Vo Ngoc; Le Hang, Ho – Journal of Computer Assisted Learning, 2021
Enhancing student engagement plays a critical role in reducing student drop-out rate in online learning as students usually feel isolated and disconnected in this learning environment. This requires a clear conceptualization of the student engagement construct and its underlying structure. However, the conceptual understanding of the student…
Descriptors: Learner Engagement, Electronic Learning, Structural Equation Models, Factor Analysis
Johnson-Glenberg, Mina C.; Bartolomea, Hannah; Kalina, Elena – Journal of Computer Assisted Learning, 2021
Experiences in immersive 3D virtual reality (VR) are more presence-inducing, and so it may be tempting to claim that content will be learned better in VR. This randomized control trial study on natural selection challenges that assumption. This study answers the question of whether learning STEM in an immersive 3D VR environment is always superior…
Descriptors: Computer Simulation, STEM Education, Learning Experience, Instructional Effectiveness
Hu, Chih-Hsiang; Barrett, Neil E.; Liu, Gi-Zen – Journal of Computer Assisted Learning, 2021
Background: Augmented reality (AR) has been incorporated in context-aware ubiquitous learning (CAUL) designs to guide learners but few of the designs adopt specific learning theories. Furthermore, there are no CAUL design models that align learning theories to CAUL effectiveness. In addition, CAUL review papers have not documented CAUL…
Descriptors: Computer Simulation, Teaching Methods, Learning Theories, Instructional Effectiveness
Sule Biyik Bayram; Gamze Özener; Nilay Çakici; Handan Eren; Sinan Aydogan; Deniz Öztürk; Emel Gülnar; Nurcan Çaliskan – Journal of Computer Assisted Learning, 2024
Background: There are deficiencies in ensuring the permanence of some theoretical information taught in nursing education and transferring it to practice environment. Mobile-assisted teaching can be useful to eliminate deficiencies. The aim of this study was to determine the effect of mobile-assisted teaching on nursing students' learning…
Descriptors: Foreign Countries, Nursing Students, Human Body, Electronic Learning
Ali Soyoof; Barry Lee Reynolds; Michelle Neumann; Janet Scull; Ekaterina Tour; Katherine McLay – Journal of Computer Assisted Learning, 2024
Background: In today's society, a growing body of literature attests to the importance of young children's early digital literacy skills in their home environments and how acquisition of these digital literacy skills relates to their future learning and digital literacy. Objectives: Research on young children's digital literacy practices at home…
Descriptors: Children, Digital Literacy, Family Environment, Parent Participation
Wenli Chen; Hua Hu; Qianru Lyu; Lishan Zheng – Journal of Computer Assisted Learning, 2024
Background: Critical thinking is one of the 21st Century competencies for students. While previous research acknowledges the potential of peer feedback to enhance critical thinking skills, particularly within computer-supported collaborative learning (CSCL) environments, there is limited understanding of which specific aspects of critical thinking…
Descriptors: Critical Thinking, Peer Evaluation, Feedback (Response), Cooperative Learning
Jiahong Su; Weipeng Yang; Iris Heung Yue Yim; Hui Li; Xiao Hu – Journal of Computer Assisted Learning, 2024
Background: While the integration of robot-based learning in early childhood education has gained increasing attention in recent years, there is still a lack of evidence regarding the impact of AI robots on young children's learning. Objectives: The study explored the effectiveness of two AI education approaches in advancing kindergarteners'…
Descriptors: Early Childhood Education, Artificial Intelligence, Kindergarten, Program Effectiveness

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