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Abed, Fayez; Barzilai, Sarit – Journal of Computer Assisted Learning, 2023
Background: YouTube is widely used for learning about scientific issues in and out of school. However, much of the scientific information on YouTube is inaccurate. Prior studies have mostly focused on how students evaluate textual online information sources and have not yet systematically examined how they evaluate authentic scientific YouTube…
Descriptors: Video Technology, Web Sites, Evaluative Thinking, Scientific and Technical Information
Hadad, Shlomit; Watted, Abeer; Blau, Ina – Journal of Computer Assisted Learning, 2023
Background: Integration of digital technologies in schools raises the need of students to master technological, cognitive, and social digital literacy (DL) competencies. Objectives: Based on Hofstede's dimensional paradigm for defining culture, we address the cultural context and examine perceived and actual DL of Arabic-speaking minority students…
Descriptors: Cultural Background, Digital Literacy, Cultural Context, Arabic
Kiili, Carita; Räikkönen, Eija; Bråten, Ivar; Strømsø, Helge I.; Hagerman, Michelle Schira – Journal of Computer Assisted Learning, 2023
Background: Previous research indicates that students lack sufficient online credibility evaluation skills. However, the results are fragmented and difficult to compare as they are based on different types of measures and indicators. Consequently, there is no clear understanding of the structure of credibility evaluation. Objectives: The present…
Descriptors: Grade 6, Credibility, Information Literacy, Evaluation
A. M. Alexandra Schmitterer; Leonard. D. Tetzlaff; Marcus Hasselhorn; Garvin Brod – Journal of Computer Assisted Learning, 2024
Background: Learning Progress Assessments (LPA) have been developed to help teachers individualize their curriculum. The use of LPA is facilitated by an increasing number of computerized LPA tools. However, little is known about student factors that influence the effectiveness of computerized LPA. Objectives: In this study, we explored whether a…
Descriptors: Progress Monitoring, Student Evaluation, Information Technology, Influences
Verwimp, Cara; Snellings, Patrick; Wiers, Reinout W.; Tijms, Jurgen – Journal of Computer Assisted Learning, 2023
Background: Learning which letters correspond to which speech sounds is fundamental for learning to read. Based on previous experimental studies, we developed a serious game aiming to boost letter-speech sound (L-SS) correspondences in a motivational game environment. Objectives: The goal of this study was to determine the efficacy of this game in…
Descriptors: Phoneme Grapheme Correspondence, Reading Instruction, Game Based Learning, Program Effectiveness
Niina Niinimäki; Kati Sormunen; Pirita Seitamaa-Hakkarainen; Sini Davies; Kaiju Kangas – Journal of Computer Assisted Learning, 2025
Background: Implementing maker education in schools is on the rise, fuelled by its potential to move formal education towards a creative, technology-driven 21st century learning culture. In maker education, collaborative learning takes place through and around various digital and traditional technologies, which provide the means for students'…
Descriptors: Cooperative Learning, Experiential Learning, Technological Literacy, Student Projects
Kevin Ackermans; Marjoke Bakker; Pierre Gorissen; Anne-Marieke Loon; Marijke Kral; Gino Camp – Journal of Computer Assisted Learning, 2024
Background: A practical test that measures the information and communication technology (ICT) skills students need for effectively using ICT in primary education has yet to be developed (Oh et al., 2021). This paper reports on the development, validation, and reliability of a test measuring primary school students' ICT skills required for…
Descriptors: Test Construction, Test Validity, Measures (Individuals), Elementary School Students
ElSayary, Areej – Journal of Computer Assisted Learning, 2023
Background: The emergence of remote teaching during the Coronavirus (COVID-19) pandemic caused several gaps due to teachers being unprepared to teach online. Teachers did not achieve many digital competencies, resulting in an inability to facilitate the students' learning by using technology creatively to overcome challenges. Accordingly,…
Descriptors: Skill Development, Job Training, Faculty Development, Teacher Competencies
Weipeng Yang; Xinyun Hu; Ibrahim H. Yeter; Jiahong Su; Yuqin Yang; John Chi-Kin Lee – Journal of Computer Assisted Learning, 2024
Background: Artificial Intelligence (AI) literacy is a crucial part of digital literacy that all individuals should possess in today's technologically advanced world. Despite the potential benefits that AI education offers, little research has been done on how to teach AI literacy to children. Objectives: This study aimed to fill that gap by…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Digital Literacy
Savva, Marilena; Higgins, Steve; Beckmann, Nadin – Journal of Computer Assisted Learning, 2022
Background: The array of availability of diverse digital reading applications, the mixed results emerging from small-scale experimental studies, as well as the long-standing tradition and range of known positive developmental outcomes gained from adult-child storybook reading warrant an investigation into electronic storybooks (e-books) by…
Descriptors: Preschool Children, Grade 1, Grade 2, Story Reading
Fan, Ting-Yu; Chen, Hsiu-Ling – Journal of Computer Assisted Learning, 2023
Background Study: English education has been promoted in Taiwan for many years. Recently, content and language integrated learning (CLIL) has received attention as an effective way to integrate English into real-life contexts. With advances in technology, digital storytelling is suitable for students to develop multiple skills such as narrating…
Descriptors: Cooperative Learning, Content and Language Integrated Learning, Elementary School Students, Electronic Learning
Aydin Bulut; Mustafa Yildiz – Journal of Computer Assisted Learning, 2024
Background: The use of computer-assisted reading comprehension is of critical importance in the context of promoting effective and engaging literacy education in the digital age. It provides students with the opportunity to work at their own pace and convenience, thereby facilitating self-directed learning and accommodating various learning…
Descriptors: Computer Assisted Instruction, Direct Instruction, Reading Comprehension, Technology Uses in Education
Vanbecelaere, Stefanie; Van den Berghe, Katrien; Cornillie, Frederik; Sasanguie, Delphine; Reynvoet, Bert; Depaepe, Fien – Journal of Computer Assisted Learning, 2020
For the training of academic skills, digital educational games with integrated adaptivity are promising. Adaptive games are considered superior to non-adaptive games, because they constantly assess children's performance, and accordingly adapt the difficulty of the tasks corresponding to the children's individual level. However, empirical evidence…
Descriptors: Educational Games, Computer Games, Adaptive Testing, Kindergarten
Amy Hutchison; Qi Si; Jamie Colwell; Erdogan Kaya; Eileen Jakeway; Brittany Miller; Kristie Gutierrez; Kelly Regan; Anna Evmenova – Journal of Computer Assisted Learning, 2025
Background: In recent years, computer science education has emerged as a necessary part of school curricula for students of all ages. With such momentum in this direction, it is essential that program designers, educators, and researchers ensure that computer science education is designed to be inclusive, effective, and engaging for all students.…
Descriptors: Coding, Instruction, Scaffolding (Teaching Technique), Literacy
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
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