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Shan Zhang; Priyadharshini Ganapathy Prasad; Noah L. Schroeder – Journal of Educational Computing Research, 2025
Given the ubiquity of artificial intelligence (AI), it is essential to empower students to become creators, designers, and producers of AI technologies, rather than limiting them to the role of informed consumers. To achieve this, learners need to be equipped with AI knowledge and concepts and develop AI literacy. Paradoxically, it is largely…
Descriptors: Artificial Intelligence, Technological Literacy, Teaching Methods, Instructional Materials
Holincheck, Nancy; Galanti, Terrie M.; Trefil, James – Journal of Educational Computing Research, 2022
The evolving digital world requires scientifically literate citizens who are able to critically evaluate Internet sources of varying credibility. Instruction on evidence evaluation in postsecondary education often focuses on peer-review as a singular indicator of credibility. With increased access to web-based scientific information, students must…
Descriptors: Digital Literacy, Scientific Literacy, Computation, Thinking Skills
Zhu, Sha; Yang, Harrison Hao; Wu, Di; Chen, Feixiong – Journal of Educational Computing Research, 2021
Although the current landscape in education emphasizes the importance of developing students' information literacy in formal education settings, little attention has been paid to information literacy within the context of social media use. This study investigated the relationship between information literacy and social media competence (SMC) among…
Descriptors: Correlation, Information Literacy, Media Literacy, Social Media
Chien Wen Yuan; Hsin-yi Sandy Tsai; Yu-Ting Chen – Journal of Educational Computing Research, 2024
The rapid evolution of AI technologies has reshaped our daily lives. As AI systems become increasingly prevalent, AI literacy, the ability to comprehend and engage with these technologies, becomes paramount in modern society. However, existing research has yet to establish a comprehensive framework for AI literacy. This study aims to fill this gap…
Descriptors: Holistic Approach, Measures (Individuals), Artificial Intelligence, Multiple Literacies
Andreas Giannakoulas; Stelios Xinogalos – Journal of Educational Computing Research, 2025
This study critically reviews sixteen empirical studies that investigate the various difficulties that primary school students encounter while learning programming through educational games. Specifically, the challenges that students face in understanding basic programming concepts and the game elements that contribute to these difficulties, as…
Descriptors: Elementary School Students, Elementary School Teachers, Programming, Game Based Learning
Validation of an Instrument for Preservice Teachers and an Investigation of Their New Media Literacy
Kara, Mehmet; Caner, Sonay; Günay Gökben, Ayse; Cengiz, Ceyda; Isgör Simsek, Esra; Yildirim, Soner – Journal of Educational Computing Research, 2018
This study aims to validate a recent new media literacy (NML) instrument and investigating NML levels of Turkish preservice teachers. A refined NML framework formed the theoretical basis of the study. The data were collected from 972 preservice teachers enrolled in 11 teacher training programs in 5 public universities in Turkey. The language…
Descriptors: Foreign Countries, Measures (Individuals), Preservice Teachers, Media Literacy
Chung-Yuan Hsu; Meng-Jung Tsai – Journal of Educational Computing Research, 2024
This research aimed to investigate the structural relationships among teachers' computational thinking (CT), design thinking (DT), robotics teaching beliefs, and robotics pedagogical content knowledge (RPCK). A total of 98 in-service and pre-service teachers who participated in a robotics teaching professional development workshop served as the…
Descriptors: Robotics, Computer Science Education, Factor Analysis, Technological Literacy
Jiangyue Liu; Siran Li; Qianyan Dong – Journal of Educational Computing Research, 2024
The emergence of Generative Artificial Intelligence (GAI) has caused significant disruption to the traditional educational teaching ecosystem. GAI possesses remarkable capabilities in generating human-like text and boasts an extensive knowledge repository, thereby paving the way for potential collaboration with humans. However, current research on…
Descriptors: Artificial Intelligence, Learning Analytics, Computer Uses in Education, Instructional Design
Tsai, Meng-Jung; Wang, Ching-Yeh; Hsu, Po-Fen – Journal of Educational Computing Research, 2019
Computer programming has been gradually emphasized in recent computer literacy education and regarded as a requirement for all middle school students in some countries. To understand young students' perceptions about their own learning in computer programming, this study aimed to develop an instrument, Computer Programming Self-Efficacy Scale…
Descriptors: Programming, Computer Literacy, Middle School Students, Student Attitudes
Yu, Rushi; Wang, Meishu; Hu, Jie – Journal of Educational Computing Research, 2023
The age of information and communication technology (ICT) has witnessed the prevalence of computer-based reading. Previous studies yielded mixed results concerning the relationship between ICT perceived competence, ICT use and digital reading performance, and the underlying mechanism was rarely explored. This study aimed to explore the…
Descriptors: Technological Literacy, Competence, Self Concept, Reading Skills
Abrache, Mohamed-Amine; Bendou, Abdelkrim; Cherkaoui, Chihab – Journal of Educational Computing Research, 2021
Peer assessment is a method that has shown a positive impact on learners' cognitive and metacognitive skills. It also represents an effective alternative to instructor-provided assessment within computer-based education and, particularly, in massive online learning settings such as MOOCs. Various platforms have incorporated this mechanism as an…
Descriptors: Peer Evaluation, Mathematics, Online Courses, College Students
Tran, Yune – Journal of Educational Computing Research, 2019
The Computer Science Teachers Association has asserted that computational thinking equips students with essential critical thinking which allows them to conceptualize, analyze, and solve more complex problems. These skills are applicable to all content area as students learn to use strategies, ideas, and technological practices more effectively as…
Descriptors: Equal Education, Elementary School Students, Pretests Posttests, Computer Science Education
Chen, Fu; Sakyi, Alfred; Cui, Ying – Journal of Educational Computing Research, 2022
Few of previous reading studies "comprehensively" examined the contributing factors of students' digital reading literacy. To fill this gap, based upon the ecological perspective, this study aims to investigate which factors from the student, home, and school context are more important in discriminating high-performing digital readers…
Descriptors: Reading Skills, Literacy, Electronic Publishing, Printed Materials
Qing Guo; Junwen Zhen; Fenglin Wu; Yanting He; Cuilan Qiao – Journal of Educational Computing Research, 2025
The rapid development of large language models (LLMs) presented opportunities for the transformation of science and STEM education. Research on LLMs was in the exploratory phase, characterized by discussions and observations rather than empirical investigations. This study presented a framework for incorporating LLMs into Science and Engineering…
Descriptors: STEM Education, Computational Linguistics, Teaching Methods, Educational Change
Ouyang, Fan; Chen, Si; Yang, Yuqin; Chen, Yunqing – Journal of Educational Computing Research, 2022
Group-level metacognitive scaffolding is critical for productive knowledge building. However, previous research mainly focuses on the individual-level metacognitive scaffoldings in helping learners improve knowledge building, and little effort has been made to develop group-level metacognitive scaffolding (GMS) for knowledge building. This…
Descriptors: Metacognition, Scaffolding (Teaching Technique), Teaching Methods, Faculty Development