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Direct linkWei Li; Cheng-Ye Liu; Judy C. R. Tseng – British Journal of Educational Technology, 2024
Collaborative programming helps improve students' computational thinking and increases their confidence in solving programming problems. However, the effect of collaborative learning is not ideal because it is difficult for students to mobilize metacognition to regulate learning spontaneously. To guide students to effectively regulate the learning…
Descriptors: Foreign Countries, Junior High School Students, Metacognition, Academic Achievement
Download full textKocaman, Berrak – International Journal of Educational Methodology, 2023
This research aims to examine the effect of coding education on the analytical thinking skills of gifted students. The participants are 18 students, 11 to 12 years old. An embedded experimental mixed design was used in the research. The data collection was carried out with the Analytical Thinking Skill Scale to determine the difference in the…
Descriptors: Programming, Computer Science Education, Thinking Skills, Academically Gifted
Emre Eçier; Serkan Izmirli – Journal of Educational Technology and Online Learning, 2024
The primary aim of this research is to assess the digital fluency levels of high school students and to investigate how digital fluency varies according to different variables. The study employed a descriptive research design using survey methodology. A total of 698 students from various high schools in Çanakkale province, Türkiye, representing…
Descriptors: High School Students, Foreign Countries, Gender Differences, Grade Level Differences
Tsai, Chih-Cheng; Cheng, Yuh-Min; Tsai, Yu-Shan; Lou, Shi-Jer – Education Sciences, 2021
In this study, experimental teaching was conducted through the artificial intelligence of things (AIOT) practical course, and the 4D (discover, define, develop, deliver) double diamond shape was used to design the course and plan the teaching content to observe the students' self-efficacy and learning anxiety. The technology acceptance model (TAM)…
Descriptors: High School Students, Student Satisfaction, Value Judgment, Usability
Suárez, Maria del Mar; Gesa, Ferran – Language Learning Journal, 2019
Video viewing can be a valuable resource to expose students to large quantities of input so they can improve their vocabulary and content comprehension. Most studies so far have used short clips and have not explored in much detail the effects of individual differences (IDs) such as aptitude, listening skills and vocabulary size. This paper aims…
Descriptors: Language Proficiency, Vocabulary Development, Television, Programming (Broadcast)
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Kay, Robin – Canadian Journal of Learning and Technology, 2006
Previous research on online discussions has focused on university students learning higher level subjects. The purpose of the current study was to examine whether online discussions could be used effectively by secondary school students attempting to learn introductory level topics. Forty-five male students, ranging in age from 13 to 15 years…
Descriptors: Asynchronous Communication, Computer Mediated Communication, Electronic Learning, Programming
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
