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Showing 1 to 15 of 25 results Save | Export
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Jaewon Jung; Yoonhee Shin; HaeJin Chung; Mik Fanguy – Journal of Computing in Higher Education, 2025
This study investigated the effects of pre-training types on cognitive load, self-efficacy, and problem-solving in computer programming. Pre-training was provided to help learners acquire schemas related to problem-solving strategies. 84 undergraduate students were randomly assigned to one of three groups and each group received three different…
Descriptors: Training, Cognitive Processes, Difficulty Level, Self Efficacy
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Javier Del Olmo-Muñoz; Alicia Jiménez Toledo; Sergio Tirado-Olivares; José Antonio González-Calero; Ramón Cózar-Gutiérrez – Informatics in Education, 2025
The assessment of computational thinking (CT) is crucial for improving pedagogical practice, identifying areas for improvement, and implementing efficient educational interventions. Despite growing interest in CT in primary education, existing assessments often focus on specific dimensions, providing a fragmented understanding. In this research, a…
Descriptors: Computation, Thinking Skills, Elementary School Students, Grade 6
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Peidi Gu; Zui Cheng; Cheng Miaoting; John Poggio; Yan Dong – Journal of Computer Assisted Learning, 2025
Background: Today, the importance of STEM (Science, Technology, Engineering and Mathematics) education and training is widely recognised and accepted. Computer programming courses have become essential in higher education to nurture students' programming, analysis and computational skills, which are vital for success in all STEM fields and areas.…
Descriptors: Active Learning, Student Projects, Individualized Instruction, Student Motivation
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Güler Yavuz Temel; Julia Barenthien; Thore Padubrin – Education and Information Technologies, 2025
The integration of different technologies for formative assessment activities into the classroom is very important for the effectiveness of learning and teaching processes. This study is an experimental study in which the student teachers designed jupyter notebooks as formative assessment activities for specified aims and subject contents. For…
Descriptors: Computer Software, Formative Evaluation, Student Teachers, Student Teacher Attitudes
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Pruthikrai Mahatanankoon; James R. Wolf – Journal of Information Systems Education, 2025
Advances in information and communication technologies (ICT) coupled with artificial intelligence have made computer programming skills indispensable for IT majors and for an increasing number of other science, technology, engineering, and mathematics (STEM) disciplines. Like any hands-on skill, mastering computer programming requires dedicated…
Descriptors: Measures (Individuals), Programming, Undergraduate Students, Computer Science Education
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Xue Ran; Zhigang Li; Yalin Yang – SAGE Open, 2025
Against the backdrop of the deep integration of chatbots into education, this study, based on Self-Determination Theory (SDT) and the UTAUT model, constructed a model of factors influencing college students' self-directed learning ability in programming. Through a review of existing literature, six key determinants were identified: learning…
Descriptors: Programming, College Students, Independent Study, Artificial Intelligence
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Yin-Rong Zhang; Zhong-Mei Han; Tao He; Chang-Qin Huang; Fan Jiang; Gang Yang; Xue-Mei Wu – Journal of Computer Assisted Learning, 2025
Background: Collaborative programming is important and challenging for K12 students. Scaffolding is a vital method to support students' collaborative programming learning. However, conventional scaffolding that does not fade may lead students to become overly dependent, resulting in unsatisfactory programming performance. Objectives: This study…
Descriptors: Middle School Students, Grade 8, Scaffolding (Teaching Technique), Programming
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Hao-Chiang Koong Lin; Chun-Hsiung Tseng; Nian-Shing Chen – Educational Technology & Society, 2025
In recent years, learning programming has been a challenge for both learners and educators. How to enhance student engagement and learning outcomes has been a significant concern for researchers. This study examines the effects of AI-based pedagogical agents on students' learning experiences in programming courses, focusing on web game development…
Descriptors: Programming, Learner Engagement, Self Efficacy, Artificial Intelligence
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Chiao Ling Huang; Lianzi Fu; Shih-Chieh Hung; Shu Ching Yang – Journal of Computer Assisted Learning, 2025
Background: Many studies have highlighted the positive effects of visual programming instruction (VPI) on students' learning experiences, programming self-efficacy and flow experience. However, there is a notable gap in the research on how these factors specifically impact programming achievement and learning intentions. Our study addresses this…
Descriptors: Attention, Self Efficacy, Visual Aids, Instructional Effectiveness
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Wen-shuang Fu; Jia-hua Zhang; Di Zhang; Tian-tian Li; Min Lan; Na-na Liu – Journal of Educational Computing Research, 2025
Cognitive ability is closely associated with the acquisition of programming skills, and enhancing learners' cognitive ability is a crucial factor in improving the efficacy of programming education. Adaptive feedback strategies can provide learners with personalized support based on their learning context, which helps to stimulate their interest…
Descriptors: Feedback (Response), Cognitive Ability, Programming, Computer Science Education
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Tianxiao Yang; Jongpil Cheon – Computer Science Education, 2025
Background and context: There were few studies indicating if students' computational thinking (CT) self-efficacy and their CT performance were aligned with each other. Objectives: The study was to investigate if there was a discrepancy between students' CT self-efficacy and their CT performance. Method: Involving 104 non-CS undergraduate students…
Descriptors: Self Efficacy, Computer Science Education, Prediction, Teacher Expectations of Students
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Kiera E. B. McMaster; Saskia de Wildt; Sam Mishos; Erica Shardlow; Heather Castleden – Journal of Geography in Higher Education, 2025
Punk has its roots in the garage bands of the 1960s and 1970s as expressions of resistance to mainstream music. Punk, however, has evolved over time to encompass rebellion and an ethic of DIY (i.e. do it yourself) not just in music but in other domains to reject the status quo. Punk can be found in the university too. Podcasting and zines, for…
Descriptors: Audio Equipment, Electronic Publishing, Programming (Broadcast), Material Development
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Jale Kalemkus; Fatih Kalemkus – Science & Education, 2025
When the studies on the effectiveness of visual programming language are examined, it is seen that studies on coding teaching have been carried out frequently recently. In this study, Scratch was used as a teaching tool in teaching science lessons. In this way, a new perspective has been brought to Scratch applications. In the related study, the…
Descriptors: Design, Science Experiments, Programming Languages, Science Instruction
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Verica R. Milutinovic; Ivana Obradovic; Suzana Ðordevic – Educational Studies, 2025
Many countries are revising their computing curricula, including Serbia, where coding became a core subject in primary schools in 2017/2018. Gamification is a common teaching method, yet little research explores primary students' motivation to learn coding through gamification. This study aims to investigate the factors that influence primary…
Descriptors: Foreign Countries, Elementary School Students, Gamification, Coding
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Roxana Quintero-Manes; Camilo Vieira – Journal of Computing in Higher Education, 2025
This study had two objectives: (1) to evaluate the validity of an instrument for measuring differentiated cognitive loads in its Spanish version; and (2) to evaluate the three types of cognitive loads and their relationship with self-efficacy, self-concept, and interest in programming of students in an introductory course. Understanding and…
Descriptors: Cognitive Ability, Programming, Computer Science Education, Self Efficacy
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