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Per Anderhag; Niklas Salomonsson; Andre Bürgers; Cesar Estay Espinola; Birgit Fahrman; Dana Seifeddine Ehdwall; Maria Sundler – International Journal of Technology and Design Education, 2024
During a relatively short period of time, programming has been implemented in the national curriculum of the compulsory school in Sweden. Since 2018, programming is a new content in the technology subject and the research field has discussed some of the challenges teachers and students, who generally have little experiences of programming, face…
Descriptors: Learning Strategies, Programming, Robotics, Technology Education
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Franc Vrbancic; Slavko Kocijancic – Education and Information Technologies, 2024
Microcontroller programming competencies contribute to the sustainable employability of engineering graduates of both higher and secondary education. To develop the required programming skills, one of the challenges for educators is to determine which programming environments should be implemented in introductory programming courses. Conceptually,…
Descriptors: Programming, Competence, Introductory Courses, Secondary Education
Yuhan Lin – ProQuest LLC, 2024
Block-based programming environments have become increasingly commonplace in computer science education. Despite a rapidly expanding ecosystem of block-based programming environments, text-based languages remain the dominant programming paradigm outside of educational contexts, motivating the transition from block-based to text-based programming.…
Descriptors: Computer Science Education, Programming, Coding, Scaffolding (Teaching Technique)
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Dominic Lohr; Hieke Keuning; Natalie Kiesler – Journal of Computer Assisted Learning, 2025
Background: Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technology systems and is traditionally rooted in deterministic feedback defined by experts and their experience. However, with the rise of generative AI and especially large…
Descriptors: College Students, Programming, Artificial Intelligence, Feedback (Response)
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Leonardo Silva; António Mendes; Anabela Gomes; Gabriel Fortes – ACM Transactions on Computing Education, 2024
Self-regulation of learning (SRL) is an essential ability for academic success in multiple educational contexts, including programming education. However, understanding how students regulate themselves during programming learning is still limited. This exploratory research aimed to investigate the regulatory strategies externalized by 51 students…
Descriptors: Learning Strategies, Programming, Self Management, Introductory Courses
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Tetsuo Tanaka; Ryo Horiuchi; Mari Ueda – International Association for Development of the Information Society, 2024
We evaluate the effectiveness of reading aloud a program code in learning programming from a neuroscientific perspective by measuring brain activity using a near-infrared spectroscopy device. The results show that when reading aloud and then reading silently, brain activity increases during reading aloud; a similar trend is observed when the…
Descriptors: Oral Reading, Programming, Coding, Neurosciences
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Chun-Yen Tsai; Yun-An Chen; Fu-Pei Hsieh; Min-Hsiung Chuang; Chien-Liang Lin – Journal of Educational Computing Research, 2024
In higher education, it is challenging to cultivate non-computer science majors' programming concepts. This study used the GAME model (gamification, assessment, modeling, and enquiry) in a programming education course to enhance undergraduates' self-efficacy and performance of basic programming concepts. There were 83 undergraduates taking part in…
Descriptors: Programming, Undergraduate Students, Self Efficacy, Gamification
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Huiyan Ye; Oi-Lam Ng; Zhihao Cui – Journal of Educational Computing Research, 2024
Computational thinking (CT) has received much attention in mathematics education in recent years, and researchers have begun to experiment with the integration of CT into mathematics education to promote students' CT and mathematical thinking (MT) development. However, there is a lack of empirical evidence and new theoretical perspectives on the…
Descriptors: Programming, Thinking Skills, Mathematics Skills, Mathematical Logic
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Margulieux, Lauren E.; Catrambone, Richard – Journal of Computing in Higher Education, 2021
Procedural problem solving is an important skill in most technical domains, like programming, but many students reach problem solving impasses and flounder. In most formal learning environments, instructors help students to overcome problem solving impasses by scaffolding initial problem solving. Relying on this type of personalized interaction,…
Descriptors: Scaffolding (Teaching Technique), Problem Solving, Learning Strategies, Programming
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Yildiz Durak, Hatice; Atman Uslu, Nilüfer – Educational Technology Research and Development, 2023
The main purpose of Computer-Supported Collaborative Learning (CSCL) is to improve academic performance through collaborative systems design. To increase the quantity and quality of interactions in CSCL and to reduce feelings of loneliness and burnout during online learning, learner group regulation should be supported. According to the…
Descriptors: Learning Strategies, Group Dynamics, Cooperative Learning, Computer Assisted Instruction
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Tikva, Christina; Tambouris, Efthimios – Education and Information Technologies, 2023
Teaching and learning Computational Thinking (CT) is at the forefront of educational interest. In the process of teaching and learning CT, learning strategies and tools play an important role. Efforts have been made to apply several learning strategies for teaching Computational Thinking. Among them, game-based learning and scaffolding are widely…
Descriptors: Programming, Game Based Learning, Computation, Thinking Skills
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Torres Jiménez, Stephanie; Ramírez-Echeverry, Jhon Jairo; Restrepo-Calle, Felipe – Journal of Educational Computing Research, 2024
This article presents the design, construct validation, and reliability of a self-report instrument in Spanish that aims to characterize different types of strategies that students can use to learn computer programming. We provide a comprehensive overview of the identification of learning strategies in the existing literature, the design and…
Descriptors: Test Construction, Construct Validity, Test Reliability, Questionnaires
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Gamze Türkmen; Sinan Hopcan; Elif Polat – Journal of Learning and Teaching in Digital Age, 2024
This research explores how metacognitive strategies influence the metacognitive awareness of undergraduate students enrolled in an online flipped programming course. It specifically focuses on regulatory actions crucial for success in programming instruction and distance education settings. The primary objective is to contribute to the existing…
Descriptors: Undergraduate Students, Metacognition, Online Courses, Programming
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Öztürk, Mücahit – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this study was to investigate the effect of self-regulated programming learning on undergraduate students' academic performance and motivation compared to traditional methods. Design/methodology/approach: This study was conducted with an explanatory sequential mixed method. Participants consist of 31 undergraduate students…
Descriptors: Undergraduate Students, Student Motivation, Academic Achievement, Independent Study
Nischal Shrestha – ProQuest LLC, 2022
Data science programming presents many challenges for programmers entering the field. Roughly, data science programming can be broken up into several activities: data wrangling, analysis, modeling, or visualization. Data wrangling is an important first step that involves cleaning and shaping tabular data--or dataframes--into a form amenable for…
Descriptors: Data Science, Programming, Learning Strategies, Programming Languages
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