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Lin, Yi-Ling; Chien, Shih-Yi; Su, Wei-Cheng; Hsiao, Sharon Ihan – Education and Information Technologies, 2023
There are plentiful online programming resources that enable learners to develop an understanding of conceptual knowledge and practical implementation. However, learners, especially novices, often experience difficulties locating the required information to solve the programming problems. Differ from natural language in syntax and convention,…
Descriptors: Programming, Game Based Learning, Concept Formation, Learner Engagement
Gary K. W. Wong; Shan Jian; Ho-Yin Cheung – Education and Information Technologies, 2024
This study examined the developmental process of children's computational thinking using block-based programming tools, specifically algorithmic thinking and debugging skills. With this aim, a group of children (N = 191) from two primary schools were studied for two years beginning from the fourth grade, as they engaged in our block-based…
Descriptors: Thinking Skills, Skill Development, Computation, Algorithms
Kuuku Nyameye Wilson; Benjamin Ghansah; Patricia Ananga; Stephen Opoku Oppong; Winston Kwamina Essibu; Einstein Kow Essibu – Education and Information Technologies, 2025
This systematic literature review examines the use of computer games as instructional aids in the teaching and learning of programming. With the ubiquitous nature of technology permeating various aspects of modern life, the integration of gaming devices into educational settings has garnered increased attention. This paper investigates whether…
Descriptors: Literature Reviews, Computer Games, Technology Uses in Education, Educational Technology
Tisza, Gabriella; Markopoulos, Panos; King, Heather – Education and Information Technologies, 2023
Programming and creative thinking are important skills for the twenty-first century. A large body of evidence suggests that a playful approach to learning helps children engage deeply with programming, improves their creative thinking skills, and shapes a positive attitude towards programming. However, such research has rarely considered how…
Descriptors: Socioeconomic Background, Childrens Attitudes, Programming, Creative Thinking
Garces, Sebastian; Vieira, Camilo; Ravai, Guity; Magana, Alejandra J. – Education and Information Technologies, 2023
Worked examples can help novice learners develop early schemata from an expert's solution to a problem. Nonetheless, the worked examples themselves are no guarantee that students will explore these experts' solutions effectively. This study explores two different approaches to supporting engineering technology students' learning in an…
Descriptors: Learner Engagement, Active Learning, Programming, Engineering Education
Ma, Ning; Qian, Jinglong; Gong, Kaixin; Lu, Yao – Education and Information Technologies, 2023
Computational thinking is an important competence for learners in the twenty-first century. As an effective approach for cultivating competence in computational thinking, programming education has been extended from college to elementary school teaching. However, it is challenging to engage beginners in programming in elementary school education.…
Descriptors: Elementary School Students, Programming, Computer Science Education, Novices
Chamindi Kavindya Samarasekara; Claudia Ott; Anthony Robins – Education and Information Technologies, 2024
A global concern in recent years has been the formal incorporation of computing and digital technology subjects into high school curricula. Despite many initiatives to make these subjects accessible to students, significant barriers to uptake remain in many countries. In this study we convened a panel of 32 academic, research, and other experts…
Descriptors: Secondary School Curriculum, Foreign Countries, Computer Science Education, Programming
Srivatanakul, Thitima – Education and Information Technologies, 2023
Teaching an introductory programming course to first-year students has long been a challenge for many college instructors. The COVID-19 pandemic, which caused unprecedented shifts in learning modality across the globe, has worsened the learning experience of novice programmers. Instructors have to find innovative ways to keep students engaged and…
Descriptors: COVID-19, Pandemics, Blended Learning, College Faculty
Hopcan, Sinan; Polat, Elif; Albayrak, Ebru – Education and Information Technologies, 2022
Programming knowledge is more important than ever in the digital world. However, teaching programming can be challenging, especially with novice learners. Considerable research has been conducted into the most effective methods for teaching programming. Extreme apprenticeship, a variation of cognitive apprenticeship, is a method that has been used…
Descriptors: Programming, Apprenticeships, Flipped Classroom, Conventional Instruction
Li, Qi; Jiang, Qiang; Liang, Jyh-Chong; Xiong, Weiyan; Liang, Yu; Zhao, Wei – Education and Information Technologies, 2023
Different instructional strategies have been drawn to assist elementary school students in improving computational thinking (CT) skills and student engagement (SE) in unplugged programming activities. This paper aimed to explore how the interactive strategies of unplugged programming affect CT skills and SE. The study was conducted based on a…
Descriptors: Elementary School Students, Programming, Computation, Thinking Skills
Lin, Xuefen; Tang, Wei; Ma, Weifeng; Liu, Yang; Ding, Feng – Education and Information Technologies, 2023
The use of video lectures has become a core feature of digital learning, but how the media diversity carried in videos affects learning experience has been rarely studied. Adopting a two-factor experimental design, this study used cognitive style questionnaires, brain wave detection, cognitive load scale, and post-test to explore the impacts of…
Descriptors: Cognitive Style, Learning Experience, Programming, Video Technology
Amoudi, Ghada; Tbaishat, Dina – Education and Information Technologies, 2023
Social network analysis involves delicate and sophisticated mathematical concepts which are abstract and challenging to acquire by traditional methods. Many studies show that female students perform poorly in computer science-related courses compared to male students. To address these issues, this research investigates the impact of employing a…
Descriptors: Computer Science, Graduate Students, Outcomes of Education, Educational Technology
Xin Gong; Zhixia Li; Ailing Qiao – Education and Information Technologies, 2025
Feedback is crucial during programming problem solving, but context often lacks critical and difference. Generative artificial intelligence dialogic feedback (GenAIDF) has the potential to enhance learners' experience through dialogue, but its effectiveness remains sufficiently underexplored in empirical research. This study employed a rigorous…
Descriptors: Artificial Intelligence, Technology Uses in Education, Dialogs (Language), Feedback (Response)
Ishihara, Makio; Rattanachinalai, Pongpun – Education and Information Technologies, 2022
This paper designs and develops a computer programming learning system for total beginners and those who have no programming experience. The traditional computer programming learning systems require prior knowledge about variables, their types, operators for arithmetic calculations and relational calculations etc., for adopting a wide range of…
Descriptors: Computer Science Education, Programming, Novices, Task Analysis
Olelewe, Chijioke Jonathan; Agomuo, Emmanuel E.; Obichukwu, Peter Uzochukwu – Education and Information Technologies, 2019
Achieving learner engagement in the teaching and learning process is paramount towards ensuring knowledge retention in QBASIC programming. This study focuses on effects of b-learning and face-to-face (F2F) on college students' engagement and retention in QBASIC programming. The study adopted quasi-experimental design with non-equivalent group…
Descriptors: College Students, Learner Engagement, Retention (Psychology), Programming
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