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Dhaifallah Saleh Alsuhaymi; Ohood Mohammed Alotaibi – Journal of Education and e-Learning Research, 2023
This study aims to demonstrate the efficacy of gamification in developing HTML programming skills and academic achievement motivation for 10th-grade students. Despite the significance of computer programming in developing students' thinking, many students still need more motivation to learn it. One of the entertaining strategies of computer…
Descriptors: Gamification, Programming, Academic Achievement, Student Motivation
Tanaka, Tetsuo; Ueda, Mari – International Association for Development of the Information Society, 2023
In this study, the authors have developed a web-based programming exercise system currently implemented in classrooms. This system not only provides students with a web-based programming environment but also tracks the time spent on exercises, logging operations such as program editing, building, execution, and testing. Additionally, it records…
Descriptors: Scores, Prediction, Programming, Artificial Intelligence
Holo, O. E.; Kveim, E. N.; Lysne, M. S.; Taraldsen, L. H.; Haara, F. O. – Education Inquiry, 2023
This review article focuses on the teaching of computer programming in primary school mathematics, as reported by 37 empirical studies. Our findings show that a variety of research methods are used, which often combine qualitative and quantitative approaches. Furthermore, we found the focus of attention to vary from emphasis on the teacher and the…
Descriptors: Literature Reviews, Computer Science Education, Programming, Elementary School Mathematics
Wahid Yunianto; Adi Nur Cahyono; Theodosia Prodromou; Shereen El-Bedewy; Zsolt Lavicza – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2025
Creativity and problem-solving are 21st-century skills that we need to develop in our students. Research on computational thinking (CT) integration in school subjects and STEAM activities has shown a positive effect on students' problem-solving skills and creativity. Our study extends our previous work from the integration of CT in a mathematics…
Descriptors: Computation, Thinking Skills, STEM Education, Creativity
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)
Nikolaos Pellas – Computers in the Schools, 2024
There is substantial evidence that incorporating interactive environments for game-based instruction has a significant potential to support the development of computational thinking and programming skills in primary education students. However, it is not clear whether a simulation game (SG) with different user interface elements, created via…
Descriptors: Foreign Countries, Extracurricular Activities, Computer Science Education, Elementary School Students
David Roldan-Alvarez; Francisco J. Mesa – IEEE Transactions on Education, 2024
Artificial intelligence (AI) in programming teaching is something that still has to be explored, since in this area assessment tools that allow grading the students work are the most common ones, but there are not many tools aimed toward providing feedback to the students in the process of creating their program. In this work a small sized…
Descriptors: Intelligent Tutoring Systems, Grading, Artificial Intelligence, Feedback (Response)
Anas Husain – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study aims to investigate the perceptions of programming instructors among the Information Technology faculty members at AL al-Bayt University regarding the effectiveness of ChatGPT in supporting the programming instructional process. This study also aims to explore their experiences concerning the potential benefits and adverse…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Programming
Lou Schwartz; Valérie Maquil; Laurence Johannsen; Christian Moll; Johannes Hermen – Education and Information Technologies, 2024
Computational Thinking (CT) is an emerging topic in school curricula. Different tools exist to support the learning of CT, namely visual programming languages and tangible development platforms (TDP), which are widely used in extra-curricular activities. To date, few tools have been developed that consider both teachers' needs and the school…
Descriptors: Teaching Methods, Computation, Thinking Skills, Skill Development
Georgia M. Kapitsaki – IEEE Transactions on Education, 2024
Contribution: Reporting of students' view on the use of preparatory sprint and virtual meetings, as well as on the workload effort in combination with coding artifacts in a Scrum-variant project-based course. Background: Scrum has been adopted to a large extent in Software Engineering (SE) courses. Relevant aspects have been examined in the…
Descriptors: College Faculty, College Students, Computer Software, Programming
Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
Asma Hadyaoui; Lilia Cheniti-Belcadhi – Journal of Computer Assisted Learning, 2024
Background: Project-based collaborative learning (PBCL) is a technique that supports knowledge and skill development through complex, real-world projects. Understanding factors that influence group performance in PBCL, such as gender composition, is crucial. Objectives: This study investigates the impact of gender composition on group performance…
Descriptors: Gender Differences, Skill Development, Cooperative Learning, Active Learning
Santiago Ojeda-Ramirez; Daniel Ritchie; Mark Warschauer – CATESOL Journal, 2024
Artificial Intelligence technologies are becoming ubiquitous, transforming the workforce by altering or creating jobs and influencing decisions that affect minority communities. The necessity of AI literacy, comprising knowledge and skills for critical interaction with AI, is increasingly important. Multilingual learners, engaging with both every…
Descriptors: Middle School Students, Summer Programs, Camps, Artificial Intelligence
Minji Jeon; Kyungbin Kwon – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study investigated the computational thinking (CT) practices of eight pre-service teachers through their Scratch and Python programs. Conducted within an undergraduate-level computer science education course, students learned CT concepts via parallel instruction in block-based programming (Scratch) and text-based programming (Python). The…
Descriptors: Preservice Teacher Education, Preservice Teachers, Computation, Cognitive Processes
Fehaid Lafi Alshammari – Journal of Education and e-Learning Research, 2024
Microlearning is a modern learning modality that has been adopted in recent years for student education. This study aimed to reveal the effect of video-based microlearning on the development of programming skills and technology acceptance among intermediate school students. The study used a quasi-experimental design for two groups. A technology…
Descriptors: Foreign Countries, Middle School Students, Programming, Computer Science Education