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Tsung-Chih Hsiao; Ya-Hsueh Chuang; Chien-Yun Chang; Tzer-Long Chen; Hong-Bo Zhang; Jhih-Chung Chang – SAGE Open, 2023
The capability of computer programming language logic is one of the basics of technical education. How to improve students "interest in program logic design and help overcome students" fears of coding has become vital for educators. Cultivating practical talents with information technology application and basic programming development…
Descriptors: Computer Science Education, Computation, Thinking Skills, Programming
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Ankora, Carlos; Bolatimi, Stephen Oladagba; Bensah, Lily; Mahama, Francois; Kuadey, Noble Arden; Adu, Adolph Sedem Yaw; Adjei, Laurene – Journal of Computer Assisted Learning, 2023
Background: The degree to which Computer Science (CS) and Information Communication Technology (ICT) students are motivated to learn greatly impacts their study habits, academic achievement in school and ultimately their job prospects. In recent times, skills in programming languages have become vital in searching for employment. Objective: This…
Descriptors: College Students, Student Motivation, Course Selection (Students), Programming Languages
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João Piedade; Nuno Dorotea – Informatics in Education, 2023
Computational Thinking (CT) has emerged in recent years as a thematic trend in education in many countries and several initiatives have been developed for its inclusion in school curricula. There are many pedagogical strategies to promote the development of elementary school students' CT skills and knowledge. Unplugged learning tasks, block-based…
Descriptors: Programming, Programming Languages, Grade 4, Elementary School Students
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Angxuan Chen; Yuang Wei; Huixiao Le; Yan Zhang – British Journal of Educational Technology, 2026
This study investigates the potential of using ChatGPT as a teachable agent to support students' learning through teaching, specifically in programming education. While learning by teaching (LBT) is an effective pedagogical strategy, traditional teachable agents often struggle with facilitating dynamic, dialogue-based interactions. Our research…
Descriptors: Artificial Intelligence, Technology Uses in Education, Programming, Natural Language Processing
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Dorodchi, Mohsen; Dehbozorgi, Nasrin; Fallahian, Mohammadali; Pouriyeh, Seyedamin – Informatics in Education, 2021
Teaching software engineering (SWE) as a core computer science course (ACM, 2013) is a challenging task. The challenge lies in the emphasis on what a large-scale software means, implementing teamwork, and teaching abstraction in software design while simultaneously engaging students into reasonable coding tasks. The abstraction of the system…
Descriptors: Computer Science Education, Computer Software, Teaching Methods, Undergraduate Students
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Lafuente, Deborah; Cohen, Brenda; Fiorini, Guillermo; Garci´a, Agusti´n Alejo; Bringas, Mauro; Morzan, Ezequiel; Onna, Diego – Journal of Chemical Education, 2021
Machine learning, a subdomain of artificial intelligence, is a widespread technology that is molding how chemists interact with data. Therefore, it is a relevant skill to incorporate into the toolbox of any chemistry student. This work presents a workshop that introduces machine learning for chemistry students based on a set of Python notebooks…
Descriptors: Undergraduate Students, Chemistry, Electronic Learning, Artificial Intelligence
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Ishaya Gambo; Faith-Jane Abegunde; Omobola Gambo; Roseline Oluwaseun Ogundokun; Akinbowale Natheniel Babatunde; Cheng-Chi Lee – Education and Information Technologies, 2025
The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…
Descriptors: Automation, Grading, Artificial Intelligence, Computer Assisted Testing
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Siu-Cheung Kong; Ting-jun Lin – Education and Information Technologies, 2025
This study aims to understand how to improve teachers' perceptions of SCT and their SCT strategies via teacher development, with the purpose of effectively promoting Student-Centred Teaching (SCT) in programming education. A mixed-methods approach was used to investigate the changes in teachers' perceptions of and strategies for SCT in programming…
Descriptors: Teacher Attitudes, Attitude Change, Educational Strategies, Student Centered Learning
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Joohi Lee; Sham'ah Yunus; Joo Ok Lee – Early Childhood Education Journal, 2025
Robotics has emerged as a popular interdisciplinary pedagogical approach in the field of education to teach children STEM concepts. By providing playful learning experiences, the use of robots engages children in an active learning process, making it an effective tool to promote their targeted knowledge, skills, and disposition towards STEM,…
Descriptors: Preschool Children, Preschool Education, Programming, Skill Development
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Heidi Taveter; Marina Lepp – Informatics in Education, 2025
Learning programming has become increasingly popular, with learners from diverse backgrounds and experiences requiring different support. Programming-process analysis helps to identify solver types and needs for assistance. The study examined students' behavior patterns in programming among beginners and non-beginners to identify solver types,…
Descriptors: Behavior Patterns, Novices, Expertise, Programming
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Athitaya Nitchot; Lester Gilbert – Education and Information Technologies, 2025
Learning programming is a complex process that requires understanding abstract concepts and solving problems efficiently. To support and motivate students, educators can use technology-enhanced learning (TEL) in the form of visual tools for knowledge mapping. Mytelemap, a prototype tool, uses TEL to organize and visualize information, enhancing…
Descriptors: Learning Motivation, Concept Mapping, Programming, Computer Science Education
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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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Rajagopal Sankaranarayanan; Mohan Yang; Kyungbin Kwon – Journal of Computing in Higher Education, 2025
The purpose of this study is to explore the influence of the microlearning instructional approach in an online introductory database programming classroom. The ultimate goal of this study is to inform educators and instructional designers on the design and development of microlearning content that maximizes student learning. Grounded within the…
Descriptors: Teaching Methods, Introductory Courses, Databases, Programming
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Tang Wee Teo; Sherwin John San Buenaventura Mabulo; Kim Chwee Daniel Tan; Jin Xin Matilda Ho; Xue Xian Thea Tan – Journal of Science Education and Technology, 2025
STEM (science, technology, engineering, mathematics) hackathons have been conducted to offer opportunities for diverse participants to work collaboratively and intensely on tasks within a short period. However, most literature about hackathons does not offer theoretical discussions on the affordances of such learning contexts for school students.…
Descriptors: Epistemology, STEM Education, Computer Security, Programming
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Joyce M. W. Moonen-van Loon; Jeroen Donkers – Practical Assessment, Research & Evaluation, 2025
The reliability of assessment tools is critical for accurately monitoring student performance in various educational contexts. When multiple assessments are combined to form an overall evaluation, each assessment serves as a data point contributing to the student's performance within a broader educational framework. Determining composite…
Descriptors: Programming Languages, Reliability, Evaluation Methods, Student Evaluation
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