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Eman Abdullah AlOmar – ACM Transactions on Computing Education, 2025
Large Language Models (LLMs), such as ChatGPT, have become widely popular for various software engineering tasks, including programming, testing, code review, and program comprehension. However, their impact on improving software quality in educational settings remains uncertain. This article explores our experience teaching the use of Programming…
Descriptors: Coding, Natural Language Processing, Artificial Intelligence, Computer Software
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Ayaan M. Kazerouni; Melissa Lee; Aleata Hubbard Cheuoua; Aakash Gautam; Sahar Hooshmand; Paul Salvador Inventado; Eun-Young Kang; Jane Lehr; Yu Sun; Kevin A. Wortman; Ilmi Yoon; Zoë Wood – ACM Transactions on Computing Education, 2025
Background and Context. Computing is considered a fundamental skill for civic engagement, self-expression, and employment opportunity. Despite this, there exist significant equity gaps in post-secondary computing enrollment and retention. Specifically, in the California State University (CSU) system, which serves close to half a million…
Descriptors: Computer Science Education, Social Responsibility, Introductory Courses, Undergraduate Students
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Chunhua Lu; Shan Zhang; Xuchen Yu; Qi Wang – Education and Information Technologies, 2025
This study aims to investigate the role of social support--specifically from family, teachers, and peers--in enhancing computational thinking (CT) abilities among elementary school students. Grounded in social support theory, the scales related to teacher, parental, and peer support were adapted from the PSIA test. After ensuring their reliability…
Descriptors: Elementary School Students, Teacher Student Relationship, Social Support Groups, Student Surveys
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Haoming Wang; Chengliang Wang; Zhan Chen; Fa Liu; Chunjia Bao; Xianlong Xu – Education and Information Technologies, 2025
With the rapid development of artificial intelligence technology in the field of education, AI-Agents have shown tremendous potential in collaborative learning. However, traditional Computer-Supported Collaborative Learning (CSCL) methods still have limitations in addressing the unique demands of programming education. This study proposes an…
Descriptors: Artificial Intelligence, Cooperative Learning, Programming, Computer Science Education
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Ibrahim Abba Mohammed; Ahmed Bello; Bala Ayuba – Education and Information Technologies, 2025
In spite of the emergence of studies seeking to integrate chatbot into education, there is a wide literature gap in the Nigerian contexts. While most studies focus on the design and development of chatbots, there exists a very scarce literature on the effect of ChatGPT chatbot on students' achievement. To address this gap, this study checked the…
Descriptors: Natural Language Processing, Artificial Intelligence, Academic Achievement, Computer Science Education
Michelle Hodara; Ming Yin – Education Northwest, 2025
Computational thinking encompasses proficiencies in computer science and general problem-solving and can support students' learning across subject areas and success in science, technology, engineering, and mathematics (STEM) education and career pathways. To support students' STEM outcomes, many school districts are offering computer science…
Descriptors: Computation, Thinking Skills, Outcomes of Education, STEM Education
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Sarah L. Rodriguez; Amanda Ross – Computer Science Education, 2025
Background and Context: Hispanic-serving community colleges represent promising sites for broadening participation and enhancing computing interests around AI. Objectives: This study investigated how students enrolled in an introductory AI computing course at an HSCC made meaning of their course experiences and how they described their interest in…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Technology Integration
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Ruta Pirta-Dreimane; Agne Brilingaite; Evita Roponena; Karen Parish; Janis Grabis; Ricardo Gregorio Lugo; Martinš Bonders – Technology, Knowledge and Learning, 2025
Incorporating gamification elements and innovative approaches in training programs are promising for addressing cybersecurity knowledge gaps. Cybersecurity education should combine hard and soft skill development when building the capacity to manage cyber incidents requiring timely communication, team collaboration, and self-efficacy in risk…
Descriptors: Computer Security, Computer Science Education, Educational Games, Gamification
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Iria Estévez-Ayres; Patricia Callejo; Miguel Ángel Hombrados-Herrera; Carlos Alario-Hoyos; Carlos Delgado Kloos – International Journal of Artificial Intelligence in Education, 2025
The emergence of Large Language Models (LLMs) has marked a significant change in education. The appearance of these LLMs and their associated chatbots has yielded several advantages for both students and educators, including their use as teaching assistants for content creation or summarisation. This paper aims to evaluate the capacity of LLMs…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Mediated Communication, Technology Uses in Education
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Ananth Jillepalli – ACM Transactions on Computing Education, 2025
I explore Neoliberalism and its effects on Computing Education and Research. I begin the exploration by analyzing the impact of declining state funding for higher education. I discuss the following mechanisms used by higher-ed institutions to cope with declines in state support: managerial culture, increased students' fees, privatization of…
Descriptors: Neoliberalism, Computer Science Education, Educational Research, Educational Finance
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Christian Basil Omeh; Musa Adekunle Ayanwale; Lindelani E. Mnguni; Chijioke Jonathan Olelewe – Journal of New Approaches in Educational Research, 2025
Despite the increasing emphasis on computational literacy in higher education, we observed that many undergraduate students particularly in developing contexts struggle to master fundamental programming skills and develop critical thinking. Conventional instructional approaches often lack interactivity and personalized scaffolding, which are…
Descriptors: Skill Development, Programming, Computer Science Education, Critical Thinking
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Furkan Yucel; Hasret Sultan Unal; Elif Surer; Nejan Huvaj – IEEE Transactions on Learning Technologies, 2024
Laboratory experience is an integral part of the undergraduate curriculum in most engineering courses. When physical learning is not feasible, and when the demand cannot be met through actual hands-on laboratory sessions, as has been during the COVID-19 pandemic, virtual laboratory courses can be considered as an alternative education medium. This…
Descriptors: Electronic Learning, Engineering Education, COVID-19, Pandemics
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Jim Marquardson – Information Systems Education Journal, 2024
Generative artificial intelligence (AI) tools were met with a mix of enthusiasm, skepticism, and fear. AI adoption soared as people discovered compelling use cases--developers wrote code, realtors generated narratives for their websites, students wrote essays, and much more. Calls for caution attempted to temper AI enthusiasm. Experts highlighted…
Descriptors: Artificial Intelligence, Capstone Experiences, Computer Security, Information Security
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Shonn Cheng; Hsuan-Pu Chang; Sheng-Shiang Tseng – European Journal of Psychology of Education, 2024
The goal of the present study was to explore the relations among perceived psychosocial learning environments, instructional modality, motivation, self-regulated learning, and academic achievement in blended computer science education. The participants were 207 undergraduate students enrolled in a blended online and face-to-face design course. We…
Descriptors: Undergraduate Students, Computer Science Education, Blended Learning, Student Motivation
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Yuan-Chen Liu; Tzu-Hua Huang; Chien-Chia Huang – Interactive Learning Environments, 2024
In this study, an interactive programming learning environment was built with two types of error prompt functions: 1) the key prompt and 2) step-by-step prompt. A quasi-experimental study was conducted for five weeks, in which 75 sixth grade students from disadvantaged learning environments in Taipei, Taiwan, were divided into three groups: 1) the…
Descriptors: Programming, Computer Science Education, Cues, Grade 6
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