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Mark Frydenberg; Anqi Xu; Jennifer Xu – Information Systems Education Journal, 2025
This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…
Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance
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Nichole Orench-Rivera; April Bednarski; Paul Craig; Austin Talbot – Journal of College Science Teaching, 2025
Advancements in computation and machine learning have revolutionized science, enabling researchers to address once insurmountable challenges. Bioinformatics, a field that heavily relies on computer-driven analysis of biological data, has greatly benefited from these developments. However, traditional bioinformatics instruction frequently lacks the…
Descriptors: Coding, Computer Science Education, Integrated Curriculum, Programming
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Nikola Luburic; Jelena Slivka; Luka Doric; Simona Prokic; Aleksandar Kovacevic – Education and Information Technologies, 2025
Project-based learning (PBL) is a learning technology praised for its ability to grow domain-specific and domain-general skills and related knowledge and attitudes. However, consistently designing effective PBL experiences is challenging, primarily due to the lack of instructor support and guidance for designing PBL experiences aligned with…
Descriptors: Computer Software, Computer Uses in Education, Engineering Education, Active Learning
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Sokratis Tselegkaridis; Theodosios Sapounidis; Serafeim A. Triantafyllou – Discover Education, 2025
Nowadays, the educational process is enriched with technological tools such as Arduino and Micro:bit. These tools offer both tangible and graphical interaction, however, widespread adoption by educators faces limitations. Many educators hesitate to utilize them, primarily due to lacking training. Therefore, this study examines educators'…
Descriptors: Technology Uses in Education, Elementary School Teachers, Secondary School Teachers, Electronic Equipment
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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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Nikola M. Luburic; Luka Z. Doric; Jelena J. Slivka; Dragan Lj. Vidakovic; Katarina-Glorija G. Grujic; Aleksandar D. Kovacevic; Simona B. Prokic – IEEE Transactions on Learning Technologies, 2025
Software engineers are tasked with writing functionally correct code of high quality. Maintainability is a crucial code quality attribute that determines the ease of analyzing, modifying, reusing, and testing a software component. This quality attribute significantly affects the software's lifetime cost, contributing to developer productivity and…
Descriptors: Intelligent Tutoring Systems, Coding, Computer Software, Technical Occupations
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Kimberly E. Beck; Jessica F. Shumway; Patrick Ocran; Jody Clarke-Midura; Mimi Recker – International Journal of Education in Mathematics, Science and Technology, 2025
Expansive Framing (EF) is a theory and an instructional technique to facilitate connections between content and contexts. We employed EF as an approach to create a series of integrated mathematics and computer science (CS) lessons, using digital technology as a tool to leverage shared mathematical and computational ideas. We used deductive…
Descriptors: Mathematics Instruction, Computer Science Education, Grade 5, Elementary School Teachers