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Direct linkCindy Royal – Journalism and Mass Communication Educator, 2025
Artificial intelligence (AI) has taken the forefront in discussions of the future of media and education. Although there are valid concerns, AI has the potential to be useful in learning new skills, particularly those related to computer programming. This case study depicts the ways AI was introduced to assist in teaching coding, specifically in a…
Descriptors: Artificial Intelligence, Coding, Programming, Computer Science Education
Andrew Millam; Christine Bakke – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This paper is part of a multi-case study that aims to test whether generative AI makes an effective coding assistant. Particularly, this work evaluates the ability of two AI chatbots (ChatGPT and Bing Chat) to generate concise computer code, considers ethical issues related to generative AI, and offers suggestions for how to improve…
Descriptors: Coding, Artificial Intelligence, Natural Language Processing, Computer Software
Download full textEce Ceren Özer; Aleyna Özdemir; Feyza Ünsal; Semra Benzer – Science Insights Education Frontiers, 2025
This qualitative case study explored graduate students' views (n=6) on AI-supported applications and an AI-enabled blockbased coding tool (PictoBlox) in science education. Data were gathered over a 39-hour implementation via a semi-structured interview form and screen captures from the activities, and analyzed with content analysis. Participants…
Descriptors: Graduate Students, Student Attitudes, Artificial Intelligence, Technology Uses in Education
Haley A. Delcher; Enas S. Alsatari; Adeyeye I. Haastrup; Sayema Naaz; Lydia A. Hayes-Guastella; Autumn M. McDaniel; Olivia G. Clark; Devin M. Katerski; Francois O. Prinsloo; Olivia R. Roberts; Meredith A. Shaddix; Bridgette N. Sullivan; Isabella M. Swan; Emily M. Hartsell; Jeffrey D. DeMeis; Sunita S. Paudel; Glen M. Borchert – Biochemistry and Molecular Biology Education, 2025
Today, due to the size of many genomes and the increasingly large sizes of sequencing files, independently analyzing sequencing data is largely impossible for a biologist with little to no programming expertise. As such, biologists are typically faced with the dilemma of either having to spend a significant amount of time and effort to learn how…
Descriptors: Artificial Intelligence, Technology Uses in Education, Training, Teaching Methods
Michael E. Ellis; K. Mike Casey; Geoffrey Hill – Decision Sciences Journal of Innovative Education, 2024
Large Language Model (LLM) artificial intelligence tools present a unique challenge for educators who teach programming languages. While LLMs like ChatGPT have been well documented for their ability to complete exams and create prose, there is a noticeable lack of research into their ability to solve problems using high-level programming…
Descriptors: Artificial Intelligence, Programming Languages, Programming, Homework
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
Urtasun, Ainhoa – Industry and Higher Education, 2023
This report describes a teaching experience with undergraduates to approach, in a simple and practical way, artificial intelligence (AI) and machine learning (ML) -- general-purpose technologies that are highly demanded in any industry today. The article shows how business undergraduates with no prior experience in coding can use AI and ML to…
Descriptors: Undergraduate Students, Student Empowerment, Artificial Intelligence, Business Education
Sinan Onal; Derya Kulavuz-Onal; Marie Childers – Journal of Educational Technology Systems, 2025
This study investigates the integration and application of ChatGPT among U.S. higher education students across various academic disciplines. Given the recent introduction of ChatGPT in educational contexts, this research aims to understand the specific ways students utilize this tool for academic tasks and their perceived impact on their academic…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Benefits, Academic Achievement
Chen Zhong; J. B. Kim – Journal of Information Systems Education, 2024
Data Analytics has emerged as an essential skill for business students, and several tools are available to support their learning in this area. Due to the students' lack of programming skills and the perceived complexity of R, many business analytics courses employ no-code analytical software like IBM SPSS Modeler. Nonetheless, generative…
Descriptors: Business Education, Regression (Statistics), Programming, Artificial Intelligence
Rim Gouia-Zarrad; Cindy Gunn – International Electronic Journal of Mathematics Education, 2024
This research paper explores the integration of ChatGPT as a tool for interactive learning of numerical methods in a differential equations (DEs) course. DE course is crucial for engineering students to model real-world phenomena. However, many DE courses focus only on analytical solutions and neglect important numerical solutions. To overcome…
Descriptors: Learning Experience, Teaching Methods, Artificial Intelligence, Computer Software
Tsabari, Stav; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2023
Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…
Descriptors: College Students, Computer Science Education, Programming, Error Patterns
Jescovitch, Lauren N.; Scott, Emily E.; Cerchiara, Jack A.; Merrill, John; Urban-Lurain, Mark; Doherty, Jennifer H.; Haudek, Kevin C. – Journal of Science Education and Technology, 2021
We systematically compared two coding approaches to generate training datasets for machine learning (ML): (1) a holistic approach based on learning progression levels; and (2) a dichotomous, analytic approach of multiple concepts in student reasoning, deconstructed from holistic rubrics. We evaluated four constructed response assessment items for…
Descriptors: Science Instruction, Coding, Artificial Intelligence, Man Machine Systems
Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
Akgunduz, Devrim; Topalsan, Aysegul Kinik; Turk, Zeynep – Journal of Turkish Science Education, 2022
This study aimed to determine the perceptions of academics from different faculties and experts from non-governmental organizations, and Research & Development (R&D) centers of the concepts of STEM, innovation, entrepreneurship, industry 4.0, robotics, coding, maker, artificial intelligence, and their reflections on the daily life. In…
Descriptors: College Faculty, Teacher Attitudes, STEM Education, Entrepreneurship
Renzulli, Joseph S. – International Journal for Talent Development and Creativity, 2020
In this article, I describe a series of Five Core Competencies that gifted education specialists should consider integrating into their teaching to respond to the many changes that are taking place in technology, work, and career preparation. Although the focus of this theory is on high- level jobs usually pursued by college graduates and advanced…
Descriptors: Academically Gifted, Gifted Education, Job Skills, Theories
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