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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
Amy Hutchison – Reading Teacher, 2024
The recent development of ChatGPT, an artificial intelligence application that mimics human language, has many educators questioning its place in the classroom. This article provides suggestions for instructional uses of ChatGPT in the literacy classroom so that teachers can empower students to use this tool safely and effectively for learning.
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Literacy Education
Han Wan; Hongzhen Luo; Mengying Li; Xiaoyan Luo – IEEE Transactions on Learning Technologies, 2024
Automatic program repair (APR) tools are valuable for students to assist them with debugging tasks since program repair captures the code modification to make a buggy program pass the given test-suite. However, the process of manually generating catalogs of code modifications is intricate and time-consuming. This article proposes contextual error…
Descriptors: Programming, Computer Science Education, Introductory Courses, Assignments
Elkhatat, Ahmed M. – International Journal for Educational Integrity, 2023
Academic plagiarism is a pressing concern in educational institutions. With the emergence of artificial intelligence (AI) chatbots, like ChatGPT, potential risks related to cheating and plagiarism have increased. This study aims to investigate the authenticity capabilities of ChatGPT models 3.5 and 4 in generating novel, coherent, and accurate…
Descriptors: Artificial Intelligence, Plagiarism, Integrity, Models
Irina Tursunkulova; Suzanne de Castell; Jennifer Jenson – International Association for Development of the Information Society, 2023
The exponential growth of scholarly publications in recent years has presented a daunting challenge for researchers to keep track of relevant articles within their research field. To address this issue, we examined the capabilities of InfraNodus, an AI-Powered text network analysis platform. InfraNodus promises to provide insights into any…
Descriptors: Research, Journal Articles, Artificial Intelligence, Evaluation Methods
Knochel, Aaron D. – Studies in Art Education: A Journal of Issues and Research in Art Education, 2023
With the release of artificial intelligence image-generation platforms to the broader public in 2022, there is an opportunity to evaluate how image-making practices may change and speculate how graphic design software, such as Photoshop, may evolve. Using a methodology of assemblage, a relational study of Photoshop and Midjourney is gathered to…
Descriptors: Art Education, Artificial Intelligence, Visual Aids, Computer Software
Hyunsook Youn; Nancy Park; Ryan Michael Murphy – Communication Teacher, 2025
Courses: This activity can be used in writing-based (communication) courses across various disciplines including, but not limited to, introduction to writing and rhetoric, business communication, and communication research methods. Objectives: On completion of this activity, students will develop critical reading, thinking, and writing skills as…
Descriptors: Artificial Intelligence, Writing Skills, Writing Exercises, Computer Software
Chi Hong Leung; Winslet Ting Yan Chan – Asian Journal of Contemporary Education, 2025
This paper explores the efficacy of ChatGPT, a generative artificial intelligence in educational contexts, particularly concerning its potential to assist students in overcoming academic challenges while highlighting its limitations. ChatGPT is suitable for solving general problems. When a student comes across academic challenges, ChatGPT may…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Error Patterns
Ali Zeb; Fazal Ur Rehman; Majed Bin Othayman; Muhammad Rabnawaz – International Journal of Information and Learning Technology, 2025
Purpose: Given the increasing attention on ChatGPT in academia due to its advanced features and capabilities, this study aims to examine the links among Artificial intelligence (AI), knowledge sharing, ethics, academia and libraries in educational institutions. Moreover, this study also aims to provide a literature base while discussing recent…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Knowledge Level
Samson Damilola Fabiyi – Innovations in Education and Teaching International, 2025
This paper examines ChatGPT's capability in evaluating educational learning outcomes, investigating its effectiveness in assessing SMART criteria alignment and identifying the presence of fundamental components. The hypothesis posits that ChatGPT can proficiently accomplish these tasks, offering potential benefits to educational design and…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Evaluation
Deliang Wang; Yaqian Zheng; Jinjiang Li; Gaowei Chen – IEEE Transactions on Learning Technologies, 2025
Researchers have increasingly utilized artificial intelligence to automatically analyze classroom dialogue, aiming to provide timely feedback to teachers due to its educational significance. However, traditional machine learning and deep learning models face challenges, such as limited performance and lack of generalizability, across various…
Descriptors: Classroom Communication, Computational Linguistics, Cues, Generalization
David Troy – Community College Enterprise, 2025
This paper argues that generative AI has become ubiquitous in academia, making irrelevant the debates about whether or not to allow it. Instead, the author advocates for transparency and accountability frameworks that acknowledge AI's presence while preserving academic integrity. The paper examines the challenges educators face: unreliable…
Descriptors: Artificial Intelligence, Integrity, Technology Uses in Education, Accountability
Joel Manuel Prieto-Andreu; Antonio Labisa-Palmeira – Journal of Technology and Science Education, 2024
GPT-3 is a neuronal language model that performs tasks such as classification, question-answering and text summarization. Although chatbots like BlenderBot-3 work well in a conversational sense, and GPT-3 can assist experts in evaluating questions, they are quantifiably worse than real teachers in several pedagogical dimensions. We present the…
Descriptors: Teaching Methods, Artificial Intelligence, Computer Software, Questioning Techniques
Pavel Stefanovic; Birute Pliuskuviene; Urte Radvilaite; Simona Ramanauskaite – Education and Information Technologies, 2024
The public availability of large language models, such as chatGPT, brings additional possibilities and challenges to education. Education institutions have to identify when large language models are used and when text is generated by the student itself. In this paper, chatGPT usage in students' answers is investigated. The main aim of the research…
Descriptors: Artificial Intelligence, Questioning Techniques, Computer Software, Synchronous Communication
Zixuan Ke – ProQuest LLC, 2024
The essence of human intelligence lies in its ability to learn continuously, accumulating past knowledge to aid in future learning and problem-solving endeavors. In contrast, the current machine learning paradigm often operates in isolation, lacking the capacity for continual learning and adaptation. This deficiency becomes apparent in the face of…
Descriptors: Computational Linguistics, Computer Software, Barriers, Artificial Intelligence

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