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Reed, Janet; Alterio, Brittany; Coblenz, Hannah; O'Lear, Taylor; Metz, Tomek – Journal of Interactive Learning Research, 2023
Generative artificial intelligence (AI) allows for the transformation of written text into artistic images of varying styles. Scholars and researchers are beginning to explore the benefits of this technology to improve reflective practices and critical analyses in education. The extent to which AI-generated images can be used in nursing education…
Descriptors: Nursing Education, Artificial Intelligence, Undergraduate Students, Teaching Methods
Hadis Anahideh; Nazanin Nezami; Abolfazl Asudeh – Grantee Submission, 2025
It is of critical importance to be aware of the historical discrimination embedded in the data and to consider a fairness measure to reduce bias throughout the predictive modeling pipeline. Given various notions of fairness defined in the literature, investigating the correlation and interaction among metrics is vital for addressing unfairness.…
Descriptors: Correlation, Measurement Techniques, Guidelines, Semantics
Giulia Polverini; Bor Gregorcic – Physical Review Physics Education Research, 2024
The well-known artificial intelligence-based chatbot ChatGPT-4 has become able to process image data as input in October 2023. We investigated its performance on the test of understanding graphs in kinematics to inform the physics education community of the current potential of using ChatGPT in the education process, particularly on tasks that…
Descriptors: Computer Software, Artificial Intelligence, Visual Impairments, Graphs
Towards Automatic Question Generation Using Pre-Trained Model in Academic Field for Bahasa Indonesia
Derwin Suhartono; Muhammad Rizki Nur Majiid; Renaldy Fredyan – Education and Information Technologies, 2024
Exam evaluations are essential to assessing students' knowledge and progress in a subject or course. To meet learning objectives and assess student performance, questions must be themed. Automatic Question Generation (AQG) is our novel approach to this problem. A comprehensive process for autonomously generating Bahasa Indonesia text questions is…
Descriptors: Foreign Countries, Computational Linguistics, Computer Software, Questioning Techniques
Mike Perkins; Jasper Roe; Binh H. Vu; Darius Postma; Don Hickerson; James McGaughran; Huy Q. Khuat – International Journal of Educational Technology in Higher Education, 2024
This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content modified to evade detection (n = 805). We compare these detectors to assess their reliability in identifying AI-generated text in educational settings, where they are increasingly used to address academic integrity…
Descriptors: Artificial Intelligence, Inclusion, Computer Software, Word Processing
Steve Chenoweth; Panagiotis K. Linos – IEEE Transactions on Education, 2024
Contribution: A novel undergraduate course design at the intersection of software engineering (SE) and machine learning (ML) based on industry-reported challenges. Background: ML professionals report that building ML systems is different enough that we need new knowledge about how to infuse ML into software production. For instance, various…
Descriptors: Artificial Intelligence, Computer Software, Undergraduate Study, Engineering
Punya Mishra; Danah Henriksen – TechTrends: Linking Research and Practice to Improve Learning, 2024
In this article, we explore the intersection of creativity, education, and technology, with a focus on the impact of Generative AI (GenAI). We delve into the transformative potential of GenAI in redefining educational and creative processes and challenging our existing notions of learning and creativity. Through a conversation with renowned…
Descriptors: Creativity, Education, Technology, Artificial Intelligence
Rebecka Weegar; Peter Idestam-Almquist – International Journal of Artificial Intelligence in Education, 2024
Machine learning methods can be used to reduce the manual workload in exam grading, making it possible for teachers to spend more time on other tasks. However, when it comes to grading exams, fully eliminating manual work is not yet possible even with very accurate automated grading, as any grading mistakes could have significant consequences for…
Descriptors: Grading, Computer Assisted Testing, Introductory Courses, Computer Science Education
Sarah K. Burriss; Kevin Leander – Reading Research Quarterly, 2024
Literacy has become inextricably bound with machine processes, especially in the age of ubiquitous, consequential artificial intelligence (AI). Despite a relatively long history of AI involvement in our everyday reading and writing practices, the public availability of generative AI tools has set off a wave of heated debate--and concern--about…
Descriptors: Ethics, Artificial Intelligence, Literacy, Computer Software
Xiangge Yang; Dongfang Jiang; Meng Liu – International Journal of Web-Based Learning and Teaching Technologies, 2024
Landscape design is a measure of the development of urbanization process and the improvement of people's happiness index. The process of urbanization will involve landscape design. The study and teaching of landscape design is the core teaching method of landscape design research. However, with the diversified development of landscape design…
Descriptors: Artificial Intelligence, Horticulture, Design, Technology Uses in Education
Jessie S. Barrot – Language Teaching Research Quarterly, 2024
This paper explores the transformative potential of integrating generative artificial intelligence (AI) technologies, particularly ChatGPT, into second language (L2) writing pedagogy. The paper begins by examining the evolution of L2 writing pedagogy and highlighting the strengths and limitations of each. It then discusses the integration of…
Descriptors: Writing Instruction, Computer Software, Synchronous Communication, Artificial Intelligence
Simon Ashby – Kairaranga, 2024
The purpose of this study is to understand the current situation where practising New Zealand primary educators have utilised ChatGPT. More explicitly, the research considered how educators perceived the beneficial affordances and used them to support their classroom practice. Concurrently, negative implications of use are noted and an attempt to…
Descriptors: Teacher Attitudes, Technology Integration, Artificial Intelligence, Computer Software
Gustavo Simas da Silva; Vânia Ribas Ulbricht – International Association for Development of the Information Society, 2023
ChatGPT and Bard, two chatbots powered by Large Language Models (LLMs), are propelling the educational sector towards a new era of instructional innovation. Within this educational paradigm, the present investigation conducts a comparative analysis of these groundbreaking chatbots, scrutinizing their distinct operational characteristics and…
Descriptors: Comparative Analysis, Teaching Methods, Computer Software, Artificial Intelligence
William Neil Littell; Brittany L. Peterson – Communication Teacher, 2025
Artificial intelligence (AI) is fundamentally reshaping classroom experiences. In this activity, students in a graduate-level project management class engaged in real-time conversations with AI- powered chatbots as though they were actual people. Students were required to perform a stakeholder analysis on the key stakeholders involved in their…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Executive Function
Frank Xavier Gearhart – ProQuest LLC, 2024
Digital systems are pervasive in modern societies -- augmenting personal and commercial driving, detecting cancer, and exploiting transitory events in financial markets. Attacks on these systems are growing in number, sophistication, and impact. Current cyber defenses are proving inadequate against some of these attacks. Cyber defense tools that…
Descriptors: Artificial Intelligence, Information Security, Man Machine Systems, Natural Language Processing