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Jana Duckett; Nicole M. Westrick – Communication Teacher, 2025
The integration of generative artificial intelligence (genAI) into public relations and communication education presents new challenges and ethical considerations for educators. This paper presents a series of activities to explore implications of genAI adoption in public relations and communication professions, focusing on the need to equip…
Descriptors: Artificial Intelligence, Communications, Public Relations, Ethics
Xue Zhou; Lilian Schofield – Journal of Learning Development in Higher Education, 2024
This paper proposes a conceptual framework for integrating Artificial Intelligence (AI) into the curriculum. It builds on previous conceptual papers, which provided initial suggestions on integrating AI into teaching. The approach to developing the conceptual framework includes drawing on existing frameworks, AI literature, and case studies from…
Descriptors: Artificial Intelligence, Technological Literacy, Technology Integration, Curriculum Development
Randi Williams – ProQuest LLC, 2024
Today's youth are growing up in a world where artificial intelligence (AI) technologies shape how we live, work, play, socialize, and navigate our world. This rapid technological change is already significantly shifting individuals' lives and the opportunities they can obtain. Thus, researchers, educators, and government leaders must consider how…
Descriptors: Artificial Intelligence, Technological Literacy, Curriculum Design, Elementary Secondary Education
UK Department for Education, 2024
From September 2023 to March 2024, Faculty AI, the National Institute of Teaching (NIoT) and ImpactEd Group (representing the AI in Schools Initiative) have worked with the Department for Education (DfE) to deliver the Use Cases for Generative Artificial Intelligence in Education project. The project explored potential applications for Generative…
Descriptors: Artificial Intelligence, Technology Uses in Education, Ethics, Computer Science
Shiv K. Tripathi; Wolfgang C. Amann; Agat Stachowicz-Stanusch – International Society for Technology, Education, and Science, 2023
The effective anti-corruption education requires careful understanding of the teaching-learning context. At the different stages of the designing an anti-corruption focuses course, we need to consider factors related to target learning group as well as the respective context in which they are. Learning style versatility is an important factor that…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Computer Oriented Programs
Rebecca Marrone; Samuel Fowler; Abhinava Bathakur; Shane Dawson; George Siemens; Chanvi Singh – School Leadership & Management, 2025
The integration of AI in education has the potential to significantly transform teaching and learning. However, the successful adoption of AI is heavily reliant on the actions and perspectives of school leaders. As schools increasingly incorporate AI into their classrooms, it is essential to understand how education leaders perceive this…
Descriptors: Artificial Intelligence, Technology Uses in Education, Administrator Attitudes, Transformative Learning
Jang, Yeonju; Choi, Seongyune; Kim, Hyeoncheol – Education and Information Technologies, 2022
As artificial intelligence (AI) becomes more prevalent, so does the interest in AI ethics. To address issues related to AI ethics, many government agencies, non-governmental organizations (NGOs), and corporations have published AI ethics guidelines. However, only a few test instruments have been developed to assess students' attitudes toward AI…
Descriptors: Artificial Intelligence, Ethics, Test Construction, Student Attitudes
Matt Bower; Jodie Torrington; Jennifer W. M. Lai; Peter Petocz; Mark Alfano – Education and Information Technologies, 2024
There has been widespread media commentary about the potential impact of generative Artificial Intelligence (AI) such as ChatGPT on the Education field, but little examination at scale of how educators believe teaching and assessment should change as a result of generative AI. This mixed methods study examines the views of educators (n = 318) from…
Descriptors: Artificial Intelligence, Teacher Evaluation, Surveys, Computer Assisted Testing
Giovanni Zimotti; Claire Frances; Luke Whitaker – Technology in Language Teaching & Learning, 2024
This study explores the perceptions of second language (L2) educators on the surge of Large Language Models (LLMs) like ChatGPT, and their potential impact on language education. We surveyed over 100 L2 instructors, asking questions about their ideas for AI-proofing assignments, their policies, and their perceptions of how this tool will impact…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Second Language Instruction
Academic Integrity in the Age of Generative AI: Perceptions and Responses of Vietnamese EFL Teachers
Ngo Cong-Lem; Tin Nghi Tran; Tat Thang Nguyen – Teaching English with Technology, 2024
This study examines the perceptions and responses of Vietnamese teachers of English as a Foreign Language (EFL) to academic integrity concerns that arise from the use of AI, specifically chatbots like ChatGPT, in foreign language education. The study employed an open-ended survey to collect data from 31 Vietnamese EFL teachers who were asked to…
Descriptors: Foreign Countries, English (Second Language), Language Teachers, Second Language Instruction
Tim Gander; Brendon Shaw – Journal of Technology and Teacher Education, 2024
In an era where artificial intelligence (AI) is rapidly transforming various sectors, including education, understanding how educators perceive and integrate AI into their teaching practices is crucial. This study addresses the growing need to explore educators' perspectives on AI's impact on education, particularly its implications for effective…
Descriptors: Artificial Intelligence, Teaching Methods, Teacher Attitudes, Foreign Countries
Natalie Kramar; Yaroslava Bedrych; Zinaida Shelkovnikova – Advanced Education, 2024
Mastering academic writing skills in English is essential for future researchers. At present, AI language processing tools provide high-quality, accessible, and fast assistance for translation, editing, and stylistic enhancement of scientific texts. However, their use within English for Academic Purposes (EAP) courses generates mixed reactions…
Descriptors: Doctoral Students, Student Attitudes, Artificial Intelligence, Man Machine Systems
Jennifer M. Higgs; Amy Stornaiuolo – Reading Research Quarterly, 2024
The recent unveiling of chatbots such as ChatGPT has catalyzed vigorous debates about generative AI's impact on how learners read, write, and communicate. Largely missing from these debates is careful consideration of how young people are experiencing AI in their everyday lives and how they are making sense of the questions that these rapidly…
Descriptors: High School Students, High School Teachers, English Instruction, Artificial Intelligence
Kohnke, Lucas; Moorhouse, Benjamin Luke; Zou, Di – RELC Journal: A Journal of Language Teaching and Research, 2023
In this technology review, we explore the affordances of the generative AI chatbot ChatGPT for language teaching and learning. In addition to this, we also present debates and drawbacks of ChatGPT. Finally, we present the digital competencies teachers and learners require to use this chatbot ethically and effectively to support language learning.
Descriptors: Artificial Intelligence, Technology Uses in Education, Affordances, Educational Benefits
Abdulrahman M. Al-Zahrani – Innovations in Education and Teaching International, 2024
This study explores the impact of Generative AI tools on researchers and research in the context of higher education in Saudi Arabia. An online survey questionnaire was used to collect data on higher education students' perspectives (N = 505). The findings indicate that participants hold positive attitudes and possess a high level of awareness…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Countries, College Students
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