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Nataliya Hristova Pavlova – International Electronic Journal of Mathematics Education, 2024
This article presents a case study and ideas to flip classical dialogic learning method. Some possibilities of using ChatGPT to stimulate the active role of the student in the dialogic teaching method are shown. Data from observations of students training to be teachers of mathematics and informatics in their work with artificial intelligence (AI)…
Descriptors: Teaching Methods, Mathematics Instruction, Artificial Intelligence, Case Studies
Grace Enriquez; Victoria Gill; Gerald Campano; Tracey T. Flores; Stephanie Jones; Kevin M. Leander; Lucinda McKnight; Detra Price-Dennis – English Teaching: Practice and Critique, 2024
Purpose: The purpose of this paper is to provide a transcript of a dialogue among literacy educators and researchers on the impact of generative artificial intelligence (AI) in the field. In the spring of 2023, a lively conversation emerged on the National Council of Research on Language and Literacy (NCRLL)'s listserv. Stephanie initiated the…
Descriptors: Artificial Intelligence, Literacy, Teachers, Personal Narratives
William Joseph Fassbender – English Teaching: Practice and Critique, 2024
Purpose: This study builds on previous theoretical work that considered artificial intelligence (AI) and its potential for creating "teacher-centaurs" whose labor could be accelerated through the use of generative AI (Fassbender, in review). The purpose of this paper is to use empirical methods to study centaur teachers and the division…
Descriptors: Artificial Intelligence, Technology Uses in Education, Secondary School Teachers, Secondary Education
Ramon Mayor Martins; Christiane G. Von Wangenheim; Marcelo F. Rauber; Adriano F. Borgatto; Jean C. R. Hauck – ACM Transactions on Computing Education, 2024
As Machine Learning (ML) becomes increasingly integrated into our daily lives, it is essential to teach ML to young people from an early age including also students from a low socioeconomic status (SES) background. Yet, despite emerging initiatives for ML instruction in K-12, there is limited information available on the learning of students from…
Descriptors: Artificial Intelligence, Computer Science Education, Socioeconomic Status, Correlation
Ruby S. Chanda; Vanishree Pabalkar; Sarika Sharma – Journal of Applied Research in Higher Education, 2024
Purpose: This study aims to understand and analyze the aspects influencing students' attitudes and behavior toward the use of metaverse in education. The metaverse is currently viewed as technology with immense prospects. However, the practice of the metaverse for educational motives is rarely deliberated. Design/methodology/approach: To assess…
Descriptors: Undergraduate Students, Graduate Students, Artificial Intelligence, Computer Simulation
Nan Wu – International Journal of Web-Based Learning and Teaching Technologies, 2024
Higher education is becoming increasingly competitive and all educational institutions are concentrating on improving quality and changing traditional higher education teaching methods. New-type classroom instruction has embraced a unique advancement opportunity with the arrival of the fifth generation (5G) era. It is critical to develop a…
Descriptors: Instructional Effectiveness, Internet, Computer Literacy, Artificial Intelligence
Danielle A. Waterfield; Latesha Watson; Jamie Day – Journal of Special Education Technology, 2024
Artificial intelligence (AI) has been rapidly developing, both in the education field and beyond, in recent years. Due to this fast-paced nature, special education teachers may not be aware of the availability of AI that could be pertinent to their practice. In this manuscript, five AI platforms that are readily available for special education…
Descriptors: Artificial Intelligence, Special Education, Educational Technology, Teaching Methods
Austin Pack; Jeffrey Maloney – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2024
While recent and significant progress made in natural language processing and artificial intelligence (AI) has the potential to drastically influence the field of language education, many language educators and administrators remain unfamiliar with these recent technological advances and their pedagogical implications. The primary purpose of this…
Descriptors: Artificial Intelligence, English (Second Language), Natural Language Processing, Language Teachers
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
Jinhee Kim – Education and Information Technologies, 2024
The advancing power and capabilities of artificial intelligence (AI) have expanded the roles of AI in education and have created the possibility for teachers to collaborate with AI in classroom instruction. However, the potential types of teacher-AI collaboration (TAC) in classroom instruction and the benefits and challenges of implementing TAC…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teaching Methods, Instructional Design
Mustafa Saritepeci; Hatice Yildiz Durak – Education and Information Technologies, 2024
Integrating Artificial Intelligence (AI) into learning activities is an essential opportunity to develop students' varied thinking skills. On the other hand, design-based learning (DBL) can more effectively foster creative design processes with AI technologies to overcome real-world challenges. In this context, AI-supported DBL activities have a…
Descriptors: Technology Integration, Artificial Intelligence, Learning Activities, Design
Marsela Thanasi-Boçe; Julian Hoxha – Education and Information Technologies, 2024
Entrepreneurship education has evolved to meet the demands of a dynamic business environment, necessitating innovative teaching methods to prepare entrepreneurs for market uncertainties. Large Language Models (LLMs) like the Generative Pre-trained Transformer 4 (GPT-4), recognized for their exceptional performance on public datasets, are examined…
Descriptors: Entrepreneurship, Business Administration Education, Technology Integration, Artificial Intelligence
Joalise Janse van Rensburg – Discover Education, 2024
The ability to think critically is an important and valuable skill that students should develop to successfully solve problems. The process of writing requires critical thinking (CT), and the subsequent piece of text can be viewed as a product of CT. One of the strategies educators may use to develop CT is modelling. Given ChatGPT's ability to…
Descriptors: Critical Thinking, Writing Instruction, Computer Software, Artificial Intelligence
West Virginia Department of Education, 2024
This guidance provides support for the use of artificial intelligence (AI) across various roles in West Virginia PK-12 schools, catering to the needs of superintendents, district staff, educators, and support staff. The guidance intends to focus on effectively and safely integrating AI, especially generative AI technologies, in classroom…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Role
Isabel Fischer; Kerry Dobbins – Journal of Management Education, 2024
At a time when emerging technologies increasingly transform the workplace and society overall, management educators seem reluctant to fully embrace emerging transformative technologies in their teaching. In this conceptual essay, we argue that this reluctance stems from paradoxical tensions of identity of management educators and students. The…
Descriptors: Business Administration Education, Administrator Education, Technology Uses in Education, College Faculty