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Tanya Linden; Kewei Yuan; Antonette Mendoza – Information Systems Education Journal, 2025
Generative Artificial Intelligence (Gen AI) is making its impact on all levels of education. However, these tools must be used with caution, and it is up to instructors to teach their students responsible use of Gen AI. Therefore, there is a need to understand views of teaching staff on how to integrate Gen AI into education to maximize its…
Descriptors: Barriers, Artificial Intelligence, Computer Mediated Communication, Technology Uses in Education
Susan Gardner Archambault – Information and Learning Sciences, 2024
Purpose: Research shows that postsecondary students are largely unaware of the impact of algorithms on their everyday lives. Also, most noncomputer science students are not being taught about algorithms as part of the regular curriculum. This exploratory, qualitative study aims to explore subject-matter experts' insights and perceptions of the…
Descriptors: Algorithms, Literacy, Artificial Intelligence, Mathematics Instruction
Emmanuel Senior Tenakwah; Gideon Boadu; Emmanuel Junior Tenakwah; Michael Parzakonis; Mark Brady; Penny Kansiime; Shannon Said; Sarah Eyaa; Raymond Kwojori Ayilu; Ciprian Radavoi; Alan Berman – Knowledge Management & E-Learning, 2025
The development and introduction of AI language models have transformed the way humans and institutions interact with technology, enabling natural and intuitive communication between humans and machines. This paper conducts a competence-based analysis of ChatGPT's task responses to provide insights into its language proficiency, critical analysis…
Descriptors: Higher Education, Evaluation Methods, Artificial Intelligence, Computer Software
Yusuf Oc; Hela Hassen – Marketing Education Review, 2025
Driven by technological innovations, continuous digital expansion has transformed fundamentally the landscape of modern higher education, leading to discussions about evaluation techniques. The emergence of generative artificial intelligence raises questions about reliability and academic honesty regarding multiple-choice assessments in online…
Descriptors: Higher Education, Multiple Choice Tests, Computer Assisted Testing, Electronic Learning
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
Yi Lyu; Azhar Bin Md Adnan; Lijuan Zhang – Education and Information Technologies, 2025
This study presents a comprehensive examination of the applications, challenges, and strategies associated with the integration of natural language processing (NLP) technologies in university teaching. By employing qualitative analyses, including interviews, classroom observations, and document review, the study explores the diverse applications…
Descriptors: Foreign Countries, Natural Language Processing, Technology Integration, Teaching Methods
Tamilla Triantoro; Tuvana Rua; Guido Lang – Information Systems Education Journal, 2025
This study explores the effectiveness of experiential learning in teaching generative AI to entrepreneurs and small business owners. The in-person training program, grounded in Kolb's Experiential Learning Theory, aimed to enhance participants' understanding, attitudes, and perceived benefits of AI adoption. Through a structured cycle of Concrete…
Descriptors: Artificial Intelligence, Entrepreneurship, Computer Software, Experiential Learning
Yan, Da – Education and Information Technologies, 2023
Technology-enhanced language learning has exerted positive effects on the performance and engagement of L2 learners. Since the advent of tools based on recent advancement in artificial intelligence (AI), educators have made major strides in applying state-of-the-art technologies to writing classrooms. In November 2022, an AI-powered chatbot named…
Descriptors: Artificial Intelligence, Second Language Learning, Writing Instruction, Practicums
Tieyi Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2024
With the rapid advancement of information technology, online education based on big data and artificial intelligence is a hot research topic in education. This study focuses on applying big data and AI in online vocal wisdom classes to enhance personalized teaching and effectiveness. It aims to address issues in traditional vocal education like…
Descriptors: Online Courses, Music Education, Artificial Intelligence, Singing
Wenyi Lu; Joseph Griffin; Troy D. Sadler; James Laffey; Sean P. Goggins – Journal of Learning Analytics, 2025
Game-based learning (GBL) is increasingly recognized as an effective tool for teaching diverse skills, particularly in science education, due to its interactive, engaging, and motivational qualities, along with timely assessments and intelligent feedback. However, more empirical studies are needed to facilitate its wider application in school…
Descriptors: Game Based Learning, Predictor Variables, Evaluation Methods, Educational Games
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
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
Michael Mehmet; Mary Papakosmas; Elias Kyriazis; Mona Nikidehaghani – Journal of Marketing Education, 2025
This study aims to examine how to integrate generative AI (GenAI) into marketing education. We used the transformation mechanism within boundary crossing theory to explore how marketing professional insights can be utilized to prepare students for industry demands in the GenAI era. We analyze industry content and GenAI courses alongside 26…
Descriptors: Marketing, Career Readiness, School Business Relationship, Education Work Relationship
Ruby A. Daniels; Kathryn Appenzeller Knowles; Amanda Lindner; Emily Naasz – Marketing Education Review, 2024
In marketing, the traditional approach for teaching quantitative concepts uses individual courses, such as marketing research and business statistics. While this pedagogy is common, research indicates it is difficult for students to master quantitative concepts in a single course. Instead, quantitative reasoning (QR) requires repeated practice, so…
Descriptors: Marketing, Business Administration Education, Statistics Education, Spiral Curriculum
Seow Yongzhi – IAFOR Journal of Education, 2024
Humanities education in Singapore at the secondary level emphasises the inquiry-based learning pedagogical approach to engage students, inculcate critical thinking skills, and achieve the necessary knowledge and skills outcomes stipulated by the national curriculum. Inquiry-based learning is structured by a Humanities inquiry cycle involving four…
Descriptors: Debate, Teaching Methods, Artificial Intelligence, Humanities Instruction