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João Vitor L. B. Nascimento; Jário José Santos; Ig Ibert Bittencourt – International Journal of Artificial Intelligence in Education, 2025
The advancement of technology in education has transformed traditional classrooms into virtual learning environments yet concerns persist about how these technologies may inadvertently perpetuate racial stereotypes. Our study employed a 2 × 2 factorial design, with the first factor being the race of participants (Black, White) and the second…
Descriptors: Racism, Ethnic Stereotypes, Profiles, Anxiety
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Dariusz Witko; Yair Levy; Catherine Neubauer; Gregory Simco; Laurie P. Dringus; Melissa Carlton – Journal of Cybersecurity Education, Research and Practice, 2025
The increasing volume of cyber threats, combined with a critical shortage of skilled professionals and rising burnout among practitioners, highlights the urgent need for innovative solutions in cybersecurity operations. Generative Artificial Intelligence (GenAI) offers promising potential to augment human analysts in cybersecurity, but its…
Descriptors: Computer Security, Competence, Artificial Intelligence, Expertise
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Bablu Karan; G. R. Angadi – TechTrends: Linking Research and Practice to Improve Learning, 2025
The integration of artificial intelligence (AI) in educational setting is rapidly growing. The huge impact of AI in education draws attention of school stakeholders to start incorporating AI in teaching and learning. AI in school curriculum is increasingly getting significant. The study aimed to understand factors influencing the incorporation of…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Secondary School Teachers
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Guido Lang; Tan Gürpinar – Information Systems Education Journal, 2025
This study investigates the effectiveness of a Retrieval-Augmented Generation (RAG) chatbot to enhance learning and engagement in a self-paced, asynchronous online R programming course. To contextualize the development and potential of RAG chatbots, we conducted a literature review on existing approaches and their use in educational settings.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Program Effectiveness, Online Courses
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Melanie B. Richards; Trena M. Paulus – Marketing Education Review, 2025
The integration of artificial intelligence (AI), and particularly generative AI, into research methods is rapidly transforming both academic and industry marketing research, including both methods practices and education regarding these practices. AI application within methods offers new opportunities for enhancing efficiency, automating…
Descriptors: Artificial Intelligence, Research Methodology, Marketing, Researchers
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Melissa S. Del Castillo; Hope Y. Kelly – College & Research Libraries, 2025
Libraries can play a role in navigating the Artificial Intelligence (AI) era by integrating these tools into information literacy (IL) programs. To implement generative AI tools like ChatGPT effectively, it is important to understand the attitudes of library professionals involved in IL instruction toward this tool and their intention to use it…
Descriptors: Artificial Intelligence, Information Literacy, Library Instruction, Librarian Attitudes
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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
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Dagmar Mercedes Heeg; Lucy Avraamidou – Education and Information Technologies, 2025
AI has become integral to daily life. Teaching, learning, and research are no exception. However, most studies on education have approached AI as a technology and focused mostly on learning outcomes rather than understanding student engagement and sense-making of AI as a socio-cultural tool with impact on their daily lives. To address this gap in…
Descriptors: Young Children, Childrens Attitudes, Artificial Intelligence, Knowledge Level
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Lijuan Luo; Jinmiao Hu; Yujie Zheng; Chen Li – Education and Information Technologies, 2025
Students are increasingly utilizing AI educational tools in their daily learning, complementing human instructors. Yet, little is known about how and when learning assistant type (Human vs. AI) influences students' innovation behavior. To better understand these ambiguities, based on self-determination theory and organizational climate theory, the…
Descriptors: Artificial Intelligence, Student Behavior, Innovation, Intelligent Tutoring Systems
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Alexander K. Kofinas; Crystal Han-Huei Tsay; David Pike – British Journal of Educational Technology, 2025
Generative AI (hereinafter GenAI) technology, such as ChatGPT, is already influencing the higher education sector. In this work, we focused on the impact of GenAI on the academic integrity of assessments within higher education institutions, as GenAI can be used to circumvent assessment approaches within the sector, compromising their quality. The…
Descriptors: Artificial Intelligence, Technology Uses in Education, Integrity, Performance Based Assessment
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Bianca Manuela Sandu; Mégane Lesuisse; Soraya García-Sánchez – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
This article reports on the findings of a research study which has approached language learning motivation (LLM) following Ushioda's (2009) person-in-context relational view of L2 motivation, Consoli's life capital (2021, 2022), Dweck's mindset (2017) and Dörnyei's vision system (2009). Our study provides insights into how LLM research is key to…
Descriptors: Learning Motivation, Second Language Learning, English (Second Language), Undergraduate Students
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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
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Leo S. Lo – College & Research Libraries, 2024
This survey investigates artificial intelligence (AI) literacy among academic library employees, predominantly in the United States, with a total of 760 respondents. The findings reveal a modest self-rated understanding of AI concepts, limited hands-on experience with AI tools, and notable gaps in discussing ethical implications and collaborating…
Descriptors: Library Personnel, Librarian Attitudes, Artificial Intelligence, Digital Literacy
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Eyüp Yurt; Ismail Kasarci – International Journal of Technology in Education, 2024
This study introduces the Questionnaire of AI Use Motives (QAIUM), an instrument designed to measure motivation levels in individuals using artificial intelligence (AI) applications. Building on a theoretical framework that emphasizes motivation over dispositions and defines motivation as expectancy/value, the QAIUM aims to fill a research gap in…
Descriptors: Artificial Intelligence, Foreign Countries, College Students, Student Attitudes
Violet Leticia Vera-Gutierrez – ProQuest LLC, 2024
Emotional intelligence equips leaders to exercise self-management, self-awareness, social awareness and manage relationships. Furthermore, emotional intelligence skills correlate with various leadership skills. Emotional intelligence supports their ability to develop trusting relationships that inspire others to perform collaboratively. It also…
Descriptors: Superintendents, Emotional Intelligence, Leadership Styles, Disproportionate Representation
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