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Nicole A. Flink; Hulda G. Black; Rebecca Dingus – Marketing Education Review, 2025
Students who have a comprehensive understanding of their potential career paths are better able to make informed decisions regarding their professional futures. Providing classroom activities and assignments designed for career exploration is important to help instructors facilitate student experiences for learning about career paths, supporting a…
Descriptors: Coaching (Performance), Artificial Intelligence, Computer Software, Career Development
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Shuchen Guo; Lehong Shi; Xiaoming Zhai – Education and Information Technologies, 2025
As artificial intelligence (AI) receives wider attention in education, examining teachers' acceptance of AI (TAAI) becomes essential. However, existing instruments measuring TAAI reported limited validity evidence and faced some design challenges, such as missing informed definitions of AI to participants. To fill this gap, this study developed…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Attitudes, Test Construction
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Razib Chandra Chanda; Ali Vafaei-Zadeh; Haniruzila Hanifah; T. Ramayah – Education and Information Technologies, 2025
Artificial intelligence (AI) is reshaping university education by offering personalized teaching assistance tailored to each student's cognitive needs. Despite its global rise, AI's adoption in higher education in developing nations like Bangladesh is sparse. This study, gathering 363 responses from Bangladeshi universities, employed PLS-SEM, ANN,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Developing Nations
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Xiaohong Liu; Baoxin Guo; Wei He; Xiaoyong Hu – Journal of Educational Computing Research, 2025
Generative artificial intelligence (GenAI) has significant potential for educational innovation, although its impact on students' learning outcomes remains controversial. This study aimed to examine the impact of GenAI on the learning outcomes of K-12 and higher education students, and explore the moderating factors influencing this impact. A…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
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Ridho Praja Dinata; Nunung Suryati; Moh. Kholilulrahman Jailani; Yohanes Paulus Keli; Mala Rovikasari; Mutia Hasymi – LEARN Journal: Language Education and Acquisition Research Network, 2025
Artificial Intelligence has significantly reshaped foreign language pedagogy, encouraging rural EFL lecturers to move beyond traditional methods. This study aims to investigate the perspectives of rural EFL lecturers in Indonesia on integrating AI into their teaching practices. Using a qualitative design and case study approach, the study explores…
Descriptors: Rural Schools, English (Second Language), Second Language Learning, Second Language Instruction
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Feiwen Xiao; Ellen Wenting Zou; Jiaju Lin; Zhaohui Li; Dandan Yang – British Journal of Educational Technology, 2025
Large language model (LLM)-based conversational agents (CAs), with their advanced generative capabilities and human-like conversational interfaces, can serve as reading partners for children during dialogic reading and have shown promise in enhancing children's comprehension and conversational skills. However, there is limited research on the…
Descriptors: Childrens Literature, Electronic Books, Artificial Intelligence, Natural Language Processing
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Ayse Yilmaz Virlan; Burak Tomak – Education and Information Technologies, 2025
This research aimed to determine the perspectives of Turkish instructors of English on the use of AI tools by Turkish learners of English on their writing skill development given the increasing prevalence of these tools among language learners. Thus, the perspectives of the instructors of these learners are significant in this sense. In this…
Descriptors: Foreign Countries, Q Methodology, Language Teachers, Teacher Attitudes
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Nadziroh; Sunarso; Suyato – Educational Process: International Journal, 2025
Background/Purpose: This study investigates the effectiveness of integrating Artificial Intelligence (AI) with Problem-Based Learning (PBL) to enhance high school students' conflict resolution skills within the context of civic education. The initiative responds to the increasing need for pedagogical models that simultaneously foster ethical…
Descriptors: Conflict Resolution, Artificial Intelligence, Problem Based Learning, Citizenship Education
Sallie Mae Bank, 2025
This report examines how enrolled undergraduate students and parents of undergraduates view higher education and how they pay for it. The report considers education funding sources--from parent and student income and savings to scholarships, grants, and borrowed funds--and evaluates trends in payment strategies over time. This 18th edition builds…
Descriptors: Paying for College, Undergraduate Students, Parents, Student Financial Aid
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Tobias Wyrwich; Marcus Kubsch; Hendrik Drachsler; Knut Neumann – Physical Review Physics Education Research, 2025
Students struggle to acquire the needed energy understanding to meaningfully participate in the energy discourse about socially relevant topics, such as energy transformation or climate change. Identifying students on differing learning trajectories, as well as differences in knowledge used, is essential to help students achieve the needed energy…
Descriptors: Learning Processes, Physics, Energy, Science Instruction
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Ecem Kopuz; Galip Kartal – PASAA: Journal of Language Teaching and Learning in Thailand, 2025
The developments in artificial intelligence (AI) have significantly transformed second language (L2) learning and assessment, and the role of AI technologies in L2 assessment have been investigated in recent research. This study presents a bibliosystematic analysis of AI-assisted L2 assessment. Using both systematic analysis and bibliometric…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Feedback (Response)
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Finnah Fourqoniah; Muhammad Fikry Aransyah; Lilia Pasca Riani – Electronic Journal of e-Learning, 2025
The rapidly evolving field of digital entrepreneurial education has been significantly shaped by advancements in technologies such as augmented reality (AR), virtual reality (VR), and artificial intelligence (AI). While these technologies have opened new possibilities for entrepreneurial learning, much of the existing research is fragmented,…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
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Astuti Muh. Amin; Fitriyah Karmila; Syamsu Rijal; Noor Hujjatusnaini; Romi Adiansyah – Journal of Education and e-Learning Research, 2025
The present study aimed to evaluate the validity, practicality, and effectiveness of an integrated project-based learning model and 4C scaffolding techniques in addressing students' misconceptions in biology. In this research and development (R&D) study, the learning model was validated by five experts. A limited product trial was conducted…
Descriptors: Artificial Intelligence, Technology Uses in Education, Misconceptions, Student Projects
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Hao Fang; Xingyu Chen; Seng Yue Wong; Sa Cheng; Kenny S. L. Cheah – Journal of Baltic Science Education, 2025
Virtual Reality (VR) is transforming health science education by enabling immersive, interactive learning environments. As global health challenges rise and digital tools proliferate, it is critical to map the evolution of VR's application in health science education, particularly its effects on health outcomes. A bibliometric analysis was…
Descriptors: Computer Uses in Education, Health Sciences, Health Education, Public Health
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Jongwon Lee; Tereza Cimová; Ellen J. Foster; Derek France; Lenka Krajnáková; Lynn Moorman; Sonja Rewhorn; Jiaqi Zhang – International Research in Geographical and Environmental Education, 2025
Generative artificial intelligence (GenAI) represents a major leap forward in AI technology, offering the potential to reshape education in various aspects. This paper explores the transformative potential of GenAI in geography education, focusing on its impacts across curriculum, pedagogy, assessment, and fieldwork, through the lens of the…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Geography
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