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Orkun Kocak; Sahin Idil – Journal of Education in Science, Environment and Health, 2025
This study is developing a Deep Learning model automating the coding of drawings students provide about climate change phenomena in our world, as a learning contribution through formative assessment. We started first with ResNet50 architecture, but ultimately, we settled on MobileNetV2 reduced architecture for the sake of being able to integrate…
Descriptors: Climate, Artificial Intelligence, Accuracy, Environmental Education
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Alanna L. Peebles; Maura N. Snyder – Communication Teacher, 2025
Higher education has witnessed a paradigm shift from the rapid rise of generative artificial intelligence (genAI). Basing its name on the television show, Are You Smarter Than a 5th Grader?, this single- class activity was designed to foster media literacy students' understanding of popular genAI tools. To compare and contrast the capabilities of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Media Literacy, Digital Literacy
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Chih-Hung Wu; Vu Tran Ho – Education and Information Technologies, 2025
The present study investigated the potential of ChatGPT in enhancing the learning outcomes and engagement. Data were gathered from a survey of 687 university personnel and higher education students who utilized ChatGPT for educational purposes. The conceptual framework of the study was validated and analyzed using partial least squares structural…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Benefits, Learner Engagement
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Muhammad Jaffar; Nazir Ahmed Jogezai; Abdul Rais Abdul Latiff; Fozia Ahmed Baloch; Gulab Khan Khilji – Journal of Applied Research in Higher Education, 2025
Purpose: The objective of this study was to elucidate the intentions of university teachers regarding the utilization of ChatGPT for instructional purposes. Design/methodology/approach: In this cross-sectional quantitative research, data were collected through an online survey tool from 493 university teachers across Pakistan. Findings: The…
Descriptors: College Faculty, Teacher Attitudes, Artificial Intelligence, Man Machine Systems
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Jun Xiao; Yule Yang; Min Li – Education and Information Technologies, 2025
Artificial intelligence (AI) education empowers teachers to enhance the educational process. Although conventional face-to-face or fully online training methods each have their strengths, they do not fully address challenges such as the rapid pace of AI advancements, differences in teachers' ability to grasp AI knowledge, and the need for flexible…
Descriptors: Blended Learning, Teacher Education, Digital Literacy, Skill Development
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Ilhama Mammadova; Fatime Ismayilli; Elnaz Aliyeva; Narmin Mammadova – Educational Process: International Journal, 2025
Background/purpose: Artificial Intelligence (AI) is increasingly shaping assessment practices in higher education, promising faster feedback and reduced instructor workload while also raising concerns about fairness and transparency. This study examines how AI technologies are transforming assessment processes and the experiences of stakeholders.…
Descriptors: Artificial Intelligence, Student Evaluation, Technology Uses in Education, Undergraduate Students
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Deniz Görgülü; Fatma Coskun; Mustafa Demi?r; Mete Si?pahi?oglu – Education and Information Technologies, 2025
This study aims to examine the psychometric properties of a scale developed to measure teachers' ability to use artificial intelligence tools in education. The scale was originally proposed as having 33 items across 5 sub-dimensions by Chat GPT-4, an AI system. To establish content validity, the scale form was submitted to expert review. An…
Descriptors: Measures (Individuals), Artificial Intelligence, Technology Uses in Education, Psychometrics
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Imtiaz Ahamed; Afsana Azmari – Journal of Education and Learning, 2025
A crucial aspect of this research is determining the effectiveness of the tool developed for this study. This tool is built upon the understanding that technology continually evolves and significantly impacts higher education. It is believed that technology plays a vital role in how students learn in college today. This belief is supported by the…
Descriptors: Educational Technology, Educational History, Automation, Educational Innovation
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Ángela María Méndez-Vargas; Andrés Chiappe; María Soledad Ramirez-Montoya; Diego Fernando Becerra Rodríguez – Cambridge Journal of Education, 2025
This conceptual literature review explores the evolution of personalised pearning (PL) through an analysis of 39 research articles indexed in Scopus and Web of Science to delve into its main conceptualisations, trends and challenges. The review was carried out by applying the guidelines of the PRISMA statement to research articles published in…
Descriptors: Literature Reviews, Meta Analysis, Individualized Instruction, Educational Trends
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Katie D. Lewis – Journal of Advanced Academics, 2025
The potential of Generative Artificial Intelligence (GenAI) to support teachers in providing a more equitable, inclusive, comprehensive, rigorous advanced academics cannot be ignored. GenAI alone is not enough to sustain learning, but when it is guided by a human teacher who knows each student's learning profiles, then realization of potential…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Education Programs, Gifted Education
Amy Chen Kulesa; Marisa Mission; Mary K. Wells; Alex Kotran – Bellwether, 2025
Generative artificial intelligence (GenAI) technology is transforming how we live, work, and learn, and the U.S. education sector faces unique challenges in keeping pace. While businesses are using artificial intelligence (AI) to increase efficiencies and scientists are using it to accelerate discovery, the value proposition for K-12 education is…
Descriptors: Artificial Intelligence, Elementary Secondary Education, Technology Uses in Education, Readiness
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Jie Yang; Ehsan Latif; Yuze He; Xiaoming Zhai – Journal of Science Education and Technology, 2025
The development of explanations for scientific phenomena is crucial in science assessment. However, the scoring of students' written explanations is a challenging and resource-intensive process. Large language models (LLMs) have demonstrated the potential to address these challenges, particularly when the explanations are written in English, an…
Descriptors: Artificial Intelligence, Technology Uses in Education, Automation, Scoring
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Ana Roman; Maria Simaitis; Kate Sheely; Yotam M. Roth; John T. Tansey; John Cogan – Biochemistry and Molecular Biology Education, 2025
ChatGPT has emerged as a popular choice in education that has transformed the experience for both teachers and students. This study investigates the performance of ChatGPT in aiding learning in the biochemistry classroom in two ways. We sought to determine how effective ChatGPT 3.5 was in generating study materials for an introductory biochemistry…
Descriptors: Artificial Intelligence, Biochemistry, Science Instruction, Technology Uses in Education
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Sharon Mistretta, Editor – IntechOpen, 2025
"Self-Regulated Learning--Insights and Innovations" explores the multifaceted nature of self-regulated learning (SRL) in today's dynamic educational landscape. This book serves as both a reflection on current SRL practices and a roadmap for future advancements. It offers a comprehensive look at SRL across diverse educational settings,…
Descriptors: Independent Study, Educational Innovation, Educational Practices, Artificial Intelligence
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Jihae Suh; Kyuhan Lee; Jaehwan Lee – Education and Information Technologies, 2025
Artificial Intelligence (AI) has rapidly emerged as a powerful tool with the potential to enhance learning environments. However, effective use of new technologies in education requires a good understanding of the technology and good design for its use. Generative AI such as ChatGPT requires particularly well-designed instructions due to its ease…
Descriptors: Programming, Computer Science Education, Artificial Intelligence, Technology Uses in Education
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