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Helen Crompton; Diane Burke – TechTrends: Linking Research and Practice to Improve Learning, 2024
ChatGPT was released to the public in November 30, 2022. This study examines how ChatGPT can be used by educators and students to promote learning and what are the challenges and limitations. This study is unique in providing one of the first systematic reviews using peer review studies to provide an early examination of the field. Using PRISMA…
Descriptors: Artificial Intelligence, Barriers, Technology Uses in Education, Natural Language Processing
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Lauren Hays; Odin Jurkowski; Shantia Kerr Sims – TechTrends: Linking Research and Practice to Improve Learning, 2024
There has been a great deal written about ChatGPT since its launch in late 2022. Many news stories specifically address the impact of ChatGPT on education. However, there has been little research showing what K-12 teachers are thinking about and doing with ChatGPT. This research article helps to fill that gap. A survey of Missouri teachers was…
Descriptors: Kindergarten, Elementary Secondary Education, Faculty Development, Artificial Intelligence
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Tristan Kumor; Lida Uribe-Flórez; Jesús Trespalacios; Dazhi Yang – TechTrends: Linking Research and Practice to Improve Learning, 2024
There has been a limited amount of research that has attempted to determine teaching strategies using adaptive learning systems. Most studies have attempted to measure success of the use of these technologies based on improvements in students' test scores but have lacked to provide any information regarding the pedagogy implemented while using the…
Descriptors: High School Teachers, Mathematics Teachers, Teacher Attitudes, Teaching Methods
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Murphy, Michelle Pauley; Hung, Woei – TechTrends: Linking Research and Practice to Improve Learning, 2023
One hundred years ago, Paul Weiss and Ludwig von Bertalanffy independently proposed that living organisms interact with their environment through systems. In the century that has followed, systems thinking and modeling have grown in tandem with discovery of the vast complexity of the universe at microscopic through astronomic levels. As our…
Descriptors: Systems Approach, Cognitive Processes, Artificial Intelligence, Learning Processes
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Siegle, Robert F.; Schroeder, Noah L.; Lane, H. Chad; Craig, Scotty D. – TechTrends: Linking Research and Practice to Improve Learning, 2023
Pedagogical agents are on-screen characters that help facilitate learning in a virtual or mixed-reality setting. The research on pedagogical agents has shifted focus since their creation, from understanding their underlying principles, identifying their potential roles and usage, and recently finetuning their design for applied practice. This…
Descriptors: Teaching Methods, Artificial Intelligence, Technology Uses in Education, Barriers
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Punya Mishra; Nicole Oster; Danah Henriksen – TechTrends: Linking Research and Practice to Improve Learning, 2024
This article reflects on the transformative nature of generative AI (GenAI) tools for teaching and teacher education, both reflecting on current innovation and consider future potentials and challenges. In that sense, we aim to position the field of education going forward with the implications of new technologies like GenAI for education…
Descriptors: Educational Research, Artificial Intelligence, Knowledge Base for Teaching, Teacher Characteristics
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Anya S. Evmenova; Jered Borup; Joan Kang Shin – TechTrends: Linking Research and Practice to Improve Learning, 2024
While generative AI such as ChatGPT has important drawbacks, it can potentially unlock new types of learning and support -- specially for English learners and students with disabilities -- by facilitating teachers' Universal Design for Learning (UDL) efforts. As generative AI is quickly becoming an integral part of our lives (e.g., being…
Descriptors: Artificial Intelligence, Teaching Methods, Instructional Design, Information Technology
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Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
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Punya Mishra; Danah Henriksen; Lauren J. Woo; Nicole Oster – TechTrends: Linking Research and Practice to Improve Learning, 2025
The emergence of generative artificial intelligence (GenAI) has reignited long-standing debates about technology's role in education. While GenAI potentially offers personalized learning, adaptive tutoring, and automated support, it also raises concerns about algorithmic bias, de-skilling educators, and diminishing human connection. This…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational History, Influence of Technology
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Xinyue Ren; Min Lun Wu – TechTrends: Linking Research and Practice to Improve Learning, 2025
The rapid development of artificial intelligence (AI) technologies has demonstrated their affordances and limitations in revolutionizing pedagogical strategies in higher education. Given the lack of guidelines, policies, and resources to assist instructors in efficiently and ethically integrating AI into teaching and learning practices, this…
Descriptors: Teacher Competencies, Artificial Intelligence, Technology Uses in Education, Technology Integration
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Rita Mathew; Jill E. Stefaniak – TechTrends: Linking Research and Practice to Improve Learning, 2024
This paper provides an overview of a needs assessment study conducted in higher education to address the impact of generative AI, specifically ChatGPT, on faculty development and instructional strategies. The study acknowledges the disruptive effect of AI on academia and the varying responses from faculty members. It emphasizes the importance of…
Descriptors: Needs Assessment, Artificial Intelligence, Information Technology, Consciousness Raising
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Huang, Wanju – TechTrends: Linking Research and Practice to Improve Learning, 2023
A design case is a form of scholarly writing in which the author embarks on a reflective journey sharing rich descriptions of their design, design processes, challenges, etc. This paper presents two design cases that demonstrate how learning theories and instructional design concepts were purposefully incorporated in two instructional applications…
Descriptors: Learning Processes, Instructional Design, Learning Theories, Artificial Intelligence