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Reginald Lucien; Sanghoon Park – TechTrends: Linking Research and Practice to Improve Learning, 2024
The purpose of this study was to share the design and development case of Advising Virtual Assistant (AVA), a chatbot created to provide support in academic advising in higher education. By analyzing participants' usage data and chatbot performance, we attempted to understand how students engage with AVA to fulfill their advising needs. AVA…
Descriptors: Artificial Intelligence, Academic Advising, College Students, Program Effectiveness
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Hagit Meishar-Tal – TechTrends: Linking Research and Practice to Improve Learning, 2024
This paper critically analyzes the potential impact of ChatGPT, a creative artificial intelligence tool, on learning and teaching, focusing on its impact on using writing assignments as a means of assessing knowledge. The paper examines the challenges this tool presents to learners and teachers in various aspects, including writing as a means of…
Descriptors: Artificial Intelligence, Educational Technology, Barriers, Writing (Composition)
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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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Alexis Danielle Bolick; Rafael Leonardo da Silva – TechTrends: Linking Research and Practice to Improve Learning, 2024
This article explores the potential impact of Artificial Intelligence (AI) tools on Instructional Design (ID) workflows and organizations from a systems thinking perspective (Meadows, 2008). We provide an in-depth analysis of how three AI tools, ChatGPT, Midjourney, and Descript, can enhance efficiency in instructional design content creation…
Descriptors: Artificial Intelligence, Instructional Design, Task Analysis, Ethics
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Celik, Ismail; Dindar, Muhterem; Muukkonen, Hanni; Järvelä, Sanna – TechTrends: Linking Research and Practice to Improve Learning, 2022
This study provides an overview of research on teachers' use of artificial intelligence (AI) applications and machine learning methods to analyze teachers' data. Our analysis showed that AI offers teachers several opportunities for improved planning (e.g., by defining students' needs and familiarizing teachers with such needs), implementation…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Teacher Role
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Jinhee Kim – TechTrends: Linking Research and Practice to Improve Learning, 2025
While there has been ample discussion regarding Artificial Intelligence (AI)'s contributions and challenges on the development agenda at the policy level, little is known about how students translate the potential and barriers of AI in achieving Sustainable Development Goals (SDGs). Drawing upon various qualitative data, including class…
Descriptors: Artificial Intelligence, Sustainable Development, Undergraduate Students, Student Attitudes
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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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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