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Noah L. Schroeder; Robert O. Davis; Eunbyul Yang – Journal of Educational Computing Research, 2025
Pedagogical agents are virtual characters that instructional designers include in learning environments to help students learn. Research in the area has flourished for thirty years, yet there are still critical questions about the efficacy of pedagogical agents for influencing learning and affect. As such, we conducted an umbrella review to…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Intelligent Tutoring Systems
Yang Yuan – International Journal of Web-Based Learning and Teaching Technologies, 2024
In order to explore the maturity of online concerts and the digital content of music resources, this article analyzes the role of artificial intelligence in music education, discusses the application of artificial intelligence in music education and the development trend of artificial intelligence in education, and studies the quality of vocal…
Descriptors: Music Education, Singing, Artificial Intelligence, Educational Technology
Shaofeng Wang; Zhuo Sun – Education and Information Technologies, 2025
Artificial Intelligence (AI) is increasingly being integrated into educational settings, with Intelligent Personal Assistants (IPAs) playing a significant role. However, the psychological impact of these AI assistants on fostering active learning behaviors needs to be better understood. This research study addresses this gap by proposing a…
Descriptors: Artificial Intelligence, Active Learning, Redundancy, Role
Alexandre Machado; Kamilla Tenório; Mateus Monteiro Santos; Aristoteles Peixoto Barros; Luiz Rodrigues; Rafael Ferreira Mello; Ranilson Paiva; Diego Dermeval – Smart Learning Environments, 2025
Researchers are increasingly interested in enabling teachers to monitor and adapt gamification design in the context of intelligent tutoring systems (ITSs). These contributions rely on teachers' needs and preferences to adjust the gamification design according to student performance. This work extends previous studies on teachers' perception of…
Descriptors: Faculty Workload, Educational Resources, Artificial Intelligence, Technology Uses in Education
Julie Eng; Heather Umphlett; Jocelyn Gilchrist; Alicia Howell; Mary Ann Howell; Wendy Miller-Edwards; Laurel Pope – Inquiry: The Journal of the Virginia Community Colleges, 2025
The country, the Commonwealth of Virginia, and Virginia Community College System initiatives all promote generative AI within education. It is a topic of great concern and interest for higher education instructors, yet at the same time many faculty members feel uncertain about effectively integrating it into class material. To further add pressure…
Descriptors: Artificial Intelligence, Community Colleges, Educational Practices, Technology Uses in Education
Abubaker Qutieshat – SpringerBriefs in Education, 2025
This book is multi-dimensional exploration of Ivan Illich's critique of institutionalized education. It dissects, analyzes, and understands the implications of his critique for the future of education in a world increasingly influenced by technology, particularly artificial intelligence (AI). The book outlines the problems with current educational…
Descriptors: Artificial Intelligence, Higher Education, Technology Uses in Education, Educational Technology
Hakan Güldal; Emrah Oguzhan Dinçer – Education and Information Technologies, 2025
The purpose of this study was to investigate student perceptions and acceptance of a rule-based educational chatbot in higher education, employing the TAM (Technology Acceptance Model) framework. The researchers developed a rule-based chatbot for this purpose and examined the students' technology acceptance using qualitative research methods.…
Descriptors: Foreign Countries, Artificial Intelligence, College Students, Simulation
Kason Ka Ching Cheung; Yun Long; Qian Liu; Ho-Yin Chan – Science & Education, 2025
There is a growing application of Artificial Intelligence (AI) in K-12 science classrooms. In K-12 education, students harness AI technologies to acquire scientific knowledge, ranging from automated personalized virtual scientific inquiry to generative AI tools such as ChatGPT, Sora, and Google Bard. These AI technologies inherit various strengths…
Descriptors: Literature Reviews, Artificial Intelligence, Science Education, Elementary Secondary Education
Jun Liu; Cong Wang; Zile Liu; Minghui Gao; Yanhua Xu; Jiayu Chen; Yichun Cheng – Asia Pacific Journal of Education, 2024
The rapid advancement of generative AI technology offers new opportunities for the innovation and transformation of education. However, this also brings forth risks and challenges, including the potential to exacerbate educational inequality and integrity. This study aims to address the extensive controversies surrounding the application of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Bibliometrics, Content Analysis
Elkin Arturo Betancourt Ramirez; Juan Antonio Fuentes Esparrell – Educational Process: International Journal, 2024
Background/purpose: Exploring intelligent agents in digital learning raises questions about the essence of Artificial Intelligence (AI) and its potential impact on education. This article provides insights into these inquiries and outlines outcomes from various experimental implementations, emphasizing the pivotal role of intelligent agents and…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Foreign Countries
Muhammad Imran; Norah Almusharraf – Smart Learning Environments, 2024
This emerging technology report discusses Google Gemini as a multimodal generative AI tool and presents its revolutionary potential for future educational technology. It introduces Gemini and its features, including versatility in processing data from text, image, audio, and video inputs and generating diverse content types. This study discusses…
Descriptors: Artificial Intelligence, Computer Software, Educational Technology, Technology Uses in Education
Joseph E. Aoun – MIT Press, 2024
In 2017, "Robot-Proof," the first edition, foresaw the advent of the AI economy and called for a new model of higher education designed to help human beings flourish alongside smart machines. That economy has arrived. Creative tasks that, seven years ago, seemed resistant to automation can now be performed with a simple prompt. As a…
Descriptors: Artificial Intelligence, Higher Education, Educational Technology, Technology Uses in Education
Harry Barton Essel; Dimitrios Vlachopoulos; Henry Nunoo-Mensah; John Opuni Amankwa – British Journal of Educational Technology, 2025
Conversational user interfaces (CUI), including voice interfaces, which allow users to converse with computers via voice, are gaining wide popularity. VoiceBots allow users to receive a response in real-time, regardless of the communication device. VoiceBots have been explored in fields such as customer service to automate repetitive queries and…
Descriptors: Foreign Countries, Artificial Intelligence, Program Effectiveness, Undergraduate Students
Tommy Tanu Wijaya; Mingyu Su; Yiming Cao; Robert Weinhandl; Tony Houghton – Education and Information Technologies, 2025
Integrating AI Chatbots into teaching and learning activities is a growing trend, and understanding the readiness of preservice mathematics teachers to use AI Chatbots is crucial for successful implementation in educational settings. This study examines the factors influencing the adoption of AI Chatbots by preservice mathematics teachers in…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Uses in Education
Nan Xie; Zhengxu Li; Haipeng Lu; Wei Pang; Jiayin Song; Beier Lu – IEEE Transactions on Learning Technologies, 2025
Classroom engagement is a critical factor for evaluating students' learning outcomes and teachers' instructional strategies. Traditional methods for detecting classroom engagement, such as coding and questionnaires, are often limited by delays, subjectivity, and external interference. While some neural network models have been proposed to detect…
Descriptors: Learner Engagement, Artificial Intelligence, Technology Uses in Education, Educational Technology