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Showing all 15 results Save | Export
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Yingjie Liu; Qinglong Zhan; Wenping Zhao – Interactive Learning Environments, 2024
This paper presents a systematic review of the application models, affects, and performance outcomes of VR/AR in vocational education. The analysis is based on journal articles retrieved from renowned databases such as Web of Science, Scopus, and EBSCO, spanning from January 2000 to January 2022. It highlights the pedagogical value of VR/AR in…
Descriptors: Computer Simulation, Artificial Intelligence, Vocational Education, Technology Uses in Education
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Casal-Otero, Lorena; Catala, Alejandro; Fernández-Morante, Carmen; Taboada, Maria; Cebreiro, Beatriz; Barro, Senén – International Journal of STEM Education, 2023
The successful irruption of AI-based technology in our daily lives has led to a growing educational, social, and political interest in training citizens in AI. Education systems now need to train students at the K-12 level to live in a society where they must interact with AI. Thus, AI literacy is a pedagogical and cognitive challenge at the K-12…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Multiple Literacies, Integrated Curriculum
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Selahattin Alan; Eyup Yurt – International Journal of Modern Education Studies, 2024
The limitations of traditional education models and the advancement of technology have revealed the need to transform the learning experience. The "Flipped Learning" approach, born out of this need, is a model where students study learning materials in advance and participate in more interactive and hands-on activities in the classroom.…
Descriptors: Flipped Classroom, Natural Language Processing, Artificial Intelligence, Educational Innovation
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Musa Saimon; Fredrick Mtenzi; Zsolt Lavicza; Kristóf Fenyvesi; Maik Arnold; José Manuel Diego-Mantecón – Education and Information Technologies, 2024
The 6E Learning by Design (LbD) model can enhance student teachers' development of competence for integrating technologies in the classrooms including Artificial Intelligence (AI). However, teacher educators rarely use the 6E LbD model in supporting and encouraging student teachers to integrate AI applications in their classrooms effectively. To…
Descriptors: Student Teachers, Teacher Educators, Artificial Intelligence, Technology Integration
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Nizhenkovska, Iryna V.; Reva, Tatiana D.; Chkhalo, Oksana M.; But, Iryna O.; Manchenko, Oksana V. – International Journal of Educational Methodology, 2022
The purpose of the study was to identify the - interventions that can be adopted for teaching chemistry disciplines to the graduates majoring in Pharmacy (Mpharm) in Ukraine. The study employed a systematic review methodology and a qualitative approach to synthesising the sources. The triangular assessment method was used to rate the short-listed…
Descriptors: Chemistry, Science Teachers, Pharmaceutical Education, Pharmacology
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Eleonora Barelli; Michael Lodi; Laura Branchetti; Olivia Levrini – Science & Education, 2025
In a historical moment in which Artificial Intelligence and machine learning have become within everyone's reach, science education needs to find new ways to foster "AI literacy." Since the AI revolution is not only a matter of having introduced extremely performant tools but has been determining a radical change in how we conceive and…
Descriptors: Artificial Intelligence, Science Education, Cognitive Development, Cultural Influences
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Yulin Zhao; Junke Li; Kai Liu – Education and Information Technologies, 2024
Information technology is a significant action to promote education informatization. Currently, there are numerous literature studies on information technology education, but existing research lacks a comparative summary of the research status, research hot spots, and research trend of information technology in China and abroad from an overall…
Descriptors: Foreign Countries, Educational Research, Educational Trends, Information Technology
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Rienzo, Thomas F.; Athappilly, Kuriakose K. – Decision Sciences Journal of Innovative Education, 2012
Business students taking data mining classes are often introduced to artificial neural networks (ANN) through point and click navigation exercises in application software. Even if correct outcomes are obtained, students frequently do not obtain a thorough understanding of ANN processes. This spreadsheet model was created to illuminate the roles of…
Descriptors: Spreadsheets, Artificial Intelligence, Teaching Methods, Educational Practices
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Barella, A.; Valero, S.; Carrascosa, C. – IEEE Transactions on Education, 2009
This paper presents a new environment for teaching practical work in AI subjects. The main purpose of this environment is to make AI techniques more appealing to students and to facilitate the use of the toolkits which are currently widely used in research and development. This new environment has a toolkit for developing and executing agents,…
Descriptors: Research and Development, Science Education, Case Studies, Teaching Methods
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Bailin, Alan – CALICO Journal, 1988
Computer-assisted language instruction incorporating artificial intelligence (CALI-AI) is based on the assumption that human cognitive abilities can be reproduced by mechanical means. The major components of CALI-AI are: 1) natural language processing; 2) problem solving; 3) language learning; and 4) modeling teacher behavior. Language teachers…
Descriptors: Artificial Intelligence, Cognitive Ability, Computer Assisted Instruction, Language Processing
Ragan, Tillman J. – 1986
This paper argues that research findings from the study of teaching could be very useful in enhancing knowledge and tools for the design of both conventional and intelligent instructional software. It also suggests that if the ways in which teachers effectively conduct instruction are different and in certain ways better than other media, and if…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Software, Instructional Design
Cohen, Harvey A. – 1975
Several models for problem solving are discussed, and the idea of a heuristic frame is developed. This concept provides a description of the evolution of problem-solving skills in terms of the growth of the number of algorithms available and increased sophistication in their use. The heuristic frame model is applied to two sets of physical…
Descriptors: Artificial Intelligence, Computers, Instruction, Learning Theories
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Dillenbourg, Pierre – Journal of Artificial Intelligence in Education, 1996
Maintains that diagnosis, explanation, and tutoring, the functions of an interactive learning environment, are collaborative processes. Examines how human-computer interaction can be improved using a distributed cognition framework. Discusses situational and distributed knowledge theories and provides a model on how they can be used to redesign…
Descriptors: Artificial Intelligence, Cognitive Development, Communication (Thought Transfer), Computer Assisted Instruction
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Copeland, Willis D. – Journal of Teacher Education, 1989
Fostering teachers' clinical reasoning as a reflection of their understanding of classrooms should be a central purpose of any modern teacher education program. This article presents a rationale for and description of a proposal for pre-student teaching laboratory experiences which utilize computer-based simulations to facilitate development of…
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Simulation, Higher Education
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Moore, Johanna D. – Journal of Artificial Intelligence in Education, 1996
Describes those features that distinguish human tutorial explanations from those produced by computer-based instructional systems utilizing natural language interfaces. This is illustrated through a study conducted on an intelligent instruction system, drawing comparisons between student interaction with a human tutor and the system feedback.…
Descriptors: Artificial Intelligence, Comparative Analysis, Computer Assisted Instruction, Discourse Analysis