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Showing all 15 results Save | Export
Amy Adair – ProQuest LLC, 2024
Developing models, using mathematics, and constructing explanations are three practices essential for science inquiry learning according to education reform efforts, such as the Next Generation Science Standards (NGSS Lead States, 2013). However, students struggle with these intersecting practices, especially when developing and interpreting…
Descriptors: Artificial Intelligence, Evaluation Methods, Scaffolding (Teaching Technique), Mathematics
Janice D. Gobert; Michael A. Sao Pedro; Haiying Li; Christine Lott – Grantee Submission, 2023
In this entry, we define Intelligent Tutoring Systems (ITSs) and present a description of their core components. We outline a history of the development of ITSs with a focus on key issues that have driven change and innovation in ITSs from their inception to present day. We also present a brief case study on a specific ITS, Inq-ITS (Inquiry…
Descriptors: Intelligent Tutoring Systems, Student Evaluation, Evaluation Methods, Natural Language Processing
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Ai-Chu Elisha Ding – Journal of Research on Technology in Education, 2024
Multilingual learners (MLs) often struggle with science conceptual learning partly due to the abstractness of the concepts and the complexity of scientific texts. This study presents a case of a Virtual Reality (VR) enhanced science learning unit to support middle-school students' science conceptual learning. Using a transformative mixed methods…
Descriptors: Multilingualism, Science Education, Learning Processes, Computer Simulation
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González-Pérez, Paula; Marrero-Galván, Juan José – Journal of Technology and Science Education, 2023
Teachers often use analogies to introduce unfamiliar or complex concepts. However, several studies have found that their knowledge on how to use them is limited or superficial. Similarly, the integration of technological resources in the teaching-learning processes is not always carried out efficiently, which evidences the need to improve…
Descriptors: Foreign Countries, Masters Degrees, Science Teachers, Science Education
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Chiu, Wang-Kin – Education Sciences, 2021
The technological advancement and rapid development of artificial intelligence have led to a growing number of studies investigating pedagogical innovations incorporated with emerging technologies in this digital era. An increasing amount of empirical evidence has suggested the potential benefits of incorporating digital technologies and…
Descriptors: Technological Advancement, Artificial Intelligence, Educational Innovation, Educational Technology
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Meletiadou, Eleni, Ed. – IGI Global, 2023
Recent evolutions, such as pervasive networking and other enabling technologies, have been increasingly changing human life, knowledge acquisition, and the way works are performed and students learn. In this societal change, educational institutions must maintain their leading role. They have therefore embraced digitally enhanced learning to…
Descriptors: Educational Change, Educational Technology, Technology Uses in Education, Student Needs
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Samantha M. Curle Ed.; Mustafa Tevfik Hebebci – Online Submission, 2023
The International Conference on Academic Studies in Technology and Education (ICASTE) is set to take place at Amara Premier Palace Hotel in Antalya, Turkey, from November 16-19, 2023. Organized by the International Society for Research in Education and Science (ISRES) and the International Society for Academic Research in Science, Technology, and…
Descriptors: Educational Technology, Artificial Intelligence, Higher Education, Learner Engagement
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Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – Educational Technology Research and Development, 2013
Betty's Brain is an open-ended learning environment in which students learn about science topics by teaching a virtual agent named Betty through the construction of a visual causal map that represents the relevant science phenomena. The task is complex, and success requires the use of metacognitive strategies that support knowledge acquisition,…
Descriptors: Artificial Intelligence, Computer Simulation, Computer Mediated Communication, Intelligent Tutoring Systems
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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
Gardner, Howard – 1985
A cadre of thinkers called cognitive scientists has been investigating some of the same issues that first possessed the Greeks. As did the Greeks, they seek to understand what is known, ponder the sources of knowledge, conjecture about the various vehicles of knowledge, reflect on language, and speculate on the nature of the activity of knowing.…
Descriptors: Anthropology, Artificial Intelligence, Cognitive Psychology, College Science
Carbonell, Jaime G.; And Others – 1983
Expert reasoning in the natural sciences appears to make extensive use of a relatively small number of general principles and reasoning strategies, each associated with a larger number of more specific inference patterns. Using a dual declarative hierarchy to represent strategic and factual knowledge, a framework for a robust scientific reasoning…
Descriptors: Artificial Intelligence, College Science, Computer Assisted Instruction, Computer Simulation
Gibson, David; Aldrich, Clark; Prensky, Marc – Information Science Publishing, 2007
Games and Simulations in Online Learning: Research and Development Frameworks examines the potential of games and simulations in online learning, and how the future could look as developers learn to use the emerging capabilities of the Semantic Web. It presents a general understanding of how the Semantic Web will impact education and how games and…
Descriptors: Electronic Learning, Educational Games, Computers, Computer Simulation
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Mandell, Alan – Journal of Computers in Mathematics and Science Teaching, 1986
Explains the functions of and the techniques employed in expert systems. Offers the program "The Periodic Table Expert," as a model for using artificial intelligence techniques in BASIC. Includes the program listing and directions for its use on: Tandy 1000, 1200, and 2000; IBM PC; PC Jr; TRS-80; and Apple computers. (ML)
Descriptors: Artificial Intelligence, Chemistry, Computer Simulation, Computer Software
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Tallon, Bill; And Others – School Science Review, 1983
Discusses use of microcomputers for structuring, communicating, and disseminating information under the categories of instructional use (computer-assisted instruction), emancipation (number crunching), revelatory (discovery/simulation), and conjectural (hypothesis testing). Also discusses use of PROLOG language for modeling ecosystems and testing…
Descriptors: Artificial Intelligence, Biology, Computer Assisted Instruction, Computer Managed Instruction
Birnbaum, Lawrence, Ed. – 1991
This volume contains the papers presented at the fifth International Conference on the Learning Sciences (formerly the International Conference on Artificial Intelligence and Education). As the change in name signifies, a strong effort has been made to open the conference to a broader audience, including educational and cognitive psychologists…
Descriptors: Artificial Intelligence, Authoring Aids (Programing), Cognitive Processes, Computer Simulation