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Suna-Seyma Uçar; Inigo Lopez-Gazpio; Josu Lopez-Gazpio – Education and Information Technologies, 2025
Recent advancements in large language models (LLMs) have shown potential in enhancing educational practices, particularly in technology-assisted learning environments. This study critically evaluates the reasoning capabilities of LLMs, such as ChatGPT, within the context of chemistry education. We designed targeted adversarial prompts that…
Descriptors: Abstract Reasoning, Thinking Skills, Artificial Intelligence, Technology Uses in Education
Waleed Nawafleh; Lina Al-Abbas – Educational Process: International Journal, 2025
Background/purpose: This study aimed to investigate the effectiveness of a computerized instructional module based on artificial intelligence in acquiring scientific concepts and developing critical thinking among seventh-grade female students. Materials/methods: To achieve the study's objectives, an AI-based computerized instructional module was…
Descriptors: Artificial Intelligence, Technology Uses in Education, Science Education, Science Instruction
José Luís Araújo; Isabel Saúde – Journal of Chemical Education, 2024
The rapid evolution of Artificial Intelligence (AI) is profoundly shaping our society. Among various AI tools, ChatGPT stands out for its user-friendly nature and wide accessibility to the public. However, despite their countless potential benefits, these tools also face significant challenges, especially in sensitive areas like Education. In this…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Chemistry
Rachmatullah, Arif – ProQuest LLC, 2021
This dissertation conducted a science classroom intervention using two instructional approaches, computational modeling and paper-based pictorial modeling, in the context of food webs. A series of research papers were written on the impact of the intervention on students' attitudes and learning, and on teachers via professional development and…
Descriptors: Teaching Methods, Science Instruction, Food, Intervention
Chin, Doris B.; Dohmen, Ilsa M.; Cheng, Britte H.; Oppezzo, Marily A.; Chase, Catherine C.; Schwartz, Daniel L. – Educational Technology Research and Development, 2010
One valuable goal of instructional technologies in K-12 education is to prepare students for future learning. Two classroom studies examined whether Teachable Agents (TA) achieves this goal. TA is an instructional technology that draws on the social metaphor of teaching a computer agent to help students learn. Students teach their agent by…
Descriptors: Concept Mapping, Educational Technology, Elementary School Students, Science Instruction
Bowman, Catherine D. D. – British Journal of Educational Technology, 2012
Animated pedagogical agents (APAs) have the potential to provide one-on-one, just-in-time instruction, guidance or mentoring in classrooms where such individualized human interactions may be infeasible. Much current APA research focuses on a wide range of design variables tested with small samples or in laboratory settings, while overlooking…
Descriptors: Control Groups, Experimental Groups, Science Curriculum, Middle School Students
Vattam, Swaroop S.; Goel, Ashok K.; Rugaber, Spencer; Hmelo-Silver, Cindy E.; Jordan, Rebecca; Gray, Steven; Sinha, Suparna – Educational Technology & Society, 2011
Artificial intelligence research on creative design has led to Structure-Behavior-Function (SBF) models that emphasize functions as abstractions for organizing understanding of physical systems. Empirical studies on understanding complex systems suggest that novice understanding is shallow, typically focusing on their visible structures and…
Descriptors: Systems Approach, Middle School Students, Models, Science Instruction
Zhao, Guopeng; Ailiya; Shen, Zhiqi – Educational Technology & Society, 2012
Teachable agent is a type of pedagogical agent which instantiates Learning-by-Teaching theory through simulating a "naive" learner in order to motivate students to teach it. This paper discusses the limitation of existing teachable agents and incorporates intrinsic motivation to the agent model to enable teachable agents with initiative…
Descriptors: Foreign Countries, Instructional Design, Artificial Intelligence, Electronic Learning

Klopfer, Leopold E. – Journal of Computers in Mathematics and Science Teaching, 1986
Surveys the present status of science instructional software in the United States. Describes project efforts at the University of Pittsburgh on the development of intelligent tutoring systems (ITS). Explains the major components and provides microworld examples of ITS. Includes the software evaluation instrument and summarizes the evaluation…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Science Education, Computer Uses in Education
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
Corbett, Albert – Technological Horizons in Education, 1988
Discusses a research project that uses artificial intelligence techniques to help teach programing. Describes principles and implementation of the LISP Intelligent Tutoring System (LISPITS). Explains how the artificial intelligence technique was developed and possible future research. (MVL)
Descriptors: Artificial Intelligence, College Science, Computer Assisted Instruction, Computer Science

Good, Ron – Journal of Research in Science Teaching, 1987
Defines artificial intelligence (AI) in relation to intelligent computer-assisted instruction (ICAI) and science education. Provides a brief background of AI work, examples of expert systems, examples of ICAI work, and addresses problems facing AI workers that have implications for science education. Proposes a revised model of the Karplus/Renner…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Uses in Education, Educational Technology

Smith, Richard L., Comp. – Journal of Computers in Mathematics and Science Teaching, 1988
Provides an annotated list of references on computer-oriented projects. Includes information on computers; hands-on versus simulations; games; instruction; students' attitudes and learning styles; artificial intelligence; tutoring; and application of spreadsheets. (RT)
Descriptors: Artificial Intelligence, College Science, Computer Assisted Instruction, Computer Oriented Programs
Peterson, Nils S.; And Others – 1989
This project developed a new kind of computer simulation and explored its impact on teaching and learning in introductory biology. The aims of the project were to: (1) develop a flexible simulation environment that would permit students to design, build, and test realistic simulations; (2) support student experimentation with intelligent tutoring…
Descriptors: Artificial Intelligence, Biology, Computer Assisted Instruction, Computer Graphics

Wulfson, Stephen, Ed. – Science and Children, 1988
Reviews seven instructional software packages covering a variety of topics. Includes: "Science Square-Off"; "The Desert"; "Science Courseware: Physical Science"; "Odell Lake"; "Safety First"; "An Experience in Artificial Intelligence"; and "Master Mapper." (TW)
Descriptors: Artificial Intelligence, Cartography, Computer Assisted Instruction, Computer Graphics
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