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Max Chen; Yichen Li; Hilson Shrestha; Noe¨lle Rakotondravony; Andrew Teixeira; Lane Harrison; Robert E. Dempski – Journal of Chemical Education, 2024
Industrial and academic laboratories are undergoing a paradigm shift in process technology from batch to modular flow. Implementation of modular flow processes can enable more efficient operation with superior throughput, scalability, and safety factors owing to superior transport and reaction kinetics. However, both fine chemical and…
Descriptors: Chemical Engineering, Chemistry, Undergraduate Students, Science Instruction
Sung, Shannon H.; Li, Chenglu; Chen, Guanhua; Huang, Xudong; Xie, Charles; Massicotte, Joyce; Shen, Ji – Journal of Science Education and Technology, 2021
In this paper, we demonstrate how machine learning could be used to quickly assess a student's multimodal representational thinking. Multimodal representational thinking is the complex construct that encodes how students form conceptual, perceptual, graphical, or mathematical symbols in their mind. The augmented reality (AR) technology is adopted…
Descriptors: Observation, Artificial Intelligence, Knowledge Representation, Grade 9
Mack Shelley, Editor; Ozkan Akman, Editor; Sabri Turgut, Editor – International Society for Technology, Education, and Science, 2024
"Proceedings of International Conference on Humanities, Social and Education Sciences" includes full papers presented at the International Conference on Humanities, Social and Education Sciences (iHSES) which took place on April 16-19, 2024, in San Francisco, California, United States of America. The aim of the conference is to offer…
Descriptors: Computer Uses in Education, Artificial Intelligence, Lifelong Learning, Community College Students
Pérez-Marín, Diana; Boza, Antonio – International Journal of Information and Communication Technology Education, 2013
Pedagogic Conversational Agents are computer applications that can interact with students in natural language. They have been used with satisfactory results on the instruction of several domains. The authors believe that they could also be useful for the instruction of Secondary Physics and Chemistry Education. Therefore, in this paper, the…
Descriptors: Secondary School Students, Secondary School Science, Science Instruction, Teaching Methods

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

Mandell, Alan; Lucking, Robert – Journal of Computers in Mathematics and Science Teaching, 1988
Discusses programs to provide a knowledge base and use the knowledge in a mode of artificial intelligence. Indicates that two methods of database storage are possible and opts to use a method using many data files while using a small RAM capacity. Lists several programs. (MVL)
Descriptors: Artificial Intelligence, Cognitive Processes, Cognitive Psychology, College Science

Mandell, Alan; Lucking, Robert – Journal of Computers in Mathematics and Science Teaching, 1989
Compares BASIC and LOGO systems in developing artificial intelligence systems. Provides listings of programs used for translating and sentence making. Describes methodology and compares the BASIC and LOGO programs. (MVL)
Descriptors: Artificial Intelligence, Cognitive Processes, College Science, Computer Uses in Education
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

Sunal, Cynthia Szymanski; Karr, Charles L.; Smith, Coralee; Sunal, Dennis W. – Journal of College Science Teaching, 2003
Describes an interdisciplinary course focusing on modeling scientific systems. Investigates elementary education majors' applications of three artificial intelligence concepts used in modeling scientific systems before and after the course. Reveals a great increase in understanding of concepts presented but inconsistent application. (Author/KHR)
Descriptors: Artificial Intelligence, Computer Uses in Education, Concept Formation, Education Majors

de Monchy, Allan R.; And Others – Analytical Chemistry, 1988
Discusses two computer problem solving programs: rule-based expert systems and decision analysis expert systems. Explores the application of expert systems to automated chemical analyses. Presents six factors to consider before using expert systems. (MVL)
Descriptors: Artificial Intelligence, Chemical Analysis, Chemistry, College Science

Mandell, Alan; Lucking, Robert – Journal of Computers in Mathematics and Science Teaching, 1989
Compares a program written both in BASIC and LOGO on its inferential and decision making ability. Explains steps in each program and how deductions and decisions are made. (MVL)
Descriptors: Artificial Intelligence, Cognitive Processes, College Science, Computer Software

Lopez, Antonio M., Jr. – Mathematics and Computer Education, 1989
Provides background material on logic programing and presents PROLOG as a high-level artificial intelligence programing language that borrows its basic constructs from logic. Suggests the language is one which will help the educator to achieve various goals, particularly the promotion of problem solving ability. (MVL)
Descriptors: Artificial Intelligence, College Science, Computer Science, Computer Science Education

Settle, Frank A., Jr. – Journal of Chemical Education, 1987
Describes the construction of expert computer systems using artificial intelligence technology and commercially available software, known as an expert system shell. Provides two applications; a simple one, the identification of seven white substances, and a more complicated one involving the qualitative analysis of six metal ions. (TW)
Descriptors: Artificial Intelligence, Chemical Analysis, Chemistry, College Science
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