The use of large language models (LLMs) in education is often debated, but when used effectively, they can enhance learning. LLMs can be particularly useful for reinforcing physiology concepts, such as diagnostic reasoning in acid-base balance disorders. Traditional case-based learning is limited by the number of instructor-provided cases, whereas…

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…

Background: Primary science education is critical for developing scientific literacy and fostering long-term interest in STEM. However, implementation faces challenges such as limited teacher preparation, rigid curricula, and unequal digital access. Purpose: This study aims to map the intellectual structure and emerging trends in primary science…

Improving academic performance and achievement requires educational systems to adopt inclusive learning practices that recognize and accommodate the diverse needs of all students. Inclusive education emphasizes equitable access to learning opportunities, tailored instructional methods, and supportive environments that value each learner's…

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…

"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…

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…

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…

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)

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)

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)

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…

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)

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)

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)