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Wu, Ting-Ting; Lee, Hsin-Yu; Wang, Wei-Sheng; Lin, Chia-Ju; Huang, Yueh-Min – International Journal of Educational Technology in Higher Education, 2023
In the field of Science, Technology, Engineering, and Mathematics (STEM) education, which aims to cultivate problem-solving skills, accurately assessing learners' engagement remains a significant challenge. We present a solution to this issue with the Real-time Automated STEM Engagement Detection System (RASEDS). This innovative system capitalizes…
Descriptors: STEM Education, Learner Engagement, Self Efficacy, Problem Solving
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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
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Eli Bagno; Thierry Dana-Picard; Shulamit Reches – Open Education Studies, 2024
As soon as a new technology emerges, the education community explores its affordances and the possibilities to apply it in education. In this article, we analyze sessions with ChatGPT around topics in basic linear algebra. We reflect on the affordances and changes between two versions of ChatGPT since its worldwide publication in our area of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Algebra
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Allan Mesa Canonigo – Journal of Computer Assisted Learning, 2024
Motivation: This research investigates the transformative impact of integrating AI into mathematics education, aiming to enhance students' conceptual understanding and self-efficacy. It addresses the crucial need for innovative teaching methods in response to contemporary challenges in education and aims to fill gaps in understanding the potential…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Mathematics Instruction, Problem Solving
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Monteserin, Ariel; Schiaffino, Silvia; Amandi, Analia – Computers & Education, 2010
In CSCL systems, students who are solving problems in group have to negotiate with each other by exchanging proposals and arguments in order to resolve the conflicts and generate a shared solution. In this context, argument construction assistance is necessary to facilitate reaching to a consensus. This assistance is usually provided with isolated…
Descriptors: Persuasive Discourse, Problem Solving, Cooperative Learning, Artificial Intelligence
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Lynch, Collin; Ashley, Kevin D.; Pinkwart, Niels; Aleven, Vincent – International Journal of Artificial Intelligence in Education, 2009
In this paper we consider prior definitions of the terms "ill-defined domain" and "ill-defined problem". We then present alternate definitions that better support research at the intersection of Artificial Intelligence and Education. In our view both problems and domains are ill-defined when essential concepts, relations, or criteria are un- or…
Descriptors: Definitions, Artificial Intelligence, Problem Solving, Educational Research
Wyer, Jo-Anne – Programmed Learning and Educational Technology, 1984
Surveys some of the intelligent computer assisted instruction programs that have been authored and differentiates them from traditional computer assisted instruction. (Author)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Courseware, Development
Stansfield, James L.; And Others – 1976
An Intelligent Computer Aided Instruction (ICAI) program that incorporates an Expert module which allows the tutor to compare the student's response to those generated by an expert was developed for use with Wumpus, a simple maze-exploration game. The Wumpus Advisor program offers advice to a player involved in choosing the best move in a game for…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Programs, Decision Making Skills
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Blandford, A. E. – Journal of Artificial Intelligence in Education, 1994
Discussion of a prototype intelligent education system called WOMBAT (Weighted Objectives Method by Arguing with the Tutor) focuses on dialogue and negotiation in collaborative problem solving. The results of a formative evaluation, in which the system was used by 10 subjects who commented on various aspects of the design, are presented. (Contains…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Cooperative Learning, Educational Environment
Tilmann, Martha J. – 1984
Artificial intelligence, or the study of ideas that enable computers to be intelligent, is discussed in terms of what it is, what it has done, what it can do, and how it may affect the teaching of tomorrow. An extensive overview of artificial intelligence examines its goals and applications and types of artificial intelligence including (1) expert…
Descriptors: Artificial Intelligence, Clinical Diagnosis, Cognitive Processes, Computer Assisted Instruction
Sebrechts, Marc M.; Schooler, Lael J. – Collegiate Microcomputer, 1987
Describes the development of an artificial intelligence system called GIDE that analyzes student errors in statistics problems by inferring the students' intentions. Learning strategies involved in problem solving are discussed and the inclusion of goal structures is explained. (LRW)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Diagnostic Teaching, Inferences
Kirkpatrick, Susan N.; Biglan, Barbara – Computing Teacher, 1990
Describes activities that present concepts and applications of artificial intelligence (AI) for elementary and secondary school students. The use of Logo with elementary students is discussed; appropriate software is described; programing activities using Logo, BASIC, and Prolog are examined; and the field of robotics is discussed. (four…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Courseware, Elementary Secondary Education
Katz, Sandra; Lesgold, Alan – 1992
Student modeling--the task of building dynamic models of student ability--is fraught with uncertainty, caused by such factors as multiple sources of student errors, careless errors and lucky guesses, learning and forgetting. Within the context of the Sherlock intelligent tutoring systems project, we have been experimenting with various ways of…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Simulation, Electronics
Horak, Willis J. – 1991
Metacognitive skills may be defined in a variety of ways. Generally, these ways all apply to people's thinking about their own personal thinking. This research study analyzed students' interactions to computer programs to assess their metacognitive skills. The metacognitive skills assessed were: (1) planning a course of action; (2) monitoring the…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Learning Strategies, Metacognition
Goldstein, Ira – 1980
Computer coaching of students as an aid in problem-solving instruction is discussed. This report describes an advanced form of computer-assisted instruction that must not only present the material to be taught, but also analyze the student's responses. The program must decide whether to intervene and how much to say to a pupil based on its…
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Assisted Instruction, Educational Games
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