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Exploring the Performance of ChatGPT for Numerical Solution of Ordinary Differential Equations
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Saso Koceski; Natasa Koceska; Limonka Koceva Lazarova; Marija Miteva; Biljana Zlatanovska – Journal of Technology and Science Education, 2025
This study aims to evaluate ChatGPT's capabilities in certain numerical analysis problem: solving ordinary differential equations. The methodology which is developed in order to conduct this research takes into account the following mathematical abilities (defined according to National Centre for Education Statistics): Conceptual Understanding,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Number Concepts, Problem Solving
Predicting the Percentage of Student Placement: A Comparative Study of Machine Learning Algorithms
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Çakit, Erman; Dagdeviren, Metin – Education and Information Technologies, 2022
In recent years, there has been an increase in the demand for higher education in Turkey, where the demand, as in most other countries, exceeds what is available. The main purpose of this research is to develop machine learning algorithms for predicting the percentage of student placement based on the data related to the university's academic…
Descriptors: Student Placement, Foreign Countries, Artificial Intelligence, Mathematics
Venturing into the Unknown: Critical Insights into Grey Areas and Pioneering Future Directions in Educational Generative AI Research
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Junhong Xiao; Aras Bozkurt; Mark Nichols; Angelica Pazurek; Christian M. Stracke; John Y. H. Bai; Robert Farrow; Dónal Mulligan; Chrissi Nerantzi; Ramesh Chander Sharma; Lenandlar Singh; Isak Frumin; Andrew Swindell; Sarah Honeychurch; Melissa Bond; Jon Dron; Stephanie Moore; Jing Leng; Patricia J. Slagter van Tryon; Manuel Garcia; Evgeniy Terentev; Ahmed Tlili; Thomas K. F. Chiu; Charles B. Hodges; Petar Jandric; Alexander Sidorkin; Helen Crompton; Stefan Hrastinski; Apostolos Koutropoulos; Mutlu Cukurova; Peter Shea; Steven Watson; Kai Zhang; Kyungmee Lee; Eamon Costello; Mike Sharples; Anton Vorochkov; Bryan Alexander; Maha Bali; Robert L. Moore; Olaf Zawacki-Richter; Tutaleni Iita Asino; Henk Huijser; Chanjin Zheng; Sunagül Sani-Bozkurt; Josep M. Duart; Chryssa Themeli – TechTrends: Linking Research and Practice to Improve Learning, 2025
Advocates of AI in Education (AIEd) assert that the current generation of technologies, collectively dubbed artificial intelligence, including generative artificial intelligence (GenAI), promise results that can transform our conceptions of what education looks like. Therefore, it is imperative to investigate how educators perceive GenAI and its…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Trends, Trend Analysis
A Path to Formative Assessment through Naturalistic Inputs
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Cohen, Jonathan; Leroux, Audrey – Journal of Interactive Learning Research, 2017
This paper reports on the development of a system in which naturalistic inputs are collected by a web-based e-reader and, in combination with a measurement of readers' comprehension of that text, are analyzed by a neural network to determine the nature of the relationship between the annotations and comprehension. Results showed that neural…
Descriptors: Formative Evaluation, Input Output Analysis, Data Collection, Electronic Publishing
Machine Learning Through Signature Trees. Applications to Human Speech.
White, George M. – 1970
A signature tree is a binary decision tree used to classify unknown patterns. An attempt was made to develop a computer program for manipulating signature trees as a general research tool for exploring machine learning and pattern recognition. The program was applied to the problem of speech recognition to test its effectiveness for a specific…
Descriptors: Acoustic Phonetics, Artificial Intelligence, Computer Programs, Distinctive Features (Language)
Aspects of a Natural Language Based Artificial Intelligence System Report Number Seven: Language and the Structure of Knowledge.
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Borden, George A. – 1971
ARIS is an artificial intelligence system which uses the English language to learn, understand, and communicate. The system attempts to simulate the psychoneurological processes which enable man to communicate verbally. It uses a modified stratificational grammar model and is being programed in PL/1 (a programing language) for an IBM 360/67…
Descriptors: Artificial Intelligence, Association (Psychology), Cognitive Processes, Computational Linguistics
Adaptive Computer-Assisted Tutorials: A Cybernetic Approach Optimization with Finite-State Machines.
Offir, Joseph – 1976
This paper presents the concepts of a computer-directed system to improve human performance in structured learning situations. Attention is focused on finite-state systems in order to provide a systematic method for constructing training systems and to assist in analysis of problem solving and curriculum planning. The finite-state approach allows…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Oriented Programs, Cybernetics