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Alex Lyman; Bryce Hepner; Lisa P. Argyle; Ethan C. Busby; Joshua R. Gubler; David Wingate – Sociological Methods & Research, 2025
Generative artificial intelligence (AI) has the potential to revolutionize social science research. However, researchers face the difficult challenge of choosing a specific AI model, often without social science-specific guidance. To demonstrate the importance of this choice, we present an evaluation of the effect of alignment, or human-driven…
Descriptors: Artificial Intelligence, Computer Simulation, Open Source Technology, Social Science Research
Tanja Käser; Giora Alexandron – International Journal of Artificial Intelligence in Education, 2024
Simulation is a powerful approach that plays a significant role in science and technology. Computational models that simulate learner interactions and data hold great promise for educational technology as well. Amongst others, simulated learners can be used for teacher training, for generating and evaluating hypotheses on human learning, for…
Descriptors: Computer Simulation, Educational Technology, Artificial Intelligence, Algorithms
Harikesh Singh; Li-Minn Ang; Dipak Paudyal; Mauricio Acuna; Prashant Kumar Srivastava; Sanjeev Kumar Srivastava – Technology, Knowledge and Learning, 2025
Wildfires pose significant environmental threats in Australia, impacting ecosystems, human lives, and property. This review article provides a comprehensive analysis of various empirical and dynamic wildfire simulators alongside machine learning (ML) techniques employed for wildfire prediction in Australia. The study examines the effectiveness of…
Descriptors: Artificial Intelligence, Computer Software, Computer Simulation, Prediction
Jyoti Wadmare; Dakshita Kolte; Kapil Bhatia; Palak Desai; Ganesh Wadmare – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This paper highlights an innovative and impactful online operating system algorithms e-learning tool in engineering education. Background: Common teaching methodologies make it difficult to teach complex algorithms of operating systems. This paper presents a solution to this problem by providing simulations of different complex…
Descriptors: Engineering, Science Education, Material Development, Computer Simulation
Line Have Musaeus; Deborah Tatar; Peter Musaeus – Journal of Biological Education, 2024
Computational modelling is widely used in biological science. Therefore, biology students need to learn computational modelling. However, there is a lack of evidence about how to teach computational modelling in biology and what the effects are on student learning. The purpose of this intervention-control study was to investigate how knowledge in…
Descriptors: Computation, Models, High School Students, Biology
Mohammed Jebbari; Bouchaib Cherradi; Soufiane Hamida; Abdelhadi Raihani – Education and Information Technologies, 2024
With the advancements in technology and the growing demand for online education, Virtual Learning Environments (VLEs) have experienced rapid development in recent years. This demand was especially evident during the COVID-19 pandemic. The incorporation of new technologies in VLEs provides new opportunities to better understand the behaviors of…
Descriptors: MOOCs, Algorithms, Computer Simulation, COVID-19
Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
Marion, Rodger; Niebuhr, Bruce R. – Collegiate Microcomputer, 1986
Discusses an algorithm for developing problem solving simulations using microcomputers, and describes both the components of the simulation algorithm and the user interface. Examples of simulation and programming methods are presented. (MBR)
Descriptors: Algorithms, Computer Simulation, Computer Software, Design
A Machine Learning Approach to Student Modeling. Technical Report No. 1. Annual Report, 11/82-11/83.
Langley, Pat; And Others – 1984
The notion of buggy procedures has played an important role in recent cognitive models of mathematical skills. Some earlier work on student modeling used artificial intelligence methods to automatically construct buggy models of student behavior. An alternate approach, proposed here, draws on insights from the rapidly developing field of machine…
Descriptors: Algorithms, Artificial Intelligence, Cognitive Processes, Computer Simulation

Timpone, Richard J.; Taber, Charles S. – Social Science Computer Review, 1998
Compares traditional mathematical models with computer simulations. Shows the strengths and flexibility of algorithmic computational simulations through a program designed to investigate and extend understanding in one of the most enduring questions in social choice research. Discusses solutions to this problem from each approach--analytic and…
Descriptors: Algorithms, Computation, Computer Oriented Programs, Computer Simulation

Mergen, A. Erhan; Pray, Thomas F. – Simulation & Gaming, 1992
Reviews the development and the principal elements of total quality management (TQM) and demonstrates methods for introducing some of the key elements into a strategy-oriented business simulation game that can be used to teach future managers. Topics discussed include increased focus on the customer; continuous improvement; and competitive…
Descriptors: Administrator Education, Algorithms, Computer Games, Computer Simulation

Towne, Douglas M.; And Others – Interactive Learning Environments, 1990
Explains the Intelligent Maintenance Training System that allows a nonprogramming subject matter expert to produce an interactive graphical model of a complex device for computer simulation. Previous simulation-based training systems are reviewed; simulation algorithms are described; and the student interface is discussed. (Contains 24…
Descriptors: Algorithms, Artificial Intelligence, Authoring Aids (Programming), Computer Assisted Instruction

Gruska, Jozef – Education and Computing, 1993
Describes shortcomings of computer science/engineering education and explains a new focus on informatics. Highlights include simulation, visualization, algorithmization, design of information processing models, parallel computing, a history of informatics, informatics versus physics and mathematics, and implications for education. (51 references)…
Descriptors: Algorithms, Computer Science Education, Computer Simulation, Higher Education
Gavanasen, Varut; Hussain, S. Tariq – Environmental Protection, 1993
Reviews the different types of models that can be used in groundwater modeling. Discusses the flow and contaminant transport models in the saturated zone, flow and contaminant transport in variably saturated flow regime, vapor transport, biotransformation models, multiphase models, optimization algorithms, and potentials pitfalls of using these…
Descriptors: Algorithms, Computer Simulation, Elementary Secondary Education, Environmental Education

Pray, Thomas F.; Gold, Steven – Simulation & Gaming, 1991
Reviews 10 computerized business simulations used to teach business policy courses, discusses problems with measuring performance, and presents a statistically based approach to assessing performance that permits individual team goal setting as part of the computer model, and allows simulated firms to start with different financial and operating…
Descriptors: Algorithms, Business Administration Education, Comparative Analysis, Computer Simulation
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