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Tylén, Kristian; Fusaroli, Riccardo; Østergaard, Sara Møller; Smith, Pernille; Arnoldi, Jakob – Cognitive Science, 2023
Capacities for abstract thinking and problem-solving are central to human cognition. Processes of abstraction allow the transfer of experiences and knowledge between contexts helping us make informed decisions in new or changing contexts. While we are often inclined to relate such reasoning capacities to individual minds and brains, they may in…
Descriptors: Abstract Reasoning, Thinking Skills, Problem Solving, Transfer of Training
Lundgren, Erik – Journal of Educational Data Mining, 2022
Response process data have the potential to provide a rich description of test-takers' thinking processes. However, retrieving insights from these data presents a challenge for educational assessments and educational data mining as they are complex and not well annotated. The present study addresses this challenge by developing a computational…
Descriptors: Problem Solving, Classification, Accuracy, Foreign Countries
Zhou, Yiqiu; Kang, Jina – International Educational Data Mining Society, 2022
The complex and dynamic nature of collaboration makes it challenging to find indicators of productive learning and quality collaboration. This exploratory study developed a collaboration metric to capture temporal patterns of joint attention (JA) based on log files generated as students interacted with an immersive astronomy simulation using…
Descriptors: Astronomy, Problem Solving, Science Instruction, Cooperative Learning
Hao, Jiangang; Chen, Lei; Flor, Michael; Liu, Lei; von Davier, Alina A. – ETS Research Report Series, 2017
Conversations in collaborative problem-solving activities can be used to probe the collaboration skills of the team members. Annotating the conversations into different collaboration skills by human raters is laborious and time consuming. In this report, we report our work on developing an automated annotation system, CPS-rater, for conversational…
Descriptors: Problem Solving, Cooperative Learning, Teamwork, Documentation
Ziaeehezarjeribi, Yadi – ProQuest LLC, 2010
This study, based on experiential play methodology was used to explore student engagement while playing "Medal of Honor (2002)" and "Call of Duty (2003)". It identifies some of the key issues related to the use of video games and simulations during the training phase of game play. Research into the effects of gaming in education has been extremely…
Descriptors: Learner Engagement, Play, Video Games, Learning Strategies
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Badurdeen, Fazleena; Marksberry, Philip; Hall, Arlie; Gregory, Bob – Simulation & Gaming, 2010
Problem-based learning focuses on small groups using authentic problems as a means to help participants obtain knowledge and problem-solving skills. This approach makes problem-based learning ideal for teaching lean manufacturing, which is driven by a culture of problem solving that values learning as one key output of manufacturing production.…
Descriptors: Manufacturing Industry, Problem Based Learning, Problem Solving, Literature Reviews
Yang, Xiangdong – Educational and Psychological Measurement, 2007
This article investigates several methods of identifying individual guessers from their response data. Both the posterior probability method and the likelihood ratio method are based on the two-state mixture modeling approach to response times. The accuracy method is based on response accuracy data. Results from the simulation study showed that…
Descriptors: Probability, Simulation, Test Items, Models
Cecchini, Arnaldo; Frisenna, Adriana – Simulation/Games for Learning, 1987
Reviews the problems of classifying gaming techniques and suggests a heuristic approach as one solution. Definitions of simulation, models, role, and game and play are discussed to help develop a classification based on a technique called gaming simulation. (Author/LRW)
Descriptors: Classification, Definitions, Game Theory, Heuristics
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use

Kearsley, Greg – Machine-Mediated Learning, 1985
Describes three principal types of embedded training: help systems, simulations, and intelligent tutors. Implications of designing and implementing embedded training are discussed in terms of a set of propositions about the use of computers for learning. (Author/MBR)
Descriptors: Artificial Intelligence, Classification, Computer Assisted Instruction, Computer Simulation
Biswas, Gautam; And Others – 1994
This report characterizes human problem solving in digital circuit design. Protocols of 11 different designers with varying degrees of training were analyzed by identifying the designers' problem solving strategies and discussing activity patterns that differentiate the designers. These methods are proposed as a tentative basis for assessing…
Descriptors: Classification, Cognitive Processes, Computer Simulation, Computer Software Development
Jenks, Charles L.; And Others – 1971
Increasingly, schools are being asked to be explicit about what they intend to accomplish, how they are going to accomplish their intents, and how well they have succeeded. This training unit seeks to assist school personnel in one of the essential phases of these three tasks, that of translating long-range educational goals into usable objectives…
Descriptors: Classification, Curriculum Development, Curriculum Evaluation, Educational Objectives
Finch, F. L.; Dost, Marcia A. – 1992
Many state and local entities are developing and using performance assessment programs. Because these initiatives are so diverse, it is very difficult to understand what they are doing, or to compare them in any meaningful way. Multiple-choice tests are contrasted with performance assessments, and preliminary classifications are suggested to…
Descriptors: Alternative Assessment, Classification, Comparative Analysis, Constructed Response
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
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