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Download full textHolm, Jennifer, Ed.; Mathieu-Soucy, Sarah, Ed. – Canadian Mathematics Education Study Group, 2019
In June 2018 the Canadian Mathematics Education Study Group/Groupe Canadien d'étude en didactique des mathématiques (CMESG/GCEDM) held its 42nd meeting in the idyllic setting of Squamish, British Columbia. This meeting marked the first time CMESG/GCEDM had been in British Columbia since 2010 and the first time it had been held at Quest University.…
Descriptors: Mathematics Education, Mathematics Teachers, Teaching Methods, Interdisciplinary Approach
Peer reviewedFalmagne, Jean-Claude – Psychometrika, 1989
A stochastic version of a knowledge space is developed in which knowledge states are considered as possible epochs in a subject's learning history. It specifies how a subject is channeled through and progresses along a "gradation." The model's application to artificial data is described, based on maximum likelihood methods. (TJH)
Descriptors: Equations (Mathematics), Knowledge Level, Latent Trait Theory, Learning Processes
Tatsuoka, Kikumi K. – 1991
Diagnosing cognitive errors possessed by examinees can be considered as a pattern classification problem that is designed to classify a sequential input of stimuli into one of several predetermined groups. The sequential inputs in this paper's context are item responses, and the predetermined groups are various states of knowledge resulting from…
Descriptors: Algorithms, Classification, Cognitive Processes, Equations (Mathematics)
Peer reviewedAlbers, Wim; And Others – Psychometrika, 1989
A model is presented for the growth of knowledge reflected by 24 progress tests completed by approximately 600 students at the University of Limburg (Netherlands) Medical School. Based on the Rasch model, this model treats both the person's ability and the difficulty of the question as random variables. (SLD)
Descriptors: Ability, Academic Achievement, Difficulty Level, Equations (Mathematics)
Peer reviewedBasarab, David J., Sr. – Evaluation Practice, 1990
A methodology for calculating the return on training investment is described. The method covers attitudes, knowledge, and behavior of participants as well as effectiveness in organizational improvement. Output, time savings, quality improvements, and "soft data" on effectiveness are set against costs. (TJH)
Descriptors: Behavior Change, Computation, Cost Effectiveness, Employee Attitudes
Garcia-Perez, Miguel A.; Frary, Robert B. – 1991
A new approach to the development of the item characteristic curve (ICC), which expresses the functional relationship between the level of performance on a given task and an independent variable that is relevant to the task, is presented. The approach focuses on knowledge states, decision processes, and other circumstances underlying responses to…
Descriptors: Decision Making, Equations (Mathematics), Graphs, Guessing (Tests)
Novotna, Jarmila, Ed.; Moraova, Hana, Ed.; Kratka, Magdalena, Ed.; Stehlikova, Nad'a, Ed. – International Group for the Psychology of Mathematics Education, 2006
This volume of the 30th annual proceedings of the International Group for the Psychology of Mathematics Education conference presents: plenary panel papers; research forum papers; short oral communication papers; and poster presentation papers from the meeting. Information relating to discussion groups and working sessions is also provided.…
Descriptors: Program Effectiveness, Foreign Countries, Secondary School Students, Mathematics Instruction
