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Valdés Aguirre, Benjamín; Ramírez Uresti, Jorge A.; du Boulay, Benedict – International Journal of Artificial Intelligence in Education, 2016
Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…
Descriptors: Intelligent Tutoring Systems, Models, Open Source Technology, Computers
Kottonau, Johannes – Journal of Chemical Education, 2011
Effectively teaching the concepts of osmosis to college-level students is a major obstacle in biological education. Therefore, a novel computer model is presented that allows students to observe the random nature of particle motion simultaneously with the seemingly directed net flow of water across a semipermeable membrane during osmotic…
Descriptors: Models, Probability, Internet, Misconceptions
Hall, Steven T.; Post, Christopher J. – Journal of Natural Resources and Life Sciences Education, 2009
Knowledge of Geographic Information Systems is quickly becoming an integral part of the natural resource professionals' skill set. With the growing need of professionals with these skills, we created an advanced geographic information systems (GIS) exercise for students at Clemson University to introduce them to the concept of error analysis,…
Descriptors: Geographic Information Systems, Models, Feedback (Response), Assignments
Baker, Ryan S. J. D.; Goldstein, Adam B.; Heffernan, Neil T. – International Journal of Artificial Intelligence in Education, 2011
Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…
Descriptors: Intelligent Tutoring Systems, Mastery Learning, Probability, Knowledge Level
Mays, David C. – Journal of Geoscience Education, 2010
This article describes a one-week introduction to stochastic groundwater modeling, intended for the end of a first course on groundwater hydrology, or the beginning of a second course on stochastic hydrogeology or groundwater modeling. The motivation for this work is to strengthen groundwater education, which has been identified among the factors…
Descriptors: Natural Resources, Water, Probability, College Science
Brunelli, Lina, Ed.; Cicchitelli, Giuseppe, Ed. – 1994
This volume contains papers on computing and television as well as on the rapidly growing area of electronic communication among teachers and between teachers and students. Data analysis is now an important strand in school curricula in many nations. Many of the contributors discuss statistics in the schools from various perspectives. University…
Descriptors: Computer Software, Computer Uses in Education, Data Analysis, Developing Nations
Watson, Jane, Ed.; Beswick, Kim, Ed. – Mathematics Education Research Group of Australasia, 2007
This is a record of the proceedings of the 30th annual conference of the Mathematics Education Research Group of Australasia (MERGA). The theme of the conference is "Mathematics: Essential research, essential practice." The theme draws attention to the importance of developing and maintaining links between research and practice and…
Descriptors: Teacher Education, Secondary School Mathematics, Concept Mapping, Student Teachers