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Download full textAgarwal, Deepak; Baker, Ryan S.; Muraleedharan, Anupama – International Educational Data Mining Society, 2020
There has been considerable interest in techniques for modelling student learning across practice problems to drive real-time adaptive learning, with particular focus on variants of the classic Bayesian Knowledge Tracing (BKT) model proposed by Corbett & Anderson, 1995. Over time researches have proposed many variants of BKT with…
Descriptors: Intelligent Tutoring Systems, Models, Skill Development, Mastery Learning
Direct linkAli, Sara; Mehmood, Faisal; Ayaz, Yasar; Sajid, Muhammad; Sadia, Haleema; Nawaz, Raheel – Journal of Educational Computing Research, 2022
Several robot-mediated therapies have been implemented for diagnosis and improvement of communication skills in children with Autism Spectrum Disorder. The proposed research uses an existing model i.e., Multi-robot-mediated Intervention System (MRIS) in combination with Hidden Markov Model (HMM) to develop an infrastructure for categorizing the…
Descriptors: Robotics, Therapy, Communication Skills, Autism
Wang, Shiyu; Zhang, Susu; Douglas, Jeff; Culpepper, Steven – Measurement: Interdisciplinary Research and Perspectives, 2018
Analyzing students' growth remains an important topic in educational research. Most recently, Diagnostic Classification Models (DCMs) have been used to track skill acquisition in a longitudinal fashion, with the purpose to provide an estimate of students' learning trajectories in terms of the change of fine-grained skills overtime. Response time…
Descriptors: Reaction Time, Markov Processes, Computer Assisted Instruction, Spatial Ability
Wang, Shiyu; Yang, Yan; Culpepper, Steven Andrew; Douglas, Jeffrey A. – Journal of Educational and Behavioral Statistics, 2018
A family of learning models that integrates a cognitive diagnostic model and a higher-order, hidden Markov model in one framework is proposed. This new framework includes covariates to model skill transition in the learning environment. A Bayesian formulation is adopted to estimate parameters from a learning model. The developed methods are…
Descriptors: Skill Development, Cognitive Measurement, Cognitive Processes, Markov Processes
Falakmasir, Mohammad; Yudelson, Michael; Ritter, Steve; Koedinger, Ken – International Educational Data Mining Society, 2015
Bayesian Knowledge Tracing (BKT) has been in wide use for modeling student skill acquisition in Intelligent Tutoring Systems (ITS). BKT tracks and updates student's latent mastery of a skill as a probability distribution of a binary variable. BKT does so by accounting for observed student successes in applying the skill correctly, where success is…
Descriptors: Bayesian Statistics, Models, Skill Development, Intelligent Tutoring Systems
Budgett, Stephanie; Pfannkuch, Maxine – Teaching and Learning Research Initiative, 2016
This report summarises the research activities and findings from the TLRI-funded project entitled "Visualising Chance: Learning Probability Through Modelling." This exploratory study was a 2-year collaboration among two researchers, two conceptual software developers/interactive graphics experts, three university lecturers/practitioners,…
Descriptors: Statistics, Probability, Mathematical Models, Computer Software
Sundararajan, NarayanKripa; Adesope, Olusola; Cavagnetto, Andy – Journal of STEM Education: Innovations and Research, 2017
To develop and nurture critical thinking, students must have opportunities to observe and practice critical thinking in the classroom. In this parallel mixed method classroom study, we investigate the role of collaborative concept mapping in the development of kindergarten learners' critical thinking skills of analysis and interpretation over a…
Descriptors: Kindergarten, Concept Mapping, Thinking Skills, Critical Thinking
Tenison, Caitlin; Anderson, John R. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
A focus of early mathematics education is to build fluency through practice. Several models of skill acquisition have sought to explain the increase in fluency because of practice by modeling both the learning mechanisms driving this speedup and the changes in cognitive processes involved in executing the skill (such as transitioning from…
Descriptors: Skill Development, Mathematics Skills, Learning Processes, Markov Processes
Hartz, Sarah; Roussos, Louis – ETS Research Report Series, 2008
This paper presents the development of the fusion model skills diagnosis system (fusion model system), which can help integrate standardized testing into the learning process with both skills-level examinee parameters for modeling examinee skill mastery and skills-level item parameters, giving information about the diagnostic power of the test.…
Descriptors: Skill Development, Educational Diagnosis, Theory Practice Relationship, Standardized Tests
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
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Stevens, Ron; Johnson, David F.; Soller, Amy – Cell Biology Education, 2005
The IMMEX (Interactive Multi-Media Exercises) Web-based problem set platform enables the online delivery of complex, multimedia simulations, the rapid collection of student performance data, and has already been used in several genetic simulations. The next step is the use of these data to understand and improve student learning in a formative…
Descriptors: Majors (Students), Undergraduate Students, Problem Solving, Genetics
