An explanatory item response theory method for alleviating the cold-start problem in adaptive learning environments
- 3 December 2018
- journal article
- research article
- Published by Springer Nature in Behavior Research Methods
- Vol. 51 (2) , 895-909
Abstract
Electronic learning systems have received increasing attention because they are easily accessible to many students and are capable of personalizing the learning environment in response to students’...Keywords
This publication has 23 references indexed in Scilit:
- Distinguishing Fast and Slow Processes in Accuracy - Response Time DataPLOS ONE, 2016
- Modeling Growth in Electronic Learning Environments Using a Longitudinal Random Item Response ModelThe Journal of Experimental Education, 2014
- A generalized longitudinal mixture IRT model for measuring differential growth in learning environmentsBehavior Research Methods, 2013
- Computer adaptive practice of Maths ability using a new item response model for on the fly ability and difficulty estimationComputers & Education, 2011
- Generalization of recommender systems: Collaborative filtering extended to groups of users and restricted to groups of itemsExpert Systems with Applications, 2011
- RIM: A Random Item Mixture Model to Detect Differential Item FunctioningJournal of Educational Measurement, 2010
- Rapid dynamic assessment of expertise to improve the efficiency of adaptive e-learningEducational Technology Research and Development, 2005
- Explanatory Item Response Models2004
- Research Section: Personal Constructs and Attribution for Academic Success and Failure in DyslexiaBritish Journal of Special Education, 2002
- Avoiding Model Selection in Bayesian Social ResearchSociological Methodology, 1995