Purpose – The purpose of this paper is to investigate an efficient means of estimating the ability of students solving problems in the computer- based learning environment.
Design/methodology/approach – Item response theory (IRT) and TrueSkill were …
Purpose – The purpose of this paper is to develop a quantitative model of problem solving performance of students in the computer-based mathematics learning environment.
Design/methodology/approach – Regularized logistic regression was used to …
This study investigates whether Support Vector Machine (SVM) can be used to predict the problem solving performance of students in the computer-based learning environment. The SVM models using RBF, linear, polynomial and sigmoid kernels were …
This study investigates whether information saved in the log files of a computer-based tutor can be used to predict the problem solving performance of students. The log files of a computer-based physics tutoring environment called Andes Physics Tutor …
The aims of this study are: (1) to develop iPad-based computer simulations called iSimPhysics that can help people learn newtonian physics concepts; and (2) to assess its educational benefits and pedagogical usefulness. To facilitate learning, …
This study reports the effects of different types of instructional preparation strategies on the problem solving performance of college students taking an introductory physics class. Students were divided into four equally skilled groups and solved …
We investigate short-term learning from hints and feedback in a Web-based physics tutoring system. Both the skill of students and the difficulty and discrimination of items were determined by applying item response theory (IRT) to the first answers …