In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…

In the resolution of problems in chemical kinetics and catalysis the mathematical models relate the independent variable that is usually time, with the dependent variable which is normally the concentration of a reactant. They conform to linear models, whose parameters such as the ordering to origin and the slope are kinetic parameters, applying…

Structural equation modeling (SEM) has become widespread in educational and psychological research. Its flexibility in addressing complex theoretical models and the proper treatment of measurement error has made it the model of choice for many researchers in the social sciences. Nevertheless, the model imposes some daunting assumptions and…

A study was performed to test the impact of factors suggested by social capital and social cognitive theories as important antecedents to team performance on information technology (IT) course projects. Specifically, the impact of personal outcome expectations and social interaction ties on the quality and quantity of knowledge sharing is…

This paper describes a classroom-tested instructional resource, grounded in principles of active learning and a constructivism, that embraces two primary objectives: "demystify" for accounting students technical material from statistics regarding ordinary least-squares (OLS) regression analysis--material that students may find obscure or…

This study investigates the influence of the use of accounting software in teaching activity-based costing (ABC) on the learning process. It draws upon the Theory of Planned Behaviour and uses the end-user computer satisfaction (EUCS) framework to examine students' satisfaction with the ABC software. The study examines students' satisfaction with…

Although videoconferencing software and equipment have been widely used in enterprises and education in recent year, few past studies experimentally examined the factors influencing users' continuous intention to attend one-to-some online courses via videoconferencing software in distance learning. In order to provide researchers with a better…

The accuracy of item parameter estimates in the multidimensional item response theory (MIRT) model context is one that has not been researched in great detail. This study examines the ability of two confirmatory factor analysis models specifically for dichotomous data to properly estimate item parameters using common formulae for converting factor…

For the past two decades, information and communication technologies (ICT) have transformed the ways professors teach and students learn. The purpose of this study is to investigate the points of view of onsite students (blended or hybrid mode) and of those taking the same courses on the Internet (online mode). A moderator-type theoretical…

Although methods for using ordinary least squares regression computer programs to calculate a ridge regression are available, the calculation of a stepwise ridge regression requires a special purpose algorithm and computer program. The correct stepwise ridge regression procedure is given, and a parallel FORTRAN computer program is described.…

The least mean squares (LS) regression method produced the best linear unbiased estimates under the normal error distribution. However, many researchers have noted that the optimal condition is rarely met in real data analyses. To remedy the impact of potential data contamination, several advantages of the least median squares (LMS) regression are…

This paper proposes a learning based method that can automatically determine how likely a student is to give a correct answer to a problem in an intelligent tutoring system. Only log files that record students' actions with the system are used to train the model, therefore the modeling process doesn't require expert knowledge for identifying…

R is free, open-source, cooperatively developed software that implements the S statistical programming language and computing environment. The current capabilities of R are extensive, and it is in wide use, especially among statisticians. The sem package provides basic structural equation modeling facilities in R, including the ability to fit…

This study examined the effect of type of correlation matrix on the robustness of LISREL maximum likelihood and unweighted least squares structural parameter estimates for models with categorical variables. The analysis of mixed matrices produced estimates that closely approximated the model parameters except where dichotomous variables were…

This study examined the effect of type of correlation matrix on the robustness of LISREL maximum likelihood and unweighted least squares structural parameter estimates for models with categorical manifest variables. Two types of correlation matrices were analyzed; one containing Pearson product-moment correlations and one containing tetrachoric,…