Journal of Experimental Education vol:83 issue:2 pages:175-202
In educational learning environments, monitoring persons’ progress over time may help teachers to continually evaluate the effectiveness of their teaching or training procedures and make more informed instructional decisions. Electronic learning environments are increasingly being utilized as part of formal education and tracking and logging data sets can be used to understand how and whether students progress over time or to improve the learning environment. This study presents longitudinal models based on the item response theory (IRT) framework for measuring growth in persons’ ability within and between study sessions in tracking and logging data from web based learning environments. Two empirical examples are used to illustrate the presented models. Results show that by incorporating time spent within and between study sessions into an IRT model, one is able to track changes in ability of a population of persons or for groups of persons at any time of the learning process.
Keywords: Item Response Theory, Electronic Learning, Modelling of Growth