Psychological test and assessment modeling, 2017
Advances in technology result in evolving educational assessment design and implementation. The n... more Advances in technology result in evolving educational assessment design and implementation. The new generation assessments include innovative technology-enhanced items, such as simulations and game-like tasks that mimic an authentic learning experience. Two questions that arise along with the implementation of the technology-enhanced items are: (1) what data and their associated features may serve as meaningful measurement evidence, and (2) how to statistically and psychometrically characterize new data and reliably identify their features of interest. This paper focuses on one of the new data types, process data, which reflects students' procedure of solving a problem. A new model, a Markov-IRT model, is proposed to characterize and capture the unique features of each individual's response process during a problem-solving activity in scenario-based tasks. The structure of the model, its assumptions, the parameter space, and the estimation of the parameters are discussed in this paper. Furthermore, we illustrate the application of the Markov-IRT model, and discuss its usefulness in characterizing students' response processes using an empirical example based on a scenario-based task from the NAEP-TEL assessment. Lastly, we illustrate the identification and extraction of features of the students' response processes to be used as evidence for psychometric measurement.
Uploads
Papers by Jiangang Hao