Unmotivated students do not reap the full rewards of using a computer-based intelligent tutoring system. Detection of improper behavior is thus an important component of an online student model. To meet this challenge, we present a dynamic mixture model based on Item Response Theory. This model, which simultaneously estimates a student’s proficiency and changing motivation level, was tested wit...

This article reviews recent developments in the assessment of creativity using self-report scales. We focus on four new and promising scales: the Creative Achievement Questionnaire, the Biographical Inventory of Creative Behaviors, the revised Creative Behavior Inventory, and the Creative Domain Questionnaire. For each scale, we review evidence for reliability, validity, and structure, and we d...

With fast development in e-learning, assessment plays an important role between teaching and learning. A good e-learning system is not only with good teaching strategy and better learning resources but also proper assessment model. In this paper, we proposed an assessment meta-data and assessment analysis feedback for recently e-learning environments. There are several proper feedback for teach...

A structural measurement model (Adams, Wilson, & Wu, 1997) consists of an item response theory model for responses conditional on ability and a structural model that describes the distribution of ability in the population. As a rule, ability is assumed to be normally distributed in the population. However, there are situations where there is reason to assume that the distribution of ability is ...

Weekly cycles in emotion were examined by combining item response modeling and spectral analysis approaches in an analysis of 179 college students’ reports of daily emotions experienced over 7 weeks. We addressed the measurement of emotion using an item response model. Spectral analysis and multilevel sinusoidal models were used to identify interindividual differences in intraindividual cyclic ...

Item response theory (IRT) models are factor for dichotomous or polytomous variables (i.e., item responses). The symmetric logistic probit link functions most frequently utilized modeling items. In this article, we propose an IRT model and items using the asymmetric generalistic function that covers a lot of functions. Compared to based on function, generalized additionally estimates two parame...