Virtual reality (VR) provides a unique platform for interactive learning experiences, enhancing learning, particularly in hands-on courses. However, the visual load of VR and the lack of guidance and interaction from physical teachers or peers can pose challenges for learners in self-regulated learning (SRL) and learning motivation. This study…

The present study employed virtual reality technology to develop online learning environments that facilitated student cultural and self-directed learning. Junior high school participants engaged in creating virtual tours, sharing them with peers online, and implementing self-directed learning strategies. A one-group posttest-only design was…

For many years the need to educate and support our teachers to implement science and mathematics education has been ongoing throughout the world (National Academies of Sciences, Engineering, and Medicine, 2019; Mundry et al., 2009). In more recent years, this call has extended to include teaching through integrated science, technology,…

For many years the need to educate and support our teachers to implement science and mathematics education has been ongoing throughout the world (National Academies of Sciences, Engineering, and Medicine, 2019; Mundry et al., 2009). In more recent years, this call has extended to include teaching through integrated science, technology,…

The distribution of a certain item response theory (IRT) based person fit index to identify systematic types of aberrance is discussed. For the Rasch model, it is proved that: (1) the joint distribution of subtest-residuals (the components of the index) is asymptotically multivariate normal; and (2) the distribution of the index is asymptotically…

The effects of correlated dimensions on parameter estimation were assessed, using a two-dimensional item response theory model. Past research has shown the inadequacies of the unidimensional analysis of multidimensional item response data. However, few studies have reported multidimensional analysis of multidimensional data, and, in those using…

A model for constrained computerized adaptive testing is proposed in which the information in the test at the ability estimate is maximized subject to a large variety of possible constraints on the contents of the test. At each item-selection step, a full test is first assembled to have maximum information at the current ability estimate fixing…