Virtual reality (VR) has a high potential to facilitate education. However, the design of many VR learning applications was criticized for lacking the guidance of explicit and appropriate learning theories. To advance the use of VR in effective instruction, this study proposed a model that extended the cognitive-affective theory of learning with…

Our short-term longitudinal study explored undergraduate students' experiences with performing authentic science practices in the classroom in relation to their science achievement and course grades. In addition, classroom experiences (felt recognition as a scientist and perceived classroom climate) and changes over a 10-week academic term in STEM…

This study aims to determine the predictive and explanatory model in terms of university students' academic performance in "General Chemistry" course and their motivational features. The participants were 169 university students in the 1st grade at university. Of the participants, 132 were female and 37 were male students. Regarding…

Self-efficacy is an affective learning outcome that has been associated with academic performance and retention in STEM. Self-efficacy has been defined as students' beliefs about their ability to complete a given task, and it can be affected by a student's positive or negative experience in a course. In this study, students' chemistry…

This study investigated how affective factors like attitude and motivation contribute to science achievement in PISA 2006 using linear structural modeling. The data set of PISA 2006 collected from 4942 fifteen-year-old Turkish students (2290 females, 2652 males) was used for the statistical analyses. A total of 42 selected items on a four point…

Teachers make a difference for the outcome of their students in science classrooms. One focus in this context lies on teachers' professional knowledge. We describe this knowledge according to three domains, namely (1) content knowledge (CK), (2) pedagogical content knowledge (PCK), and (3) curricular knowledge (CuK). We hypothesise a positive…

Research in chemistry education has highlighted a number of variables that predict learning and performance, such as teacher-student interactions, academic motivation and metacognition. Most of this chemistry research has examined these variables by identifying dyadic relationships through bivariate correlations. The main purpose of this study was…

A model of expertise in physics problem solving was tested on undergraduate science, physics, and engineering majors enrolled in an introductory-level physics course. Structural equation modeling was used to test hypothesized relationships among variables linked to expertise in physics problem solving including motivation, metacognitive planning,…

We examined a model of the impact of a 3D desktop virtual reality environment on the learner characteristics (i.e. perceptual and psychological variables) that can enhance chemistry-related learning achievements in an introductory college chemistry class. The relationships between the 3D virtual reality features and the chemistry learning test as…

In this article we examine gender differences in factors related to science, technology, engineering, mathematics, and medicine (STEMM) education and employment between the ages of 36 and 39. Using data from the Longitudinal Study of American Youth, we identified a STEMM high school talent pool. We found early gender differences in interest in…

Reading comprehension is strongly associated with academic achievement, including science achievement. A better understanding of reading comprehension processes in science text might hold promise for improving science achievement in the long run. We tested the fit of the direct and inferential mediation (DIME) model of reading comprehension…

Researchers and educators continue to explore how to assist students in the acquisition of conceptual understanding of complex science topics. While hypermedia learning environments (HLEs) afford unique opportunities to display multiple representations of these often abstract topics, students who do not engage in self-regulated learning (SRL) with…

The purpose of this study was to determine the best-fitting structural equation model between the freshmen's physics achievement and selected affective characteristics related to physics. These characteristics are students' situational interest in physics, personal interest in physics, aspiring extra activities related to physics, importance of…

A theoretical model of nonscience majors' motivation to learn science was tested by surveying 369 students in a large-enrollment college science course that satisfies a core curriculum requirement. Based on a social-cognitive framework, motivation to learn science was conceptualized as having both cognitive and affective influences that foster…