This study investigates the predictive influences of expectancies and values that may sustain students' dropout intentions in physics as well as gender differences in students' motivation and intention. Eccles's expectancy-value model was used to frame the study. The academic self-concept (expectancy component) and value components focusing on…

We investigate a model based on Self-Determination Theory (SDT) to predict academic achievement and dropout intentions among biology students in higher education in Norway. Students (n = 754) from a representative national sample participated in this cross-sectional study. The results align with our hypotheses and SDT assumptions. The model…

To improve the quality of education, the Kuwaiti Ministry of Education has encouraged schools to implement inquiry-based instruction. This study identifies psychosocial factors that predict teachers' intention to use inquiry-based instruction in their science classrooms. An adapted model of Ajzen's (1985) theory of planned behaviour--the Science…

This study examined predictors of pre-service science teachers' behavioral intention toward e-resources use for teaching in Nigeria. The study used cross-sectional survey research method and a questionnaire with a set of items that measure technology preparedness, perceived usefulness, perceived ease of use and behavioral intention to gather the…

Background: In developed countries, it is challenging for teachers to select pedagogical practices that encourage students to enrol in science and technology courses in upper secondary school. Purpose: Aiming to understand the enrolment dynamics, this study analyses sample-based data from Finland's National Assessment in Science to determine…

This study was conducted in response to the growing concern about the lack of U.S. students majoring in STEM fields and pursuing STEM careers (NSF, 2013). In order for the U.S. to compete in a global economy that is increasingly technologically-based, a skilled STEM workforce is a necessity (National Academies, 2010). Understanding the factors…

Open learning (OL) strives to transform teaching and learning by applying learning science and emerging technologies to increase student success, improve learning productivity, and lower barriers to access. OL of robotics has a significant growth rate in secondary and/or high schools, but failures exist. Little is known about why many users stop…

Understanding students' intentions to study science at upper-secondary school, at university, and to follow science careers continues as a central concern for international science education. Prior research has highlighted that students' science confidence has been associated with their intentions to study science further, although…

This study investigates users' perception and acceptance of mixed reality (MR) technology. Acceptance of new information technologies has been important research area since 1990s. It is important to understand the reasons why people accept information technologies, as this can help to improve design, evaluation and prediction how users will…