Undergraduate science, technology, engineering, and mathematics (STEM) students' motivations have a strong influence on whether and how they will persist through challenging coursework and into STEM careers. Proper conceptualization and measurement of motivation constructs, such as students' expectancies and perceptions of value and cost (i.e.,…

Given the recent attention to language-domain-specific grit in the field of SLA and the scarcity of research on the antecedents of L2 grit, we proposed a model that links L2 learners' basic psychological needs (BPN) (i.e. autonomy, competence, and relatedness), L2 grit (i.e. perseverance of effort (PE) and consistency of interest (CI)), and L2…

One of the aims of the current study is to specify the model providing the best fit to the data among the exploratory, the bifactor exploratory and the confirmatory structural equation models. The study compares the three models based on the model data fit statistics and item parameter estimations (factor loadings, cross-loadings, factor…

Affective factors such as the achievement emotions are considered critical for students' academic performance in STEM degree programmes and careers. In this study, a reciprocal causation model was tested between two affective factors: enjoyment and anxiety, and organic chemistry course performance. Each variable was measured three times in four…

The aim of this research is to examine the structural relationships between metacognitive thinking skills, critical thinking standards and academic self-efficacy of teacher candidates. The research was carried out according to the relational survey method and structural equation modelling was done in the analysis of the data. The data of the study…

In this study, the effect of mathematics teacher candidates' locus of control on math anxiety was tested, along with the effects of gender, achievement and class level moderators. The study was carried out according to a causal design in which locus of control was taken as an independent variable, while math anxiety was taken as the dependent…

According to aptitude theory, the measures of aptitude include not only cognitive factors but also affective factors (i.e., emotions) and conative factors (i.e., motivation) that can influence students' learning achievement (LA). Therefore, this study employed structural equation modelling from experimental data of 96 college students to…

Student retention models were tested via structural equation modeling to examine the interrelations and predictability among socioeconomic status, psychosocial, and student success variables with a sample of 445 undergraduate students attending a large Hispanic serving institution. The proposed theoretical model included socioeconomic status…

There has been a remarkable growth in distance learning courses in higher education. Despite indications that distance learning courses are more vulnerable to cheating behavior than traditional courses, there has been little research studying whether online exams facilitate a relatively greater level of cheating. This article examines this issue…

Explorations of relationships between Haidt's Moral Foundations Questionnaire (MFQ) and indices of moral decision-making assessed by the Defining Issues Test have been limited to correlational analyses. This study used Harm, Fairness, Ingroup, Authority and Purity to predict overall moral judgment and individual Defining Issues Test-2 (DIT-2)…

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…

The purpose of this study was to investigate the impacts of visual cues and different types of self-explanation prompts on learning, cognitive load, and intrinsic motivation in an interactive multimedia environment that was designed to deliver a computer-based lesson about the human cardiovascular system. A total of 126 college students were…

Computers have taken an important place in the training of science students and in the professional life of scientists. It is often taken for granted that most students have mastered basic Information and Communication Technologies (ICT) skills; however, it has been shown that not all students are equally proficient in this regard. Starting from…

The aim of this study was to analyse and compare the learning patterns of higher education students from Spain and three Latin-American countries (Colombia, Mexico and Venezuela). For this purpose Vermunt's Inventory of Learning Styles (ILS) was translated into Spanish and tested. The participants were 456 undergraduates enrolled in a teacher…

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…