Introduction: Educators express a keen interest in academic engagement; however, there exists a paucity of research examining the intricate interplay among academic engagement, mindset, and academic hope. This study endeavors to address this gap by investigating university students and soliciting their responses through instruments gauging…

Loneliness has recently been defined as a public health problem, and college students from various cultures are considered a vulnerable group. As college students must cope with new personal, social, and academic challenges, their perceptions regarding their entitlement from their environment, and their gratefulness for the assistance they…

This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…

Algorithmic decision-making systems such as Learning Analytics (LA) are widely used in an educational setting ranging from kindergarten to university. Most research focuses on how LA is used and adopted by teachers. However, the perspective of students and parents who experience the (in)direct consequences of these systems is underexplored. This…

In order to successfully implement learning analytics (LA), we need a better understanding of student expectations of such services. Yet, there is still a limited body of research about students' expectations across countries. Student expectations of LA have been predominantly examined from a view that perceives students as a group of individuals…

Strong evidence indicates that student expectations of success in mathematics decline in middle school. The goal of the present study was to examine whether the expectations of teachers and the quality of the student-teacher relationship play a role in these declines. A total of 201 (86 boys, 115 girls) Latino/a students (M = 11.0 years) and their…

Students want to learn computer science due to its usefulness for future careers, however they often meet challenges in introductory courses. In the increasingly digital world, it is important to understand some important psychological consequences of such challenges: perceived costs of pursuing computer science. This study thus investigated…

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…

Background/purpose: Widespread adoption of e-learning was triggered worldwide during the COVID-19 pandemic and modern higher education institutions dedicated significant resources to the use of diverse e-learning systems. However, to maximize the benefits of these investments, it is crucial that the degree to which end-users accept and continue…

The growing popularity of interpreting technology in the industry has raised awareness of incorporating it into interpreter education. However, it is unclear what factors may contribute to students' behavioral use and the consequent effects of using it. With the addition of three external factors (motivation, task-technology fit, and technology…

Purpose: This study aims to identify the most significant factors that influence acceptance of e-learning in India. As e-learning has gained popularity in the wake of the COVID-19 pandemic and continues to be one of the most sustainable methods of education, it is pertinent to examine learners' perception towards its acceptance. There is limited…

To address the demand for engineers and computer scientists in the workforce, and the fact that some engineering students dropout or change majors, we explored how the motivational climate in an undergraduate computer science (CS) course was related to students' motivational beliefs and academic and career goals. Participants included 310 students…

This study aimed to examine multilevel models posited to predict student perceptions of teacher feedback quality. A cross-sectional survey design was used, involving 1072 middle school students. We incorporated two clusters of variables: (a) student characteristics (gender, prior knowledge, parent education, homework expectancy, homework value,…

The learning context, consisting of the school children's families, teachers, and peers, has effect on their mathematics learning. The concern of students' socioeconomic status (SES) affecting negatively their learning outcomes is increasing worldwide. This study investigates whether Finnish elementary school students' SES affects their…

Students' perceptions of the classroom environment are critical determinants of their motivation and academic success. However, the psychological mechanisms through which these contextual factors influence academic outcomes remain insufficiently explored, particularly in different subject domains. Grounded in the Situated Expectancy-Value Theory,…