This research aims to examine the relationship between science motivation and social emotional learning. The relational analysis method was used in the research within the scope of quantitative research. The research scopes the relationship between high school students' science motivation and social emotional learning. According to the results, a…

The purpose of this study was to understand the relationship between student self-efficacy, student motivation, student-teacher relationship, and teachers' perceptions of student motivation in the science classroom. Using a relational correlational design, the researcher utilized teacher and student surveys to measure student motivation in a…

Student self-efficacy, their confidence to successfully perform a task, is positively related to course performance. Students with high self-efficacy for a task are more motivated toward that task. Yet few studies have measured students' self-efficacy and motivation levels after exams are returned in introductory biology classes or studied how…

A student's socioeconomic status (SES) has a significant relation to their academic achievement. Much of this work has explored this in math and reading, but less is known about how SES relates to science achievement, particularly in the early grades. Using quantile regression with nationally representative data, we explored this relation in…

The use of metacognitive and self-regulated strategies is a potential predictor of problem-solving skills and self-efficacy. However, this potential needs to be seen at the level of knowledge and experience of various attributes and forms of activity. This research aims to see the interaction effect of using metacognitive and self-regulated…

A number of studies have demonstrated a connection between metacognition and the ability to solve problems. Therefore, this study aimed to examine the effect of metacognitive skills on Physics problem-solving skills among Form Four secondary school students in Sabah, Malaysia. This study included 248 students from 13 secondary schools in the Kota…

Student dropout represents a significant challenge in distance higher education. To better understand this issue, a comprehensive analysis of institutional data, spanning several years from a private German distance learning university of applied sciences, was conducted. The primary objectives were twofold: (1) to pinpoint institutional factors…

This study examined 57 learners' emotions (i.e., joy, anger, confusion, frustration) as they engaged with scientific content while learning about microbiology with Crystal Island, a game-based learning environment (GBLE). Measures of learners' prior knowledge, in-game text comprehension, facial expressions of emotion, and posttest reading…

The main purpose of this study was to explore major factors at student and teacher/school levels affecting middle-school students' science self-efficacy among countries with high science academic performance levels in PISA 2015 data by using various regression algorithms of machine learning and multilevel latent profile analysis (MLPA). Out of…

Accuracy on assessments is commonly studied in education research but response time (RT) is relatively less investigated even though decades of research in cognitive sciences indicate that time can be an important dimension for understanding student learning. To better understand RT and the potentially important relations between accuracy and RT…

Chemistry academic engagement has received considerable attention for its role in enhancing students' learning and overall development. As a significant factor influencing students' chemistry improvement, research on chemistry academic engagement has emerged as a focal point. However, the methods to improve students' chemistry academic engagement…

Integrating situated expectancy-value and family systems theories, the current study tested the extent to which Latinx adolescents' 9th-grade school-related science conversations with parents and older siblings/cousins positively predicted their 10th-grade science ability self-concepts and task values. We also tested whether these links were…

Enhancing interest in physics learning has been an important component of education policy and policy implementation for decades. However, in many countries, student interest in physics has not increased. The aim of this study was to predict situational interest using individual interest and the instructional activities students engaged in. Also,…

The purpose of this research is to better understand how perceived usefulness (PU) and perceived ease of use (PEU) predict how frequently science teachers use digital learning tools in the physical classroom. The research was based on the widely used Technology Acceptance Model (TAM), originally developed by Davis (1989). The research is…

Background: Fear of negative evaluation, defined as a sense of dread associated with being unfavorably evaluated in a social situation, is the primary factor underlying student anxiety in college science courses and is disproportionately experienced by students who are underserved in science. Yet, it is unknown why fear of negative evaluation…