One of the main challenges in science education is interpreting existing studies to improve scientific process skills. The main purpose of this study is to bring together the quantitative findings obtained on the relationship between scientific process skills and academic achievement in science education, to highlight the relevant gaps in 5838…

In this study, we applied elastic-net logistic regression to explore critical predictors of students' mathematics and science levels using data from eighth-grade students in the 2019 Trends in International Mathematics and Science Study (TIMSS). The elastic-net approach, a machine learning based approach combining Ridge and Least Absolute…

The purpose of this study is to examine the effect of missing data imputation methods, namely regression imputation (RI), multiple imputation (MI) and k-nearest neighbor (kNN) on differential item functioning (DIF). In this regard, the datasets used in the research were created by deleting some of the data via the missing completely at random…

Metacognition and curiosity play an important role in the educational process. Therefore, it is significant to examine their correlation with students' performance and satisfaction with classes. In order to examine whether the effect of metacognition and curiosity on physics performance and satisfaction with physics classes depends on gender, a…

Brazil's education system lags behind international standards, with two-fifths of students scoring below the minimum level of proficiency in mathematics, science, and reading. Thus, this study combined machine learning with traditional statistics to identify the most important predictors and to interpret their effects on proficiency in the PISA…

This study focused on the relationships between teacher characteristics and students' mathematics achievement in EU countries, including Hungary, Italy, Lithuania, Malta, Slovenia, Sweden, and Turkey, which are the only EU countries participated in TIMSS 2015 at the eighth-grade level. The data consisted of the sample of 31,969 eighth-grade…

This study examined how science epistemological beliefs and motivations (i.e., self-efficacy, enjoyment, interest, and instrumental motivation) were related to science performance in the UK, Singapore, Hong Kong, and Mainland China samples, using the data from the Programme for International Student Assessment (PISA) 2015. The results showed…

Student science proficiency development demands sustainable and coherent learning environment support. Scholars argue that project-based learning (PBL) is an efficient approach to promoting student science learning, compared to conventional instructions. Yet, few studies have delved into the learning process to explore how a coherent PBL system…

Initiatives promoting diversity, equity, and inclusion in predominantly White contexts, including STEM fields, have primarily relied on approaches to increase the representation of minoritized individuals. However, an increase in the representation of minoritized individuals is only one step of the process, as the present study suggests that…

Electrochemistry, a key topic in introductory chemistry, is a topic that many students struggle with conceptually. Visual learning tools like concept maps allow the externalization of key concepts and the relationships between these concepts may aid in students' acquisition and retention of newly learned electrochemistry concepts. Partnering with…

Research shows that motivation is a critical precursor to students' science achievement. However, research on the topic yields ambiguous results in different cultural contexts. While the positive association between motivation and science achievement has been evidenced universally, the relatively predictive effect and strength of different…

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…

The current research sought to identify important student achievement predictors from past literature, then use a publicly available dataset to assess the statistical contribution of technology factors above and beyond previously established effects. Using TIMSS data from Saudi Arabia, with data from 5,453 students in fourth grade mathematics and…

The creative achievements of eminent genius in Chinese history are of enormous interest. There is, however, uncertainty about the accurate measurement of eminence and creativity. The most tenable measurement approach is historiometric. Nearly all historiometric research on eminence and creative achievement has involved Western samples. The present…

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…