This research tested a mediation model, examining whether individual differences in mothers' school readiness beliefs influenced home literacy practices and children's later academic achievement among African American (n = 114) and primarily Mexican origin Latina mothers (n = 164) and their children. Mothers of children ages 3-4 years reported…

It is well known that successful second language (L2) learners are motivated individuals. Accordingly, L2 researchers have tested the predictive power of different motivational constructs on language learning outcomes. However, this perspective appears to neglect the assessment of achievement as a predictor of future motivation. To assess this…

In this study, in line with TIMSS 2019 data, 8th grade students' school engagement in the Turkish education system and various variables in the field of science and mathematics, which are thought to be related to school engagement, were examined with the Random Forest method, a method amongst data mining methods. This research focuses on student…

In the traditional teaching mode, it is difficult for teachers to have a comprehensive understanding of each student's study, and it is also hard for them to provide targeted guidance and assistance. With the development of data collection and analysis technology, schools and educational institutions can make better use of big data technology to…

Enrollment in dual credit classes has increased over the last 10 years benefiting K-20 education and high school students in providing an opportunity to obtain college credits and increasing postsecondary education enrollment. The purpose of this study was to investigate the predictors of achievement through the lens of Social Cognitive Theory by…

This quantitative, correlational-predictive study examined the predictive relationship of the NWEA's Map Growth projected proficiency report data with students' STAAR scores in the area of mathematics, using archival data from the 2021-2022 school year. The theoretical foundation for this study was provided by Vygotsky's zone of proximal…

This research aims to examine the predictive relationship between the economic, social and cultural level index (ESCS) and academic achievement in the context of PISA 2018 Turkey sample. Research used secondary data analysis, a quantitative research method. In this regard, advanced analyzes were carried out in line with the new and different…

Today's economy demands higher order thinking skills (HOTS), and the public education system has a critical role in supporting students' acquisition of HOTS. Yet, numerous studies documented inequity in access to higher quality instruction that promotes HOTS, which could result in wide test score gaps in HOTS. In this study, I examined test score…

This study investigated the growth trajectory of academic achievement in Math and English among 519 students in a vocational senior high school in Taiwan. Covering the complete individual learning profile, our dataset included pre-enrollment variables, periodic test scores, and college entrance examination scores. We employed a group-based…

The study was designed to address how teachers' self-efficacy influenced student achievement through the use of a formative assessments in the classroom. Student achievement and learning outcomes are the primary focus for educators, and the constant quest to improve student learning is a common theme. The problem addressed was low levels of…

The unprecedented growth of Spanish-English dual language learners (DLLs) in new destination states (e.g., Georgia, Indiana, South Carolina, Tennessee) calls for better understanding of the relation between their bilingual vocabulary skills and English reading achievement. The current study focused on school-age Spanish-English DLLs (N = 60) in…

Considering the large volume of PISA data, it is expected that data mining will often be assisted in making PISA data more meaningful. Studies show that different dimensions of ICT may reveal different relationships for mathematics achievement. The purpose of this article is to evaluate the success of the decision tree classification algorithms in…

This quantitative, ordinal logistic regression study aimed to explore the relationship between the implementation of personalized learning and special education students' progress measures on STAAR. Another purpose was to determine if teachers' perceptions of implementation, using Olofson's survey, can predict the growth on STAAR. The conceptual…

The predictive utility of cognitive abilities on reading, writing, and mathematics achievement domains helps inform high-stakes decision making, such as learning disabilities. An examination of differences in specific groups may increase understanding of obtained scores on cognitive ability and academic achievement standardized tests. One…

In order to make appropriate educational recommendations, psychologists must understand how cognitive test scores influence specific academic outcomes for students of different ability levels. We used data from the WISC-V and WIAT-III (N = 181) to examine which WISC-V Index scores predicted children's specific and broad academic skills and if…