Previous research has shown that three comparison types are involved in the formation of students' academic self-concepts: social comparisons (where students compare their achievement with their classmates), dimensional comparisons (where students compare their achievement in different subjects), and temporal comparisons (where students compare…

This cluster-randomised study investigated the effects of a Norwegian early warning system, the IKO model. IKO is a Norwegian acronym for identification, assessment, and follow-up, and the model aims to improve schools' abilities to identify and support students who are at risk of dropping out during the school year. The study involved 7677…

This study compares the estimated grammar school effect in different regression models, and explains why previous evidence of the effectiveness of grammar school is mixed. Like most studies of school effectiveness evaluation, previous research on grammar school effect usually applies regression to control for confounding between-school factors and…

Engineering higher education is growing rapidly across the world, especially in the Global South. For many of these countries, the dominant engineering university models were imported and established by colonial European empires. These imported systems of higher education and engineering evolved to meet the local contexts of Europe and the United…

This paper aims to determine the predictive relationships between achievement goals and learning approaches in the context of social studies teaching and to compare the goal orientation models (3x2, 2x2) in the context of their relationships with learning approaches. The study utilized the multi-factorial predictive correlational design. The study…

We analyze a natural experiment in which policymakers in Pennsylvania first implemented, and later removed, reimbursements to districts for students exiting to brick and mortar and cyber charter schools. Generalized difference-in-difference models show that larger shares of students enrolling in charter schools predict decrements in spending,…

Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…

Turnaround interventions often require or encourage low-performing schools to replace teachers, assuming that schools will recruit high-performing teachers who remain effective after transferring. However, teacher effectiveness may change after transferring, which could explain why some teacher replacement efforts do not improve student…

Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…

Given the significant role that academic self-concept plays in students' learning, understanding the psychological processes involved in its formation continues to be an important focus of enquiry. There is strong empirical support for two major models of academic self-concept (ASC) formation: the big-fish-little-pond (BFLP) model and the…

Information is everywhere in a hidden and scattered way. It becomes useful when we apply Data mining to extracts the hidden, meaningful, and potentially useful patterns from these vast data resources. Educational data mining ensures a quality education by analyzing educational data based on various aspects. In this paper, we have analyzed the…

Various changes in the spheres of education policy and school management over recent decades have sparked a renewed interest in the issue of school culture and its potential to understand processes of leadership and academic performance. What are the contributions and potentialities of organizational culture for understanding school organizations…

Student grade prediction is a popular task for learning analytics, given grades are the traditional form of student performance. However, no matter the learning environment, student background, or domain content, there are things in common across most experiences in learning. In most previous machine learning models, previous grades are considered…

The research aimed to uncover the effect of JiRQA learning a model of based gender on students' achievement at the environmental pollution material. The method was quasi-experimental using of 2 x 2 factorial. The population was all students at junior high school from Ketungau Tengah, Indonesia. The samples were 120 students from two separate…

The purpose of this research was to ascertain whether there had been any improvement in students' metacognitive and critical thinking skills through the development of the 'Teaching Factory Based on Troubleshooting' (TEFA-T) model in automotive vocational learning. The research had both quantitative and qualitative components and applied the 4D…