Background: Life satisfaction is a key component of students' subjective well-being due to its impact on academic achievement and lifelong health. Although previous studies have investigated life satisfaction through different lenses, few of them employed machine learning (ML) approaches. Objective: Using ML algorithms, the current study predicts…

Although Macau students have consistently been recognized as top performers in international assessments, little research has been conducted to explore the various factors that are associated with their achievement. This paper aimed to identify factors that could best predict Macau students' reading achievement using PISA 2018 data provided by…

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…

Background: Given that students from socio-economically disadvantaged family backgrounds are more likely to suffer from low academic performance, there is an interest in identifying features of academic resilience, which may mitigate the relationship between disadvantaged socio-economic status and academic performance. Aims: This study sought to…

Filipino students ranked last in reading proficiency among all countries/territories in the PISA 2018, with only 19% meeting the minimum (Level 2) standard. It is imperative to understand the range of factors that contribute to low reading proficiency, specifically variables that can be the target of interventions to help students with poor…

The Skills Imperative 2035 is a five-year strategic research programme which is investigating future skills needs, skills supply and skill development, with a particular focus on the 'Essential Employment Skills' (EES) that are projected to be most vital across the labour market in 2035. The focus in this stage of the programme is on exploring the…

In school settings, students' mindset about intelligence (i.e., fixed versus growth mindset) and their sense of belonging to school (SBS) have both been shown to predict academic attainment. However, these constructs have rarely been examined together although both were found to be impacted by students' socioeconomic status (SES). Across the…

International Large-Scale Assessments (LSA) allow comparisons of education systems' effectiveness in promoting student learning in specific domains, such as reading, mathematics, and science. However, it has been argued that students' scores in International LSAs mostly reflect general cognitive ability (g). This study examines the extent to which…

Filipino students performed poorly in the 2018 Programme for International Student Assessment (PISA) mathematics assessment, with more than 50% obtaining scores below the lowest proficiency level. Students from public schools also performed worse compared to their private school counterparts. We used machine learning approaches, specifically…

The Skills Imperative 2035 is a five-year strategic research programme which is investigating future skills needs, skills supply and skill development, with a particular focus on the 'Essential Employment Skills' (EES) that are projected to be most vital across the labour market in 2035. The focus in this stage of The Skills Imperative 2035 is on…

Both formative assessment and growth mindset scholars aim to understand how to enhance achievement. While research on formative assessment focuses on external teaching practices, work on growth mindset emphasises internal psychological processes. This study examined the interplay between three formative assessment strategies (i.e. sharing learning…

In the future, education systems should nurture a broader range of capabilities, help restore meaning to young people's lives and equip them with the skills and ambition to remake our societies, economies and organisations. To flourish over a lifetime, people will need to be adaptive problem solvers, ethically competent and able to understand,…

By applying educational data mining methods to big data related to large-scale exams, functional relationships are discovered in a basic sense and hidden pattern(s) can be revealed. Within the scope of the research, to show how the self-organizing map (SOM) method can be used in terms of educational data mining, how SOM differs from other…

This research intended to identify key contextual factors that synergistically influence high- and low-performing students' science outcomes by drawing upon a dynamic model of educational effectiveness. The dataset, the Programme for International Student Assessment (PISA) 2015, consisted of 79,963 science scores for secondary students (49,924…

The purpose of this research was to determine classification accuracy of the factors affecting the success of students' reading skills based on PISA 2018 data by using Artificial Neural Networks, Decision Trees, K-Nearest Neighbor, and Naive Bayes data mining classification methods and to examine the general characteristics of success groups. In…