In 2018, a resurgence of youth activism burst forth calling for widespread climate action. The contemporary youth climate movement is a cogent case to unpack how political participation of youth is shaped by schools. In this study we use administrative data from public schools in New York City (n=1,313) to examine two measures of youth…

The aim of the present study was to examine the factor affecting reading performance of the students in a broad sense. The sample was comprised of a total of 752076 students who participated in PISA studies from OECD member countries during the years of 2000 (n = 159095), 2009 (n = 298454) and 2018 (n = 294527) in which reading literacy was the…

The aim of this work is to provide data-driven insights regarding the factors behind dropouts in Higher Education and their impact over time. To this end, we analyzed students' data collected by a Higher Education Institute over the last 11 years and we explored how socio-economic and academic changes may have impacted student dropouts and how…

Reading self-concept plays a significant role in academic achievement. Considering increasing numbers of English learners (ELs) in the United States, there is an urgent need to investigate self-perceptions of ELs in comparison to those of native English speakers (NES). We applied Elastic Net analysis (ENET), a machine learning approach, to PISA…

Access to body-based resources has been shown to augment cognitive processes, but not all movements equally aid reasoning. Interactive technologies, like dynamic geometry systems (DGS), potentially amplify the link between movement and geometric representation, thereby deepening students' understanding of geometric properties. This study…

This paper will demonstrate how we used state-level longitudinal data to model reading growth trajectories. Using data from large scale assessments that were vertically linked across grades in Hawaii, we utilized a multilevel regression framework to develop growth models to study students' reading performance trajectories during their elementary…

Lifelong learning emerges as an important dimension in the implementation of sustainable education policies of countries. The conception of developing citizenship competencies, which is at the centre of social studies, plays an important role in shaping the lifelong learning process. The purpose of this study is to analyse the lifelong learning…

We analyzed the effects of a game-based, supplemental fraction curriculum on fourth and fifth grade students' fraction knowledge, engagement, and STEM interest. Students with and without disabilities with intersecting identities (e.g., race, disability status, gender) comprised the sample. Results indicate significant differences in fraction…

This study employed hierarchical linear modeling to investigate the student- and school-level factors associated with the secondary mathematics achievement of English language learners (ELLs) and non-ELL students among a nationally representative sample of ninth graders in the United States. While certain characteristics, such as socioeconomic…

With the increasing adoption of Learning Management Systems (LMS) in colleges and universities, research in exploring the interaction data captured by these systems is promising in developing a better learning environment and improving teaching practice. Most of these research efforts focused on course-level variables to predict student…

Liberal Arts programs are often characterized by their open curriculum. Yet, the abundance of courses available and the highly personalized curriculum are often overwhelming for students who must select courses relevant to their academic interests and suitable to their academic background. This paper presents the course recommender system that we…

Each year, roughly 30% of first-year students at US baccalaureate institutions do not return for their second year and billions of dollars are spent educating these students. Yet, little quantitative research has analyzed the causes and possible remedies for student attrition. What's more, most of the previous attempts to model attrition at…

Developing tools to support students and learning in a traditional or online setting is a significant task in today's educational environment. The initial steps towards enabling such technologies using machine learning techniques focused on predicting the student's performance in terms of the achieved grades. The disadvantage of these approaches…

Self-regulation is increasingly considered as an important factor for child development. The present, nine-year, longitudinal study (N = 782) examines two components of self-regulation as predictors of later disciplinary status, anti-social involvement, and experiences with victimization. The teacher rating of self-regulation was identified as a…

When we speak about the academic achievement of the students and their personality, the internal state of a student is in connection with his personal experience and individual differences and talents, dispositions, motives, his "I" and a whole range of cognitive processes. Modern psychological theories of personality believe that the…