This study seeks to identify profiles of depressive symptoms trajectories among a sample of 2,696 Finnish students (56.8% female), followed from 13-14 to 18-19 years old. Piecewise growth mixture analyses identified 5 trajectories: Low Stabilizing (6.20%), Mild Increasing (47.90%), Moderate Stabilizing (36.82%), Low Increasing (3.62%), and High…

Perception of self-efficacy is the judgment of ability, while self-esteem is judgment about self-worth (Bandura, 1993). Self-efficacy beliefs play a key role in shaping one's life by influencing the environment and activities in which a person wishes to enter. This study tests the relationship between the personal values of adolescents and their…

Educators have a critical role in enhancing children's play interests within the classroom by determining the actions and context of their play. This study examined personal and professional characteristics associated with educators' self-reported play engagement preferences using a sample of Greek early childhood educators. One hundred…

Cognitive diagnostic assessment based on Bayesian networks (BN) is developed in this paper to evaluate student understanding of the physical concept of buoyancy. we propose a three-order granular-hierarchy BN model which accounts for both fine-grained attributes and high-level proficiencies. Conditional independence in the BN structure is tested…

Purpose: The first purpose of this study was to investigate how children's knowledge of taught words and transfer words assessed 10 months after a morphological vocabulary intervention can be predicted by means of language measures taken before the intervention. The second purpose was to investigate whether and how immediate post-intervention…

The research aims to determine the factors affecting PISA 2018 reading skills using the Random Forest and MARS methods and to compare their prediction abilities. This study used the information from 5713 students, 2838 (49.7%) male and 2875 (50.3%) female, in the PISA 2018 Turkey. The analysis shows the MARS method performed better than the Random…

Background: Understanding how or whether sedentary behavior affects motor competence in young children is important considering that children spend a lot of time sedentary. The aim of this study was to examine whether sedentary behavior predicts motor competence in young children. Methods: A longitudinal study with a total of 372 children aged 3.5…

In mixed methods approaches, statistical models are used to identify "nested" cases for intensive, small-n investigation for a range of purposes, including notably the examination of causal mechanisms. This article shows that under a commonsense interpretation of causal effects, large-n models allow no reliable conclusions about effect…

The purpose of this study is to analyze the mental model of improvement and changes on light wave concepts with Conceptual Change based on Virtual Media (CC-VM) x POE strategy. The method used is mixed methods with embedded design. The sample consisted of 30 students (with an age range of 16-17 years) in one of the schools in Subang, Indonesia.…

Data-driven decision-making and data-intensive research are becoming prevalent in many sectors of modern society, i.e. healthcare, politics, business, and entertainment. During the COVID-19 pandemic, huge amounts of educational data and new types of evidence were generated through various online platforms, digital tools, and communication…

Many educational institutions are using predictive models to leverage actionable insights using student data and drive student success. A common task has been predicting students at risk of dropping out for the necessary interventions to be made. However, issues of discrimination by these predictive models based on protected attributes of students…

The psychological mechanisms that subserve inductions about novel social categories in childhood are hotly debated. While research demonstrated that language, and in particular generic statements, plays a major role in how children learn to attribute properties to social categories, developmental theories propose other mechanisms. One theoretical…

In recent years, smart learning environments have become central to modern education and support students and instructors through tools based on prediction and recommendation models. These methods often use learning material metadata, such as the knowledge contained in an exercise which is usually labeled by domain experts and is costly and…

This paper addresses families' perceptions of corporate influence in career and technical education (CTE) through market-driven policies that enable data extraction for student profiling and seek to align K-12 education with business-driven needs. Aligning education with business needs can offer early employment, however, accelerating…

To provide intelligent learning guidance for students in e-learning systems, it is necessary to accurately predict their performance in future exams by analyzing score data in past exams. However, existing research has not addressed the uncertain and dynamic features of students' cognitive status, whereas these features are essential for improving…