Research has shown that the development of cognitive and social skills in preschool predicts school readiness in kindergarten. However, most longitudinal studies are short-term, tracking children's development only through the early elementary school years. This study aims to investigate the long-term impact of preschool predictors, intelligence,…

Despite its proven success in various fields such as engineering, business, and healthcare, human-machine collaboration in education remains relatively unexplored. This study aims to highlight the advantages of human-machine collaboration for improving the efficiency and accuracy of decision-making processes in educational settings. High school…

Numerous artificial intelligence methods have lately been applied in education. This study proposes an Adaptive Neural-network-based Fuzzy Logic (ANFIS) model combining fuzzy logic and artificial neural networks for predicting students' STEM attitudes. The inputs of the research were determined as grade levels and academic achievement scores, and…

Although numerous studies show that intelligence, measured by various tests, is a significant predictor of school achievement, this cognitive variable can only explain about 50% of the variance. It is also known that communicative language ability represents an important basis for learning subject content in the early period of formal education.…

The actiotope model of giftedness (AMG) highlights the interactions between the individual and the environment. Educational and learning capital (ELC) are essential resources that promote the development of excellence. The study objectives were to examine the contribution of educational capital (EC), learning capital (LC), and general intelligence…

Explainable recommendation, which provides an explanation about why a quiz is recommended, helps to improve transparency, persuasiveness, and trustworthiness. However, little research examined the effectiveness of the explainable recommender, especially on academic performance. To survey its effectiveness, the authors evaluate the math academic…

Game-based learning (GBL) is increasingly recognized as an effective tool for teaching diverse skills, particularly in science education, due to its interactive, engaging, and motivational qualities, along with timely assessments and intelligent feedback. However, more empirical studies are needed to facilitate its wider application in school…

Background/purpose: Middle school is a critical stage for shaping students' academic paths, but traditional orientation methods often fail to predict suitable trajectories, leading to mismatches that impede success. This study aims to develop a proactive, data-driven framework to forecast academic orientation for middle school students, enhancing…

Gifted underachievers perform worse in school than would be expected based on their high intelligence. Possible causes for underachievement are low motivational dispositions (need for cognition) and metacognitive competences. This study tested the interplay of these variables longitudinally with gifted and non-gifted students from Germany…

This study investigated English learner profiles and challenges among 884 Korean 5th-grade students, with a focus on the role of AI-assisted language learning in shaping proficiency outcomes. While AI-based interventions have gained popularity, their effectiveness across diverse learner populations remains insufficiently explored. The study aimed…

A distinct feature of educational games using augmented reality (AR) is that the game is played through physically interacting with the environment, whereas physical interaction is typically rather limited in other digital games. Understanding and performing the interactive game mechanics can be cognitively demanding. Adding pre-training could…

Our research aims to predict students' academic performance by considering the variables affecting academic performance in science courses using the deep learning method from machine learning algorithms and to determine the importance of independent variables affecting students' academic performance in science courses. 445 students from 5th, 6th,…

Artificial intelligence (AI) has the potential to support self-regulated learning (SRL) because of its strong anthropomorphic characteristics. However, most studies of AI in education have focused on cognitive outcomes in higher education, and little research has examined how psychological needs affect SRL with AI in the K-12 setting. SRL is a…

Introduction: There is a variety of literature regarding reading development in its acquisitional stages, and also regarding reading disabilities that appear in early childhood. However, from the cognitive point of view, there has been less study of reading comprehension in secondary students. The principal aim of this study was to analyze the…

Noncognitive constructs such as self-efficacy, social awareness, and academic engagement are widely acknowledged as critical components of human capital, but systematic data collection on such skills in school systems is complicated by conceptual ambiguities, measurement challenges and resource constraints. This study addresses this issue by…