Purpose: This study aims to investigate the feasibility of developing general predictive models for using the learning management system (LMS) data to predict student performances in various courses. The authors focused on examining three practical but important questions: are there a common set of student activity variables that predict student…

Purpose: The purpose of this study was to use an established model of working memory in children to predict an established model of word learning to determine whether working memory explained word learning variance over and above the contributions of expressive vocabulary and nonverbal IQ. Method: One hundred sixty-seven English-speaking second…

Background: In this study we aimed to explore how intelligence and executive functioning are related to decision-making regarding social situations in persons with mild ID. Method: We studied 80 vocational school students with mild ID; the controls were 80 students of a similar age. We assessed decision-making ability with the Important Life…

Providing feedback to students in a sustainable way represents a perennial challenge for secondary teachers of writing. Employing artificial intelligence (AI) tools to give students personalized and immediate feedback holds great promise. Project Topeka offered middle school teachers pre-curated teaching materials, foundational texts and videos,…

Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…

This study aimed to employ machine learning techniques to uncover the pivotal determinants influencing the reading proficiency of fourth-grade students across 65 regions, as participants in the PIRLS 2021 assessment. The primary objective was to discern and assess key factors at the student, family and school levels that predict high and low…

Feeling like a different person when speaking different languages has been investigated before and attributed to several linguistic as well as psychological factors. Language proficiency, the context of language acquisition, personality traits, emotional intelligence, and the topic of conversation as well as the interlocutor have been found to…

Shifting students to a growth mindset can increase their achievements. Nevertheless, only a few studies have been conducted on this topic in developing countries. This study aims to examine the relationship between growth mindset, school context, and mathematics achievement in Indonesia. Using a multilevel model on the PISA 2018 data, this study…

Most parents in Indonesia are unable to provide maximum care for their children while working. Childcare includes fostering moral intelligence, which is carried out by grandmothers, household assistants, and daycare assistants. Furthermore, 178 young children (95 males and 83 females) and 178 caregivers (68 grandmothers, 54 household assistants,…

Aggression in early childhood has been found to predict negative outcomes later in life, including delinquency and psychopathology. The present study explored associations between young children's language, self-regulation, and physical aggression. A community sample of 126 preschool children aged 3 to 6 years (M = 4.87 years, SD = 0.87; 59% boys)…

Many researchers have used the standard Iowa Gambling Task (IGT) to assess decision-making in adolescence given increased risk-taking during this developmental period. Most studies are cross-sectional and do not observe behavioral trajectories over time, limiting interpretation. This longitudinal study investigated healthy adolescents' and young…

Audio-visual recording and location tracking produce enormous quantities of digital data with which researchers can document children's everyday interactions in naturalistic settings and assessment contexts. Machine learning and other computational approaches can produce replicable, automated measurements of these big behavioral data. The…

The role of emotions in student engagement has been examined in many studies. However, little is known about how emotional intelligence (EI) is related to engagement and other key learning outcomes in higher education. To fill this gap, this study examined how EI is associated with student engagement and how EI and engagement jointly predict key…

Reading comprehension is a complex task requiring many underlying skills. Syntactic awareness and morphological awareness are two such skills that have been shown to be related to reading comprehension. However, the majority of studies have been carried out in English, and very few have explored these skills in monolingual Spanish speaking…

In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design and which is based on the explainable k-nearest neighbor algorithm,…