Learning analytics, located at the intersection of learning science, data science, and computer science, aims to leverage educational data to enhance teaching and learning. However, as educational data increases, distilling meaningful insights presents challenges, particularly concerning individual learner differences. This work introduces a…

Two studies examined how preschoolers (N = 610; French) explain differences in achievement. Replicating and extending previous research, the results revealed that children invoke more inherent factors (e.g., intelligence) than extrinsic factors (e.g., access to educational resources) when explaining why some children do better in school than…

Research on self-assessment has overwhelmingly conceptualized it as a product and treated students as a homogeneous group, restraining our understanding of the topic. To address this gap, this study aimed to identify different student profiles based on their self-assessment and to examine how it related to their learning achievement over time.…

This paper shares the results of a meta-analysis on the parental-expectations component of parental involvement and its relationship with the student outcomes of urban students. Special attention is paid to parental expectations, because in many past studies, parental expectations has been the most salient component of parental involvement. This…

Background: Previous research has demonstrated that quizzing can improve self-regulation processes and learning performances. However, it remains unclear whether quizzes in multimedia material bring similar benefits, and whether interindividual differences such as working memory capacity (WMC) modulate quizzing effects. Aims: This study aimed to…

Teacher-student relationships (TSR) have been linked in research to a positive correlation with Student Academic Achievement (SAA). However, few of these studies have used empirical data to quantitatively link TSR to SAA. This study used an explanatory sequential mixed method design model to explain quantitative results through semi-structured…

This study examined the unique and interactive role of students' quality of motivation, as defined in self-determination theory, and their mindsets about intelligence, as conceptualized in Dweck's framework, in predicting a variety of learning outcomes (engagement, learning strategies, persistence, procrastination, and test anxiety) and…

Background: Undergraduate teaching assistants (UTAs) are associated with increased student performance and belongingness. Yet, when given a choice, not all students leverage UTA-facilitated opportunities equally. Objective: This study explores motivational and contextual factors that underlie individual differences in students' willingness to…

Background: Loneliness during adolescence has adverse consequences for mental health, education and employment outcomes. Yet, we know little about common correlates of loneliness among adolescents, making intervention work difficult. Aims: In this study, we (1) explore individual-, school- and country-level correlates of loneliness to help…

The study investigated the joint contribution of the self-regulated learning (SRL) and individual differences approaches to the prediction of university students' grade point average (GPA) obtained at three separate time points throughout their degree (3 years). We assessed cognitive (i.e., previous academic performance, cognitive ability, and…

Performance on lab assessments of executive functions predicts academic achievement and other positive life outcomes. A primary goal of research on executive functions has been to design interventions that improve outcomes like academic achievement by improving executive functions. These interventions typically involve extensive practice on…

Learning processes that involve cognitive incongruity are closely tied to emotional experiences such as curiosity or confusion. The present study examined how discovering that a confidently held misconception is incorrect influences emotions and in turn the motivation to seek additional information. We asked 275 preservice teachers to judge if…

This study aims to examine the digital and technological competencies of university students studying at different faculties. In this context, digital and technological competencies of university students were examined based on the comparative relational screening model according to gender, class and academic achievement variables. The…

While intelligence and motivational variables are well-established predictors of academic achievement, Need for Cognition (NFC), the stable intrinsic motivation to engage in and enjoy challenging intellectual activity, has not yet been considered comprehensively in this field, especially not longitudinally. By applying latent change score…

This quantitative study examined the effects of stored color knowledge on learning achievement and cognitive load using a randomized pretest-posttest control group design. Social media was used to recruit 60 adult participants, randomized into control and experimental groups. A multimedia lesson was presented where the control group viewed images…