Students involve themselves in learning activities multidimensionally, including behaviorally, cognitively, emotionally, and agentically. This multidimensional involvement predicts important outcomes, but it is also possible that each type of engagement might have its own specialized purpose or function. To investigate this possibility, we…

Learners' attempts to regulate their own motivation for studying in the face of tedious or difficult tasks is an important aspect of self-regulated learning. Therefore, motivation regulation has received increasing attention over the past few years, resulting in numerous publications using different definitions of the construct, samples,…

It is well known that successful second language (L2) learners are motivated individuals. Accordingly, L2 researchers have tested the predictive power of different motivational constructs on language learning outcomes. However, this perspective appears to neglect the assessment of achievement as a predictor of future motivation. To assess this…

Background: The purported reciprocity between motivation and academic achievement in education has largely been supported by correlational data. Aims: Our first aim was to determine experimentally whether motivation and achievement are reciprocally related. The second objective was to investigate a potential behavioural mediation pathway between…

In this meta-analysis, we examined the average correlations (weighted for sample size and corrected for measurement error) between the varied types of motivation specified within self-determination theory (SDT) and second language (L2) achievement. We also conducted moderator analyses to explore whether these relationships are influenced by age,…

This study examines the direct and indirect effects of perceived parental academic involvement on student achievement through academic motivation, based on Self-Determination Theory. The study group consisted of 849 ninth-grade students from 12 public high schools in a major urban area in Türkiye. Parental involvement was analyzed through two…

The motivational basis of self-regulated learning lays a solid theoretical framework for education researchers to look closely at the learners' intrinsic motivational factors in enhancing their academic outcomes. Particularly, learners' motivation forces, embedded in the self-regulatory learning (SRL) process, have not been well researched in an…

Integrating generative artificial intelligence (AI) tools like ChatGPT into education has reshaped academic practices, offering students innovative ways to engage with learning tasks. This study examines the cognitive, emotional, and behavioral factors influencing undergraduate students' engagement with ChatGPT, guided by the technology acceptance…

The study aimed to answer 'How students in higher education utilise AI to enhance their academic performance when there is an intrinsic motivation to learn'. An online survey was used to collect data from 170 undergraduate students who pursue management and administration-related courses. The structural equation modelling (SEM) was conducted using…

The education system in the United States has historically scored low among countries across the globe. The Nation's Report Card, created by the National Assessment of Educational Progress [NAEP], showed that the proficiency in math for students decreased as they matriculated through school: Grade 4 -- 41%, Grade 8 -- 34%, and Grade 12 -- 24%…

Student academic procrastination has been established as a strong predictor of several unfavorable consequences such as poor academic performance, low academic self-efficacy, and negative emotional experience. Increasing knowledge on what variables affect academic procrastination can assist nurturers and educators in minimizing student academic…

The aim of this study was to adapt the Tuckman Procrastination Scale for use with Azerbaijani adolescents and explore the relationships between procrastination, academic motivation and self-efficacy. Data were obtained from 718 adolescents in Azerbaijan whose ages ranged from 10 to 18 years (M = 13.61, SD = 1.86) through convenience sampling. As…

Research into second language acquisition (SLA) has shown that individual difference (ID) variables can be strong predictors of language achievement (e.g., Dornyei, 2003; Skehan, 2003). Traditionally, this research conceptualized ID variables as static and monolithic variables (e.g., Dornyei, 2010). More recently scholars have questioned this…

Use of digital learning tools (DLTs) in classrooms has markedly increased since the COVID-19 pandemic began. Concerns exist that some DLTs were integrated without careful consideration of their impacts on student motivation to learn and/or academic achievement. Moreover, differences in student demographic profiles and the learning environment may…

This two-study research built and validated the new questionnaire "LO-COMPASS: Learning Orientation-Cognition Metacognition Participation Assessment" aimed at capturing the interplay between cognitive, metacognitive, and affective-motivational learning attributes in middle school students' learning orientations proved to be significant…