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…

Academic and practitioner interest in data science has increased considerably. Yet scholarly understanding of what motivates students to learn data science is still limited. Drawing on the theory of planned behavior, we propose a research model to examine the determinants of behavioral intentions to learn data science. In the proposed research…

Objective: The first objective of this research was to investigate the interrelationships of regulatory focus (i.e. promotion and prevention) and the ability to direct attention when studying. The second was to examine whether unobserved groups of individuals having distinct combinations of regulatory focus and directing attention differed on…

An expanding literature has explored the impact of second language (L2) self-concept on language achievement and motivation. This review adopts a psychological lens to examine L2 self-concept, beginning with an outline of prominent theoretical frameworks: situated expectancy-value theory; Shavelson et al.'s (1976) hierarchical, multidimensional…

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%…

Intercultural language learning (ICLL) has become an important concept that drives English learners' attention to the understanding and application of cultural elements in their English learning process; however, the learning motivation for and engagement in the proliferation of culture in English language teaching vary from one context to…

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…

Science learning takes place not only in the context of science class but also after class. Students' internal forms of motivation, such as curiosity and interest, affect the entire science learning process in both in-class and after-class contexts. In addition, both stable existing learner characteristics, such as science curiosity and interest…

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…

Purpose: The world after the pandemic of COVID-19 is looking at a different environment in teaching and learning and primarily being influenced by general online learning readiness. Perception towards the measurement of online learning readiness would also need to change. This study seeks to determine whether Malaysian undergraduate students are…

Within the framework of Self-Determination Theory (SDT), basic psychological need satisfaction predicts quality of motivation which in turn predicts study efforts. Although studies focusing on interpersonal differences have repeatedly shown this sequence of relations, only a few have examined its stability at the intra-personal level. In this…