The effects of the direct and indirect relationships of personality traits on academic performance are shared in this paper. These complex relationships are examined using Structural Equation Modelling (SEM) with reference to the modified Biggs' 3P model. The major findings of the effects of personality traits on academic performance are (1) the…

Research on learning strategies and learning motivation in different educational contexts has provided valuable insights, but in this field, low-educated adults remain an understudied population. This study addresses this gap by means of a person-oriented approach and seeks to investigate whether quantitatively and qualitatively different learner…

Enrolment in master's programmes, especially online ones, has increased exponentially in recent years. This article analyses the relationship that several sociodemographic and academic variables have with motivational components, self-regulation, study approaches, and competence development in online university postgraduate students. The following…

The massification and diversification of the student population who enters university has become a challenge for Higher Education institutions. A better consideration of this diversity could help to gain a greater understanding of students' achievement process, and this requires observing situations where this diversity is substantial. Thus, in…

Background: It is vital to understand students' Self-Regulatory Learning (SRL) processes, especially in Blended Learning (BL), when students need to be more autonomous in their learning process. In studying SRL, most researchers have followed a variable-oriented approach. Moreover, little has been known about the unfolding process of students' SRL…

During their first year of study at university, many students encounter challenges in developing learning strategies that align with success in the courses in which they are enrolled. The emergence of the COVID-19 pandemic heightened the challenges as universities were compelled to transition to online learning. Therefore, this study investigated…

Grades in introductory STEM courses can impact intrinsic motivation (IM) and self-efficacy (SE). We used an exploratory approach to examine trends in grades and how IM and SE impact students' grades. It is known that most first-generation (FG) college students are from underrepresented backgrounds (URM), and that these students are least likely to…

Background: Instructors and students are on a continuing quest to identify predictors of learning. Objective: This study examines the associations between self-reported exam score and study techniques among students in two courses, Introductory Psychology and Computer Science. Method: We used an online survey to measure the extent students (N =…

Prior research has noted differences in motivational, academic, and well-being factors between first-generation and continuing-education students. However, past investigations have primarily overlooked the interactive influence of protective and risk factors when comparing the characteristics of first-generation and continuing-education students.…

This study aims to examine the motivational profiles of Malay students in Singapore-based self-regulated learning framework (Pintrich & De Groot, 1990) and self-determination theory (SDT; Deci & Ryan, 1985). The sample consisted of 740 secondary school students from 24 tuition centres for Malay students only. The students were from three…

The first purpose of this study was to examine the associations between students' motivational characteristics and their language-specific grit for learning English. Second, this study aimed to investigate how students' language-specific grit and motivational characteristics related to their achievement in English. While examining the presence of…

Educational data mining is a developing research trend for exploring hidden patterns and natural associations among a set of student, teacher or school related variables. Discovering profiles of preservice science teachers using data mining methods would give important information about quality of teacher education programs and future science…

The objective of this study is to construct a model which explains and predicts the relations of university students' cyberloafing behaviors with demographic and academic variables at computing courses where online social networking sites are utilized for education and is to review whether there is longitudinal effect on these relations in terms…

Today's educational institutions are expected to create learning opportunities independent of time and place, to offer easily accessible learning environments and interpersonal communication opportunities. Accordingly, higher education institutions develop strategies to meet these expectations through teaching strategies, such as e-learning,…

This study explores the structural relationship among digital literacy, learning strategies, and core competencies among South Korean college students as well as the group differences between these variables depending on individual characteristics. Data analysis was conducted by correlation analysis, independent sample "t"-testing, and…