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…

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…

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…

Researchers developing questionnaire measures of personality, motivation, and self-regulation constructs related to students' achievement and persistence in STEM or other fields rarely have examined whether the items on the measures used are functioning differently across groups, which is necessary for accurate group comparison. The present study…

Using the Biggs' 3P learning model and correlational design, this study explores the relationship between students' individual characteristics and course perceptions, approach to study, and academic outcomes, which account for the differences in academic achievement and student delay. 612 Italian students of a master's degree in psychology…

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…

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…

Instructional technologists and faculty in post-secondary institutions have increasingly adopted learning analytics interventions such as dashboards that provide real-time feedback to students to support student' ability to regulate their learning. But analyses of the effectiveness of such interventions can be confounded by measures of students'…

This study examined the potential of utilizing the Motivated Strategies for Learning Questionnaire (MSLQ) and the Online Strategies for Learning Questionnaire (OSLQ) as instruments in predicting academic success as measured by overall grade point average (GPA). These instruments were of particular interest because the MSLQ was designed to measure…

One-to-one technology, which allows every student to receive equal access to learning tasks through a personal computing device, has shown increasing potential for self-directed learning in elementary schools. With computer-supported self-directed learning (CS-SDL), students may set their own learning goals through the suggestions of the system…