SELF-DIRECTED LEARNING SKILLS OF UNDERGRADUATE STUDENTS: A STUDY AT NONG LAM UNIVERSITY - HO CHI MINH CITY, VIETNAM

This study examines students' self-directed learning skills at Nong Lam University - Ho Chi Minh City, focusing on their attitudes and competencies in various aspects of autonomous learning. A quantitative research design was applied, and a cross-sectional survey was employed to explore the determinants of self-directed learning among undergraduate students systematically. The sample of 8472 students was chosen using a convenience sampling method, and data were collected through a structured questionnaire based on the Self-Directed Learning Skills Scale (SDLSS). The research analyzes nine dimensions: attitudes towards learning (ATL), learning responsibility (LR), motivation and self-confidence (MS), the ability to plan learning (PL), the ability to use learning opportunities (ULO), ability to manage information (MI), ability to apply learning strategies (ALS), assessment of the learning process (ALP), and the evaluation of learning success/results (ELS). Findings indicate positive student attitudes, with average mean scores ranging from 3.5 to 4.2, suggesting high levels of agreement across these dimensions. Students demonstrated the most substantial commitment to responsibility for their learning, showing consistent accountability. Keywords: Active learning; attitude; motivation; self- directed learning; learning strategies

Authors

Publication Details

Journal
Tạp chí Khoa học Trường Đại học Vinh. Series C Khoa học và công nghệ giáo dục
Published
2025-03-20
DOI
https://doi.org/10.56824/vujs.2024c149c
Primary Topic
Higher Education Learning Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SELF-DIRECTED LEARNING SKILLS OF UNDERGRADUATE STUDENTS: A STUDY AT NONG LAM UNIVERSITY - HO CHI MINH CITY, VIETNAM

Võ Văn Việt, NGUYEN Thi Kim An
Tạp chí Khoa học Trường Đại học Vinh. Series C Khoa học và công nghệ giáo dục
Higher Education Learning Practices
article

SELF-DIRECTED LEARNING SKILLS OF UNDERGRADUATE STUDENTS: A STUDY AT NONG LAM UNIVERSITY - HO CHI MINH CITY, VIETNAM

Võ Văn Việt, NGUYEN Thi Kim An
article en

Abstract

This study examines students' self-directed learning skills at Nong Lam University - Ho Chi Minh City, focusing on their attitudes and competencies in various aspects of autonomous learning. A quantitative research design was applied, and a cross-sectional survey was employed to explore the determinants of self-directed learning among undergraduate students systematically. The sample of 8472 students was chosen using a convenience sampling method, and data were collected through a structured questionnaire based on the Self-Directed Learning Skills Scale (SDLSS). The research analyzes nine dimensions: attitudes towards learning (ATL), learning responsibility (LR), motivation and self-confidence (MS), the ability to plan learning (PL), the ability to use learning opportunities (ULO), ability to manage information (MI), ability to apply learning strategies (ALS), assessment of the learning process (ALP), and the evaluation of learning success/results (ELS). Findings indicate positive student attitudes, with average mean scores ranging from 3.5 to 4.2, suggesting high levels of agreement across these dimensions. Students demonstrated the most substantial commitment to responsibility for their learning, showing consistent accountability. Keywords: Active learning; attitude; motivation; self- directed learning; learning strategies

Tạp chí Khoa học Trường Đại học Vinh. Series C Khoa học và công nghệ giáo dụcVol. 54(1C)
Openalex Percentile: Top 95%
Higher Education Learning Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.