Cross-national analysis of learning approaches, achievement motivation, and academic success among nursing students

BACKGROUND: Academic success among nursing students is vital for developing the professional skills necessary to ensure the safety and quality of patient care. This study examines the relationship between learning approaches (Deep, Strategic, and Surface), achievement motivation, and academic performance among nursing students. METHODS: This study employed a sample of 770 participants, balanced by country (n = 110 per country) but not by year of study. With 110 nursing students recruited from each of the seven participating countries through a multi-phase process designed to ensure cross-national data integrity. The research was conducted across seven different countries: Egypt, India, Indonesia, Jordan, Oman, Saudi Arabia, and Sudan. The Approaches and Study Skills Inventory for Students, Achievement Motivation Scale and academic performance tools were adopted in this study to assess the study approaches, achievement motivation and academic performance of the nursing students respectively. RESULTS: Deep learning (DL) was found to be the strongest positive factor (p < .001) for predicting high achievement, each unit increase in DL is associated with an 8.7% increase in the odds of being a high achiever (OR = 1.087), not the probability. Conversely, surface learning (OR = 0.864) and marital status (OR = 0.124) were significant negative factors; each increased the likelihood of an individual achieving a lower level of academic achievement. CONCLUSION: Deep learning and the active cognitive search for meaning have a significant association with academic success for nursing students. This shows that deep learning is significantly more important than achievement motivation or SL. However, a "pedagogical gap" exists as engagement in all three types of learning declines during the last year, demonstrating that maintaining deep engagement is the most important, yet most at-risk, factor for achieving excellence in both clinical and academic practice.

Authors

Institutions

Publication Details

Journal
BMC Nursing
Published
2026-07-16
DOI
https://doi.org/10.1186/s12912-026-05027-7
Primary Topic
Nursing education and management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cross-national analysis of learning approaches, achievement motivation, and academic success among nursing students

Allen Joshua Dominguez, Aida S. Alqarni, Sumathi Robert Shanmugam, Rania A. Zaki et al.
BMC Nursing
Nursing education and management
article

Cross-national analysis of learning approaches, achievement motivation, and academic success among nursing students

Allen Joshua Dominguez, Aida S. Alqarni, Sumathi Robert Shanmugam, Rania A. Zaki, Maysa M. Mohsen, Iman Awad Siddig Mohammed, Kawther Eltayeb Ahmed, Thilagavathi Krishnasamy, Lizy Sonia Benjamin
article en

Abstract

BACKGROUND: Academic success among nursing students is vital for developing the professional skills necessary to ensure the safety and quality of patient care. This study examines the relationship between learning approaches (Deep, Strategic, and Surface), achievement motivation, and academic performance among nursing students. METHODS: This study employed a sample of 770 participants, balanced by country (n = 110 per country) but not by year of study. With 110 nursing students recruited from each of the seven participating countries through a multi-phase process designed to ensure cross-national data integrity. The research was conducted across seven different countries: Egypt, India, Indonesia, Jordan, Oman, Saudi Arabia, and Sudan. The Approaches and Study Skills Inventory for Students, Achievement Motivation Scale and academic performance tools were adopted in this study to assess the study approaches, achievement motivation and academic performance of the nursing students respectively. RESULTS: Deep learning (DL) was found to be the strongest positive factor (p < .001) for predicting high achievement, each unit increase in DL is associated with an 8.7% increase in the odds of being a high achiever (OR = 1.087), not the probability. Conversely, surface learning (OR = 0.864) and marital status (OR = 0.124) were significant negative factors; each increased the likelihood of an individual achieving a lower level of academic achievement. CONCLUSION: Deep learning and the active cognitive search for meaning have a significant association with academic success for nursing students. This shows that deep learning is significantly more important than achievement motivation or SL. However, a "pedagogical gap" exists as engagement in all three types of learning declines during the last year, demonstrating that maintaining deep engagement is the most important, yet most at-risk, factor for achieving excellence in both clinical and academic practice.

BMC Nursing
Princess Nourah bint Abdulrahman University (SA), University of Khartoum (SD), Shaqra University (SA), University of Buraimi (OM), King Khalid University (SA)
Openalex Percentile: Top 8%
Nursing education and management
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.