CREATING AND ASSESSING A NURSING EDUCATIONAL BOOKLET FOR ENHANCING SELF-DIRECTED LEARNING

In response to evolving educational paradigms, there has been a significant shift in nursing education from traditional, teacher-centered methods to more dynamic, student-driven approaches such as self-directed learning (SDL). This transition aligns with global trends emphasizing deep learning, autonomy, and lifelong learning. Nursing education, by its nature, is structured to equip students with the knowledge, skills, and values required to deliver holistic care to diverse patient populations. SDL enhances this process by empowering students to take responsibility for their own learning, thereby fostering professional growth and clinical competence. SDL refers to an individual's ability to plan, identify resources, and adopt appropriate learning strategies to meet personal educational goals. It is associated with key learner characteristics such as intrinsic motivation, persistence, diligence, veracity, and conscientiousness. Over time, various terms have been used to describe SDL, including autonomous learning, self-initiated learning, independent learning, and self-teaching. As such, integrating SDL into nursing curricula has become essential for preparing students to thrive in increasingly complex healthcare environments. This study explores the development and assessment of an educational booklet designed to support SDL in nursing education. The booklet aims to guide students in becoming more proactive and reflective learners, ultimately enhancing their clinical and academic performance

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-02
DOI
https://doi.org/10.5281/zenodo.15575126
Primary Topic
Innovative Teaching Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CREATING AND ASSESSING A NURSING EDUCATIONAL BOOKLET FOR ENHANCING SELF-DIRECTED LEARNING

Zenodo (CERN European Organization for Nuclear Research)
Innovative Teaching Methods
article

CREATING AND ASSESSING A NURSING EDUCATIONAL BOOKLET FOR ENHANCING SELF-DIRECTED LEARNING

article en

Abstract

In response to evolving educational paradigms, there has been a significant shift in nursing education from traditional, teacher-centered methods to more dynamic, student-driven approaches such as self-directed learning (SDL). This transition aligns with global trends emphasizing deep learning, autonomy, and lifelong learning. Nursing education, by its nature, is structured to equip students with the knowledge, skills, and values required to deliver holistic care to diverse patient populations. SDL enhances this process by empowering students to take responsibility for their own learning, thereby fostering professional growth and clinical competence. SDL refers to an individual's ability to plan, identify resources, and adopt appropriate learning strategies to meet personal educational goals. It is associated with key learner characteristics such as intrinsic motivation, persistence, diligence, veracity, and conscientiousness. Over time, various terms have been used to describe SDL, including autonomous learning, self-initiated learning, independent learning, and self-teaching. As such, integrating SDL into nursing curricula has become essential for preparing students to thrive in increasingly complex healthcare environments. This study explores the development and assessment of an educational booklet designed to support SDL in nursing education. The booklet aims to guide students in becoming more proactive and reflective learners, ultimately enhancing their clinical and academic performance

Zenodo (CERN European Organization for Nuclear Research)
Mansoura University (EG)
Quality Education
Openalex Percentile: Top 40%
Innovative Teaching Methods
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.