Document Type : Original Article

Researchers

1 Allame Tabatabai university

2 Department of educationa psychology, Faculty of psychology , University of Allameh Tabatabaii, Tehran ,IRAN

3 Department of educational psychology, Faculty of psychology , University of Allameh Tabatabaii, Tehran ,IRAN

IR/ethics.2026.85458.1323

Ministerial Ethics Committee

The ultimate goal of any educational system, including those in the field of healthcare and treatment, is to cultivate specialized professionals who possess ethical commitment, professional competence, and productive self-confidence. However, midwifery education faces several challenges and educational issues, such as a lack of appropriate clinical role models, academic burnout, poor academic performance, and decreased hope and perceived value of midwifery knowledge and profession among students.

Main Objective of study is to design and validate a model-based clinical education package grounded in Watson’s Theory of Human Caring using a reflective teaching approach, and to evaluate its effectiveness on academic self-efficacy, self-worth, and academic responsibility among midwifery students.

This study is an applied semi-experimental research with a pre-test–post-test design and a control group. The study population includes midwifery students at the Islamic Azad University, Chalous branch. The sample will consist of approximately 50–60 third- and fourth-year midwifery students who meet the inclusion criteria and will be randomly assigned to either the intervention or control group. The research setting will be the labor ward of Ayatollah Taleghani Hospital in Chalous.

The study will be conducted in two phases:

Phase One: Design and validation of the model-based clinical education package based on Watson’s Theory of Human Caring using a reflective teaching approach.

Phase Two: Implementation of the intervention and assessment of its effectiveness on the dependent variables using validated questionnaires.

All stages will be conducted in accordance with ethical research principles. Data will be analyzed using paired t-tests and analysis of covariance (ANCOVA).