Accurately analyzing ECG rhythms is a critical competency for nursing students. However, many students fail to achieve an adequate level of knowledge and skill in this area. Therefore, simulation-based learning approaches and innovative, interactive teaching strategies can be effective in improving students' ECG interpretation skills. Furthermore, continuous professional education and hands-on experiences are crucial to ensure the sustainability of these competencies in clinical practice. This study is designed as a randomized controlled trial to determine the effect of simulation-based education on the ECG reading skills of nursing students. The study sample is planned to consist of 60 participants, with 30 in the intervention group and 30 in the control group. Data collection tools will include the Participant Information Form, the ECG Knowledge Test, and the Simulation-Based Learning Evaluation Scale. After administering pre-tests, students will be randomly assigned to the intervention and control groups using a simple randomization method. Both groups will receive ECG training. Following the training, students in the intervention group will receive hands-on, simulation-based ECG training in a simulation lab. In contrast, students in the control group will reinforce their ECG knowledge and skills through interactive games developed using Web 2.0 tools such as Wordwall and Nearpod. After the training, both groups will be tested, and a post-test will be administered in the fourth week to evaluate learning retention and knowledge permanence. As a result of this study, it will be determined whether simulation-based education is more effective than traditional digital methods in enhancing nursing students' ECG knowledge and skill levels.
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ECG Knowledge test
Timeframe: Before ECG training, two weeks after the training, four weeks after the training
Evaluation of Simulation-Based Learning Scale
Timeframe: Before ECG training, two weeks after the training, four weeks after the training
Participant Information Form
Timeframe: Before ECG training