Evaluating the Effectiveness of Educational Tools in Medical Physics Education: A Medical Students' Survey 2026

This dataset contains the results of a survey conducted among medical students to evaluate the effectiveness of various educational tools on their perception, motivation, and understanding of Medical Physics and Biomedical Engineering. The integration of practical educational activities (project work, hackathons, and scientific conferences) was analyzed to identify their impact on bridging the gap between fundamental physics principles and clinical practice. Target Audience: Medical students who completed a specialized course in Medical and Biological Physics (1st course)- Sample Size: 95 respondents.- Survey Period: May 2026.- Data Format: The dataset is provided in an Excel (.xlsx) format. All column headers and standardized responses have been translated into English for international accessibility. Structure of the DatasetThe survey instrument utilized a combination of binary questions, Likert scales (1–5 rating sheets), and open-ended text questions, covering the following key blocks:1. Prior Participation: Students' background in research groups, STEM/EdTech projects, and hackathons.2. Understanding of Medical Technologies: Self-assessment of physical principles behind MRI, CT, PET, ultrasound, biomedical sensors, lasers, and nuclear medicine.3. Attitude and Agreement Statements: Perception of the relationship between physics and clinical practice, the role of AI, and future multidisciplinary collaboration.4. Effectiveness of Educational Tools: Evaluation of popular science materials, video demonstrations, digital platforms, and teamwork on interdisciplinary projects.5. Post-Course Impact: Changes in motivation, interest in scientific research, and perceived readiness to operate high-tech medical equipment.6. Open-Ended Feedback: Qualitative responses regarding missing technologies in current education and suggestions for curriculum improvement. Usage NotesThis dataset is fully anonymized to protect participants' privacy. It can be used by researchers in medical education, curriculum developers, and medical physics instructors to optimize teaching methodologies and integrate MedTech innovations into healthcare training.