Development and Evaluation of a Mobile Learning Application in Computed Tomography Imaging Techniques for Radiological Technology Students
DOI:
https://doi.org/10.64960/srimedj.v41i2.267594Keywords:
radiological technology students, application, computed tomography, radiological techniquesAbstract
Background and Objectives: Computed tomography (CT) is a widely used technology in diagnostic radiology, and radiologic technology students must acquire sufficient knowledge and practical skills to operate it properly. However, CT equipment is expensive and has limited availability, resulting in insufficient opportunities for hands-on practice. Developing a mobile application to support learning in CT imaging techniques could enhance access to knowledge and promote ongoing self-guided learning. This study aimed to develop such a mobile application, evaluate its functionality, and assess radiological technology students’ satisfaction with its use.
Methods: The application was developed using the Thunkable web-based platform. Its effectiveness and user satisfaction were evaluated across four dimensions: design, content, usability, and overall performance. Satisfaction was assessed using a Likert-scale questionnaire. The sample included 32 fourth-year radiologic technology students from Navamindradhiraj University.
Results: The developed VJR RTtech CT application performed effectively, showing proper installation and display performance in accordance with the testing criteria. The average scores for design, content, usability, and application performance were 4.38 ± 0.93, 4.50 ± 0.60, 4.47 ± 0.73, and 4.38 ± 0.70, respectively. The overall evaluation across all four dimensions indicated the highest level of satisfaction, with a mean score of 4.43 ± 0.74.
Conclusion: The developed application satisfied the specified performance standards, demonstrating successful installation and correct display across various mobile devices. The content was regarded as useful and practical, enhancing radiological technology students' knowledge of computed tomography imaging techniques. Overall, user satisfaction received the highest rating.
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