Design and development of M@SmarT application

: The M@SmarT application aims to revolutionize mathematics education through innovative technology and pedagogical approaches. This study employs a comprehensive research methodology comprising three phases to develop and evaluate the application's effectiveness. In Phase 1, in-depth interviews with experts in mathematics education provide valuable insights and recommendations for the application's design and development. These interviews ensure that the application addresses the specific needs and challenges faced by students in the target demographic. Phase 2 utilizes the Fuzzy Delphi Method (FDM) to establish consensus among a panel of subject matter experts. This method allows for a systematic evaluation and validation of the application's content, constructs, and features. The input and expertise of the expert panel contribute to refining and enhancing the educational value and effectiveness of the application. Phase 3 involves interviews and a comprehensive survey to evaluate the impact and usability of the M@SmarT application. A quasi-experimental study is conducted, comparing the performance of the treatment group using the application with the control group. This evaluation phase provides valuable insights into the application's effectiveness in improving student engagement, learning outcomes, and overall learning. The findings suggest that the M@SmarT application has the potential to transform mathematics education by providing an interactive and personalized learning experience. Moreover, the research methodology and insights gained from this study can inform the development of similar educational technology tools in other subject areas. In conclusion, the M@SmarT application represents a significant advancement in mathematics education, leveraging technology, expert insights, and rigorous evaluation to enhance student engagement and learning outcomes. This research contributes to the broader field of educational technology, providing a roadmap for the design, development, and evaluation of innovative learning applications.