MELODY: A Platform-agnostic Model for building and evaluating Remote Labs of Software-Defined Radio Technology

Abstract

This dissertation introduces the MELODY model, a comprehensive framework for developing, implementing, and evaluating remote laboratories based on Software Defined Radio (SDR) technology, which is gaining increasing traction in engineering education. MELODY integrates both software and hardware components in a layered approach designed to enhance the functionality and integration across various system elements, focusing on fostering educational accessibility and pedagogical effectiveness. The dissertation details the architectural structure and technical features of SDR technology as applied in remote laboratory settings, highlighting key aspects such as network types, user requirements, equipment costs, and interoperability. It outlines a classification framework within the MELODY model, aimed at evaluating and improving features such as lab scalability, interoperability, and accessibility. Developed on an open-source and agnostic platform, this framework promotes compatibility across a variety of hardware and software environments, enhancing flexibility for both educators and students. The MELODY model’s classification system assesses laboratories using metrics including isolation, characterization, scalability, interoperability, and accessibility, which are all based on engineering standards. Through three distinct case studies, this research demonstrates the practical application and pedagogical effectiveness of the MELODY model in different educational contexts. The RHL-RELIA lab illustrates the model's implementation in radio communications, providing detailed insights into its development and the pedagogical evaluations conducted. The RHL-RADAR lab applies the MELODY model to develop a continuous wave radar system, emphasizing the model’s adaptability and scalability. Lastly, a study focused on mitigating digital inequalities utilizes surveys and focus groups to integrate user feedback into the model, ensuring equitable access to remote lab resources. These case studies collectively reflect the model's capacity to adapt to diverse educational needs and its significant role in enhancing educational outcomes by addressing both technological and equity challenges. Looking ahead, this dissertation outlines potential directions for further research and broader application of the MELODY model across various disciplines and regions. The continued development of this model seeks to address the ongoing challenges between technological advancements and educational equity, with the goal of fostering more inclusive and effective learning environments worldwide. Future efforts will build on the groundwork established by this dissertation to enhance and expand the capabilities of remote laboratories. This will ensure that the MELODY model remains a benchmark in the ongoing evolution of educational technologies.