Training Program for an Internet-Of-Things Assembler: A Curricular Innovation

Abstract

The Internet of Things (IoT) has revolutionized our interaction with objects, from daily items to industrial systems, creating a demand for skilled IoT assemblers. To address this need, a training program titled "Training Program for an Internet-of-Things Assembler: A Curricular Innovation" was developed, aiming to enhance competencies in IoT assembly. The study delves into pivotal competencies for IoT professionals, offering insights for upskilling in the domain. The IoT Training Program equips trainees with interdisciplinary proficiencies for prototyping robust IoT solutions and orchestrating end-to-end systems. Curricular innovation's significance in tackling education challenges in the digital age is underscored. Employing Research & Development (R&D) design, the study followed the Analysis, Design, Development, Implementation, Evaluation (ADDIE) methodology. The "Research" phase identified fundamental competencies for IoT assemblers through Computational Topic Modeling and Latent Dirichlet Allocation (LDA). The "Development" phase encompassed Design, Development, Implementation, and Evaluation. A comprehensive training program was created and assessed. A validated survey questionnaire gauged participants’ perception of implementation, revealing the program's efficacy. Results highlighted the program's impact, enhancing IoT assemblers' skills in assembling/disassembling IoT devices, applying competencies, and using cloud services over IP networks. Integration of Computational Topic Modeling with LDA effectively identified pivotal competencies, enabling significant skill enhancement and integration into the transformative IoT field. The study's insights facilitate continuous innovation in IoT assembly through ongoing refinement of the training program. The study underscores curricular innovation's importance in addressing education challenges in the digital era, paving the way for proficient IoT professionals.