Internet of Things and Machine Learning Competencies in IS Curricula: Advocating for Incremental Evolution of Core Courses Academic Article uri icon

Abstract

  • The Internet of Things (IoT) and Machine Learning (ML) are considered two important components of the current wave of digital transformation. Yet most IS curricula do not establish a consistent ground for students to develop related competencies through program-level plans. While the distinction between fads and fundamentals has long been a challenge for the constantly changing IS field, the discipline clearly must bear a portion of the responsibility to prepare students for new job roles in the 21st century.
    In the current paper, we advocate for an evolutionary approach to curriculum development that combines foundational knowledge with the skills required for roles in ML and IoT. We propose to evolve the typical IS-core courses and present an exemplary 4-week module to enhance the introductory database course by adding IoT and ML concepts and competencies. Based on the IS2020 curriculum (Leidig & Salmela, 2021), we identify areas where these two topics can be incorporated into the curriculum core competencies and place them within the framework of one of the accreditation bodies
    for computing programs

Publication Date

  • 2023-11-01