Internet-of-Things Curriculum, Pedagogy, and Assessment for STEM Education: A Review of Literature

Pramod Abichandani, Vidhusheidhaa Sivakumar, Deepan Lobo, Craig Iaboni, Prateek Shekhar

Research output: Contribution to journalReview articlepeer-review

19 Scopus citations


The exponentially growing Internet of Things (IoT) market presents compelling opportunities for innovators to develop and create meaningful applications affecting everyday life. This shifting IoT paradigm is placing new demands on educational institutions to train students with IoT-relevant skills. Numerous education researchers continue to document the implementation of IoT-based curriculum, pedagogy, and assessment techniques for STEM education. In this paper, we systematically reviewed this literature and identified 60 journal articles and conference papers that have reported implementing IoT curriculum and associated instructional approaches, educational technologies, and assessment strategies for K-12 and university students. The curriculum, pedagogy, and assessment strategies presented in these studies were analyzed in the context of the sensing, networking, services, and interface layers of the IoT technology paradigm. The review identifies best educational practices and synthesizes actionable strategies for educators to implement effective IoT learning experiences for students. These strategies leverage low-cost IoT hardware, open-source IoT software, active learning-based instructional approaches, and direct/indirect assessment methods. As IoT education becomes increasingly pervasive, the review and strategies provided in this paper may serve as a guide for future educational efforts.

Original languageEnglish (US)
Pages (from-to)38351-38369
Number of pages19
JournalIEEE Access
StatePublished - 2022

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Materials Science
  • General Engineering


  • IoT education
  • K-12 education
  • STEM education
  • engineering education


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