2025 ASEE Annual Conference & Exposition

Improving Undergraduate STEM Education (IUSE) By Engaging Students Using IoT – Addressing AI and Cybersecurity

Presented at NSF Grantees Poster Session I

While Internet of Things (IoT) has become more common in everyday applications and products, many of these same IoT-based applications do not consider cybersecurity issues and associated concerns. In addition, with more access to cloud computing resources and more readily available graphics processing units (GPUs) being utilized for artificial intelligence (AI), AI-based processing continues to disrupt multiple technical fields and associated products. As a result, AI and cybersecurity were identified as areas that need to be introduced or included for the students participating in IoT-based projects.

In this project a team at two Hispanic Serving Institutions (HSIs), Texas A&M University-Kingsville and Texas A&M University-Corpus Christi, has developed new materials addressing the use of AI and taking into account cybersecurity. Using Python and appropriate Python libraries, pre-trained AI algorithms are added to Python coding which will allow more advanced features such as image recognition to be included in the student projects. Information on cybersecurity standards have been added to student project-related materials to introduce the student to an ongoing design and operational concern for IoT-enhanced products and projects. An exercise using AI has been added to the IoT tutorial materials previously developed as part of the work supported by this grant.

Authors
  1. Dr. Lifford McLauchlan Texas A&M University - Kingsville [biography]
  2. Dr. David Hicks Texas A&M University-Kingsville [biography]
Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 22, 2025, and to all visitors after the conference ends on June 25, 2025