Educational Resources for Ideas that Matter: Artificial Intelligence

This page contains education resources for the 2024-25 Ideas That Matter: Artificial Intelligence year.

Fall 2024

Courses

  • CMRD 101: You Look Like a Thing and I Love You by Janelle Shane, AND A Black Story May Contain Sensitive Content byLillian-Yvonne Bertram. 1 cr.

Offered asynchronously online in 3 sections, CRNS 20619, 21041, 21640

  • CURR 316, both sections: Teaching Science & Math to Children, Peter Kalenda. 3 cr T/R, CRN 15713, 15714
    • This course covers contemporary teaching/ learning strategies for mathematics and science instruction in early childhood and elementary classrooms. Instructional techniques integrate hands-on learning, manipulatives, the student’s environment, functional uses of mathematics and science, and assessment strategies appropriate for all students. This year students will work with Generative AI in lesson creations and evaluate the results.
  • ENGL 403 Poetry: AI & Prompt Engineering, Lytton Smith. 4 cr, online, CRN 21783
  • ENTR 100 - Introduction to Entrepreneurship, Mark Rider. 3 cr, MWF 8:30, CRN 21514
    • During our Good Idea and Opportunity module, we will use AI (Co-Pilot) to assist us in brainstorming different business ideas. The main objective of this module is to learn how to leverage AI in identifying market gaps and current trends and testing business ideas against specific criteria.
  • ENTR 310 Social Entrepreneurship, Mark Rider. 3 cr, MWF 2:30, CRN 22227
    • In our Social Entrepreneurship class, we plan to use AI to engage in case studies on social issues from around the globe. Students can access real-time data on various social ventures worldwide, enabling a deeper understanding of the different values and characteristics that drive social impact. We will also use AI to generate solutions for social challenges. AI tools can facilitate brainstorming sessions using divergent and convergent thinking methodologies. These tools can suggest innovative solutions to societal problems by drawing from existing successful strategies and adjusting them to fit the societal challenges they explore
  • ENTR 325 Commercial Ideation, Mark Rider. 3 cr, MWF 12:30, CRN 21515
    • We will implement AI as a coaching tool to help students articulate and refine their purpose and align it with their business strategies through interactive sessions. We will also utilize AI during workshops where students can learn to apply various creative methodologies, like SCAMPER (Substitute, Combine, Adapt, Modify, Put to another use, Eliminate, Reverse) to their original business ideas and then use these enhanced AI insights to generate novel ideas.
  • HONR 206: Technology and Values, Jonathan Auyer. 3 cr, MW 12:30-1:45, CRN 22110 
    • (Topic will be offered as PHIL 203 in the spring)
  • MGMT 355: Production and Operations Mgmt, Michael Tenalio. 3 cr, TR 9:30-10:45, CRN 20020
    • We discuss the corporate use of Predictive Data Analytics and AI in the area of Logistics (best options and alternatives for modes of transportation given routes, costs, cargo, and incoterms) and Global Supply Chain (visibility and planning for inventory by all value chain participants along with blockchain infrastructure). This is an area that will increase in utilization and acceptance as companies improve Information Systems to incorporate machine learning, cloud based systems and quantum computing technologies.
  • PSYC 225: Intro to Cognitive Psychology, Jason Ozubko. 3 cr TR 3:30-4:45, CRN 22218
    • Human cognition relative to the concept of AI will be covered as part of the course
  • PSYC 390, section 4: Psychology and the Digital Everywhere, Cassie Van Stolk-Cooke. 3 cr, MWF 1:30 CRN 21800
    • We will discuss ubiquitous personal technologies and software and their impact on psychological functioning. We will be spending a full module discussing AI (its uses, limitations, and implications).
  • WRTG 105, section 3: The Witch, George Goga. 4 cr M/W 4:30-6:10, CRN 22092
    • AI tools and their history rooted in anthropology of witchcraft/occult/divination
  • WRTG 105, section 13: Conspiracy Theories and Skepticism, David Hahn. 4 cr T/R 2:30-4:10, CRN 22133.
    • Both the concept of Generative AI is full of misinformation which can have bad consequences; as well as the use of Generative AI to purposefully create and spread conspiracy theories and misinformation.

 

Modules and lessons for all faculty to incorporate into courses:

  • AI & Academic Integrity, Max Sparkman and Brandon West, Library
    • An overview of how the use of AI intersects with plagiarism and academic integrity.
  • Generative AI, Conspiracy Theories, & Misinformation, David Hahn, Philosophy
    • Examining the role generative AI plays in creating and spreading conspiracy theories and misinformation
  • Psychology of the Digital Everywhere, Cassie Van Stolk Cooke, Psychology
    • Investigating the cognitive, behavioral and affective promises and pitfalls of AI within the context of ubiquitous personal technologies.
  • Evaluating and Improving AI-Generated Lesson Plans, Peter Kalenda, Education
    • Students evaluate AI-generated lesson plans to determine their strengths and weaknesses regarding learning objectives and diverse learning needs. Generative AI prompts are then modified to improve lesson plan outputs.
  • Can Generative AI Help Solve Functional Illiteracy?, George Goga, English and Education
    • From a historical perspective on AI's relationship with witchcraft and the occult, to the future of teaching in an AI world, this module will examine what changes our society might face.
  • Using AI in Higher Ed: Is It Cheating?, David Levy, Philosophy
    • Students generate a course-based or college-wide policy regarding the use of Generative AI, based on assigned readings, discussion, practice using the tools on writing assignments.
  • Large Language Modules and Literary Research, Paul Schacht English
  • Ethical issues Facing AI, Jonathan Auyer, Philosophy
    • Ethical issues include creativity and free speech, privacy and surveillance, bias and transparency, and accountability. The advances of, and issues facing, AI are happening in real time and thus this module is not intended to be expansive or exhaustive. Rather, it is meant to serve as a starting point; to generate motivation for individuals to think more critically about the hopes we have for AI, as well as the costs that come with it and outcomes we want from it.

Intersession 2024-25

 

Spring 2025

Courses 

  • CMRD 101: You Look Like a Thing and I Love You by Janelle Shane, 2019 AND A Black Story May Contain Sensitive Content by Lillian-Yvonne Bertram. 1 cr
    • Offered asynchronously online in 2 sections
  • CURR 316: Teaching Science & Math to Children, both sections: Peter Kalenda. 3 cr
  • ENGL 340: Literature and Literary Study in the Digital Age, Paul Schacht. 4 cr
  • ENGL 403: AI and Prompt Engineering, Lytton Smith. 4 cr
  • ENTR 100 - Introduction to Entrepreneurship, Mark Rider 3 cr.
    • During our Good Idea and Opportunity module, we will use AI (Co-Pilot) to assist us in brainstorming different business ideas. The main objective of this module is to learn how to leverage AI in identifying market gaps and current trends and testing business ideas against specific criteria.
  • ENTR 200 Entrepreneurial Leadership, Mark Rider. 3 cr
    • For the personal branding module, students will use AI tools to help them create and refine their personal brands. AI will also offer personalized feedback on their branding efforts, ensuring alignment with their professional goals and identity. In this class, AI will be used to develop integrated "Board Room" scenarios in which we explore "Real World" problems to test and try out their leadership skills. We used this in a collective decision-making exercise and a transformational change exercise this year. AI allows each student to take on different personas within the company and see how these things play out when trying to make decisions collectively.
  • ENTR 425 Idea to Venture, Mark Rider. 3 cr
    • In this class, students will primarily use AI for research and business plan development. In the research module of our course, we will learn about various tools and methodologies that can be used strategically to improve the quality and precision of our business research. We will explore the potential of AI in sourcing and analyzing data, which can provide a strong foundation for our research. Additionally, we will discuss the significance of crowdsourcing, as it allows us to compare multiple sources and verify the accuracy of information, thereby enhancing the credibility of our research. 
  • MATH 104: Mathematical Ideas, Doug Baldwin. 3 cr
  • MGMT 355: Production and Operations Mgmt, Michael Tenalio. 3 cr, 
    • We discuss the corporate use of Predictive Data Analytics and AI in the area of Logistics (best options and alternatives for modes of transportation given routes, costs, cargo, and incoterms) and Global Supply Chain (visibility and planning for inventory by all value chain participants along with blockchain infrastructure). This is an area that will increase in utilization and acceptance as companies improve Information Systems to incorporate machine learning, cloud based systems and quantum computing technologies.
  • PHIL 203: Technology and Ethics, Jonathan Auyer. 3 cr

Ideas That Matter Links: