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Artificial Intelligence in Higher Education 

The purpose of the Artificial Intelligence in Higher Education courses is to address the emergence and role of artificial intelligence (AI) in higher education. The purpose of these courses is to help staff and faculty learn about how AI impacts teaching, learning, enrollment, retention, and student success. The courses should also help the participants learn the competencies (knowledge and skills) needed to take AI into account in their roles as instructors, administrators, or staff members. 

There are 2 online asynchronous courses. The courses are 6 weeks in length each, and they contain approximately 3 to 5 hours of work each week. The courses are interactive with instructor feedback to participants and capped at 20 registrants. 

Courses may be taken individually or in tandem. The recommended order is Course 1 followed by Course 2, however, these courses are designed to stand alone. A digital badge will be awarded for the completion of each course. 

Course Details

Course 1: Introduction to Artificial Intelligence (AI) for Higher Education

Instructor: Jackie Zkaib

Target audience: All staff, administrators, and instructors working in higher education 

Those who complete this course will be able to:

  • Understand the history and evolution of artificial intelligence tools
  • Explore and understand basic AI concepts: how AI tools work and their applications in higher education
  • Assess the benefits, risks, and ethical implications of AI in higher education, considering academic integrity, social justice, access, and privacy

    Suggested textbook: Robot-Proof: Higher Education in the Age of Artificial Intelligence (2018) by Joseph E. Aoun. ISBN 9780262535977 Paperback on Amazon $13.52 Kindle $11.74


Course 2: Using Artificial Intelligence (AI) Effectively in Teaching and Learning

Instructor: Allison Hosier

Target audience: Higher education instructors or those who support teaching and learning(teaching and learning center staff, instructional designers, librarians, etc.)

Those who complete this course will be able to:

  • Understand the implications of AI tools for teaching and learning in higher education -especially as it relates to ethics and academic integrity (course policies, AI detection tools, ethical versus unethical uses of generative AI, etc.)
  • Identify how AI concepts, tools, and applications can cultivate student-driven learning
  • Evaluate examples (good and bad) of how to redesign courses and assignments, taking AI into account
  • Redesign their own courses and assignments through experimentation with AI tools

    Meet the Instructors

    Jackie Zkiab

    A native Clevelander, Jacqueline Zkiab is a graduate of John Carroll University, where she earned a Bachelor of Science in Psychology with a Concentration in Human Development and Minor in Communication Studies. Ms. Zkiab continued her education at Cleveland State University, where she earned a Master of Arts in Philosophy and Certificate for the Advanced Studies in Biomedical Ethics and found her passion for Higher Education.  Following graduation, she joined Cuyahoga Community College (Tri-C) as an Adjunct Professor of Philosophy, and was ultimately teaching at both Tri-C and Cleveland State University from 2019-2021, until accepting a Lectureship at Tri-C. During this time, Ms. Zkiab taught in all modalities, and successfully converted her courses to an online platform, ensuring accessibility for all students.  She has since worked in Online Learning and Academic Technology with faculty and students.  In her current role as Instructional Technologist, Ms. Zkiab is the artificial intelligence (AI) lead College-wide and is co-chair of the group on Faculty Development for their AI Task Force.  Ms. Zkiab is excited to join SUNY and share her expertise and experience with us.

    Allison Hosier

    Allison Hosier has been teaching information literacy in various face-to-face and virtual formats since 2009. She is currently the Head of Information Literacy at the University at Albany, SUNY as well as a co-editor of the journal Communications in Information Literacy. As a scholar, Allison pursues knowledge about how context affects the research process and has published and presented on this topic in a variety of prestigious venues in the library and information science field as well as in her recent book Using Context in Information Literacy Instruction. Recently, Allison has been exploring generative artificial intelligence through an information literacy lens and has hosted a series of webinars related to generative AI including AI at UAlbany and The Role of Generative AI in Library and Information Science Publishing. Allison is excited for her thinking on generative AI to continue to grow and evolve alongside yours through these SUNY learning opportunities.

    Course Pricing

    CPD Member

    $300 Per Course

    Discounted course pricing is available when registering for two courses at one time

    $260 per course 

    Non-CPD Member

    $350 Per Course

    Discounted course pricing is available when registering for two courses at one time 

    $310 per course 

    Non-SUNY

    $400 Per Course

    Discounted course pricing is available when registering for two courses at one time

    $360 per course 


    How to Pay

    Payment Terms

    • Full payment is required within 30 days of registration. If the campus intends to cover the registration fee, prior approval must be obtained; otherwise, the registrant remains responsible for payment should the selected method be denied. 
    • Completion badges will not be issued until full payment has been received. 

    FULL payment is required 30 days from the date of registration. If the campus denies the selected payment method, the registrant will be responsible for payment. 

        Cancel/Drop Period

        Registrants must utilize the course cancellation form (linked in the registration confirmation email) to be officially cancelled from the program. 

        • If you registered for all of the program courses to receive a full refund you MUST cancel no later than the end of the first week (Sunday) of EACH course. 
        • For multi-course registrations that include a discounted rate, cancellation will result in forfeiture of the discount, and standard course fees will apply. 

        Table indicating CPD Course Liability. For more information - please email CPDInfo@suny.edu

        No Shows

        Programs have limited space and tend to fill to capacity. Individuals registered have reserved a space in the program. Registrants who do not attend will be charged the full registration fee. Refunds will not be issued for any registration in which a no show occurs, and written cancellation was not received prior to the event. 

        Click to view SUNY CPD Terms & Conditions Policy.

        Click to view SUNY Refund Policy.

        Registration

        Spring 2025 & Fall 2025 Course Dates

        • SPRING 2025
          • Introduction to Artificial Intelligence (AI) for Higher Education (CANCELED)                March 18th-April 28, 2025
          • Using Artificial Intelligence (AI) Effectively in Teaching and Learning                   May 13th-June 26th, 2025    
        • FALL 2025  
          • Introduction to Artificial Intelligence (AI) for Higher Education               August 12th-September 22nd, 2025 
          • Using Artificial Intelligence (AI) Effectively in Teaching and Learning      October 7th-November 17th, 2025

        Contact Us

        For programming questions, please contact Jamie Heron, SUNY Online Program Manager at jamie.heron@suny.edu. For registration questions, please contact Alli Guzman-Martinez, SUNY CPD Program Coordinator at alli.guzmanmartinez@suny.edu.

        The SUNY Center for Professional Development (CPD) supports a wide range of professional development opportunities for the academic, technical, and leadership communities across the SUNY System.

        Phone: 315-214-2440