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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

    Available payment methods are:

    • Credit Card (Mastercard or Visa)
    • CPD General Points  
    • Campus Check
    • Journal Transfer

    CPD General/Technical Points: To pay with CPD General or Technical Points, your campus must be a CPD Member. Check if your campus is a member. It is the responsibility of the registrant to determine if enough points are available to use BEFORE completing the registration process. Please contact your Campus Points Contact to determine points eligibility.  If points are denied, the registrant is responsible for the payment.  

    Campus Check: Prior campus approval is required. Make check payable to SUNY Center for Professional Development. Mail to SUNY CPD at the address below. 

    Journal Transfer (State Operated Campuses Only): Prior campus approval is required. An account number with authorizing signature for Journal Transfers is required within 48 hours. You must print and return the invoice that is included with the registration confirmation email.

    Important: FULL payment is required 30 days from the date of registration.

    Registration

    Fall 2024 Course Dates – Register for the Fall 2024 Course 

    • Course 1: Introduction to Artificial Intelligence (AI) for Higher Education                             August 27 – October 7, 2024
    • Course 2: Using Artificial Intelligence (AI) Effectively in Teaching and Learning                    October 15 – November 25, 2024

    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