Assistant Director, AI and Learning

Job Details

Title: Assistant Director, AI and Learning, Chicago Center for Teaching and Learning

Job Classification: Scholarly Support, Sr. Analyst, SASCHP2E

Department: Chicago Center for Teaching and Learning

Reports To: Executive Director, Chicago Center for Teaching and Learning

Hours Per Week: 37.5

About the Department

The Chicago Center for Teaching and Learning (CCTL) advances teaching and learning at the University of Chicago by fostering a vibrant community of pedagogical reflection and innovation. The Center is positioned in the College within the New Collegiate Division. The CCTL provides support for faculty, instructors, and graduate and undergraduate students across all disciplines through workshops, conferences, courses, learning communities, and consultation on higher education pedagogy. The CCTL works with schools, divisions, and departments to advise on teaching development initiatives and collaborates with campus partners on developing and enhancing pedagogical programs.

Job Summary

Reporting to the Executive Director and collaborating with CCTL staff and relevant campus partners, the Assistant Director for AI and Learning will design, develop, and implement programming and resources to 1) support faculty and instructors in articulating and implementing effective, appropriate, and evidence-informed pedagogical approaches to AI in their courses, with attention to the potential learning opportunities and challenges presented by AI tools; 2) support the development of innovative teaching practices with AI tools; and 3) support students in the learning-focused and appropriate use of AI tools in their education. With support from the Executive Director, the Assistant Director will build on, enhance, and expand existing AI teaching and learning initiatives at the University, supporting the CCTL in promoting thoughtful, forward-looking approaches to the place of AI in a liberal arts education. The individual in this role will be able to make a significant impact on teaching and learning programs at the CCTL and on AI pedagogy at the University of Chicago. The ideal candidate will be well-versed in AI tools and their implications for teaching and learning in higher education, have experience and interest in designing pedagogical programs and resources, and successful college teaching experience.

Responsibilities

AI and Pedagogy Programming and Resources (70%)

• In collaboration with CCTL staff and relevant campus partners, design, develop, and implement programming and resources on effective, innovative, and evidence-informed pedagogical approaches to AI and related technologies.
• Develop and implement programming and resources to support the design of AI-aware teaching methods and assessment strategies, including rethinking learning goals and assignment design.
• Develop and implement programming and resources to support effective and responsible integration of AI tools into courses, in-class activities, and assessments.
• Develop models and examples of innovative activities and assignments that make use of AI tools.
• Provide consultation support for faculty and instructors on teaching and learning issues related to AI.
• Support divisions, schools, departments, and programs in creating a culture and norms for appropriate AI use based in local disciplinary and curricular values and goals.
• Collaborate with the Writing Program, the College Dean of Students Office, Academic Technology Solutions, the Library, and other partner offices on university-wide efforts to support effective, appropriate, and evidence-informed approaches to AI in teaching and learning.
• Develop and update online resources that support faculty and instructors in making informed choices about the role of AI in their teaching.
• Stay current on advancements in AI technology and the release of AI tools as they relate to teaching and learning in higher education to inform CCTL, College, and University initiatives.
• Stay current on developments in national discussions and the scholarly literature relevant to the teaching and learning implications of AI tools to inform CCTL, College, and University initiatives.
• In collaboration with the Senior Assistant Director of Assessment and Scholarship, provide support for the assessment of AI-aware teaching and learning practices.
• Perform other related duties as assigned.

AI and Learning Programming and Resources (30%)

• In collaboration with the CCTL team and relevant partner offices, develop programming and support for students on learning in the context of AI and responsible use of AI tools.
• Develop and update online resources that support students in making informed, responsible choices about effective, appropriate, and innovative use of AI tools in their learning.
• Consult with relevant College and University offices on best practices for supporting student awareness and responsible use of AI.
• Support and contribute to efforts to assess student attitudes and use of AI in their learning to inform programmatic efforts.
• Perform other related duties as assigned.

Education, Experience, and Certifications

Minimum requirements include a college or university degree in related field.

Minimum requirements include knowledge and skills developed through 2 – 5 years of work experience in a related job discipline, or equivalent combination of education and experience.

Preferred Qualifications

Education:

• PhD or other terminal degree (either in-hand or expected by start date).

Experience:

• Experience in educational development, instructional design, or related field.
• Teaching experience in higher education.
• Experience developing programs, leading workshops, and providing individual consultations.
• Experience working with faculty and instructors at a research-intensive university.
• Comfort in an academic and research-intensive environment.

Preferred Competencies

• Strong understanding of a range of AI tools, a critical appreciation of their pedagogical affordances and limitations, and their potential teaching and learning applications in higher education.
• Strong verbal and written communication skills.
• Strong organizational skills, ability to prioritize and manage concurrent tasks with interruptions.
• Ability to work with faculty and instructors from a variety of disciplines and backgrounds and with a range of perspectives on AI and its impact on learning.
• Demonstrated commitment to advancing innovative and inclusive teaching in higher education.
• Ability to work effectively with supervision and as a part of a team, individually, or in concert with other offices and campus partners.
• Ability to establish good working relationships with people of different backgrounds.
• Ability to work autonomously, taking initiative and without detailed instructions.
• Excellent facilitation, consultation, and collaboration skills.

Working Conditions

• Office environment
• Fast-paced environment
• Some evening and weekend work.
• Ability to sit at a computer for 4-6 hours
• Periodic walking to other campus locations
• Option for working remotely two days a week.

Application Documents

• Cover letter, to include interest in position (required)
• Resume or CV (required)
• List of references (3) (required)
• Teaching Statement (optional)

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.