This 20223/2024 Grant program is now closed. Many thanks to the faculty for all of the thoughtful curricular work incorporating AI into courses and programs.
To support faculty interest in incorporating Artificial Intelligence (AI) into current and emergent academic offerings, the Provost’s Office invites proposals for Curricular Development Grants on AI. Curricular Development Grants acknowledge that adapting existing courses or designing new courses to address new areas and integrations can be resource- and time-intensive. These grants provide stipends to encourage and support this process.
Faculty working alone or in teams are invited to apply with projects that address any of the following or related goals to foster the creation of new courses or modules within existing courses that address AI.
Goals
- Provide students with enhanced learning experiences, significant technological knowledge, and preparation for the challenges and opportunities presented by AI-driven tools across diverse fields and contexts
- Initiate a curricular project on AI with a broader curricular impact in mind (e.g., the development of a new curricular focus within or across disciplines)
- Engage students in critical reflection about AI
Awards
Individuals working alone or in teams on selected projects will be awarded supplemental pay of $2,400 each.
Successful award proposals might include, but would not be limited to, curricular development of modules or courses that direct student learning toward:
- Research, development, design, redesign, innovation or application of AI tools or technologies
- Integration of AI tools to produce assignments or projects within or across disciplines
- Integration of substantial readings and discussions of AI technology
- Integration of substantial readings and discussions of ethics and impacts of AI technology
- Making connections between AI and SCU’s mission and vision for Jesuit education and values to create a more humane, just, and sustainable world
Timeline
- Proposals will be reviewed and grants awarded on a rolling basis between September 1 and October 30, 2023 depending on the availability of funding, with priority given to early proposals.
- Award decisions will occur within 3 weeks of submission of proposals throughout the fall term.
- Award stipends will be processed upon project completion, including the submission of new module or course design by September 1, 2024.
Faculty Learning Community / Collaboration
Award recipients will meet quarterly to share progress and exchange ideas.
Next Steps
This 2023/2024 Grant program is now closed.
Proposals should be no more than 3 pages and should include:
(1) Names/ Departments/ emails of faculty participants
(2) Project title and general description. Please address these questions:
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- What curricular questions or concerns guide the project?
- How will the proposed project specifically address and advance one or more of the concerns noted in the grant description?
- How will you assess the effectiveness of the new module or course?
- Describe the relevant experience and context applicants bring to the project.
- What collaborations, if any, will you need to pursue this project?
- What tangible outcomes (course module, new or redesigned course) are expected to result from this project?
(3) Timetable
(4) Relevance to past and future teaching or research
(5) Request for stipend(s). A limit of one per faculty member on the project, with no more than 4 total stipends for any single project.
(6) Brief curriculum vitae for each applicant (2 page maximum). The brief CV should emphasize qualifications, training, publications, awards, grants, and other data related to the project.
Proposed research that entails the use of human subjects, laboratory animals, radiological hazards, biohazards, or recombinant DNA must comply with University policies. Please consult the SCU Office of Research Compliance and Integrity webpage for more information. If compliance committee approval is needed for a project, then such approval must be obtained before any grant is awarded.
Note that faculty can receive an upper limit of $12K in combined stipends from research and curricular innovation awards from the Provost’s Office.
The applicants(s) submit a proposal and current CV(s). Please submit your application via email to the Collaborative for Teaching Innovation.
These proposals will be evaluated by faculty representatives from the Collaborative for Teaching Innovation, who will consider these criteria: the quality of the proposal, alignment with concerns articulated in the description of the awards, feasibility of the project, and potential impact, including the likelihood that this support will lead to impactful curricular change.
The following projects are approved to receive funding from the AI Curricular Development grant:
College of Arts and Sciences
- AI Challenges and Opportunities in CTW and ENGL 181, Theresa Conefrey
- AI & College Writing - In the Classroom & In an OER, David Coad, Jackie Hendricks, Amy Lueck, Loring Pfeiffer, and Maura Tarnoff
- Balancing Innovation and Integrity: Navigating the Challenges of AI in Communication Education, Melissa Brown
- Exploring the Role of AI in Educational Reform through Developing Social-Emotional Learning Lessons for Middle School Classrooms, Elizabeth Day
- Looking Backward with AI: Using ChatGPT and generative AI in the History Classroom, Naomi Andrews and Meg Gudgeirsson
- Transforming the Advanced Mandarin Chinese courses with AI tools, Hsin-hung (Sean) Yeh
- Using AI to Foster Learning and Understanding of Research Methods and Statistics, Lang Chen, Birgit Koopmann-Holm, and Tim Urdan
Leavey School of Business
- AI for Business, Xiaojing Dong
- AI and Critical Thinking in Managerial Accounting, Haoning Richter
- Applying Artificial Intelligence (AI) in Marketing: Trends, Applications, and Social Implications, Juan Montermoso
- Artificial intelligence, economic growth, and inequality, Helen Popper
- Developing a Graduate Course on AI Risks and Governance, Michael Santoro and Haibing Lu
- Econ 4: Existential Threats to Humanity from the Perspective of Silicon Valley, Michael Kevane
- Generative AI and Business, Jennifer Woolley
- Incorporating Generative AI into Data Science Courses, Tao Li, Wilson Lin, Yu-Wei Lin, and Michele Samorani
- Intellectual Property and AI, Christian Helmers
- Preparing Future Accountants for the Digital Age: Introduction to Artificial Intelligence in Accounting Information Systems, Vincent (Qiru) Zhang
School of Education & Counseling Psychology
- Artificial Intelligence and Psychotherapy, Xiaochen Luo
School of Engineering
- Empowering Engineers: A Course on Practical Machine Learning in Engineering, Fatemeh Davoudi and Rocio L. Segura
- Tech Ethics and Curricular Development: AI and Emergent Information Literacies in University Education, Katia Moles and Laura Robinson
School of Law
- New AI Module in the class “Law and Technology of Silicon Valley”, Linsey Krolik and Jen Stefanski
Questions? Please contact the Collaborative for Teaching Innovation or Christine Bachen, Nancy Cutler, or Eileen Elrod (Co-Directors of the Collaborative for Teaching Innovation).