Partners for Algorithmic Literacy
Student-Faculty Learning Community
Are you a Purdue student or instructor interested in creating dialogue on campus about algorithmic technologies – like chatbots and social media platforms – and how they impact the ways we learn and teach? Do you have interest or experience in exploring the ethics, opportunities, and consequences of these technologies in educational and social participation?
In the Partners for Algorithmic Literacy (PAL) Student-Faculty Learning Community, Purdue students and instructors will learn and work alongside one another to build inclusive educational spaces in an age of algorithmically mediated information and learning.
Take advantage of a collaborative, supportive space to explore best practices of teaching and learning within the reality of AI technologies. Ask questions, share ideas, and take part in groundbreaking work where, as partners, teachers and learners co-design curricular plans for ethically navigating and making informed decisions about AI in Purdue classes. PAL is a unique and valuable opportunity to gain experience shifting the way we think about learning so respect, mutual benefit, and shared responsibility can be cultivated between faculty and students, informed by the lived experiences and expertise of both perspectives.
Apply to participate in the Fall 2024 learning community here! We will be accepting applications until Sunday, Sept. 15 at 11:59 pm.
If you have questions or would like more information about the program, contact Samantha LeGrand – legrands@purdue.edu.
Required Qualifications
- Any Purdue faculty, instructional staff, or undergraduate student (graduating no sooner than Spring 2025)
- Interest in information literacy, algorithms/AI, teaching and learning best practice, leadership, or experiential and participatory education
- Ability to dedicate 2-3 hours per week to PAL activities, in and out of sessions
- Desire to work on a dynamic team of students and instructors, listen actively and respectfully, and contribute through collaboration and shared decision-making
- While not a requirement, we find it helpful for students to be in their second or third year in college (does not have to be your second or third year specifically at Purdue)
Program Details
- 6-week program with one in-person learning community session per week, with individual reflection and outside group work
- Total estimated 15-18 hour time commitment over the entire program (2-3 hours per week)
- Stipend provided for all participants
- Build relationships with Purdue students and instructors as you co-learn and discuss algorithmic literacy and pedagogical practices
- Co-design classroom solutions to make the most of the opportunities AI presents
- Further opportunities available to present talks, workshops, and trainings to share your experience with other Purdue faculty, staff, and students
Fall 2023 PAL Cohort
Deverieux Coleman
Economics, Political Science
Cindy Harwood
Chemistry
Anaelle Gackiere
Psychological Sciences, Biological Anthropology
Zoeanna Mayhook
Libraries and School of Information Studies
Bek Hamelin
Anthropology
Jenny Bay
English, Experiential Education
Seb Herrera
Psychological Sciences
Jung Joo Sohn
Art & Design, Industrial Design
Samuel Strom
Psychological Sciences
Beatriz Castro Bohorquez
Biological Sciences
Alek Wisinski
Political Science, History
Tawfiq Salem
Computer and Information Technology
Reasons to Join PAL
Shape the direction of teaching and learning at Purdue
Strengthen the relationship between students and instructors on campus
Build your network and experience unique, barrier-breaking professional development
Learn from different perspectives and expand your knowledge