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Episode 1: GenAI in Courses & Careers
Episode 1: GenAI in Courses & Careers
I'm excited to launch the CITL Student Quick Takes series, where I'll chat with fellow Illinois students about our learning journeys, course experiences, and career goals! Special thanks to Robert Baird, Senior Associate Director at CITL, for this opportunity and CITL’s support of student voices.
In our debut episode, Arted Gjata (Integrative Biology) and Foziea Garada (Computer Science) discuss how GenAI is reshaping classrooms and careers. We also highlight GenAI projects in Chem 332, CS 341 (Prof. Angrave), and IE 421 (Prof. Lariviere).
Key Takeaway: While AI will serve as an essential tool to increase efficiency and precision, it can never fully replace human professionals in service-based fields like medicine because it lacks the humanity, emotion, and "face-to-face" comfort that people inherently crave when seeking care.
Episode 2: GenAI in Education, Design & Human Resources
Episode 2: GenAI in Education, Design & Human Resources
I'm excited to continue the CITL Student Quick Takes series, where I chat with fellow Illinois students about our learning journeys, course experiences, and career goals! A big thank you to CITL for this opportunity and for supporting student voices in these conversations.
Our second episode explores GenAI's impact across three sectors: Daisy Castro discusses its role in K-12 education, Bruktawit Yigzaw looks at the evolution of digital creativity, and Abby Brown examines how AI is reshaping HR and workplace management.
Key Takeaway: Despite AI's growing role as an essential utility for data and logic, it remains limited by a "humanity gap," lacking the authentic emotion, creative depth, and ethical accountability inherent in human effort.
Episode 3: GenAI in Research, Education, and Student Success
Episode 3: GenAI in Research, Education, and Student Success
In this three-part series, Ryan Ziegler and Eva Lam Redondo dive into the complexities of GenAI. They first tackle the challenges of AI-generated coursework and the need for educational reform (3A), before shifting to the potential for AI and universal WiFi to bridge the global digital divide (3B). We wrap up with essential student advice on networking and the "three key people" every undergrad needs (3C).
Key Takeaway: Even though STEM students view AI as a standard efficiency tool for technical automation, humanities students often approach it with more caution, using it to manage administrative tasks while striving to protect the "humanity" and original thought in their creative and analytical work.
Episode 4: GenAI as Study Partner, TA, and Skeptic
Episode 4: GenAI as Study Partner, TA, and Skeptic
In our fourth episode, we explore the evolving role of GenAI as a student "co-pilot." While students are using AI as a study partner, TA, and debate coach to streamline workflows, they are also hitting the technology's limits when it comes to original creativity and complex problem-solving.
Ivan Akonya (Engineering), Delancy Xiao (Liberal Arts), and Rashmika Kolleri (Business) discuss the practical realities of GenAI. While they find value in AI for data management, study aids, and case studies, they collectively highlight its shortcomings in creative expression, complex math, and original brainstorming.
Key Takeaway: By automating routine tasks like data organization and content drafting, AI is shifting the human role toward a deeper focus on theoretical mastery and ethical gatekeeping to prevent reliance on potentially inaccurate automated outputs.
Episode 5:
Episode 5:
Coming soon!
Episode 6:
Episode 6:
Coming soon!
Summer of AI Session
Summer of AI Session
Presented by Shenika Glover and Dulf Genis, this student voices panel features Jeremy Samuel and Kristelle Dela Cruz sharing their unique perspectives on Generative AI. The session offers an informative look into how students are integrating Gen AI into their educational journeys, personal lives, and career preparations.
Key Takeaway: To prepare for a shifting job market, students and faculty must move beyond "guilt" and embrace AI as a vital teammate, focusing on prompt engineering and essential "human" skills while remaining ethically grounded in transparency and critical verification.
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