ET Talk: Student Perspective, AI Literacy, and the Campus Future
Episode 4 brings a student developer into the ET Talk AI conversation to examine literacy, model choice, creativity, and the future of AI platforms at UT Austin.
In Episode 4 of ET Talk, Cole Camplese and Mario Guerra are joined by freshman aerospace engineering major and AI Studio student developer Nikhil Battapati for a conversation about how students are using AI tools today and why AI literacy is becoming a core academic skill.
A student perspective changes the AI conversation
Episode 4 of ET Talk continues the series on AI strategy at UT Austin, but with a valuable shift in perspective. Cole Camplese and Mario Guerra are joined by Nikhil Battapati, a freshman aerospace engineering major and student developer working with UT's AI Studio, to explore how students are actually engaging with AI tools right now.
That matters because campus AI strategy cannot be shaped only from the administrative or platform side. It also has to account for how students evaluate tools, where they find value, and what kind of support helps them use AI thoughtfully.
AI literacy is becoming a core academic skill
A major theme in the episode is AI literacy. The conversation frames literacy as more than prompt tricks or product familiarity. It is about understanding how different models behave, when one tool is a better fit than another, and how to work with AI without outsourcing judgment.
That is an important framing for teaching and learning. As AI becomes more common in academic work, students and faculty need a more durable skill set that includes evaluation, comparison, and critical use.
- Choosing the right model for the task instead of treating all AI tools as interchangeable
- Using AI to extend learning without displacing creativity or critical thinking
- Understanding interoperability across platforms, models, and student-built tools
Campus platforms, experimentation, and the future
The discussion also looks ahead at the role of campus platforms such as UT Spark and UT Sage, along with the growing importance of student-built tools and AI Studio work. That combination of institutional platforms and hands-on experimentation signals where the next phase of campus AI maturity may be heading.
What comes through clearly is that collaboration will shape that future. Students, faculty, and IT leaders all have a role in determining how AI shows up in classrooms, workflows, and university-supported services.
Why this episode matters for the ET Talk series
Episode 4 gives the ET Talk series a stronger academic and student-centered dimension. It expands the series beyond organizational strategy and platform design into the lived experience of using AI for real learning and building work on campus.
That makes this episode a strong fit for the newsroom model: it is a media page, but it also works as a concise editorial summary of how UT's AI conversation is broadening.