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Contributors›Karla Badillo-Urquiola
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Assistant Professor

Karla Badillo-Urquiola

She is an Assistant Professor at the University of Notre Dame in the Computer Science and Engineering Department. She earned her Ph.D. at the University of Central Florida's School of Modeling, Simulation, & Training. My research lies at the intersection of Human-Computer Interaction, Psychology, and Social Computing. Her research takes on strength-based approaches to understanding the online experiences of teens, specifically those in foster care situations. Using qualitative and participatory methods, she explore spaces and technologies that support and contribute to the online safety and wellbeing of youth in foster care. As a Latina in STEM, she leverage her interdisciplinary background to mentor students, like herself, on navigating the graduate school process in hopes of helping them find their inner strengths as researchers of color. She strive to serve as a bridge that unites different cultures and she fully bilingual (English-Spanish).

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Contributor Brief·Karla Badillo-Urquiola · 1 article
Updated Aug 16, 2023

AI in classrooms requires strategic deployment, not blanket adoption or rejection

Badillo-Urquiola argues that AI's educational value is contextual—educators must deliberately harness specific AI capabilities to empower students while recognizing domains where human connection and judgment remain irreplaceable. She rejects both uncritical enthusiasm and categorical rejection, instead advocating for discerning integration that matches tool to pedagogical need.

1 insight

The article provides qualitative reasoning but lacks quantitative benchmark data

“Educators can harness AI's benefits while remaining mindful of contexts where human connection matters most.”

Even With Some Cons, AI Should Still Be Used to Empower Students in the Classrooms

Contexts for AI deployment in education: human connection criticality and AI suitability

Administrative tasks & grading automation9
Personalized practice problem generation8
Real-time student feedback & tutoring7
Classroom discussion facilitation4
Mentorship & career guidance2

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30%Administrative tasks
Administrative tasks & grading automation
Personalized practice problem generation
Real-time student feedback & tutoring
Classroom discussion facilitation
+1 more

2 positions

Author rejects both uncritical AI adoption and categorical rejection in education

The strategic choice is not whether to use AI, but where and how deliberately educators deploy it.

Even With Some Cons, AI Should Still Be Used to Empower Students in the Classrooms

Human judgment about pedagogical context must precede every AI implementation decision.

Even With Some Cons, AI Should Still Be Used to Empower Students in the Classrooms

“AI empowers when it handles what humans find repetitive, not what students need to feel.”

Themes:Contextual AI integration over categorical adoptionHuman connection as irreplaceable pedagogical anchorDeliberate tool-to-need matching in education technology

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