Skip to content
MarketScale
Demo
Contributors›Karla Badillo-Urquiola
Karla Badillo-Urquiola photo

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).

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

AI in classrooms requires balanced deployment guided by human judgment.

Badillo-Urquiola argues that AI should be integrated into education to amplify student empowerment and learning outcomes, but only when deployed contextually—recognizing that certain pedagogical moments demand human connection over algorithmic optimization. She advocates for educators to function as informed arbiters of when AI adds value versus when it diminishes the educational experience.

1

article provided limits quantitative data extraction options

“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

Contextual appropriateness of AI deployment in education

Personalized learning path generation9
Automating routine grading tasks8
Real-time student emotional support4
Mentor relationships and mentorship3
Critical thinking dialogue facilitation5

SHARE

31%Personalized learning
Personalized learning path generation
Automating routine grading tasks
Real-time student emotional support
Mentor relationships and mentorship
+1 more

2

competing imperatives AI integration must balance simultaneously

The cons of AI in education exist but should not overshadow its potential to benefit students.

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

Teacher judgment, not algorithmic recommendation, must remain the final arbiter of pedagogical decisions.

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

“AI amplifies human capability only when educators maintain sovereignty over its classroom role.”

Themes:Contextual AI deployment in educationHuman agency as prerequisite for technology integrationBalancing efficiency gains with relational learning needs

What is MarketScale

These experts publish through MarketScale, a content platform that turns industry knowledge into articles, video, and audience. Want the same for your team?