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This program is tentative and subject to change.

Fri 28 Feb 2025 10:55 - 11:05 at Meeting Rooms 408-410 - Lightning Talks #2

This lightning talk presents early work surrounding undergraduate students’ experiences in data science and computing classrooms that shape their identities. Identity in learning spaces has been studied extensively in STEM disciplines, but little research has focused on undergraduate students majoring in data science. Since data science sits at the intersection of several disciplines, such as mathematics, statistics, and computer science, it is unclear how data science students navigate those individual discipline identities and/or construct a unique identity that is greater than the sum of those parts. As (Anonymized) University’s computing department offers data science degrees, it is of particular interest to understand the classroom messaging and experiences that shape our students’ sense of self in relation to data science and computing. The project will build on various identity frameworks understand how students’ data science identities are developed or stifled through classroom experiences. From previous research, we know that prototypical identities of STEM center cisgender, heterosexual, white male students and can exclude students from different demographics and lived experiences. To address this, I will utilize a critical lens to interrogate possible inequity, bias, and inaccessibility that may emerge from students’ identity shaping experiences in these classrooms. At the time of this lightning talk, a thematic analysis of the first seven interviews I have conducted will be presented. All are welcome to attend the presentation and provide feedback and insight on initial observations, synthesis, and plans for the future.

This program is tentative and subject to change.

Fri 28 Feb

Displayed time zone: Eastern Time (US & Canada) change

10:45 - 11:55
10:45
10m
Talk
A Joint Taskforce on Undergraduate Data Science Curriculum: An Introduction and Opportunity for Feedback
Lightning Talks
Paul Leidig Grand Valley State University, Maureen Doyle Northern Kentucky University
10:55
10m
Talk
Becoming a Data Scientist: Understanding the Data Science Identity Formation in a Data Science Program
Lightning Talks
Rachel Roca Department of Computational Mathematics, Science, and Engineering; Michigan State University
11:05
10m
Talk
Cognitive Load Dilema: Adding Language Support to CS Curriculum
Lightning Talks
Sofia De Jesus Carnegie Mellon University, Timothy Barnes Carnegie Mellon University, Mark Stehlik Carnegie Mellon University, David Kosbie Carnegie Mellon University, Erin Bozzo Carnegie Mellon University
11:15
10m
Talk
CS Education and Comics: Exploring Art, Representation, and Inspiration in Teaching CS1 and CS2 Curricula
Lightning Talks
Ecy King McGraw Hill/Stanford University Press Author, Ecy King McGraw Hill/Stanford University Press Author
11:25
10m
Talk
I have an Idea that Needs Funding! What’s Next? NOT SO FAQs Regarding NSF and Program Director Engagement
Lightning Talks
11:35
10m
Talk
Shaping the next generation of computing researchers through a year-long immersive undergraduate research experience in socially relevant computing
Lightning Talks
Farzana Rahman Syracuse University
11:45
10m
Talk
Spiral Cultivation of Soft Skills in Computer Science Education
Lightning Talks
Noa Ragonis Beit Berl college