4 citations · 4 across the 5 of their papers we have counts for
8 papers
WIP: DBWorkout: A Gamified SQL Practice Platform to Support Formative Learning in Database Courses
Sehrish Basir Nizamani, Deepika Devaraj, Tien Nguyen +4
This research WIP paper presents DBWorkout, a web-based platform that supports formative SQL learning through sandbox-based execution, automated result-based feedback, and session-…
Understanding Student Use of Large Language Models Across Computer Science Subfields
Sehrish Basir Nizamani, Yoonje Lee, Nikitha Donekal Chandrashekar +2
This research full paper examines how undergraduate students use large language models (LLMs) across computer science subfields. As LLMs become increasingly integrated into computi…
Virtual Global Collaboration in Data Analytics and Machine Learning Education: A Mixed-Methods Study of Asynchronous Cross-Border Teamwork
Sehrish Basir Nizamani, Saad Nizamani, Khyati Goyal +2
This innovative practice full paper examines a structured Virtual Global Collaboration (VGC) activity between undergraduate computing courses in the United States and Pakistan. The…
Less Deliberate in Teams: Student LLM Use Across Individual and Collaborative Work
Sehrish Basir Nizamani, Zannah Ziew, Saad Nizamani +1
As large language models (LLMs) become common in computing courses, we need to understand how the social setting shapes how students use them. This paper reports findings from a se…
Demystify, Use, Reflect, Assess (DURA): An Experience Report on LLM Integration in CS2
Margaret Ellis, Nikitha Donekal Chandrashekar, Sehrish Basir Nizamani +3
Student access to Large Language Models (LLMs) is reshaping learning behaviors; at the same time students are entering the workforce where effective LLM use is becoming an expected…
Can LLMs Reason About Attention? Towards Zero-Shot Analysis of Multimodal Classroom Behavior
Nolan Platt, Sehrish Nizamani, Alp Tural +5
Understanding student engagement usually requires time-consuming manual observation or invasive recording that raises privacy concerns. We present a privacy-preserving pipeline tha…
Catching UX Flaws in Code: Leveraging LLMs to Identify Usability Flaws at the Development Stage
Nolan Platt, Ethan Luchs, Sehrish Nizamani
Usability evaluations are essential for ensuring that modern interfaces meet user needs, yet traditional heuristic evaluations by human experts can be time-consuming and subjective…
Demystify, Use, Reflect: Preparing students to be informed LLM-users
Nikitha Donekal Chandrashekar, Sehrish Basir Nizamani, Margaret Ellis +1
We transitioned our post-CS1 course that introduces various subfields of computer science so that it integrates Large Language Models (LLMs) in a structured, critical, and practica…