8 citations · 10 across the 9 of their papers we have counts for
11 papers
Agreement Is Not Quality: Blind Expert Verification of Human and LLM Qualitative Coding When Human Consensus Is Not Ground Truth
Alex Liu, Lief Esbenshade, Michael Xiao +4
Evaluations of LLM-assisted qualitative coding almost universally measure model performance as agreement with human coders, a practice that presumes human coding is the standard to…
Human-LLM Collaborative Inductive Coding for Conceptualizing K-12 Educator AI Use
Alex Liu, Min Sun, Lief Esbenshade +4
Qualitative researchers increasingly encounter interaction corpora whose scale exceeds what manual coding alone can address, and large language models (LLMs) are frequently propose…
Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering
Zewei Tian, Alex Liu, Lief Esbenshade +6
The integration of large language models (LLMs) into educational assessment represents a transformative shift in classroom grading practices. While automated scoring systems and ma…
AI as a Teaching Partner: Early Lessons from Classroom Codesign with Secondary Teachers
Alex Liu, Lief Esbenshade, Shawon Sarkar +6
This report presents a comprehensive account of the Colleague AI Classroom pilot, a collaborative design (co-design) study that brought generative AI technology directly into real…
Emerging Patterns of GenAI Use in K-12 Science and Mathematics Education
Lief Esbenshade, Shawon Sarkar, Drew Nucci +10
In this report, we share findings from a nationally representative survey of US public school math and science teachers, examining current generative AI (GenAI) use, perceptions, c…
How K-12 Educators Use AI: LLM-Assisted Qualitative Analysis at Scale
Alex Liu, Lief Esbenshade, Shawon Sarkar +4
This study investigates how K-12 educators use generative AI tools in real-world instructional contexts and how large language models (LLMs) can support scalable qualitative analys…
Implementation Considerations for Automated AI Grading of Student Work
Zewei Tian, Alex Liu, Lief Esbenshade +4
This study explores the classroom implementation of an AI-powered grading platform in K-12 settings through a co-design pilot with 19 teachers. We combine platform usage logs, surv…
Connecting Feedback to Choice: Understanding Educator Preferences in GenAI vs. Human-Created Lesson Plans in K-12 Education -- A Comparative Analysis
Shawon Sarkar, Min Sun, Alex Liu +4
As generative AI (GenAI) models are increasingly explored for educational applications, understanding educator preferences for AI-generated lesson plans is critical for their effec…
Adapting to Educate: Conversational AI's Role in Mathematics Education Across Different Educational Contexts
Alex Liu, Lief Esbenshade, Min Sun +4
As educational settings increasingly integrate artificial intelligence (AI), understanding how AI tools identify -- and adapt their responses to -- varied educational contexts beco…
Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts
Zewei Tian, Min Sun, Alex Liu +2
This paper explores the transformative potential of computer-assisted textual analysis in enhancing instructional quality through in-depth insights from educational artifacts. We i…
From Voices to Validity: Leveraging Large Language Models (LLMs) for Textual Analysis of Policy Stakeholder Interviews
Alex Liu, Min Sun
Obtaining stakeholders' diverse experiences and opinions about current policy in a timely manner is crucial for policymakers to identify strengths and gaps in resource allocation,…