◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Sanjit Kakarla

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.HC3

identity via Semantic Scholar / OpenAlex

most citedDo Tutors Learn from Equity Training and Can Generative AI Assess It?

7 citations · 16 across the 3 of their papers we have counts for

collaborators

3 papers

cs.HC2024★ 7 cited

Do Tutors Learn from Equity Training and Can Generative AI Assess It?

Danielle R. Thomas, Conrad Borchers, Sanjit Kakarla +5

Equity is a core concern of learning analytics. However, applications that teach and assess equity skills, particularly at scale are lacking, often due to barriers in evaluating la…

cs.HC2024★ 6 cited

Does Multiple Choice Have a Future in the Age of Generative AI? A Posttest-only RCT

Danielle R. Thomas, Conrad Borchers, Sanjit Kakarla +5

The role of multiple-choice questions (MCQs) as effective learning tools has been debated in past research. While MCQs are widely used due to their ease in grading, open response q…

cs.HC2024★ 3 cited

Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors

Sanjit Kakarla, Danielle Thomas, Jionghao Lin +2

Research suggests that tutors should adopt a strategic approach when addressing math errors made by low-efficacy students. Rather than drawing direct attention to the error, tutors…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.