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Hansol Lee

7 papers hereh-index 181.3k citations56 works total

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

author position
  • first author4
  • middle author2
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CY4
  • cs.HC2
  • stat.AP1
same name
  • Hansol Lee — 3 papers, h 1
  • Hansol Lee — 2 papers, h 5
  • Hansol Lee — 2 papers, h 2
  • Hansol Lee — 1 paper, h 3
  • Hansol Lee — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedEvaluation of Fairness Trade-offs in Predicting Student Success

9 citations · 20 across the 6 of their papers we have counts for

collaborators
Showing cs.CYShow all

4 papers · 1 filter

cs.CY2023

Evaluating a Learned Admission-Prediction Model as a Replacement for Standardized Tests in College Admissions

Hansol Lee, René F. Kizilcec, Thorsten Joachims

A growing number of college applications has presented an annual challenge for college admissions in the United States. Admission offices have historically relied on standardized t…

cs.CY2021★ 7 cited

Should College Dropout Prediction Models Include Protected Attributes?

Renzhe Yu, Hansol Lee, René F. Kizilcec

Early identification of college dropouts can provide tremendous value for improving student success and institutional effectiveness, and predictive analytics are increasingly used…

cs.CY2020

Algorithmic Fairness in Education

René F. Kizilcec, Hansol Lee

Data-driven predictive models are increasingly used in education to support students, instructors, and administrators. However, there are concerns about the fairness of the predict…

cs.CY2020★ 9 cited

Evaluation of Fairness Trade-offs in Predicting Student Success

Hansol Lee, René F. Kizilcec

Predictive models for identifying at-risk students early can help teaching staff direct resources to better support them, but there is a growing concern about the fairness of algor…

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