Haeryun Kim
@haeryunkim.bsky.social
Ph.D. Student of Education Policy, Organization, & Leadership, University of Illinois Urbana-Champaign | K-12 Education Policy; School Finance and Teacher Labor Market
https://sites.google.com/illinois.edu/haeryunkim/home_1
https://sites.google.com/illinois.edu/haeryunkim/home_1
Reposted by Haeryun Kim
We know the school finance matters to the kids and the compensation matters to the teachers but we don't actually know much about how to trade off between different things in that general area. bsky.app/profile/paul...
The main focus of the chapter is what we know about the teacher supply and the evidence for those things. But I also conclude with a brief discussion of some issues that I think are both important and more poorly understood.
November 6, 2025 at 10:28 PM
We know the school finance matters to the kids and the compensation matters to the teachers but we don't actually know much about how to trade off between different things in that general area. bsky.app/profile/paul...
Above all, I greatly appreciate the opportunity to think through this issue. While I haven't yet used wage adjustments in my work, I plan to incorporate them into my ongoing research on school finance. Thus, this discussion has been very helpful. Thank you so much, @carajackson.bsky.social!
September 29, 2025 at 10:55 PM
Above all, I greatly appreciate the opportunity to think through this issue. While I haven't yet used wage adjustments in my work, I plan to incorporate them into my ongoing research on school finance. Thus, this discussion has been very helpful. Thank you so much, @carajackson.bsky.social!
One initial thought I've had is to use average data from previous years (similar to @cmsaldana.bsky.social ’s response). Also checking state-level data from state websites and exploring if they can be standardized for comparisons comes to mind, though availability and feasibility remain uncertain!
September 29, 2025 at 10:51 PM
One initial thought I've had is to use average data from previous years (similar to @cmsaldana.bsky.social ’s response). Also checking state-level data from state websites and exploring if they can be standardized for comparisons comes to mind, though availability and feasibility remain uncertain!
✅ Contributions:
1. Highlighting the value of an intersectional lens to uncover overlapping inequities often missed when student backgrounds are examined in isolation.
2. Providing much-needed longitudinal and intersectional evidence to guide current and future CS education policy toward equity.
1. Highlighting the value of an intersectional lens to uncover overlapping inequities often missed when student backgrounds are examined in isolation.
2. Providing much-needed longitudinal and intersectional evidence to guide current and future CS education policy toward equity.
May 14, 2025 at 8:25 PM
✅ Contributions:
1. Highlighting the value of an intersectional lens to uncover overlapping inequities often missed when student backgrounds are examined in isolation.
2. Providing much-needed longitudinal and intersectional evidence to guide current and future CS education policy toward equity.
1. Highlighting the value of an intersectional lens to uncover overlapping inequities often missed when student backgrounds are examined in isolation.
2. Providing much-needed longitudinal and intersectional evidence to guide current and future CS education policy toward equity.
3. (🚨Intersectional lens) Students who are both female and members of specific racial groups or are identified as having a disability or LEP status are likely to face overlapping inequities.
❗️The within-race gender gap is larger in the racial groups with higher CS enrollment (e.g., Asian students).
❗️The within-race gender gap is larger in the racial groups with higher CS enrollment (e.g., Asian students).
May 14, 2025 at 8:24 PM
3. (🚨Intersectional lens) Students who are both female and members of specific racial groups or are identified as having a disability or LEP status are likely to face overlapping inequities.
❗️The within-race gender gap is larger in the racial groups with higher CS enrollment (e.g., Asian students).
❗️The within-race gender gap is larger in the racial groups with higher CS enrollment (e.g., Asian students).
✅ Main Findings:
1. Overall CS enrollment increases seem to be disproportionately driven by certain student groups (e.g., male, Asian).
2. Models with fixed effects suggest that both between-school differences and within-school factors appear to explain CS enrollment gaps between student groups.
1. Overall CS enrollment increases seem to be disproportionately driven by certain student groups (e.g., male, Asian).
2. Models with fixed effects suggest that both between-school differences and within-school factors appear to explain CS enrollment gaps between student groups.
May 14, 2025 at 8:24 PM
✅ Main Findings:
1. Overall CS enrollment increases seem to be disproportionately driven by certain student groups (e.g., male, Asian).
2. Models with fixed effects suggest that both between-school differences and within-school factors appear to explain CS enrollment gaps between student groups.
1. Overall CS enrollment increases seem to be disproportionately driven by certain student groups (e.g., male, Asian).
2. Models with fixed effects suggest that both between-school differences and within-school factors appear to explain CS enrollment gaps between student groups.
In this study, I explored how high school computer science course enrollment differs by student background through an intersectional lens, using longitudinal and student-level data from the North Carolina Education Research Data Center (NCERDC).
May 14, 2025 at 8:22 PM
In this study, I explored how high school computer science course enrollment differs by student background through an intersectional lens, using longitudinal and student-level data from the North Carolina Education Research Data Center (NCERDC).
Additionally, I deeply appreciate your reposting of Paul’s post about my paper! :)
May 14, 2025 at 7:55 PM
Additionally, I deeply appreciate your reposting of Paul’s post about my paper! :)
Hi Dan, thank you very much for your suggestion! As a new user on Bluesky and sharing my paper here for the first time, I appreciate your advice, which really helped me navigate the platform :) I'll go ahead and add a thread to my original post as you suggested. Thank you so much again!
May 14, 2025 at 7:47 PM
Hi Dan, thank you very much for your suggestion! As a new user on Bluesky and sharing my paper here for the first time, I appreciate your advice, which really helped me navigate the platform :) I'll go ahead and add a thread to my original post as you suggested. Thank you so much again!