Personal Website of Conrad Borchers
Welcome! 👋
I am a PhD student at the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University, School of Computer Science where I am advised by Vincent Aleven and Ken Koedinger. I am broadly interested in studying the effectiveness of educational technologies and pathways through data science methods.
Connect with me via
LinkedIn
or
e-mail to discuss research opportunities or CMU's academic programs. New publications are most reliably announced on LinkedIn.
News
New JLA paper on supporting course selection using course load analytics
(PDF)
(05/2025)
New Computers & Education paper on the scaffolding of unfamililar strategies
(PDF)
(05/2025)
New AIED '25 preprint on instructional benchmarking for LLMs
(PDF)
(04/2025)
Sentiment comparison study of NGSS and CCSS accepted to Educational Researcher
(PDF)
(04/2025)
Preprint on determining statistical power in algorithmic bias assessment/ABROCA
(PDF)
(04/2025)
Six papers accepted to AIED '25, four to EDM '25. Preprints coming soon.
(04/2025)
Older News
New workshop paper on agent-based thematic analysis
(PDF)
(03/2025)
New JEDM paper on the impact of delayed enrollment on course drops
(Open Access)
(02/2025)
New TechTrends paper on mining dual-language program communications
(Open Access)
(02/2025)
New JOST paper on cross-national strategic differences in ITS
(Open Access)
(01/2025)
Seven conference papers accepted to LAK '25
(Preprints)
(12/2024)
Our ICQE '24 paper received the best student paper award
(pdf)
(11/2024)
New paper on scaffolding in tutoring systems to appear at ICQE '24
online
(08/2024)
Two best paper awards received at EDM '24
paper 1,
paper 2
(07/2024)
New paper in C&E Open published (06/2024)
One full paper accepted to EC-TEL '24
(preprint)
(06/2024)
L@S paper on differential course difficulty is online
(preprint)
(06/2024)
Paper on predicting learner performance with LLMs receives an HCII '24 best paper award (06/2024)
Three EDM24 preprints are out!
long,
long,
short
(04/2024)
Full AIED BlueSky paper accepted. Read it here. See you in Brazil... (04/2024)
One L@S paper accepted. Preprint coming soon. (04/2024)
Two ISLS papers (long) and (short) led by my 2023 NSF REU interns were accepted (03/2024)
LAK '24 in Kyoto! Co-presented two full papers (1) (2), a workshop paper, and a poster (03/2024)
New preprints on improving knowledge tracing and tutoring through LLMs (1) (2) (02/2024)
Two full papers accepted to LAK '24. Preprint 1, Preprint 2 (12/2023)
One AAAI workshop + one paper accepted to HCI international '24. Stay tuned... (12/2023)
Grateful and excited to be named a Learnest Ethical AI in Education Fellow (10/2023)
Our ETRD paper discussing Facebook post data for ed research is now online (08/2023)
Our paper on using Facebook post data for ed research is accepted to ETRD. Preprint (06/2023)
Full paper on ITS vs. pen-and-paper practice accepted to EC-TEL '23. Read the preprint here (06/2023)
Our Plos One paper on eye-tracking to gauge dentistry students' diagnosic process is online (06/2023)
Short paper on teacher stop detection optimization accepted to EDM '23. Paper (04/2023)
Poster on Twitter community switching inference accepted to EDM '23. Read the paper here (04/2023)
Full paper on spatiotemporal analytics in AI-tutor classrooms accepted to AIED '23. Paper (04/2023)
Our LAK '23 paper on Course Load Analytics won a best full paper honorable mention. PDF (03/2023)
My Bachelor's thesis work was accepted to Plos One. Details to come. (03/2023)
Short paper accepted to ISLS '23 on teacher attention allocation with Lumilo. Read it here (03/2023)
Delighted to receive the 2022 Oxford Internet Institute Thesis Prize. Press release (03/2023)
Full paper accepted to LAK '23, find the preprint here (12/2022)
Learning, Media and Technology paper now online (11/2022)
Educational Researcher paper now online (11/2022)
Talked with Kyle Polich about a recent paper on the Data Skeptic Podcast (10/2022)
Moved to Pittsburgh, PA... (08/2022)
Paper accepted to The Internet and Higher Education. Find the pdf here! (08/2022)
Paper accepted to Learning, Media and Technology (08/2022)
Paper accepted to Educational Researcher (07/2022)
Paper accepted for the 4th Workshop on Gender Bias in NLP at NAACL 2022 (05/2022)
I updated this website and will post upcoming announcements here (03/2022)