Conrad Borchers
Scholar

Conrad Borchers

Google Scholar ID: v5yiJVAAAAAJ
Carnegie Mellon University
Educational Data MiningLearning AnalyticsIntelligent Tutoring SystemsSelf-Regulated Learning
Citations & Impact
All-time
Citations
542
 
H-index
13
 
i10-index
17
 
Publications
20
 
Co-authors
44
list available
Resume (English only)
Academic Achievements
  • Published numerous papers and received several awards, such as the best paper award at EC-TEL '25, named a Siebel Scholar (Class of 2026), and the best student paper award at ICQE '24.
Research Experience
  • Engaged in multiple research projects, including experimental evaluation of multi-agent qualitative coding, support systems for course selection, and more.
Education
  • Pursuing a PhD, University: Carnegie Mellon University, Advisors: Vincent Aleven and Ken Koedinger.
Background
  • PhD candidate at the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University, School of Computer Science, with research interests in the effectiveness of educational technologies and pathways through data science methods.
Miscellany
  • Connect via LinkedIn or e-mail to discuss research opportunities or CMU's academic programs.