AI-Enhanced Technical Interview Preparation

ActiveAI Applications

Creating scalable, personalized technical interview practice for data science students by combining expert human interviews with AI simulation.

AI-Enhanced Technical Interview Preparation

Overview

Creating scalable, personalized technical interview practice for data science students by combining expert human interviews with AI simulation. This project identifies effective interviewing patterns through real student interactions, then develops an adaptive AI platform that helps students articulate technical concepts, improve communication skills, and prepare for industry positions at their own pace.

Project Details

Started

2024-01

Status

Active

Topics

AItechnical interviewsdata scienceeducationmentorship

Funding

  • Academic Innovation Fund (2024): $12,435

Research Team

  • Michael IonCo-Principal InvestigatorUniversity of Michigan
  • Kevyn Collins-ThompsonCo-Principal InvestigatorUniversity of Michigan

Related Scholarship

Papers

  • Simulated Teaching and Learning at Scale: Balancing Fidelity and Effectiveness in Tutoring Interactions

    Michael Ion, Kevyn Collins-Thompson, S. Asthana

  • Bayesian Hierarchical Modeling of Large-Scale Math Tutoring Dialogues

    Michael Ion, Kevyn Collins-Thompson

    Joint Statistical Meetings (2025) - Under review

Talks & Presentations

  • Adaptive Knowledge Assessment in Simulated Coding Interviews

    Michael Ion, S. Asthana, Fengquan Jiao, Tianyi Wang, Kevyn Collins-Thompson

    iRAISE Workshop at AAAI Conference (2025)