Teacher Comparative Test Overview

Overview

  • Ten teachers (Six science teachers and four math teachers) participated in an extensive survey that walked them through the following tutors: Flexi, Khanmigo, and Q-Chat. 
  • Teachers used each of the three AI tutors and provided their feedback and preferences.

Purpose

The purpose of this study is to provide comparative data with Flexi and similar AI tutors. We want to determine which tutor teachers would prefer for their students to use, the teachers' attitudes on the functionality of each tutor, and the conditions that are optimal for the use of each tutor.

Methodology

Teachers were instructed to enter 4 pre-determined questions into Flexi, Khanmigo, and Q-Chat. These questions were designed to showcase the capabilities of all four tutors. Math teachers asked the math questions, and science teachers asked the science questions. After exploring the given questions, the teachers were instructed to explore each of the AI tutors on their own (20 minutes each).

Key Takeaways

  • 90% of educators surveyed prefer Flexi over other AI tutors overall.
  • 60% of educators surveyed prefer Flexi over other AI tutors for its navigability.
  • 100% of educators surveyed prefer Flexi when considering cost.
  • 100% of educators felt that Flexi’s visual and interactive responses gave it a competitive edge over similar AI tutors.
  • 100% of educators were satisfied with the quality of Flexi’s responses.
Teacher Comparative Test Overview