Welcome to Circuit Tutor

Circuit Tutor is a step-based computer-aided tutoring system to aid in the teaching of elementary linear circuit analysis.

Photo credits: Erika Gronek/ASU

Random problem generation

Generates completely random circuit topologies and element values; unlimited unique problems for every student

Special interfaces

Students enter equations with a scaffolded template-based system, sketch waveforms, edit & draw circuit diagrams, and more…

Topical coverage

Covers major topics in linear circuit analysis, including DC, AC, transient, Bode plots, and Laplace transforms

Adaptability and mastery learning

Carefully graded levels of difficulty; unlimited fully-worked examples and problems; implements mastery learning

Step-based feedback

Immediately evaluates every step of a student’s work and provides detailed feedback to minimize wasted time

Special pedagogical features

Color codes nodes & mesh currents to help recognize series & parallel elements, and color codes corresponding equation terms

Proven effectiveness

Led to enhanced learning compared to paper homework or WileyPLUS in multiple randomized, controlled experiments

Partner Institutions

ASU

Arizona State University

Course One

Morgan State University

Course One

University of Texas El Paso

Course One

Florida A&M University

Circuit Tutor Usage to Date

9006
Student Users
249
Class Sections
67
Instructors
16
User Institutions Arizona State University
Auburn University
Chandler-Gilbert Community College
Dalhousie University
Florida A & M University/Florida State University
George Mason University
Glendale Community College
Hampton University
Messiah University
Morgan State University
North Carolina A & T State University
Phoenix College
University of Notre Dame
University of Texas at El Paso
University of the Pacific
University of Virginia
The Circuit Tutor system has shown learning gains up to 1.21 σ (standard deviations) in comparison to paper or commercial homework systems.

Photo credits: Erika Gronek/ASU

Copyright © 2022. All Rights Reserved.
This material is based upon work supported by the Improving Undergraduate STEM Education: Education and Human Resources (IUSE: EHR) Program of the National Science Foundation under Grant No. 1821628, and by the Transforming Undergraduate Education in Science, Technology, Engineering and Mathematics Program of the National Science Foundation under Grant Nos. DUE-1044497 and DUE-1323773. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.