Confidence Through Engagement

ZYBOOKS VS. TRADITIONAL TEXTBOOKS

  • With a single lesson, zyBooks improved student performance by 16%.
  • Least-prepared students improved by 64%.
  • Students self-reported significantly higher levels of engagement with the zyBook.
  • Students voluntarily spent twice as long with the zyBook, even though the zyBook had half the text.
  • 96% of instructors polled recognize zyBooks for boosting their students’ confidence with the subject matter.

Improve Grades

ZYBOOKS IMPROVE STUDENT LETTER GRADES UP TO ⅔

  • Across 4 courses at 3 universities (Univ. of Michigan, Univ. of Arizona, and UC Davis).
  • Comparing students in the same course that switched from traditional textbooks to zyBooks, with the same instructor and semester of year.
  • Students using zyBooks received more As/Bs and fewer Ds/Fs.
  • zyBooks significantly improved exam and project grades.

Motivate Reading

HOW MANY POINTS SHOULD BE AWARDED FOR INTERACTIVE TEXTBOOK READING ASSIGNMENTS?

  • Will students read if awarded points? Yes, 74% more.
  • Will students “cheat” system to get points? No, most students will be earnest.
  • How many points should be awarded? 5 – 10 points in total (out of 100 course points).

Smaller, Smarter Textbook

STUDENTS LEARN MORE WITH LESS TEXT THAT COVERS THE SAME CORE TOPICS

  • Students learned 118% more in a single-lesson with minimal text.
  • Minimal text preserves substance, conveying the same content with more precise language.
  • Methods: Avoid extra words/phrases, use declarative sentences, move text to tables where appropriate.
  • Students self-reported a significant preference for minimal text.

Students work earnestly

STUDENTS WILL EARNESTLY COMPLETE INTERACTIVE WEB MATERIAL

  • When using zyBooks, fewer than 3% of students “cheat the system”.
  • Despite the availability of the answer, the overwhelming majority of students will make an earnest attempt at completion.
  • Methods: award small amount of points for completion and assign reasonable amount of work.

Publications

  • A. Edgcomb, F. Vahid, R. Lysecky, and S. Lysecky. Getting students to earnestly do reading, studying, and homework in an introductory programming class, ACM SIGCSE Technical Symposium on Computer Science Education, March 2017. paper
  • J. Yuen, A. Edgcomb, and F. Vahid. Will Students Earnestly Attempt Learning Questions if Answers are Viewable?, Proc. of ASEE Annual Conference, New Orleans, June 2016. paper
  • A. Edgcomb and F. Vahid. Simplifying a Course to Reduce Student Stress so Students Can Focus Again on Learning, Proc. of ASEE Annual Conference, New Orleans, June 2016. paper
  • F. Vahid, S. Lysecky, and A. Edgcomb. Introduction to Computing Technology: New Interactive Animated Web-Based Learning Content, Proc. of ASEE Annual Conference, New Orleans, June 2016. paper
  • F. Vahid, A. Edgcomb, S. Lysecky, and R. Lysecky. New Web-Based Interactive Learning Material for Digital Design, Proc. of ASEE Annual Conference, New Orleans, June 2016. paper
  • F. Vahid, A. Edgcomb, B. Miller, and T. Givargis. Learning Materials for Introductory Embedded Systems Programming using a Model-Based Discipline, Proc. of ASEE Annual Conference, New Orleans, June 2016. paper
  • F. Vahid, D. de Haas, S. Strawn, A. Edgcomb, S. Lysecky, R. Lysecky. A Continual Improvement Paradigm for Modern Online TextbooksInt. Conf. of Education, Research and Innovation (ICERI), Spain, Nov. 2015. paper
  • A. Edgcomb, D. De Haas, R. Lysecky, F. Vahid. Student usage and behavioral patterns with online interactive textbook materials. Int. Conf. of Education, Research and Innovation (ICERI), Spain, Nov. 2015. paper
  • A. Edgcomb, F. Vahid. How Many Points Should Be Awarded for Interactive Textbook Reading Assignments? Proc. of Frontiers in Education conference (FIE), El Paso, Oct. 2015. paper
  • A. Edgcomb, F. Vahid, R. Lysecky. Students Learn More with Less Text that Covers the Same Core Topics, Proc. of Frontiers in Education conference (FIE), El Paso, Oct. 2015. paper
  • A. Edgcomb, F. Vahid, R. Lysecky, A. Knoesen, R. Amirtharajah, and M.L. Dorf. Student Performance Improvement using Interactive Textbooks: A Three-University Cross-Semester Analysis, Proc. of ASEE Annual Conference, Seattle, June 2015. (Best paper award) paper
  • A. Edgcomb, J. Yuen, F. Vahid. Experiments in Student Crowdsourcing of Practice Question and Animation Creation, Proc. of ASEE Annual Conference, Seattle, June 2015. paper
  • A. Edgcomb, F. Vahid. Effectiveness of Online Textbooks vs. Interactive Web-Native Content, Proc. of ASEE Annual Conference, Indianapolis, June 2014. (Best paper award) paper
  • J. M. Allen, F. Vahid, K. Downey, and A. Edgcomb. Weekly Programs in a CS1 Class: Experiences with Auto-graded Many-small Programs (MSP), Proceedings of ASEE Annual Conference, 2018 (best paper nominee).  paper
  • A. Edgcomb, N. Sambamurthy, D. Gulvady, and S. Kasula. Student Usage of Small Auto-graded MATLAB Coding Exercises, Proceedings of ASEE Annual Conference, 2018 (best paper nominee). paper
  • N. Sambamurthy and A. Edgcomb. A Systematic Literature Review of Misconceptions in Linear Circuit Analysis, Proceedings of ASEE Annual Conference, 2018. paper
  • N. Alzahrani, F. Vahid, A. Edgcomb, R. Lysecky, and S. Lysecky. An Analysis of Common Errors Leading to Excessive Student Struggle on Homework Problems in an Introductory Programming Course, Proceedings of ASEE Annual Conference, 2018. paper
  • N. Alzahrani, F. Vahid, A. Edgcomb, K. Nguyen, and R. Lysecky. Python versus C++: An analysis of student struggle on small coding exercises in introductory programming courses, ACM SIGCSE Technical Symposium on Computer Science Education, 2018. paper