Exploring Sequencing Features of Content Topics in the Textbook: Visual and Statistical Approaches

• In Event: AERA Roundtable Session Wednesday 9:00 am Four Seasons Ballroom 2-3
  In Roundtable Session: Studies of Mathematics Content and Pedagogy (Table 7)

Abstract

This study fills a significant gap in educational research by using visual and statistical methods to measure the sequencing of textbook content topics. The sequencing of textbooks are crucial for enhancing student learning, yet existing literature primarily relies on visual analysis—a method used for over two decades—lacking statistical depth. Without quantitative indicators, the relationship between content sequencing and academic performance remains unclear. This research analyzed 31 ninth-grade Algebra textbooks from across the U.S. Two approaches—visual mapping and statistical measurement—were developed to examine content sequencing. This study provides quantitative indicators, advancing beyond graphical analysis and offering deeper insights into textbook organization. These findings can inform educators and policymakers on improving textbook content organization to enhance learning outcomes.

Authors

• Xuran Wang, Michigan State University

• William H. Schmidt, Michigan State University

• Richard T. Houang, Michigan State University