Visual Analysis of School Science Literacy Outcomes

• In Event: Marriott Roundtable Session Five
  In Roundtable Session: Higher Education: Creating New Paths for Data Use (Table 4)

Abstract

This study aimed to illustrate visual analytics to examine school science literacy outcomes. Based on 49 student-, teacher-, and principal-reported variables, we conducted a multidimensional scaling visual analysis of relationships between these variables and science literacy achievement of 238 US schools. The data were from the Program for International Student Assessment in 2015. The visual analytic results suggested that the context in which schools can achieve better science literacy includes high-quality science teachers and positive student dispositions toward science learning. The analysis of variance further supported the results. The results were discussed concerning the implications for school leaders for setting program priorities.

Author

• Cody Ding, University of Missouri - St. Louis
  Presenting Author