Understanding the Temporal Dimension of Students' Engagement in Engineering Design Learning

• In Event: Marriott Roundtable Session 30
  In Roundtable Session: Technology, Instruction, Cognition and Learning SIG: Students' Experiences With Technology

Abstract

Using an explanatory mixed method design, the goal of this study was to investigate the temporal variation of students’ engagement when they are studying engineering design. A total of 111 9th grade high school students participated. Data mining techniques designed for education was implemented to group students into three clusters with distinct temporal patterns of engagement. Then, ANOVA and Turkey HSD tests were used to identify the relationship of each of these patterns to student performance. Our results showed that students who are gradually inactive in the process have the worst performance among three clusters, while there is non-significant difference of performance between the remaining two clusters.

Authors

• Wanli Xing, University of Florida

• Yifang Zeng, Texas Tech University

• Xudong Huang, Concord Consortium

• Juan Zheng, McGill University

• Guanhua Chen, Concord Consortium

• Charles Xie, Concord Consortium