Using NSSE to Understand Student Success: A Multi-Year Analysis

نویسندگان

  • Stefano Fiorini
  • Tao Liu
  • Judith Ouimet
چکیده

This research focuses on using NSSE (National Survey of Student Engagement) responses to predict student academic success. The analysis is based on 16,630 Indiana University Bloomington first-year beginner students and seniors who completed the NSSE survey administered from 2006-2012. Logistic regression and linear regression on student background and pre-college information, financial aid, previous college academic performance, NSSE Benchmarks and individual NSSE items were conducted to predict academic success defined as: 1) first-year students’ fall-to-fall retention and end-of-first-year cumulative GPA, 2) seniors number of terms taken to degree completion and 4-year graduation. Results show that certain student characteristics and earlier achievement are indicative of college success with higher levels of student engagement marginally contributing to the models. Analyses also highlighted elements of engagement that go counter to their expected effect on retention and performance.

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تاریخ انتشار 2015