Utilizing instructional consultations to enhance the teaching performance of engineering faculty

Cynthia J. Finelli, Molly Ott, Amy C. Gottfried, Chad Hershock, Christopher O'neal, Matthew Kaplan

Research output: Contribution to journalArticlepeer-review

38 Scopus citations


Although many kinds of data can be used to guide instructional consultations, research comparing the efficacy of such data is scant, especially in engineering. In this study, multiple modes of assessment were used to evaluate the impact of consultations informed by different kinds of data. This study illuminates two key aspects of instructional consultations: (1) their efficacy varies depending on the kind of data used to guide them, with student feedback from a Small Group Instructional Diagnosis (SGID) having the largest positive impact, and (2) the instructional consultant plays a key role in helping both interpret the available data and identify strategies for improvement. These findings suggest three implications for practice: (1) whenever possible, SGID-based consultations should be offered systematically and proactively for engineering faculty, (2) data for other kinds of consultations should be tailored to the needs of the individual instructor, and (3) instructional consultants should be available to collaborate with faculty to enhance their teaching, thereby building an engineering culture that actively supports teaching and learning.

Original languageEnglish (US)
Pages (from-to)397-411
Number of pages15
JournalJournal of Engineering Education
Issue number4
StatePublished - Oct 2008
Externally publishedYes


  • Improving teaching
  • Instructional consultation
  • Small Group Instructional Diagnosis (SGID)

ASJC Scopus subject areas

  • Education
  • General Engineering


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