Student Estimates of Public Speaking Competency: The Meaning Extraction Helper and Video Self-evaluation

Luke LeFebvre, Leah LeFebvre, Kate Blackburn, Ryan Boyd

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Video continues to be used in many basic communication courses as a way for students to self-evaluate speechmaking. In this study, students (N = 71) presented speeches, viewed the video recordings, and produced self-generated feedback. Comparing student's self-estimated grades from the self-evaluation against earned grades resulted in composite scores that were organized in three estimator categorizations: under-, accurate-, or overestimators. The estimators' feedback was analyzed by new software, the Meaning Extraction Helper, to identify specific themes. The common content words that emerged provided themes that were then inductively categorized. Results indicated unique categories/subcategories for each estimator type and minor subcategory similarities across estimators. Findings discuss estimator perceptions influencing student understanding of their speaking skills.

Original languageEnglish
Pages (from-to)261-279
Number of pages19
JournalCommunication Education
Volume64
Issue number3
DOIs
StatePublished - Jul 3 2015

Keywords

  • Basic Course
  • Estimator Types
  • Meaning Extraction Helper
  • Self-perceptions
  • Video Self-evaluation

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