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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