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Familiarity and Pedagogical Agents
PROCEEDINGS

, , , University of South Alabama, United States

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Washington, DC, USA ISBN 978-1-880094-54-9 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

Abstract: Graduate students took a forty-minute technology-based instructional module on statistics with a built-in solicited guidance mechanism. Participants were randomly assigned to programs that used one of four types of advisement: on-screen digitized video of a human pedagogical agent/advisor familiar to the learner, on-screen digitized video of a human pedagogical agent/advisor unfamiliar to the learner, on-screen text-based pedagogical advisor, and a text-based pedagogical advisor accessed via a pull-down menu. The data collection has not been totally completed at the time of this submission, but preliminary results indicate that video with an agent/advisor familiar to the learner is selected more frequently than one unfamiliar to the learner. Both of the advisement conditions in the data that has been collected were used more that the text advisement conditions.

Citation

Dempsey, J., Blaylock, H. & Johnson, B. (2004). Familiarity and Pedagogical Agents. In J. Nall & R. Robson (Eds.), Proceedings of E-Learn 2004--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 1164-1170). Washington, DC, USA: Association for the Advancement of Computing in Education (AACE). Retrieved November 17, 2019 from .

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