Extending an Intelligent Tutoring System for Oral Communication with Peer Assessment Capabilities: An Evaluation Study

Javier Ibarra, Claudio Álvarez, Matías Recabarren*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The ability to succinctly and effectively communicate complex ideas is increasingly recognized as a critical skill for engineering professionals, defining a realm of ill-defined learning tasks. The elevator pitch, particularly, serves as a prime example of this necessity. This study explores the extension of the EPIC intelligent tutoring system, originally designed to enhance oral communication skills in development and performance of elevator pitches through individual learning, by integrating collaborative capabilities with a focus on peer-assessment. A pilot study with 24 engineering students was conducted to assess the user experience, usability and learning outcomes. Results indicate that students’ experience and usability perceptions are generally positive. Moreover, students who positively rated the peer-assessment functionalities showed marked improvements in their abilities to deliver effective elevator pitches. Pedagogical implications and design criteria aiming to improve students’ valuation of collaborative work are discussed.

Original languageEnglish
Title of host publicationCollaboration Technologies and Social Computing - 30th International Conference, CollabTech 2024, Proceedings
EditorsPatricia Santos, Davinia Hernández-Leo, Claudio Álvarez, Minoru Kobayashi, Gustavo Zurita
PublisherSpringer Science and Business Media Deutschland GmbH
Pages81-96
Number of pages16
ISBN (Print)9783031679971
DOIs
StatePublished - 2024
Event30th International Conference on Collaboration Technologies and Social Computing, CollabTech 2024 - Barcelona, Spain
Duration: 11 Sep 202414 Sep 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14890 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference30th International Conference on Collaboration Technologies and Social Computing, CollabTech 2024
Country/TerritorySpain
CityBarcelona
Period11/09/2414/09/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • Intelligent Tutoring System
  • Oral Communication
  • Peer-Assessment

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