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

Javier Ibarra, Claudio Álvarez, Matías Recabarren*

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaCollaboration Technologies and Social Computing - 30th International Conference, CollabTech 2024, Proceedings
EditoresPatricia Santos, Davinia Hernández-Leo, Claudio Álvarez, Minoru Kobayashi, Gustavo Zurita
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas81-96
Número de páginas16
ISBN (versión impresa)9783031679971
DOI
EstadoPublicada - 2024
Evento30th International Conference on Collaboration Technologies and Social Computing, CollabTech 2024 - Barcelona, Espana
Duración: 11 sep. 202414 sep. 2024

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen14890 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia30th International Conference on Collaboration Technologies and Social Computing, CollabTech 2024
País/TerritorioEspana
CiudadBarcelona
Período11/09/2414/09/24

Nota bibliográfica

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

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