This paper explores the development of the Elevator Pitch Intelligent Companion (EPIC), an Intelligent Tutoring System (ITS) designed to improve students’ oral communication skills. Three design variants of EPIC were evaluated on a group of 246 engineering students at a Latin American university, focusing on different task selection strategies: one with a single, iterative task, another with different tasks solved in one step, and the last involving tasks with dependent sub-tasks. Evaluations, considering usability, learning, and student engagement, revealed that no one design was superior in all aspects. Each model showcased its unique strengths and weaknesses, which emphasizes the complexity of designing ITS systems for ill-structured domains. The findings provide valuable insights into ITS design for such domains.
|Title of host publication||Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference|
|Editors||Marcelo Milrad, Nuno Otero, María Cruz Sánchez-Gómez, Juan José Mena, Dalila Durães, Manuel Rodrigues, Filippo Sciarrone, Claudio Alvarez-Gómez, Pierpaolo Vittorini, Rosella Gennari, Tania Di Mascio, Marco Temperini, Fernando De la Prieta|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||9|
|State||Published - 2023|
|Event||13th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning, MIS4TEL 2023 - Guimaraes, Portugal|
Duration: 12 Jul 2023 → 14 Jul 2023
|Name||Lecture Notes in Networks and Systems|
|Conference||13th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning, MIS4TEL 2023|
|Period||12/07/23 → 14/07/23|
Bibliographical notePublisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Intelligent Tutoring System
- Oral Communication
- Pedagogical Design