@inproceedings{0fcfb14229054bbab8ea8fa78bc2e2db,
title = "Using Qualitative Data from Targeted Interviews to Inform Rapid AIED Development",
abstract = "This paper examines how interviews with students—at critical moments of the learning process—may be leveraged to improve the design of educational software. Specifically, we discuss iterative work to improve the design of a pedagogical agent in the Betty{\textquoteright}s Brain learning environment, Mr. Davis. Students interacted with the pedagogical agent in Betty{\textquoteright}s Brain during two separate studies, two months apart. During study one, qualitative interviews were prompted by student actions within the system and theoretically aligned sequences of educationally relevant affective states (as detected by previously validated models). Facilitaed by an app called the Quick Red Fox (QRF), these in situ interviews were then used to identify ways to rapidly improve Mr. Davis{\textquoteright} design, investigated in study two. Results indicate that changes designed to make Mr. Davis more empathetic correlate with improved learning outcomes. We also discuss the potential for rapidly collected qualitative data in future developments.",
keywords = "Affective computing, data-driven design, learning by teaching, pedagogical agents",
author = "Jaclyn Ocumpaugh and Stephen Hutt and Andres, {Juliana Ma Alexandra L.} and Baker, {Ryan S.} and Gautam Biswas and Nigel Bosch and Luc Paquette and Anabil Munshi",
note = "Publisher Copyright: {\textcopyright} 2021 29th International Conference on Computers in Education Conference, ICCE 2021 - Proceedings. All rights reserved; 29th International Conference on Computers in Education Conference, ICCE 2021 ; Conference date: 22-11-2021 Through 26-11-2021",
year = "2021",
month = nov,
day = "22",
language = "English (US)",
series = "29th International Conference on Computers in Education Conference, ICCE 2021 - Proceedings",
publisher = "Asia-Pacific Society for Computers in Education",
pages = "69--74",
editor = "Rodrigo, {Maria Mercedes T.} and Sridhar Iyer and Antonija Mitrovic and Cheng, {Hercy N. H.} and Dan Kohen-Vacs and Camillia Matuk and Agnieszka Palalas and Ramkumar Rajenran and Kazuhisa Seta and Jingyun Wang",
booktitle = "29th International Conference on Computers in Education Conference, ICCE 2021 - Proceedings",
}