Enrollments in distance-learning scenarios have been tremendously rising. Here, the ability of students to receive answers to questions is hindered due to an uneven educator-student ratio. Students often do not receive quick answers to simple questions, and educators feel stressed by answering the same questions repeatedly. However, advances in Natural-Language-Processing and Machine Learning bear the opportunity to design new forms of human-computer interaction by embedding question-answering (Q&A) models in conversational agents. Such a system enables students to receive personalized answers independent of an instructor, time, and location. This paper presents the first steps of our design science research project on designing a student-centered Q&A system that helps learners receive personalized answers in large-scale settings. Based on social response theory and user interviews, we propose five design principles for the design of a conversational Q&A system. Furthermore, we instantiate those principles as design features in a natively built prototype.
%0 Conference Paper
%1 wambsganss2021towards
%A Wambsganss, Thiemo
%A Haas, Leonie
%A Söllner, Matthias
%B European Conference on Information Systems (ECIS) 2021
%D 2021
%I ECIS
%K itegpub pub_msö pub_wise-kassel
%T Towards the Design of a Student-Centered Question-Answering System in Educational Settings
%X Enrollments in distance-learning scenarios have been tremendously rising. Here, the ability of students to receive answers to questions is hindered due to an uneven educator-student ratio. Students often do not receive quick answers to simple questions, and educators feel stressed by answering the same questions repeatedly. However, advances in Natural-Language-Processing and Machine Learning bear the opportunity to design new forms of human-computer interaction by embedding question-answering (Q&A) models in conversational agents. Such a system enables students to receive personalized answers independent of an instructor, time, and location. This paper presents the first steps of our design science research project on designing a student-centered Q&A system that helps learners receive personalized answers in large-scale settings. Based on social response theory and user interviews, we propose five design principles for the design of a conversational Q&A system. Furthermore, we instantiate those principles as design features in a natively built prototype.
@inproceedings{wambsganss2021towards,
abstract = {Enrollments in distance-learning scenarios have been tremendously rising. Here, the ability of students to receive answers to questions is hindered due to an uneven educator-student ratio. Students often do not receive quick answers to simple questions, and educators feel stressed by answering the same questions repeatedly. However, advances in Natural-Language-Processing and Machine Learning bear the opportunity to design new forms of human-computer interaction by embedding question-answering (Q&A) models in conversational agents. Such a system enables students to receive personalized answers independent of an instructor, time, and location. This paper presents the first steps of our design science research project on designing a student-centered Q&A system that helps learners receive personalized answers in large-scale settings. Based on social response theory and user interviews, we propose five design principles for the design of a conversational Q&A system. Furthermore, we instantiate those principles as design features in a natively built prototype.},
added-at = {2021-07-13T12:31:01.000+0200},
author = {Wambsganss, Thiemo and Haas, Leonie and Söllner, Matthias},
biburl = {https://www.bibsonomy.org/bibtex/283168db5b67618c85828d312d6b1655f/wise-kassel},
booktitle = {European Conference on Information Systems (ECIS) 2021},
interhash = {790adda7656b390aecdf619bc3aae0a3},
intrahash = {83168db5b67618c85828d312d6b1655f},
keywords = {itegpub pub_msö pub_wise-kassel},
publisher = {ECIS},
timestamp = {2021-07-13T12:31:01.000+0200},
title = {Towards the Design of a Student-Centered Question-Answering System in Educational Settings},
year = 2021
}