Beitrag in einem Tagungsband
Towards the Design of a Student-Centered Question-Answering System in Educational Settings
Details zur Publikation
Autor(inn)en: | Wambsganss, T.; Haas, L.; Söllner, M. |
Herausgeber: | ECIS |
Verlagsort / Veröffentlichungsort: | Marrakech |
Publikationsjahr: | 2021 |
Seitenbereich: | NN |
Buchtitel: | ECIS 2021 Research-in-Progress Papers. 7 |
URN / URL: |
Zusammenfassung, 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.
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.
