Today’s graduating students face ever-changing environments when they enter their job life. Educational institutions must therefore continuously develop their course structure and content in order to prepare their students to be future employees. A very important means for developing the courses is the students’ course evaluations. Due to financial and organizational restrictions, these course evaluations are usually carried out quantitatively and at the end of the semester. However, past research has shown that this kind of evaluation faces certain constraints such as low acceptance rates, only time-related insights and low-quality answers that do not really help the lecturer to improve the course. Drawing on social response theory, we propose that conversational agents as a formative course evaluation tool are able to address the mentioned problems by interactively engaging with students. Therefore, we propose a set of design principles and evaluate them with our prototype Eva.
%0 Conference Paper
%1 Wambsganss_2020
%A Wambsganss, Thiemo
%A Winkler, Rainer
%A Schmid, Pascale
%A Söllner, Matthias
%B 15th International Conference on Wirtschaftsinformatik (WI)
%D 2020
%K Argumentation_Learning Argumentation_Tool Collaborative_Learning Intelligent_Tutoring_Systems Technology-Based_Learning_Systems itegpub pub_msö pub_wise-kassel
%P 1234-1249
%R 10.30844/wi_2020_k7-wambsganss
%T Designing a Conversational Agent as a Formative Course Evaluation Tool
%U http://pubs.wi-kassel.de/wp-content/uploads/2020/11/JML_788.pdf
%X Today’s graduating students face ever-changing environments when they enter their job life. Educational institutions must therefore continuously develop their course structure and content in order to prepare their students to be future employees. A very important means for developing the courses is the students’ course evaluations. Due to financial and organizational restrictions, these course evaluations are usually carried out quantitatively and at the end of the semester. However, past research has shown that this kind of evaluation faces certain constraints such as low acceptance rates, only time-related insights and low-quality answers that do not really help the lecturer to improve the course. Drawing on social response theory, we propose that conversational agents as a formative course evaluation tool are able to address the mentioned problems by interactively engaging with students. Therefore, we propose a set of design principles and evaluate them with our prototype Eva.
@inproceedings{Wambsganss_2020,
abstract = {Today’s graduating students face ever-changing environments when they enter their job life. Educational institutions must therefore continuously develop their course structure and content in order to prepare their students to be future employees. A very important means for developing the courses is the students’ course evaluations. Due to financial and organizational restrictions, these course evaluations are usually carried out quantitatively and at the end of the semester. However, past research has shown that this kind of evaluation faces certain constraints such as low acceptance rates, only time-related insights and low-quality answers that do not really help the lecturer to improve the course. Drawing on social response theory, we propose that conversational agents as a formative course evaluation tool are able to address the mentioned problems by interactively engaging with students. Therefore, we propose a set of design principles and evaluate them with our prototype Eva.},
added-at = {2020-05-19T15:34:43.000+0200},
author = {Wambsganss, Thiemo and Winkler, Rainer and Schmid, Pascale and Söllner, Matthias},
biburl = {https://www.bibsonomy.org/bibtex/2ec8bd0011b75de6932da17cda2034c8d/wise-kassel},
booktitle = {15th International Conference on Wirtschaftsinformatik (WI)},
doi = {10.30844/wi_2020_k7-wambsganss},
interhash = {06883aaf28adc31797787fec50194c6c},
intrahash = {ec8bd0011b75de6932da17cda2034c8d},
keywords = {Argumentation_Learning Argumentation_Tool Collaborative_Learning Intelligent_Tutoring_Systems Technology-Based_Learning_Systems itegpub pub_msö pub_wise-kassel},
month = mar,
pages = {1234-1249},
timestamp = {2020-12-04T14:07:34.000+0100},
title = {Designing a Conversational Agent as a Formative Course Evaluation Tool},
url = {http://pubs.wi-kassel.de/wp-content/uploads/2020/11/JML_788.pdf},
year = 2020
}