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Paper Type
Complete
Description
The overall goal of this design-oriented research study is to foster the dissemination of educational chatbots. Even though prior research has shown that educational chatbots can have positive effects on learning and teaching, we observe that the technology is currently only used rarely. Lately, technical challenges in creating educational chatbots have been reduced. Nevertheless, a major challenge remains: the availability of tailored learning materials stored in knowledge bases. Such well-design knowledge bases are currently needed for educational chatbots that are specifically designed for courses. To support educators in creating knowledge bases, we propose a semi-automated knowledge base generation process and develop a corresponding app that uses techniques from text mining. In our evaluation, we compared the results of the semi-automated approach with a manually created knowledge base from a prior study. The results indicate that the semi-automated approach is able to provide an efficient way to create a knowledge base.
Paper Number
1212
Recommended Citation
Hobert, Sebastian, "Bringing Educational Chatbots into the Field: Towards a Semi-Automated Knowledge Base Generation App for Educational Chatbots" (2023). AMCIS 2023 Proceedings. 4.
https://aisel.aisnet.org/amcis2023/sig_ed/sig_ed/4
Bringing Educational Chatbots into the Field: Towards a Semi-Automated Knowledge Base Generation App for Educational Chatbots
The overall goal of this design-oriented research study is to foster the dissemination of educational chatbots. Even though prior research has shown that educational chatbots can have positive effects on learning and teaching, we observe that the technology is currently only used rarely. Lately, technical challenges in creating educational chatbots have been reduced. Nevertheless, a major challenge remains: the availability of tailored learning materials stored in knowledge bases. Such well-design knowledge bases are currently needed for educational chatbots that are specifically designed for courses. To support educators in creating knowledge bases, we propose a semi-automated knowledge base generation process and develop a corresponding app that uses techniques from text mining. In our evaluation, we compared the results of the semi-automated approach with a manually created knowledge base from a prior study. The results indicate that the semi-automated approach is able to provide an efficient way to create a knowledge base.
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