MEET – my Chatbot

During the course of this project, the development and implementation of a chatbot for teaching purposes is explored and academically accompanied. Within the transformation of the “ERP Lab Exercises” module into a scalable MOOC, the core focus lies on the individualisation of interview scenarios. In this regard the chatbot simulates a randomly generated company according to pre-determined profile properties. In an interview conducted online, the student can with the help of a guideline ask questions to the chatbot, whict acts as a virtual business, helping the student better comprehend and train for the consulting process. Due to the fact that the chatbot can simulate multiple companies, we decided to aptly name it: The Multi Entity Enterprise Trainer.

On the following pages, you may find the current version of the chatbot as well as the corresponding research publications.

Clear here to access the Chatbot.

Research Publications

2019 | Who Am I and How Many? A Multi-Entity Chatbot as Business-Interview Simulator to Scale Individualized Practical Assignments in MOOCs

This research was presented during the annual EdMedia + Inovate Learning 2019 Conference in Amsterdam.

Abstract

Despite their growing popularity, MOOCs still suffer from high dropout rates and non-individualized, simple theoretical tasks. To implement individualized practical assignments that keep learners involved still remains a major challenge. This paper presents a multi-entity chatbot that we developed to improve the scalability and individualization of a practical assignment in a MOOC-like online university course. The chatbot serves as a business-interview simulator to prepare students for interviews at the beginning of ERP consulting projects. Besides introducing the architecture of the chatbot and elaborating on its individualization options and limitations regarding specific learning objectives, we further present evaluation results from a test run with 38 students.

Paper

to be updated

Authors

Lars Bollweg
Fachhochschule Südwestfalen

Asif Shariar
Fachhochschule Südwestfalen

Robert Stemmermann
Fachhochschule Südwestfalen

Peter Weber
Fachhochschule Südwestfalen

2018 | When Robots Talk – Improving the Scalability of Practical Assignments in MOOCs Using Chatbots

This research was presented during the annual EdMedia + Inovate Learning 2018 Conference in Amsterdam.

Abstract

Massive Open Online Courses (MOOC) have evolved into a standard educational offer. However, due to limited resources, the individualized provision and evaluation of practical assignments in MOOCs is still a major challenge. The following paper offers insights on how chatbots can help to overcome this limitation by improving the scalability of practical assignments. To do so, we look at available individualization options for assignments and review the documented usage of chatbots in eLearning literature. Further, we report on our findings from a case study, in which we developed, tested and evaluated a chatbot prototype that generates individualized interview experiences for students.

Paper

When Robots Talk – Improving the Scalability of Practical Assignments in MOOCs Using Chatbots

Authors

Lars Bollweg
Fachhochschule Südwestfalen

Asif Shariar
Fachhochschule Südwestfalen

Maik Kurzke
Fachhochschule Südwestfalen

Peter Weber
Fachhochschule Südwestfalen