Design and Evaluation of an Adaptive Dialog-Based Tutoring System for Argumentation Skills
Journal
International Conference on Information Systems (ICIS)
Type
conference paper
Date Issued
2020-12-13
Author(s)
Research Team
IWI6
Abstract
Recent advances in Natural Language Processing not only bear the opportunity to design new dialog-based forms of human-computer interaction but also to analyze the argumentation quality of texts. Both can be leveraged to provide students with individual and adaptive tutoring in their personal learning journey to develop argumentation skills. Therefore, we present the results of our design science research project on how to design an adaptive dialog-based tutoring system to help students to learn how to argue. Our results indicate the usefulness of an adaptive dialog-based tutoring system to support students individually, independent of a human instructor, time and place. In addition to providing our embedded software artifact, we document our evaluated design knowledge as a design theory. Thus, we provide the first step toward a nascent design theory for adaptive conversational tutoring systems to individual support metacognition skill education of students in traditional learning scenarios.
Language
English
Keywords
adaptive learning
argumentation learning
argumentation mining
dialog-based learning systems
pedagogical conversational agents
HSG Classification
contribution to scientific community
Event Title
International Conference on Information Systems (ICIS)
Event Location
Hyderabad, India
Event Date
13.12.2020-16.12.2020
Subject(s)
Division(s)
Eprints ID
261297
File(s)![Thumbnail Image]()
Name
JML_807.pdf
Size
1.26 MB
Format
Adobe PDF
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