Conception of a System Architecture for the AI-Supported Observation of e-Portfolios
- In this report, we present a system architecture and technical infrastructure that allows for a seamless integration of a standard e-portfolio platform, suitable AI-based tool chains, and interactive dashboard applications for students and teachers. This is followed by a description of how the architecture's components interact in a typical analysis workflow. Furthermore, we examine the development of an integrated knowledge architecture for guiding the semantic analysis of e-portfolios considering two different knowledge resources. The proposed architecture is the first draft of an AI-supported e-portfolio analysis system to be used in real-life scenarios at the University of Education in Weingarten.
Author: | Wolfgang Müller, Sandra Rebholz, Paul Libbrecht, Alexander Gantikow, Andreas Isking, Thierry Declerck |
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URN: | urn:nbn:de:bsz:747-opus4-4717 |
Document Type: | Report |
Language: | English |
Date of Publication (online): | 2023/04/29 |
Creating Corporation: | Pädagogische Hochschule Weingarten, Fach Mediendidaktik |
Release Date: | 2023/05/11 |
Tag: | Artificial Intelligence in Education; Learning Analytics Dashboard; Natural Language Processing; Ontologies; e-Portfolios |
Page Number: | 7 |
Institutes: | Pädagogische Hochschule Weingarten |
Licence (German): | ![]() |