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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.

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Author:Wolfgang Müller, Sandra Rebholz, Paul Libbrecht, Alexander Gantikow, Andreas Isking, Thierry Declerck
Document Type:Report
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):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International