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This report provides an in-depth analysis of the state-of-the-art research and technologies of e-portfolio analysis, and elicit the current situation and the needs of students and teachers in the context of e-portfolios in higher education. It summarizes the results of this problem and context analysis within the AISOP project and builds the foundation for developing a user-centred tool infrastructure for AI-based e-portfolio analysis.
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.
