This paper presents a model for structuring shared resources, proposed to activate learners’ formative and proactive assessment processes by enhancing the sharing-workflow among instructors. The model is based on the features of a Virtual Learning Community (VLC), and provides for the development and reuse of ontologies. The adoption of the model for the implementation of an adaptive system for the dispatching of materials is discussed on the basis of the results from clustering analyses. Semantic-similarity measures are compared by their application for clustering a collection of mathematical questions for automatic assessment, created by instructors within a national-wide VLC for Secondary Schools.

Towards adaptive systems for automatic formative assessment in virtual learning communities

Luigi Di Caro;Michele Fioravera;Marina Marchisio;Sergio Rabellino
2018-01-01

Abstract

This paper presents a model for structuring shared resources, proposed to activate learners’ formative and proactive assessment processes by enhancing the sharing-workflow among instructors. The model is based on the features of a Virtual Learning Community (VLC), and provides for the development and reuse of ontologies. The adoption of the model for the implementation of an adaptive system for the dispatching of materials is discussed on the basis of the results from clustering analyses. Semantic-similarity measures are compared by their application for clustering a collection of mathematical questions for automatic assessment, created by instructors within a national-wide VLC for Secondary Schools.
2018
2018 42nd IEEE International Conference on Computer Software & Applications
Tokyo
23-27 luglio 2018
Proceedings of 2018 IEEE 42nd Annual Computer Software and Applications Conference
IEEE
1
1000
1005
978-1-5386-2666-5
adaptive system; formative automatic assessment; ontology; semantic similarity clustering; virtual learning community.
Luigi Di Caro, Michele Fioravera, Marina Marchisio, Sergio Rabellino
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1670001
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