This paper presents a newborn collaboration between heterogeneous AI competences. In particular, it describes current work on the integration of machine learning techniques for the automatic generation of contents for an Intelligent Tutoring System grounded on automated planning techniques. The joint use of these two approaches allows on the one hand to facilitate the task of instructional designers in defining and preparing courses, and on the other hand to dynamically support the use of content according to different users context.

Cesta, A., Cortellessa, G., De Benedictis, R., De Medio, C., Fracasso, F., Limongelli, C. (2019). Toward Automated Courseware Production for the ExPLoRAA Learning Environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp.528-541). Springer [10.1007/978-3-030-35166-3_37].

Toward Automated Courseware Production for the ExPLoRAA Learning Environment

De Medio C.;Limongelli C.
2019-01-01

Abstract

This paper presents a newborn collaboration between heterogeneous AI competences. In particular, it describes current work on the integration of machine learning techniques for the automatic generation of contents for an Intelligent Tutoring System grounded on automated planning techniques. The joint use of these two approaches allows on the one hand to facilitate the task of instructional designers in defining and preparing courses, and on the other hand to dynamically support the use of content according to different users context.
2019
978-3-030-35165-6
Cesta, A., Cortellessa, G., De Benedictis, R., De Medio, C., Fracasso, F., Limongelli, C. (2019). Toward Automated Courseware Production for the ExPLoRAA Learning Environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp.528-541). Springer [10.1007/978-3-030-35166-3_37].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/375736
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