This paper presents a model for school remedial, focusing on improving the digital materials sharing process for the diversification of tutoring strategies. The model involves the characterization of materials for automatic assessment shared within a community of tutors. The characterization expects materials to be linked with natural language descriptors explicating their intended instructional objectives. The possibility of implementing a recommendation system on the basis of natural language processing techniques is discussed taking in consideration an analysis of the application of the model within a local-scale project. Clustering techniques searching for materials that have the same educational purposes but involve the activation of different cognitive processes are proposed, in order to continuously extend the database of shared materials in favour of the effectiveness of ongoing tutoring actions. The results collected from questionnaires submitted to students, tutors, and teachers involved in the project are shown, and clustering data are discussed highlighting the feasibility of the application of the model.
Titolo: | Sharing system of learning resources for adaptive strategies of scholastic remedial intervention |
Autori Riconosciuti: | |
Autori: | Barana, Alice; Di Caro, Luigi; Fioravera, Michele ; Floris, Francesco ; Marchisio, Marina; Rabellino, Sergio |
Data di pubblicazione: | 2018 |
Abstract: | This paper presents a model for school remedial, focusing on improving the digital materials sharing process for the diversification of tutoring strategies. The model involves the characterization of materials for automatic assessment shared within a community of tutors. The characterization expects materials to be linked with natural language descriptors explicating their intended instructional objectives. The possibility of implementing a recommendation system on the basis of natural language processing techniques is discussed taking in consideration an analysis of the application of the model within a local-scale project. Clustering techniques searching for materials that have the same educational purposes but involve the activation of different cognitive processes are proposed, in order to continuously extend the database of shared materials in favour of the effectiveness of ongoing tutoring actions. The results collected from questionnaires submitted to students, tutors, and teachers involved in the project are shown, and clustering data are discussed highlighting the feasibility of the application of the model. |
Editore: | Valencia: Editorial Universitat Politècnica de Vàlencia |
Titolo del libro: | Proceedings of the 4rd International Conference on Higher Education Advances (HEAd’18) |
Pagina iniziale: | 1495 |
Pagina finale: | 1503 |
Nome del convegno: | 4rd International Conference on Higher Education Advances (HEAd’18) |
Luogo del convegno: | Valencia |
Anno del convegno: | 20-22 giugno 2018 |
Digital Object Identifier (DOI): | http://dx.doi.org/10.4995/HEAd18.2018.8232 |
ISBN: | 978-84-9048-690-0 |
Appare nelle tipologie: | 04A-Conference paper in volume |
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