A Recommender System Architecture for instructional engineering

Prieto, Manuel E.; Menendez, Victor H.; Segura, Alejandra A.; Vidal, Christian L.; Lytras, MD; Carroll, JM; Damiani, E; Tennyson, RD

Abstract

In recent years, Recommender System's models and techniques. have been applied in e-Leaming and main efforts are been centered in learners. their Guide and their success when using Learning Management Systems and other Web-based and virtual artifacts. Several techniques were adapted or even developed for this purposes. Our current project is concerned to the need to develop a Recommender System Architecture that may assist teachers in their e-Learning design practices. Instructional Design Methods, Learning Theories, Efficient Searching Methods and Tools and Meta-data Managing, are examples of the necessary knowledge and abilities. In this document we are centered in presenting the overall system architecture and describing their main parts. We are also reporting actual results. Due to it's wide conception, this project involves Knowledge Engineering. Software Engineering, Machine Learning Semantic Web Searching, and Data Mining models and tools.

Más información

Título según WOS: ID WOS:000259442700035 Not found in local WOS DB
Título de la Revista: EDUCATING FOR A NEW FUTURE: MAKING SENSE OF TECHNOLOGY-ENHANCED LEARNING ADOPTION, EC-TEL 2022
Volumen: 5288
Editorial: SPRINGER INTERNATIONAL PUBLISHING AG
Fecha de publicación: 2008
Página de inicio: 314
Página final: +
Notas: ISI