The increasing trend of sharing educational resources on the World Wide Web has attracted several contributions from the research community. Since most Technology Enhanced Learning users retrieve resources from the Web for teaching or learning, the Web is recognised as a repository of educational material. A big issue in automatic retrieval of online resources is that the Web is a huge and mostly unorganised space. Hence, there is no guarantee that items retrieved by current search engines are appropriate for educational uses. Automatically identifying Web-content suitable for education is one of the most challenging objectives because it requires extraordinary attention. Studies in Technology Enhanced Learning have proposed several solutions to support the teaching and learning needs of instructors and pupils within an enclosed platform. Other studies offer different techniques for collecting resources from the open Web that have specific characteristics. This work aims to gather findings and results from such studies for establishing a set of guidelines for researchers in education, expecting to improve the development of future proposals in this field.
Limongelli, C., Lombardi, M., Marani, A. (2019). Guidelines for TEL researchers on discovering and eliciting educational features in web resources. In 2019 18th International Conference on Information Technology Based Higher Education and Training, ITHET 2019 (pp.1-7). Institute of Electrical and Electronics Engineers Inc. [10.1109/ITHET46829.2019.8937358].
Guidelines for TEL researchers on discovering and eliciting educational features in web resources
Limongelli C.;Lombardi M.;Marani A.
2019-01-01
Abstract
The increasing trend of sharing educational resources on the World Wide Web has attracted several contributions from the research community. Since most Technology Enhanced Learning users retrieve resources from the Web for teaching or learning, the Web is recognised as a repository of educational material. A big issue in automatic retrieval of online resources is that the Web is a huge and mostly unorganised space. Hence, there is no guarantee that items retrieved by current search engines are appropriate for educational uses. Automatically identifying Web-content suitable for education is one of the most challenging objectives because it requires extraordinary attention. Studies in Technology Enhanced Learning have proposed several solutions to support the teaching and learning needs of instructors and pupils within an enclosed platform. Other studies offer different techniques for collecting resources from the open Web that have specific characteristics. This work aims to gather findings and results from such studies for establishing a set of guidelines for researchers in education, expecting to improve the development of future proposals in this field.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
