Learning Analytics and Recommender Systems toward Remote Experimentation

This paper presents a process based on learning analytics and recom- mender systems to provide suggestions to students about remote laboratories ac- tivities in order to scaffold their performance. For this purpose, the records of remote experiments from the VISIR project were analyzed taking into a...

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Bibliographic Details
Main Author: Alexandre, L. Gonçalves (author)
Other Authors: Alves, Gustavo R. (author), Carlos, Lucas M. (author), Silva, Juarez B. da (author), Alves, João B. da M. (author)
Format: conferenceObject
Language:eng
Published: 2019
Subjects:
Remote Experimentation
Learning Analytics
Recommender Systems
Online Access:http://hdl.handle.net/10400.22/12947
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/12947

Internet

http://hdl.handle.net/10400.22/12947

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