An educational environment based on digital image processing to support the learning process of biomaterials degradation in stem cells

Y. Robles-Bykbaev, S. Naya, J. Tarrio-Saavedra, S. Diaz-Prado, C. Sanjurjo, F. Blanco, J. Cornejo-Reyes, L. Garzon, D. Calle-Lopez, V. Robles-Bykbaev

Research output: Contribution to conferencePaper

Abstract

© 2018 IEEE. The Poly(DL-lactide-co-glycolide) copolymers (PDLGA) have designed and performed as biomaterials, taking into account their biodegradability and biocompatibility properties. These materials have a wide range of application in medicine such as orthopedic implants, general surgical implants (suture materials), osteosynthesis, bone cement, among many others. For these reasons, in this paper, we present an intelligent educational environment that can be used for both, researchers and students interested in the analysis of the biomaterial behavior under certain conditions. Our platform includes a Learning Objects (LOs) for MOODLE, and in the same way, implements several digital image processing techniques as well as a decision support module based on a random forest algorithm and statistical modeling. With the aim of determining the real feasibility of this proposal, we have presented the system to 34 Ecuadorian engineering students. After testing the platform, the students answered a survey aimed at determining their perception of the system. The results provide several guidelines to continue with the developing of the platform.
Original languageEnglish
DOIs
StatePublished - 6 Nov 2018
Externally publishedYes
EventProceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018 -
Duration: 6 Nov 2018 → …

Conference

ConferenceProceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
Period6/11/18 → …

Fingerprint

Dive into the research topics of 'An educational environment based on digital image processing to support the learning process of biomaterials degradation in stem cells'. Together they form a unique fingerprint.

Cite this