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Automatic system for pairs collaborative learning based on clinical cases.

  • Gallegos Segovia, Pablo Leonidas (Director)
  • Bravo Torres, Jack Fernando (Co-Director)
  • Alvarado Cordero, Jacinto Jose (Researcher)
  • Astudillo Ortiz, Jaime Leonardo (Researcher)
  • Bravo Torres, Wilson Daniel (Researcher)
  • Leon Vintimilla, Maria De Lourdes (Researcher)
  • Palacios Astudillo, Ivan Andres (Researcher)
  • Guerrero Vasquez, Luis Fernando (Research Associate)
  • Leon Paredes, Gabriel Alejandro (Research Associate)
  • Ordonez Ordonez, Jorge Osmani (Research Associate)
  • Ordoñez-Morales, Esteban Fernando (Research Associate)

Project: Research

Project Details

Description

The way of interacting people has drastically changing over the years. Most conventional computer systems have evolved, this can be observed in purchases, recommendation systems, health, learning, among others. All these systems are improving and adapting to each of the users in a differentiated way. In the learning process, it is easier to capture the ideas than a tutor or expert in the subject wants to convey to an apprentice, if done through examples. At present, this process is based on technology, where the concept of e-learning was born, which refers to learning through electronic media, especially the Internet, using digital tools and applications such as support for teaching and learning. This reality is no stranger to higher education, the teaching -learning processes of different professionals can be strongly stimulated through the use of information and communication technologies (ICTs). Many examples of its use can be widely found in literature. Since the use of mobile devices as an educational environment (M-Learning), social networks such as sociabilization-based parent stimulation (virtual learning communities), learning management platforms (Moodle), massive learning processes (MOOCs), among others, are all examples of how technology is opening the field of higher education.

Call for Applications

OUT OF CALL – EXTERNAL FUNDS
Short titleAutomatic system collaborative learning
StatusFinished
Effective start/end date27/04/1728/02/19

Keywords

  • E Learning
  • M Learning
  • Teleodontology

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