Research Article
Strategic Learning Meta-model (SLM): Architecture of the Regulation Model (RM) Based on the Cloud Computing
@INPROCEEDINGS{10.1007/978-3-319-49622-1_19, author={Rafaela Silva-L\^{o}pez and Oscar Herrera-Alc\^{a}ntara and Jalil Fallad-Ch\^{a}vez}, title={Strategic Learning Meta-model (SLM): Architecture of the Regulation Model (RM) Based on the Cloud Computing}, proceedings={Applications for Future Internet. International Summit, AFI 2016, Puebla, Mexico, May 25-28, 2016, Revised Selected Papers}, proceedings_a={AFI360}, year={2017}, month={1}, keywords={Regulation Model Personalized virtual learning environment Cloud computing Strategic learning Virtual learning environment}, doi={10.1007/978-3-319-49622-1_19} }- Rafaela Silva-López
Oscar Herrera-Alcántara
Jalil Fallad-Chávez
Year: 2017
Strategic Learning Meta-model (SLM): Architecture of the Regulation Model (RM) Based on the Cloud Computing
AFI360
Springer
DOI: 10.1007/978-3-319-49622-1_19
Abstract
In this work we present the architecture of the Regulation Model (RM) as a third layer of the Strategic Learning Meta-model (SLM). The SLM conforms a personalized virtual learning environment that consists of three layers: that includes a virtual learning environment, based on the Cloud Computing, and . The RM is based on the Ned Herman’s Whole Brain Theory that divides the brain into four quadrants associated to thinking styles. The RM considers six components: (i) The teacher; (ii) The learner or student; (iii) The process facilitator; (iv) The emotional facilitator; (v) The didactic material; and (vi) The learning activities. Our experiments implement the RM and consider five test cases. The experimental results show an improvement in the final scoring of , and thinking styles of undergraduate students.