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: The Intelligent Layer that includes a virtual learning environment, The Infrastructure Layer based on the Cloud Computing, and The Regulation Model. 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 creative, logic and process thinking styles of undergraduate students.
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Silva-López, R.B., Herrera-Alcántara, O., Fallad-Chávez, J. (2017). Strategic Learning Meta-model (SLM): Architecture of the Regulation Model (RM) Based on the Cloud Computing. In: Sucar, E., Mayora, O., Munoz de Cote, E. (eds) Applications for Future Internet. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 179. Springer, Cham. https://doi.org/10.1007/978-3-319-49622-1_19
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