Rafaela Blanca Silva-López

Onto Design Graphics (ODG): A Graphical Notation to Standardize Ontology Design

Ontology design is a complex task that requires the use of some graphical tools to assist the ontology developer. Although there have been great advances in ontology engineering research, a standard graphical notation has not been adopted yet. In this paper we propose a graphical notation for ontology design aiming at facilitating to share and reuse ontology designs between ontology users. Some authors propose the mapping of ontology elements with Unified Modeling Language (UML) components. However, a direct association between UML elements and ontology design issues does not exist. OntoDesign Graphics is an easy to learn graphical notation that it is used for displaying visually the elements of the ontology design, facilitating the design and integration of other designs clearly and efficiently.

Strategic Learning Meta-Model (SLM): Architecture of the Personalized Virtual Learning Environment (PVLE) Based on the Cloud Computing

In this paper a Personalized Virtual Learning Environment (PVLE) architecture is presented which integrates three components is as follows: (I) the Learning Management System (LMS); (II) the Virtual Learning Environment (VLE); and (III) the Ontological Model (OM). The components were implemented as a solution for Cloud Computing. The fieldwork considered two stages: a proof of concept that is used as a benchmark and test cases where the PVLE were applied. We observed during the performance of stage 1 the average scores for thought styles (logical processes, creative, relational) considerably remain unchanged. While in stage 2, we observed the scores average has increased, with a tendency to improve creative, logical and process styles. Therefore, there is a significant contribution in the development of students’ cognitive profile to personalize its learning activities and the use of PVLE.

Strategic Learning Meta-model (SLM): Architecture of the Regulation Model (RM) Based on the Cloud Computing

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.

A FLIPPED LEARNING APPROACH USING SOCIAL MEDIA. STUDY CASE: ELEMENTAL PROGRAMMING IN HIGHER EDUCATION

1)Design. The information was classified and organized on the synthetic program basis of UEAand presentations are designed for each particular topic. The prepared presentations are reviewed by the teachers who are experts in the teaching subject to determine if they are appropriate o not. Once teacher approved subject content, animations are incorporated into the slides, so the explanation is clear and brief, and finally, the knowledge capsules are built. The following tools were used: power point, Camtasia, ExeLearning, SAKAI, Bright space of D2L and iTunes University with Course Manager.

Strategic Learning Meta-model: A Selection Model of Learning Activities

In this work we present a Selection Model of Learning Activities (SMLA) in a Personalized Virtual Learning Environment. The SMLA consists of a model to evaluate and classify academic activities based on its difficulty, so the difficult or easy activities are replaced with other with intermediate difficulty . The SMLA is part of a Strategic Learning Metamodel that is conformed by three layers: (i) the intelligent layer that includes a personalized virtual learning environment, (ii) the infrastructure layer based on the Cloud Computing, and (iii) the regulation model that provides a control of the activities assigned to the learners based on the Full-Brain theory. We develop four experiments that implement the SMLA, and we observed that the model with activities with difficulty between 0.2 and 0.85 produces an enhancement int the academic performance of the students.

Techno Neuro Pedagogy System: An Instructional Design Methodology for Customized Online Courses (Virtual Customized Environment Learning)

The Techno Neuro Pedagogy System (TNPS) is a systemic process with interrelated activities that allows you to create environments that facilitate the mediation processes on knowledge construction in virtual environments. Similarly to life cycle in software development, it consists of eight phases: analysis, design, development, testing, implementation, documentation, maintenance, and evaluation. TNPS incorporates a life cycle model of incremental and iterative software development that is an essential part of software engineering. TNPS integrates Education, Neuroscience and Technological dimensions, which facilitate the development of cognitive profile of student thinking in order to customize his/her learning activities. In our experiments, an increment in the weights of thinking style used by the students on a Structured Programming course was observed.