Abstract: The use of the project-based learning approach is one of the emerging trends in education and Adaptive e-Learning platforms. One of the main challenges in this line of research is to identify the learning style of students, whose results are considered in this work, for the assignment of course projects which best suit the characteristics of each student in particular as they incorporate different types of learning strategies and objects in order to contribute to facilitate and simplify the teaching/learning process of the adaptive e-Learning platform, which uses the project-based learning approach. In this work, after carrying out a review of the literature for the theoretical foundation and establishment of the state of Art, a line module of automatic recognition of learning styles is proposed, which uses the information of the interaction of the student with the system and the one that is based on Neural Networks and Fuzzy Logic, whose results are considered by the module of selection and assignment of projects that uses the Case Base Reasoning, later carrying out the tests and the analysis of the results obtained.

Luis Alfaro, Erick Apaza, Jorge Luna-Urquizo and Claudia Rivera, “Identification of Learning Styles and Automatic Assignment of Projects in an Adaptive e-Learning Environment using Project Based Learning” International Journal of Advanced Computer Science and Applications(IJACSA), 10(11), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0101191

@article{Alfaro2019,
title = {Identification of Learning Styles and Automatic Assignment of Projects in an Adaptive e-Learning Environment using Project Based Learning},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0101191},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0101191},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {11},
author = {Luis Alfaro and Erick Apaza and Jorge Luna-Urquizo and Claudia Rivera}
}