Abstract
In contemporary societies higher education must shape individuals able to solve problems in a workable and simpler manner and, therefore, a multidisciplinary view of the problems, with insights in disciplines like psychology, mathematics or computer science becomes mandatory. Undeniably, the great challenge for teachers is to provide a comprehensive training in General Chemistry with high standards of quality, and aiming not only at the promotion of the student’s academic success, but also at the understanding of the competences/skills required to their future doings. Thus, this work will be focused on the development of an intelligent system to assess the Quality-of-General-Chemistry-Learning, based on factors related with subject, teachers and students.
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Figueiredo, M., Neves, J., Vicente, H. (2016). A Soft Computing Approach to Quality Evaluation of General Chemistry Learning in Higher Education. In: Caporuscio, M., De la Prieta, F., Di Mascio, T., Gennari, R., Gutiérrez Rodríguez, J., Vittorini, P. (eds) Methodologies and Intelligent Systems for Technology Enhanced Learning . Advances in Intelligent Systems and Computing, vol 478. Springer, Cham. https://doi.org/10.1007/978-3-319-40165-2_9
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DOI: https://doi.org/10.1007/978-3-319-40165-2_9
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Online ISBN: 978-3-319-40165-2
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