چکیده (انگلیسی):

The inclusion of General Chemistry (GC) in the curricula of higher education courses in science and technology aims, on the one
hand, to develop students' skills necessary for further studies and, on the other hand, to respond to the need of endowing future
professionals of knowledge to analyze and solve multidisciplinary problems in a sustainable way. The participation of students in
the evaluation of the role played by the GC in their training is crucial, and the analysis of the results can be an essential tool to
increase success in the education of students and improving practices in various professions. Undeniably, this work will be
focused on the development of an intelligent system to assess the role of GC. The computational framework is built on top of a
Logic Programming approach to Knowledge Representation and Reasoning, complemented with a problem solving methodology
moored on Artificial Neural Networks. The results so far obtained show that the proposed model stands for a good start, being its
overall accuracy higher than 95%.