Implementation of a Computational Chemistry Laboratory to Support Chemistry Learning
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Abstract
Understanding the impact of using laboratories on learning is fundamental when planning experimental activities that foster student learning. To this end, the implementation of a “dry” laboratory is presented, in which, in an organic chemistry course, molecules are modeled through computational chemistry to visualize and understand different topics associated with the course development through reactivity indices and the electronic nature of matter. . From the implementation, students were able to use specific software that allowed them to model organic molecules along with electronic properties of interest for the course development. A high interest in the methodology was evidenced from the teachers’ observations and positive learning experiences, measured through an adaptation of the Meaningful Learning in the Laboratory Instrument (MLLI).
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