A Pedagogical Approach of Machine Learning and Neural Computation
A Pedagogical Approach of Machine Learning and Neural Computation

Summary/Abstract: Teaching and learning certain technical subjects might be a challenge for both professors and students. This paper describes a methodology of instruction with examples in the field of machine learning and neural computation that could bring higher achievements and results in the teaching-learning-evaluation process. The model offers a foundation and framework upon which to build a teaching framework that will help professors to use specific pedagogical methodologies that – further on – might improve student achievement in the Artificial Intelligence field. The model described refers to the Taxonomy of Educational Objectives, proposed initially by Benjamin Bloom. The model is a way to classify instructional activities as they progress developmentally through six incremental levels: knowledge through memorization, understanding, application, analysis, evaluation, and creativity.

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