Toward a More Personalized MOOC: Data Analysis to Identify Drinking Water Production Operators’ Learning Characteristics—An Ecuador Case

Only 35% of the Ecuadorian population consumes drinking water “assured quality”. One causes is related to deficiencies in technical ability operators due their lack education, training, and experience. Massive open online courses (MOOCs) responsive characteristics learning needs are an option strengthen skills operators. The goal present study therefore describe a methodology that includes application survey use statistical methods such as categorical principal component analysis (CATPCA) cluster identify assess characteristics. results most frequent variables personal, academic, emotional, social, cognitive aspects. They also show preferences Finally, it concluded this identifies common characteristics, needs, relevant for creation quality personalized instructional design MOOCs.