Emerging Technologies: Artificial Intelligence-Based University Virtual Assistant Design

Abstract

This research had the general purpose of proposing emerging technologies: through a university virtual assistant design based on artificial intelligence, originated from the problems presented by the majority of students in the areas of medicine, agricultural engineering and education in some curricular units, and in the absence of resources for their participation in the classroom. In such a way that, this study was based on the theories of the experiential learning model proposed by Kolb (1984), the theory of connectivism by Siemens (2005), the theory of cognitive load proposed by Sweller (1988), and the theory of personal learning. Suggested by Brusilovskis and Millāns (2007). On the other hand, the methodology approached was through the complex thought of Morín (2012), under the mixed method approach, complementing the ethnographic method with the rational one, which favored applying both interviews and questionnaires to a representative sample of 21 people, to who were applied interviews and questionnaires that were analyzed both by descriptive statistics, and by the process of categorization, structuring and triangulation. The results expressed that medical students present problems in anatomy, physiology, pharmacology, engineering students in chemistry and mathematics, and education students in adaptation to classroom resources due to their hearing and visual disability. Therefore, it is concluded, the need to create a university virtual assistant based on artificial intelligence, which can help them at any time and place in the problems they present in these subjects and give them permanent feedback.