Proposal of an Architecture for the Integration of a Chatbot with Artificial Intelligence in a Smart Campus for the Improvement of Learning

TLDR

Traditional masterclass-based teaching is inefficient, while technology-enabled environments can foster active learning, yet implementing such environments is complex due to numerous variables. The study seeks to identify variables by analyzing student-generated data to classify patterns according to individual needs. After identifying needs, decisions are made to enhance each student's learning through artificial intelligence.

Abstract

Traditional teaching based on masterclasses or techniques where the student develops a passive role has proven to be inefficient methods in the learning process. The use of technology in universities helps to generate active learning where the student’s interest improves making him the main actor in his education. However, implementing an environment where active learning takes place requires a great deal of effort given the number of variables involved in this objective. To identify these variables, it is necessary to analyze the data generated by the students in search of patterns that allow them to be classified according to their needs. Once these needs are identified, it is possible to make decisions that contribute to the learning of each student; for this, the use of artificial intelligence is considered. These techniques emulate the processes of human thought using structures that contain knowledge and experience of human experts.