Support to the learning of the Chilean tax system using artificial intelligence through a chatbot

Effective student learning has become a challenge for teachers in recent years. In the case of the teaching of regulations related to corporate taxes, this challenge is even greater due to the inclusion of external variables that hinder the learning process, such as the high complexity of tax systems, the variability of legislation, among others. In view of the above, different alternatives have been provided to support the teaching process both outside and inside the classroom, ranging from recreational activities to active learning. Artificial intelligence in the last decade has begun to be used in different spheres, from image recognition to decision making; thus, in this research the experience resulting from using artificial intelligence through a chatbot to support the learning of the regulations related to corporate taxes in the Chilean tax system will be appreciated. To this end, an experiment was conducted with two sample groups, called experimental and control groups, to a total of 34 students, where the results obtained are promising in comparison with other methodologies.