Conversational machineschatbots in engineering education

  1. R. Dorado-Vicente 1
  2. L. Robles-Lorite 1
  3. E. Torres-Jiménez 1
  4. G. Medina-Sánchez 1
  5. A. García-Collado 1
  1. 1 Universidad de Jaén

    Universidad de Jaén

    Jaén, España


EDULEARN22 Proceedings: 14th International Conference on Education and New Learning Technologies : July 4th-6th, 2022
  1. Luis Gómez Chova (coord.)
  2. Agustín López Martínez (coord.)
  3. Joanna Lees (coord.)

Publisher: IATED Academy

ISBN: 978-84-09-42484-9

Year of publication: 2022

Pages: 2450-2456

Congress: Edulearn. International conference on Education and New Learning Technology (14. 2022. Palma)

Type: Conference paper

DOI: 10.21125/EDULEARN.2022.0630 DIALNET GOOGLE SCHOLAR lock_openOpen access editor


The current evolution of rule-based conversational systems to intelligent conversational machines or chatbots based on Natural Language Processing (NLP) has opened these systems to automate interactions between customers, companies, and/or institutions. Artificial Intelligence (AI) solutions are increasingly present in our society, and some examples are virtual assistants such as "SIRI," "CORTANA," and "ALEXA" that can be classified as rational agents. In the industrial field, AI is considered one of the driving technologies of the fourth industrial revolution, where the use of collaborative robots and machine learning tools is increasingly widespread. Chatbots can provide technical advice, answer questions, execute actions, and collect data, and therefore, they can be valuable aids in higher education. However, most of the previous educational experiences with chatbots are focused on individual cases in which tailor-made solutions are applied. Besides, these studies do not consider issues such as complexity, the necessary preparation time, and the time freed up for teachers and students. Through a bibliography and scientometric analysis, this study identifies those applications, experiences, and methodologies based on chatbots, which are more suitable for engineering education.