Integration of an intelligent tutoring system in a magnetic resonance simulator for education: Technical feasibility and user experience

Comput Methods Programs Biomed. 2020 Oct:195:105634. doi: 10.1016/j.cmpb.2020.105634. Epub 2020 Jun 30.

Abstract

Background and objective: In this paper we propose to include an intelligent tutoring system (ITS) within a magnetic resonance (MR) simulator that has been developed in house. With this, we intend to measure the impact, in terms of user experience, of including an ITS in our simulator.

Methods: We thoroughly describe the integration procedure and we have tested the benefits of this integration by means of two actual educational experiences, with one of them using the simulator as a standalone tool, and the other with the joint use of simulator+ITS. The experiences have consisted of two online courses with a number of students around 180 in both of them, where measurements of usability, perceived utility and likelihood to recommend were collected.

Results: We have observed that the three measurements improved noticeably in the second course with respect to the first one; specifically, overall usability improved by 22.3%, perceived utility by an average of 55.1% and likelihood to recommend by 13.7%. In addition, quantitative measurements are complemented with comments in free text format directly provided by the students. Results show evidence on the benefits of integrating an ITS in terms of quantitative user experience, as well as qualitative comparative comments directly by students of both courses.

Conclusions: This is the first time that an ITS is used within the scope of MR simulation for training purposes. Benefits of integrating an ITS within an MR simulator have been evaluated in terms of user experience, with satisfactory comparative results.

Keywords: ITS; Magnetic Resonance Imaging MRI; Medical training/educational tool; Radiographers training; Simulator system.

MeSH terms

  • Clinical Competence*
  • Computer Simulation
  • Feasibility Studies
  • Humans
  • Magnetic Resonance Spectroscopy