The Potential of AI in Health Higher Education to Increase the Students’ Learning Outcomes

Maria José Sousa, Francesca Dal Mas, António Pesqueira, Carlos Lemos, Juan Manuel Verde, Lorenzo Cobianchi

Research output: Contribution to journalArticlepeer-review

Abstract

The main goal of this article is to understand the potential learning applications based on AI technologies for health higher education students. We employed a Systematic Literature Review, contributing to explore to what extent AI technologies are currently influencing the Health learning processes in higher education and the skills developed during the learning path. The intent is to contribute to a more profound understanding of learning contexts, methodologies, technologies, and pedagogical processes with the application of AI technologies. The literature emphasizes that AI can be used to potentiate the learning process and the learning outcomes, especially in laboratory classes, and such contexts are still largely unstudied. To fulfil this gap, some practical applications based on AI technologies applied to health higher education studies were identified, highlighting AI's innovations and possible opportunities for health higher education.

Original languageEnglish
Pages (from-to)488-497
Number of pages10
JournalTEM Journal
Volume10
Issue number2
DOIs
Publication statusPublished - May 2021

Keywords

  • AI Technologies
  • Health
  • Higher Education
  • Learning Contexts
  • Students

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems
  • Education
  • Strategy and Management
  • Information Systems and Management
  • Management of Technology and Innovation

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