Empowering Qualitative Research Methods in Education with Artificial Intelligence

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Artificial Intelligence is one of the fastest growing disciplines, disrupting many sectors. Originally mainly for computer scientists and engineers, it has been expanding its horizons and empowering many other disciplines contributing to the development of many novel applications in many sectors. These include medicine and health care, business and finance, psychology and neuroscience, physics and biology to mention a few. However, one of the disciplines in which artificial intelligence has not been fully explored and exploited yet is education. In this discipline, many research methods are employed by scholars, lecturers and practitioners to investigate the impact of different instructional approaches on learning and to understand the ways skills and knowledge are acquired by learners. One of these is qualitative research, a scientific method grounded in observations that manipulates and analyses non-numerical data. It focuses on seeking answers to why and how a particular observed phenomenon occurs rather than on its occurrences. This study aims to explore and discuss the impact of artificial intelligence on qualitative research methods. In particular, it focuses on how artificial intelligence have empowered qualitative research methods so far, and how it can be used in education for enhancing teaching and learning.

Original languageEnglish
Title of host publicationComputer Supported Qualitative Research - New Trends on Qualitative Research, WCQR 2019
EditorsAntónio Pedro Costa, Luís Paulo Reis, António Moreira
PublisherSpringer
Pages1-21
Number of pages21
ISBN (Print)9783030317867
DOIs
Publication statusPublished - 2020
Event4th World Conference on Qualitative Research, WCQR 2019 - Porto, Portugal
Duration: 16 Oct 201918 Oct 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1068
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference4th World Conference on Qualitative Research, WCQR 2019
Country/TerritoryPortugal
CityPorto
Period16/10/1918/10/19

Keywords

  • Artificial intelligence
  • Automated reasoning
  • Behaviourism
  • Cognitivism
  • Constructivism
  • Data analysis
  • Education
  • Knowledge representation
  • Learning
  • Machine learning
  • Methods
  • Natural language processing
  • Perception
  • Planning
  • Qualitative research
  • Teaching

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