TY - GEN
T1 - Empowering Qualitative Research Methods in Education with Artificial Intelligence
AU - Longo, Luca
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Automated reasoning
KW - Behaviourism
KW - Cognitivism
KW - Constructivism
KW - Data analysis
KW - Education
KW - Knowledge representation
KW - Learning
KW - Machine learning
KW - Methods
KW - Natural language processing
KW - Perception
KW - Planning
KW - Qualitative research
KW - Teaching
UR - http://www.scopus.com/inward/record.url?scp=85075235352&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-31787-4_1
DO - 10.1007/978-3-030-31787-4_1
M3 - Conference contribution
AN - SCOPUS:85075235352
SN - 9783030317867
T3 - Advances in Intelligent Systems and Computing
SP - 1
EP - 21
BT - Computer Supported Qualitative Research - New Trends on Qualitative Research, WCQR 2019
A2 - Costa, António Pedro
A2 - Reis, Luís Paulo
A2 - Moreira, António
PB - Springer
T2 - 4th World Conference on Qualitative Research, WCQR 2019
Y2 - 16 October 2019 through 18 October 2019
ER -