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Pre-service teachers training satisfaction and practical knowledge acquisition in artificial intelligence teachers training program: a multiple regression study

The acquisition of practical knowledge is the main objective in pre-service teachers (PSTs) training. However, research with the focus on the relationship between pre-service teachers’ training and practical knowledge acquisition through quantitative methods are limited. Additionally, the influence...

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Main Authors: Song, Pu, Ahmad, Nor Aniza, Md Khambari, Mas Nida, Ng, Keng Yap, Chin, Wei Mun
Format: Conference or Workshop Item
Language:English
Published: Faculty of Educational Studies, Universiti Putra Malaysia 2019
Online Access:http://psasir.upm.edu.my/id/eprint/76809/1/ICERP_2019-15.pdf
http://psasir.upm.edu.my/id/eprint/76809/
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spelling my.upm.eprints.768092020-02-06T01:29:17Z http://psasir.upm.edu.my/id/eprint/76809/ Pre-service teachers training satisfaction and practical knowledge acquisition in artificial intelligence teachers training program: a multiple regression study Song, Pu Ahmad, Nor Aniza Md Khambari, Mas Nida Ng, Keng Yap Chin, Wei Mun The acquisition of practical knowledge is the main objective in pre-service teachers (PSTs) training. However, research with the focus on the relationship between pre-service teachers’ training and practical knowledge acquisition through quantitative methods are limited. Additionally, the influence of various educational activities in pre-service teachers’ training on teachers' practical knowledge acquisition remains unclear. Hence, this study employed a multiple regression analysis to investigate pre-service teachers’ satisfaction who are in an artificial intelligence training program to predict practical knowledge acquisition. This study utilizes a dataset of 219 pre-service teachers from an artificial intelligence teachers’ training program at a university of Guizhou province. Findings from the multiple regression analysis indicated that pre-service teachers’ acquisition of practical knowledge are mainly influenced by three factors which are: (1) knowledge preparation, instructional design and reflection in the process of PSTs training, (2) teaching in primary school and (3) teamwork. Not only this study has implications on the training process of preservice teachers at the university but also in the cultivation of teachers’ practical knowledge. Faculty of Educational Studies, Universiti Putra Malaysia 2019 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/76809/1/ICERP_2019-15.pdf Song, Pu and Ahmad, Nor Aniza and Md Khambari, Mas Nida and Ng, Keng Yap and Chin, Wei Mun (2019) Pre-service teachers training satisfaction and practical knowledge acquisition in artificial intelligence teachers training program: a multiple regression study. In: 5th International Conference on Educational Research and Practice (ICERP) 2019, 22-23 Oct. 2019, Palm Garden Hotel, Putrajaya, Malaysia. (pp. 193-201).
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The acquisition of practical knowledge is the main objective in pre-service teachers (PSTs) training. However, research with the focus on the relationship between pre-service teachers’ training and practical knowledge acquisition through quantitative methods are limited. Additionally, the influence of various educational activities in pre-service teachers’ training on teachers' practical knowledge acquisition remains unclear. Hence, this study employed a multiple regression analysis to investigate pre-service teachers’ satisfaction who are in an artificial intelligence training program to predict practical knowledge acquisition. This study utilizes a dataset of 219 pre-service teachers from an artificial intelligence teachers’ training program at a university of Guizhou province. Findings from the multiple regression analysis indicated that pre-service teachers’ acquisition of practical knowledge are mainly influenced by three factors which are: (1) knowledge preparation, instructional design and reflection in the process of PSTs training, (2) teaching in primary school and (3) teamwork. Not only this study has implications on the training process of preservice teachers at the university but also in the cultivation of teachers’ practical knowledge.
format Conference or Workshop Item
author Song, Pu
Ahmad, Nor Aniza
Md Khambari, Mas Nida
Ng, Keng Yap
Chin, Wei Mun
spellingShingle Song, Pu
Ahmad, Nor Aniza
Md Khambari, Mas Nida
Ng, Keng Yap
Chin, Wei Mun
Pre-service teachers training satisfaction and practical knowledge acquisition in artificial intelligence teachers training program: a multiple regression study
author_facet Song, Pu
Ahmad, Nor Aniza
Md Khambari, Mas Nida
Ng, Keng Yap
Chin, Wei Mun
author_sort Song, Pu
title Pre-service teachers training satisfaction and practical knowledge acquisition in artificial intelligence teachers training program: a multiple regression study
title_short Pre-service teachers training satisfaction and practical knowledge acquisition in artificial intelligence teachers training program: a multiple regression study
title_full Pre-service teachers training satisfaction and practical knowledge acquisition in artificial intelligence teachers training program: a multiple regression study
title_fullStr Pre-service teachers training satisfaction and practical knowledge acquisition in artificial intelligence teachers training program: a multiple regression study
title_full_unstemmed Pre-service teachers training satisfaction and practical knowledge acquisition in artificial intelligence teachers training program: a multiple regression study
title_sort pre-service teachers training satisfaction and practical knowledge acquisition in artificial intelligence teachers training program: a multiple regression study
publisher Faculty of Educational Studies, Universiti Putra Malaysia
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/76809/1/ICERP_2019-15.pdf
http://psasir.upm.edu.my/id/eprint/76809/
_version_ 1662756575409864704
score 13.211869

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