Exploration of CoachEye Application Features to Improve Feedback During Physical Education

The main purpose of this study was to explore the CoachEye movement analysis application features most preferred to enhance engagement and learning experience among learners. This study adopted the mixed-method research design comprising both qualitative and quantitative methodologies. Participants...

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Bibliographic Details
Published in:Asian Journal of University Education
Main Author: Zulkifli A.F.; Danis A.
Format: Article
Language:English
Published: UiTM Press 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111511959&doi=10.24191%2fAJUE.V17I2.13390&partnerID=40&md5=86754d68d37d0b71535fbbb1533fa60a
id 2-s2.0-85111511959
spelling 2-s2.0-85111511959
Zulkifli A.F.; Danis A.
Exploration of CoachEye Application Features to Improve Feedback During Physical Education
2021
Asian Journal of University Education
17
2
10.24191/AJUE.V17I2.13390
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111511959&doi=10.24191%2fAJUE.V17I2.13390&partnerID=40&md5=86754d68d37d0b71535fbbb1533fa60a
The main purpose of this study was to explore the CoachEye movement analysis application features most preferred to enhance engagement and learning experience among learners. This study adopted the mixed-method research design comprising both qualitative and quantitative methodologies. Participants consisted of 30 undergraduate physical and health education major students ages between 20–26 years (16 males and 14 females respectively). The qualitative data were gathered via focus group discussions (i.e., 6 sessions, 5 participants/session) while quantitative data were collected through a modified TSCI questionnaire at the beginning and end of this study. Data analysis was conducted with SPSS (version 26.0) using tests such as descriptive statistics (e.g., means, standard deviation, percentage) and inferential statistics to determine the relationship between variables. The paired sample t-test was also used to compare mean values between pre-and-post intervention while graph and table were utilised to demonstrate behavioural changes. The phenomenological approach was used to gather qualitative data and analysed using Consider.ly software. The participants’ knowledge and perceptions towards technology-assisted physical education improve across intervention with greater efficacy (7.47 ± 0.64) at the post compared to pre-intervention (6.57 ± 0.4). With regards to features, positive values associated with the abilities to analyse movements and identification of correct and false techniques while negative values associated with confusion and lack of confidence. This study demonstrated the addition of technology was generally effective to complement teaching and learning. Nonetheless, issues such as practice time, personal preferences, and digitised perceptions serve as future challenges in this topic. © 2021. All Rights Reserved.
UiTM Press
18237797
English
Article
All Open Access; Gold Open Access
author Zulkifli A.F.; Danis A.
spellingShingle Zulkifli A.F.; Danis A.
Exploration of CoachEye Application Features to Improve Feedback During Physical Education
author_facet Zulkifli A.F.; Danis A.
author_sort Zulkifli A.F.; Danis A.
title Exploration of CoachEye Application Features to Improve Feedback During Physical Education
title_short Exploration of CoachEye Application Features to Improve Feedback During Physical Education
title_full Exploration of CoachEye Application Features to Improve Feedback During Physical Education
title_fullStr Exploration of CoachEye Application Features to Improve Feedback During Physical Education
title_full_unstemmed Exploration of CoachEye Application Features to Improve Feedback During Physical Education
title_sort Exploration of CoachEye Application Features to Improve Feedback During Physical Education
publishDate 2021
container_title Asian Journal of University Education
container_volume 17
container_issue 2
doi_str_mv 10.24191/AJUE.V17I2.13390
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111511959&doi=10.24191%2fAJUE.V17I2.13390&partnerID=40&md5=86754d68d37d0b71535fbbb1533fa60a
description The main purpose of this study was to explore the CoachEye movement analysis application features most preferred to enhance engagement and learning experience among learners. This study adopted the mixed-method research design comprising both qualitative and quantitative methodologies. Participants consisted of 30 undergraduate physical and health education major students ages between 20–26 years (16 males and 14 females respectively). The qualitative data were gathered via focus group discussions (i.e., 6 sessions, 5 participants/session) while quantitative data were collected through a modified TSCI questionnaire at the beginning and end of this study. Data analysis was conducted with SPSS (version 26.0) using tests such as descriptive statistics (e.g., means, standard deviation, percentage) and inferential statistics to determine the relationship between variables. The paired sample t-test was also used to compare mean values between pre-and-post intervention while graph and table were utilised to demonstrate behavioural changes. The phenomenological approach was used to gather qualitative data and analysed using Consider.ly software. The participants’ knowledge and perceptions towards technology-assisted physical education improve across intervention with greater efficacy (7.47 ± 0.64) at the post compared to pre-intervention (6.57 ± 0.4). With regards to features, positive values associated with the abilities to analyse movements and identification of correct and false techniques while negative values associated with confusion and lack of confidence. This study demonstrated the addition of technology was generally effective to complement teaching and learning. Nonetheless, issues such as practice time, personal preferences, and digitised perceptions serve as future challenges in this topic. © 2021. All Rights Reserved.
publisher UiTM Press
issn 18237797
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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