Design and Implementation of a Gesture-Aided E-Learning Platform

In gesture-aided learning (GAL), learners perform specific body gestures while rehearsing the associated learning content. Although this form of embodiment has been shown to benefit learning outcomes, it has not yet been incorporated into e-learning. This work presents a generic system design for an...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Wolfgang Kremser [verfasserIn] Stefan Kranzinger [verfasserIn] Severin Bernhart [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	gesture-aided learning e-learning software engineering system design gesture recognition system usability scale

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 21(2021), 23, p 8042
Übergeordnetes Werk:	volume:21 ; year:2021 ; number:23, p 8042

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s21238042

Katalog-ID:	DOAJ086691503

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spelling	10.3390/s21238042 doi (DE-627)DOAJ086691503 (DE-599)DOAJ9fc73a063aac4045aa681c79c9ee9e9d DE-627 ger DE-627 rakwb eng TP1-1185 Wolfgang Kremser verfasserin aut Design and Implementation of a Gesture-Aided E-Learning Platform 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In gesture-aided learning (GAL), learners perform specific body gestures while rehearsing the associated learning content. Although this form of embodiment has been shown to benefit learning outcomes, it has not yet been incorporated into e-learning. This work presents a generic system design for an online GAL platform. It is comprised of five modules for planning, administering, and monitoring remote GAL lessons. To validate the proposed design, a reference implementation for word learning was demonstrated in a field test. 19 participants independently took a predefined online GAL lesson and rated their experience on the System Usability Scale and a supplemental questionnaire. To monitor the correct gesture execution, the reference implementation recorded the participants’ webcam feeds and uploaded them to the instructor for review. The results from the field test show that the reference implementation is capable of delivering an e-learning experience with GAL elements. Designers of e-learning platforms may use the proposed design to include GAL in their applications. Beyond its original purpose in education, the platform is also useful to collect and annotate gesture data. gesture-aided learning e-learning software engineering system design gesture recognition system usability scale Chemical technology Stefan Kranzinger verfasserin aut Severin Bernhart verfasserin aut In Sensors MDPI AG, 2003 21(2021), 23, p 8042 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:23, p 8042 https://doi.org/10.3390/s21238042 kostenfrei https://doaj.org/article/9fc73a063aac4045aa681c79c9ee9e9d kostenfrei https://www.mdpi.com/1424-8220/21/23/8042 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 23, p 8042
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allfieldsGer	10.3390/s21238042 doi (DE-627)DOAJ086691503 (DE-599)DOAJ9fc73a063aac4045aa681c79c9ee9e9d DE-627 ger DE-627 rakwb eng TP1-1185 Wolfgang Kremser verfasserin aut Design and Implementation of a Gesture-Aided E-Learning Platform 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In gesture-aided learning (GAL), learners perform specific body gestures while rehearsing the associated learning content. Although this form of embodiment has been shown to benefit learning outcomes, it has not yet been incorporated into e-learning. This work presents a generic system design for an online GAL platform. It is comprised of five modules for planning, administering, and monitoring remote GAL lessons. To validate the proposed design, a reference implementation for word learning was demonstrated in a field test. 19 participants independently took a predefined online GAL lesson and rated their experience on the System Usability Scale and a supplemental questionnaire. To monitor the correct gesture execution, the reference implementation recorded the participants’ webcam feeds and uploaded them to the instructor for review. The results from the field test show that the reference implementation is capable of delivering an e-learning experience with GAL elements. Designers of e-learning platforms may use the proposed design to include GAL in their applications. Beyond its original purpose in education, the platform is also useful to collect and annotate gesture data. gesture-aided learning e-learning software engineering system design gesture recognition system usability scale Chemical technology Stefan Kranzinger verfasserin aut Severin Bernhart verfasserin aut In Sensors MDPI AG, 2003 21(2021), 23, p 8042 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:23, p 8042 https://doi.org/10.3390/s21238042 kostenfrei https://doaj.org/article/9fc73a063aac4045aa681c79c9ee9e9d kostenfrei https://www.mdpi.com/1424-8220/21/23/8042 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 23, p 8042
allfieldsSound	10.3390/s21238042 doi (DE-627)DOAJ086691503 (DE-599)DOAJ9fc73a063aac4045aa681c79c9ee9e9d DE-627 ger DE-627 rakwb eng TP1-1185 Wolfgang Kremser verfasserin aut Design and Implementation of a Gesture-Aided E-Learning Platform 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In gesture-aided learning (GAL), learners perform specific body gestures while rehearsing the associated learning content. Although this form of embodiment has been shown to benefit learning outcomes, it has not yet been incorporated into e-learning. This work presents a generic system design for an online GAL platform. It is comprised of five modules for planning, administering, and monitoring remote GAL lessons. To validate the proposed design, a reference implementation for word learning was demonstrated in a field test. 19 participants independently took a predefined online GAL lesson and rated their experience on the System Usability Scale and a supplemental questionnaire. To monitor the correct gesture execution, the reference implementation recorded the participants’ webcam feeds and uploaded them to the instructor for review. The results from the field test show that the reference implementation is capable of delivering an e-learning experience with GAL elements. Designers of e-learning platforms may use the proposed design to include GAL in their applications. Beyond its original purpose in education, the platform is also useful to collect and annotate gesture data. gesture-aided learning e-learning software engineering system design gesture recognition system usability scale Chemical technology Stefan Kranzinger verfasserin aut Severin Bernhart verfasserin aut In Sensors MDPI AG, 2003 21(2021), 23, p 8042 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:23, p 8042 https://doi.org/10.3390/s21238042 kostenfrei https://doaj.org/article/9fc73a063aac4045aa681c79c9ee9e9d kostenfrei https://www.mdpi.com/1424-8220/21/23/8042 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 23, p 8042
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source	In Sensors 21(2021), 23, p 8042 volume:21 year:2021 number:23, p 8042
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authorswithroles_txt_mv	Wolfgang Kremser @@aut@@ Stefan Kranzinger @@aut@@ Severin Bernhart @@aut@@
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callnumber-first	T - Technology
author	Wolfgang Kremser
spellingShingle	Wolfgang Kremser misc TP1-1185 misc gesture-aided learning misc e-learning misc software engineering misc system design misc gesture recognition misc system usability scale misc Chemical technology Design and Implementation of a Gesture-Aided E-Learning Platform
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topic_title	TP1-1185 Design and Implementation of a Gesture-Aided E-Learning Platform gesture-aided learning e-learning software engineering system design gesture recognition system usability scale
topic	misc TP1-1185 misc gesture-aided learning misc e-learning misc software engineering misc system design misc gesture recognition misc system usability scale misc Chemical technology
topic_unstemmed	misc TP1-1185 misc gesture-aided learning misc e-learning misc software engineering misc system design misc gesture recognition misc system usability scale misc Chemical technology
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title	Design and Implementation of a Gesture-Aided E-Learning Platform
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title_full	Design and Implementation of a Gesture-Aided E-Learning Platform
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title_auth	Design and Implementation of a Gesture-Aided E-Learning Platform
abstract	In gesture-aided learning (GAL), learners perform specific body gestures while rehearsing the associated learning content. Although this form of embodiment has been shown to benefit learning outcomes, it has not yet been incorporated into e-learning. This work presents a generic system design for an online GAL platform. It is comprised of five modules for planning, administering, and monitoring remote GAL lessons. To validate the proposed design, a reference implementation for word learning was demonstrated in a field test. 19 participants independently took a predefined online GAL lesson and rated their experience on the System Usability Scale and a supplemental questionnaire. To monitor the correct gesture execution, the reference implementation recorded the participants’ webcam feeds and uploaded them to the instructor for review. The results from the field test show that the reference implementation is capable of delivering an e-learning experience with GAL elements. Designers of e-learning platforms may use the proposed design to include GAL in their applications. Beyond its original purpose in education, the platform is also useful to collect and annotate gesture data.
abstractGer	In gesture-aided learning (GAL), learners perform specific body gestures while rehearsing the associated learning content. Although this form of embodiment has been shown to benefit learning outcomes, it has not yet been incorporated into e-learning. This work presents a generic system design for an online GAL platform. It is comprised of five modules for planning, administering, and monitoring remote GAL lessons. To validate the proposed design, a reference implementation for word learning was demonstrated in a field test. 19 participants independently took a predefined online GAL lesson and rated their experience on the System Usability Scale and a supplemental questionnaire. To monitor the correct gesture execution, the reference implementation recorded the participants’ webcam feeds and uploaded them to the instructor for review. The results from the field test show that the reference implementation is capable of delivering an e-learning experience with GAL elements. Designers of e-learning platforms may use the proposed design to include GAL in their applications. Beyond its original purpose in education, the platform is also useful to collect and annotate gesture data.
abstract_unstemmed	In gesture-aided learning (GAL), learners perform specific body gestures while rehearsing the associated learning content. Although this form of embodiment has been shown to benefit learning outcomes, it has not yet been incorporated into e-learning. This work presents a generic system design for an online GAL platform. It is comprised of five modules for planning, administering, and monitoring remote GAL lessons. To validate the proposed design, a reference implementation for word learning was demonstrated in a field test. 19 participants independently took a predefined online GAL lesson and rated their experience on the System Usability Scale and a supplemental questionnaire. To monitor the correct gesture execution, the reference implementation recorded the participants’ webcam feeds and uploaded them to the instructor for review. The results from the field test show that the reference implementation is capable of delivering an e-learning experience with GAL elements. Designers of e-learning platforms may use the proposed design to include GAL in their applications. Beyond its original purpose in education, the platform is also useful to collect and annotate gesture data.
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title_short	Design and Implementation of a Gesture-Aided E-Learning Platform
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