Teaching Students about Machine Learning Through a Gamified Approach

Prapa Rattadilok; Chris Roadknight; Li Li

doi:10.1109/TALE.2018.8615279

Teaching Students about Machine Learning Through a Gamified Approach

Prapa Rattadilok
, Chris Roadknight
, Li Li

School of Computer Science

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

18 Citations (Scopus)

Abstract

The teaching of machine learning requires a range of tools and techniques to engage students and allow them to relate the processes involved to real world situations that they have previously experienced. One way to facilitate this learning process is to integrate the learning into a game situation, which is by definition fun to engage with and offers immediate rewards. This research shows that by collecting the student's behaviour and actions as they engage with well-known game software, the learning of key machine learning concepts can be enabled. It is also shown that customising of learning can be made possible by the use of gamification.

Original language	English
Title of host publication	Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018
Editors	Mark J.W. Lee, Sasha Nikolic, Montserrat Ros, Jun Shen, Leon C. U. Lei, Gary K.W. Wong, Neelakantam Venkatarayalu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1011-1015
Number of pages	5
ISBN (Electronic)	9781538665220
DOIs	https://doi.org/10.1109/TALE.2018.8615279
Publication status	Published - 2 Jul 2018
Event	2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018 - Wollongong, Australia Duration: 4 Dec 2018 → 7 Dec 2018

Publication series

Name	Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018

Conference

Conference	2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018
Country/Territory	Australia
City	Wollongong
Period	4/12/18 → 7/12/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

Free Keywords

gamification
machine learning
machine teaching
personalised learning
universal design for learning

ASJC Scopus subject areas

Education
Artificial Intelligence
Computer Networks and Communications
Engineering (miscellaneous)

Access to Document

10.1109/TALE.2018.8615279

Cite this

Rattadilok, P., Roadknight, C., & Li, L. (2018). Teaching Students about Machine Learning Through a Gamified Approach. In M. J. W. Lee, S. Nikolic, M. Ros, J. Shen, L. C. U. Lei, G. K. W. Wong, & N. Venkatarayalu (Eds.), Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018 (pp. 1011-1015). Article 8615279 (Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TALE.2018.8615279

Rattadilok, Prapa ; Roadknight, Chris ; Li, Li. / Teaching Students about Machine Learning Through a Gamified Approach. Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018. editor / Mark J.W. Lee ; Sasha Nikolic ; Montserrat Ros ; Jun Shen ; Leon C. U. Lei ; Gary K.W. Wong ; Neelakantam Venkatarayalu. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1011-1015 (Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018).

@inproceedings{53ec07d7660542c5b9347b50ffe0ff7b,

title = "Teaching Students about Machine Learning Through a Gamified Approach",

abstract = "The teaching of machine learning requires a range of tools and techniques to engage students and allow them to relate the processes involved to real world situations that they have previously experienced. One way to facilitate this learning process is to integrate the learning into a game situation, which is by definition fun to engage with and offers immediate rewards. This research shows that by collecting the student's behaviour and actions as they engage with well-known game software, the learning of key machine learning concepts can be enabled. It is also shown that customising of learning can be made possible by the use of gamification.",

keywords = "gamification, machine learning, machine teaching, personalised learning, universal design for learning",

author = "Prapa Rattadilok and Chris Roadknight and Li Li",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018 ; Conference date: 04-12-2018 Through 07-12-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/TALE.2018.8615279",

language = "English",

series = "Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1011--1015",

editor = "Lee, \{Mark J.W.\} and Sasha Nikolic and Montserrat Ros and Jun Shen and Lei, \{Leon C. U.\} and Wong, \{Gary K.W.\} and Neelakantam Venkatarayalu",

booktitle = "Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018",

address = "United States",

}

Rattadilok, P, Roadknight, C & Li, L 2018, Teaching Students about Machine Learning Through a Gamified Approach. in MJW Lee, S Nikolic, M Ros, J Shen, LCU Lei, GKW Wong & N Venkatarayalu (eds), Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018., 8615279, Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1011-1015, 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018, Wollongong, Australia, 4/12/18. https://doi.org/10.1109/TALE.2018.8615279

Teaching Students about Machine Learning Through a Gamified Approach. / Rattadilok, Prapa; Roadknight, Chris; Li, Li.
Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018. ed. / Mark J.W. Lee; Sasha Nikolic; Montserrat Ros; Jun Shen; Leon C. U. Lei; Gary K.W. Wong; Neelakantam Venkatarayalu. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1011-1015 8615279 (Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Teaching Students about Machine Learning Through a Gamified Approach

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AU - Roadknight, Chris

AU - Li, Li

PY - 2018/7/2

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N2 - The teaching of machine learning requires a range of tools and techniques to engage students and allow them to relate the processes involved to real world situations that they have previously experienced. One way to facilitate this learning process is to integrate the learning into a game situation, which is by definition fun to engage with and offers immediate rewards. This research shows that by collecting the student's behaviour and actions as they engage with well-known game software, the learning of key machine learning concepts can be enabled. It is also shown that customising of learning can be made possible by the use of gamification.

AB - The teaching of machine learning requires a range of tools and techniques to engage students and allow them to relate the processes involved to real world situations that they have previously experienced. One way to facilitate this learning process is to integrate the learning into a game situation, which is by definition fun to engage with and offers immediate rewards. This research shows that by collecting the student's behaviour and actions as they engage with well-known game software, the learning of key machine learning concepts can be enabled. It is also shown that customising of learning can be made possible by the use of gamification.

KW - gamification

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KW - machine teaching

KW - personalised learning

KW - universal design for learning

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M3 - Conference contribution

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BT - Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018

A2 - Lee, Mark J.W.

A2 - Nikolic, Sasha

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A2 - Shen, Jun

A2 - Lei, Leon C. U.

A2 - Wong, Gary K.W.

A2 - Venkatarayalu, Neelakantam

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018

Y2 - 4 December 2018 through 7 December 2018

ER -

Rattadilok P, Roadknight C, Li L. Teaching Students about Machine Learning Through a Gamified Approach. In Lee MJW, Nikolic S, Ros M, Shen J, Lei LCU, Wong GKW, Venkatarayalu N, editors, Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1011-1015. 8615279. (Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018). doi: 10.1109/TALE.2018.8615279

Teaching Students about Machine Learning Through a Gamified Approach

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

Access to Document

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