Profiles

Soon Ja Yeom

UTAS Home Dr Soonja Yeom

Soonja Yeom

Lecturer
Information & Communication Technology

Room 471 , Centenary Building

+61 3 6226 2963 (phone)

Soonja.Yeom@utas.edu.au

Biography

Dr Soonja Yeom is a lecturer in the School of Engineering and ICT, Faculty of Science, Engineering, and Technology.  She teaches Secure Web Programming, Dynamic Web Development, and Data Science of the Bachelor of ICT, Master of IT courses. Soonja was Program Chair of International Conference on Smart Media and Applications in 2016. Also Soonja has been invited as a speaker in various workshops and conferences such as by Big Data Research Group of Kangwon National University Oct 2016, Workshop on Convergent and Smart Media, July 2017, and Affective Computing Research Centre, Chonnam National University, July 2017. Invited reviewer of a number of conference. Her main areas of research include technology-enhanced learning, human computer interface, affective computing, computer security and big data analytics.

Career summary

Qualifications

  • PhD, Undergraduate Student Acceptance of Haptic Simulation in Gross Anatomy Learning, University of Tasmania
  • Master of Computing, An Experiment in Multimedia, University of Tasmania

Administrative expertise

Soonja was the International Affairs Coordinator during 1994 – 2000. Her roles included helping international students enrolment as well as working on advanced standing agreement and exchange program  with a large number of overseas institutes in assistance of Head of School. Soonja then was the Degree Coordinator of Bachelor, Graduate Diploma, and Master programs (coursework) of Computing between 2001 - 2013.

Teaching

Teaching responsibility

Unit coordinator of a large number of units of undergraduate and post graduate programs – onshore as well as offshore contributing to teaching and assessment of Computing.

The list includes:
KIT102 Data Science
KIT202 Secure Web Programming
KIT502 Web Development
KIT709 Enterprise Architecture and Systems
KIT713 Multi-perspective ICT Project

View more on Dr Soonja Yeom in WARP

Expertise

Deep Learning, Learning Technology, Data Analytics

Awards

Best paper from Multi Conference on Computer Science and Information Systems (MCCSIS), E-Learning conference in 2013

Best paper from International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI) 2018

Fields of Research

  • Information Systems (080699)
  • Computer-Human Interaction (080602)
  • Image Processing (080106)
  • Artificial Life (080102)
  • Data Format (080499)
  • Multimedia Programming (080305)
  • Simulation and Modelling (080110)
  • Natural Language Processing (080107)
  • Artificial Intelligence and Image Processing (080199)
  • Creative Arts, Media and Communication Curriculum and Pedagogy (130201)
  • Distributed and Grid Systems (080501)
  • Neural, Evolutionary and Fuzzy Computation (080108)
  • Data Encryption (080402)
  • Computer Communications Networks (100503)
  • Information Systems Management (080609)
  • Software Engineering (080309)
  • Adaptive Agents and Intelligent Robotics (080101)
  • Computer Software (080399)
  • Pattern Recognition and Data Mining (080109)
  • Computer System Architecture (080302)
  • Higher Education (130103)
  • Aboriginal and Torres Strait Islander Information and Knowledge Systems (080601)
  • Educational Technology and Computing (130306)
  • Education Assessment and Evaluation (130303)

Research Objectives

  • Information and Communication Services (899999)
  • Information Processing Services (incl. Data Entry and Capture) (890205)
  • Application Software Packages (excl. Computer Games) (890201)
  • Teaching and Instruction Technologies (930203)
  • Computer Software and Services (890299)
  • Application Tools and System Utilities (890202)
  • Expanding Knowledge in Technology (970110)
  • Education and Training Systems (930599)
  • Pedagogy (930201)
  • Health Education and Promotion (920205)
  • Information Services (890399)
  • Network Infrastructure Equipment (861701)
  • Curriculum (930399)
  • Learner and Learning (930199)
  • Education and Training (939999)

Publications

Relationship between the temporary emotion of students and their performance in learning activity

“Big Data” and learning analytics for Australian higher education

Total publications

38

Highlighted publications

(4 outputs)
YearTypeCitationAltmetrics
2018Conference PublicationNguyen H-D, Yeom S, Oh I-S, Kim K-M, Kim S-H, 'Facial expression recognition using a multi-level convolutional neural network', Proceedings from the International Conference on Pattern Recognition and Artificial Intelligence, 14-17 May 2018, Montreal, Canada, pp. 217-221. ISBN 1895193060 (2018) [Refereed Conference Paper]

[eCite] [Details]

2017Journal ArticleYeom S, Choi-Lundberg DL, Fluck AE, Sale A, 'Factors influencing undergraduate students' acceptance of a haptic interface for learning gross anatomy', Interactive Technology and Smart Education, 14, (1) pp. 50-66. ISSN 1741-5659 (2017) [Refereed Article]

DOI: 10.1108/ITSE-02-2016-0006 [eCite] [Details]

Citations: Scopus - 3Web of Science - 3

Co-authors: Choi-Lundberg DL; Fluck AE; Sale A

Tweet

2013Conference PublicationYeom S, Choi-Lundberg D, Fluck A, Sale A, 'User acceptance of a haptic interface for learning anatomy', Proceedings of the International Conference e-Learning 2013, 23-26 July 2013, Prague, Czech Republic, pp. 239-246. ISBN 978-972893988-5 (2013) [Refereed Conference Paper]

[eCite] [Details]

Citations: Scopus - 6

Co-authors: Choi-Lundberg D; Fluck A; Sale A

2006Conference PublicationPark DH, Yoo CS, Kim YS, Yeom SJ, 'Object Modeling for Mapping XML Document Represented in XML-GDM to UML Class Diagram', Computational Science and Its Applacations - ICCSA 2006 Proceedings, 8-11 May 2006, Glasgow, UK, pp. 958-967. ISBN 3-540-34079-3 (2006) [Refereed Conference Paper]

[eCite] [Details]

Journal Article

(4 outputs)
YearCitationAltmetrics
2019Nguyen HD, Yeom S, Lee G-S, Yang H-J, Na I-S, et al., 'Facial emotion recognition using an ensemble of multi-level convolutional neural networks', International Journal of Pattern Recognition and Artificial Intelligence, 33, (11) pp. 1940015. ISSN 0218-0014 (2019) [Refereed Article]

DOI: 10.1142/S0218001419400159 [eCite] [Details]

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2018Kim HJ, Yeom SJ, Cha KJ, 'A big data sharing methodology with data description and data browsing', Information, 21, (1) pp. 359-369. ISSN 1343-4500 (2018) [Refereed Article]

[eCite] [Details]

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2017Yeom S, Choi-Lundberg DL, Fluck AE, Sale A, 'Factors influencing undergraduate students' acceptance of a haptic interface for learning gross anatomy', Interactive Technology and Smart Education, 14, (1) pp. 50-66. ISSN 1741-5659 (2017) [Refereed Article]

DOI: 10.1108/ITSE-02-2016-0006 [eCite] [Details]

Citations: Scopus - 3Web of Science - 3

Co-authors: Choi-Lundberg DL; Fluck AE; Sale A

Tweet

2009Lee T, Yeom SJ, Bang Y, Seo C, 'On the encryption techniques for digital right management of MPEG-5 video', Far East Journal of Applied Mathematics, 36, (3) pp. 367-378. ISSN 0972-0960 (2009) [Refereed Article]

[eCite] [Details]

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Chapter in Book

(3 outputs)
YearCitationAltmetrics
2020Maharjan M, Yeom SJ, Kim S-Y, Fan S, 'Affective Computing in E-Learning Modules: Comparative Analysis With Two Activities', Interactivity and the Future of the Human-Computer Interface, IGI Global, P Isaias and K Blashki (ed), United States ISBN 9781799826378 (2020) [Research Book Chapter]

DOI: 10.4018/978-1-7998-2637-8.ch009 [eCite] [Details]

Co-authors: Fan S

Tweet

2019Yeom S, Fluck A, Sale A, 'Indications for Kinesthetic Learning Through Haptic Devices', Encyclopedia of Education and Information Technologies, Springer, A Tatnall (ed), United Kingdom ISBN 978-3-319-60013-0 (2019) [Research Book Chapter]

DOI: 10.1007/978-3-319-60013-0_192-1 [eCite] [Details]

Co-authors: Fluck A; Sale A

Tweet

2017Yeom S, Fluck A, Sale A, 'Evaluating acceptance of a haptic learning resource from various perspectives', Tomorrow's Learning: Involving Everyone, Springer Nature, A Tatnall, M Webb (ed), Switzerland, pp. 243-250. ISBN 978-3-319-74310-3 (2017) [Research Book Chapter]

DOI: 10.1007/978-3-319-74310-3_26 [eCite] [Details]

Co-authors: Fluck A; Sale A

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Conference Publication

(28 outputs)
YearCitationAltmetrics
2019Hardy L, Castles M, Yeom S, Kang B, 'Challenges and prospects of a robotics course to supplement Australia's digital technology curriculum', Proceedings of the IEEE 19th International Conference on Advanced Learning Technologies (ICALT), 15-18 July 2019, Maceio, Brazil, pp. 224-226. ISSN 2161-377X (2019) [Refereed Conference Paper]

DOI: 10.1109/ICALT.2019.00074 [eCite] [Details]

Co-authors: Hardy L; Castles M; Kang B

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2019Lee E, Lynn HM, Kim HJ, Yeom S, Kim P, 'Semantic analysis for paraphrase identification using semantic role labeling', Proceedings of the 34th Annual ACM Symposium on Applied Computing, 8-12 April 2019, Limassol, Cyprus, pp. 2135-2138. (2019) [Refereed Conference Paper]

DOI: 10.1145/3297280.3300200 [eCite] [Details]

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2019Maharjan M, Kim S-H, Yeom SJ, Fan S, 'Relationship between temporary emotion of students and performance in learning through comparing facial expression analytics', Proceedings of the 13th International Conference on Interfaces and Human Computer Interaction, 16-18 July 2019, Porto, Portugal, pp. 141-148. ISBN 978-989-8533-91-3 (2019) [Refereed Conference Paper]

[eCite] [Details]

Co-authors: Fan S

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2019Yeom S, Ryu R, Pak E, Kim P, 'Prototype ultrasonic wayfinder with haptic feedback for an IOT environment', Proceedings of the 13th International Conference on Interfaces and Human Computer Interaction, 16-18 July 2019, Porto, Portugal, pp. 309-312. ISBN 978-989-8533-91-3 (2019) [Refereed Conference Paper]

DOI: 10.33965/ihci2019_201906c038 [eCite] [Details]

Co-authors: Ryu R

Tweet

2018Fan S, Garg SK, Kregor GM, Yeom SJ, Wang Y, 'Exploring the potential of learning analytics to measure student participation and engagement: Researchers' experiences from an exploratory study', Australian Association for Research in Education (AARE) Annual Conference, December, University of Sydney, Australia (2018) [Conference Extract]

[eCite] [Details]

Co-authors: Fan S; Garg SK; Kregor GM; Wang Y

2018Lynn HM, Yeom S, Kim P, 'ECG-based biometric human identification based on backpropagation neural network', Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems, 9-12 October 2018, Honolulu, HI, USA, pp. 6-10. ISBN 978-1-4503-5885-9 (2018) [Refereed Conference Paper]

DOI: 10.1145/3264746.3264760 [eCite] [Details]

Citations: Scopus - 1Web of Science - 1

Tweet

2018Nguyen H-D, Yeom S, Oh I-S, Kim K-M, Kim S-H, 'Facial expression recognition using a multi-level convolutional neural network', Proceedings from the International Conference on Pattern Recognition and Artificial Intelligence, 14-17 May 2018, Montreal, Canada, pp. 217-221. ISBN 1895193060 (2018) [Refereed Conference Paper]

[eCite] [Details]

2016Fan S, Garg S, Yeom S, 'Exploring the use of big data analytics for improving support to students in higher education', Lecture Notes in Computer Science 9992: 29th Australasian Joint Conference on Artificial Intelligence (AI 2016): Advances in Artificial Intelligence), 5-8 December 2016, Hobart, Tasmania, pp. 702-707. ISBN 978-3-319-50126-0 (2016) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-50127-7_63 [eCite] [Details]

Co-authors: Fan S; Garg S

Tweet

2016Kim HJ, Yeom SJ, Cha KJ, 'Data-Con: A comprehensive data browsing service for real-time data sharing and utilization of big data environment', Proceedings of the 2016 International Conference on Smart Media and Applications (SMA 2016), 5-8 December 2016, Hobart, Tasmania, pp. 47P-50P. (2016) [Non Refereed Conference Paper]

[eCite] [Details]

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2016Sale A, Yeom S, 'A solar map of Tasmania', Proceedings of the Autumn Conference of the Korean Institute of Smart Media, 28-29 October 2016, Kwangiu, pp. 323-324. ISSN 2287-4348 (2016) [Conference Extract]

[eCite] [Details]

Co-authors: Sale A

2016Yeom S, Fan S, Garg S, 'Preliminary study on big data analytics with learning management system for assisting learning experiences in higher education in Australia', Proceedings of the Autumn Conference of The Korean Institute of Smart Media 2016, 28-29 October 2016, Kwangju, pp. 150-152. ISSN 2287-4348 (2016) [Conference Extract]

[eCite] [Details]

Co-authors: Fan S; Garg S

2016Yeom S, Fluck A, Sale A, 'Technical report on a haptic interface for learning anatomy', Proceedings of the 28th Australian Conference on Computer-Human Interaction (OzCHI 2016), 29 November - 2 December 2016, Launceston, Tasmania, pp. 571-575. ISBN 978-1-4503-4618-4 (2016) [Refereed Conference Paper]

DOI: 10.1145/3010915.3010985 [eCite] [Details]

Co-authors: Fluck A; Sale A

Tweet

2013Yeom S, Choi-Lundberg D, Fluck A, Sale A, 'User acceptance of a haptic interface for learning anatomy', Proceedings of the International Conference e-Learning 2013, 23-26 July 2013, Prague, Czech Republic, pp. 239-246. ISBN 978-972893988-5 (2013) [Refereed Conference Paper]

[eCite] [Details]

Citations: Scopus - 6

Co-authors: Choi-Lundberg D; Fluck A; Sale A

Tweet

2012Yeom SJ, Fluck A, Sale AHJ, Choi-Lundberg DL, 'Exploring augmented reality for sustainable delivery of anatomy teaching and learning', Teaching Matters 2012 - Conference Handbook, 4th December 2012, Launceston, Tasmania, pp. 39. (2012) [Conference Extract]

[eCite] [Details]

Co-authors: Fluck A; Sale AHJ; Choi-Lundberg DL

2011Yeom SJ, 'Augmented Reality for Learning Anatomy', Proceedings of Ascilite 2011: Changing Demands, Changing Directions, 4-7 December 2011, Hobart, Tasmania, pp. 1377-1383. ISBN 978-1-86295-644-5 (2011) [Refereed Conference Paper]

[eCite] [Details]

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2007Bang GW, Bang SW, Yeom SJ, Lee MT, Park KW, et al., 'Traffic Sign Recognition Using Color Information and Error Back Propagation Algorithm', Proceeding 2nd ICUT, 20-22 Dec 2007, Bali, Indonesia, pp. 590-594. (2007) [Non Refereed Conference Paper]

[eCite] [Details]

2007Kim CH, Shin MW, Jeong SM, Kang IC, Yeom SJ, et al., 'Kinematical Access for Realistic Behavior Generation of Artificial Fish', Proceedings of the 6th International Conference on Advanced Language Processing and Web Information Technology, 22-24 August, 2007, Luoyang, Henan, China, pp. 293-297. ISBN 0-7695-2930-5 (2007) [Refereed Conference Paper]

[eCite] [Details]

2007Lee SH, Kim CM, Yeom SJ, Kim G, Moon K, et al., 'A study on development of time series warning module in warranty claims database', Proceedings from the Sixth International Conference on Advanced Language Processing and Web Information Technology, 22-24 August, Henan, China, pp. 553-558. ISBN 9780769529301 (2007) [Refereed Conference Paper]

DOI: 10.1109/ALPIT.2007.71 [eCite] [Details]

Citations: Scopus - 1

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2007Lee SH, Seo SC, Yeom SJ, Moon K, Kang MS, et al., 'A study on warning/detection degree of warranty claims data using natural network learning', Proceedings from the Sixth International Conference on Advanced Language Processing and Web Information Technology, 22-24 August, Henan, China, pp. 492-497. ISBN 9780769529301 (2007) [Refereed Conference Paper]

DOI: 10.1109/ALPIT.2007.82 [eCite] [Details]

Citations: Scopus - 4Web of Science - 3

Tweet

2006Park DH, Yoo CS, Kim YS, Yeom SJ, 'Object Modeling for Mapping XML Document Represented in XML-GDM to UML Class Diagram', Computational Science and Its Applacations - ICCSA 2006 Proceedings, 8-11 May 2006, Glasgow, UK, pp. 958-967. ISBN 3-540-34079-3 (2006) [Refereed Conference Paper]

[eCite] [Details]

2005Chung SW, Hwang SG, Yeom SJ, 'Heuristic Mobile Learning Tool', Proceedings The 4th Asia Pacific International Symposium on Information Technology, 26-27 Jan 2005, Gold Coast, Australia, pp. 221-224. ISBN 1-9209522-8-4 (2005) [Non Refereed Conference Paper]

[eCite] [Details]

Co-authors: Hwang SG

2005Mohd Taib S, Yeom SJ, Kang BH, 'Elimination of Redundant Information for Web Data Mining', Proceedings ITCC 2005, 4-6 April 2005, Las Vegas, Nevada, pp. 200-205. ISBN 0-7695-2315-3 (2005) [Refereed Conference Paper]

DOI: 10.1109/ITCC.2005.143 [eCite] [Details]

Citations: Web of Science - 1

Co-authors: Mohd Taib S; Kang BH

Tweet

2004Oh GT, Lee YB, Yeom SJ, 'Security mechanism for medical image information on PACS using invisible watermark', Proceedings of the 6th International meeting VECPAR'04, 28-30 June 2004, Valencia, Spain, pp. 477-483. (2004) [Refereed Conference Paper]

[eCite] [Details]

2002Kim S, Nam J, Yeom SJ, 'Effective delivery of Virtual Class on Parallel Media Stream Server', Proceedings/ International Conference on Computers in Education, December 3-6, 2002, Auckland, New Zealand, pp. 134 & 135. ISBN 0-7695-1509-6 (2002) [Refereed Conference Paper]

[eCite] [Details]

2002Lee YB, Jeong JG, Park SC, Kim PK, Yeom SJ, 'The Blocking System on the Router against Virus Infected Files', Proceedings/ 2nd International Conference on Computer and Information Science, August 8-9, 2002, Seoul, Korea, pp. 583-586. ISBN 0-9700776-5-3 (2002) [Refereed Conference Paper]

[eCite] [Details]

1997Choi YJ, Yeom SJ, 'Implementing Tasmanian Visions: A Proposal', Proceedings of the ICCE97, Kuching, Sarawak, Malaysia, pp. 733-736. (1997) [Refereed Conference Paper]

[eCite] [Details]

Co-authors: Choi YJ

1996Choi YJ, Yeom SJ, 'Virtual classes', Australian Society for Computers in Learning in Tertiary Education (ASCILITE '96), Adelaide, pp. 93-99. (1996) [Refereed Conference Paper]

[eCite] [Details]

Co-authors: Choi YJ

1995Choi YJ, Gray AD, Yeom SJ, 'Interactive Korean Language Learning System', AUC Academic Conference Technology '95, Perth, pp. 303-310. (1995) [Refereed Conference Paper]

[eCite] [Details]

Co-authors: Choi YJ; Gray AD

Thesis

(2 outputs)
YearCitationAltmetrics
2016Yeom SJ, 'Undergraduate student acceptance of haptic simulation in gross anatomy learning' (2016) [PhD]

[eCite] [Details]

1995Yeom SJ, 'An Experiment in Multimedia' (1995) [Masters Coursework]

[eCite] [Details]

Other Public Output

(1 outputs)
YearCitationAltmetrics
2013Yeom S, Choi-Lundberg D, Fluck A, Sale A, 'User Acceptance of a Haptic Interface for Learning Anatomy', Proceedings of the IADIS International Conference on eLearning 2013, IADIS Press (International Association for Development f the Information Society), Czech Republic, 1, 2013, pp. 239-246. (2013) [Award]

[eCite] [Details]

Co-authors: Choi-Lundberg D; Fluck A; Sale A

Grants & Funding

Funding Summary

Number of grants

7

Total funding

$1,139,376

Projects

'Big Data' and learning analytics for Australian higher education: second stage of pilot project (2018)$11,132
Description
The primary aim of this prospective project is to examine university lecturers and tutors' pedagogical approaches and student engagement in online learning, through the use of Big Data and learning analytics, using UTAS as a starting point. In this project, emerging analytic techniques and skills (e.g. R & Python) will be adopted to analyse archived data from MyLO, including: online discussions, lecturer feedback, news . items, unit materials/resources, and student engagement statistics generated by MyLO analytics. This proposed project examines correlations between student engagement and participation and the following factors: 1.lecturers' and tutors' pedagogical support;2.student interactions with the lecturer, tutors and peers;3.types of teaching materials/resources uploaded; and4.student results and evaluation.Big Data indicates "large pools of data that can be captured, communicated, aggregated, stored, and analysed" (Manyika et al., 2011, p.4). Big Data analytics analyses the flow of information, and thereby, reveals hidden threads, trends and patterns in the data (Matteson, 2013). Therefore, it is relevant to all organisations, including higher education institutions, that produce large data sets, and wish to benefit from the interpretation of these data.In recent years, there has been an increase in the use of Big Data analytics for educational purposes, driven and facilitated by various reasons, one of which is the pressure faced by educational institutions towards performance management and student retention (Beer, 2010). One most common form of Big Data analytics in higher education is learning analytics. Learning analytics applications enable institutions to build predictive models on student outcomes, especially to identify at-risk students and to provide early warnings so that interventions can be made (Rienties et al., 2016). The proposed project, is the second stage of a frontier research to explore the use of Big Data and learning analytics to identify such patterns for higher education.
Funding
University of Tasmania ($11,132)
Scheme
Grant - CALE Hothouse Alignment Scheme
Administered By
University of Tasmania
Research Team
Fan S; Wang Y; Garg SK; Yeom SJ; Kregor GM
Year
2018
Enhancing the engagement and outcomes of learners through the development and use of Games and Creative Technologies (2012)$8,000
Funding
University of Tasmania ($8,000)
Scheme
Academic Career Development Group Activity Funding
Administered By
University of Tasmania
Research Team
de salas K ; Lewis I; Yeom S; Douglas T; King C; Choi-Lundberg D; Fluck A
Year
2012
3D Interactive Anatomy with Augmented Reality (2010)$7,213
Funding
University of Tasmania ($7,213)
Scheme
Teaching Development Grant
Administered By
University of Tasmania
Research Team
Yeom S; Fluck A; Sinha S
Year
2010
Research and Development of Virtual Classes (2001 - 2004)$1,000,000
Funding
University of Tasmania ($1,000,000)
Scheme
TDG Research & Development Grant
Administered By
University of Tasmania
Research Team
Choi Y; Yeom S; Paay J
Period
2001 - 2004
Understanding Asian Cultures and Societies through language (2000 - 2001)$19,000
Funding
University of Tasmania ($19,000)
Scheme
TDG Research & Development Grant
Administered By
University of Tasmania
Research Team
Hatley B; Harbon L; Yeom S
Period
2000 - 2001
Development of computer-based revision tutorials in microbiology (2000 - 2001)$9,031
Funding
University of Tasmania ($9,031)
Scheme
TDG Research & Development Grant
Administered By
University of Tasmania
Research Team
Burke C; Yeom S
Period
2000 - 2001
: Educational Multimedia CDRom (1998 - 1999)$85,000
Funding
Tasmania State Government ($85,000)
Scheme
DIST AusIndustry Grant
Administered By
University of Tasmania
Research Team
Choi Y; Yeom S; Foskett S
Period
1998 - 1999

Research Supervision

Current

5

Current

DegreeTitleCommenced
PhDInvestigating Enhancement of Digital Technology Competencies using DBR: A case study of southern Tasmanian year 6 teachers2018
PhDFuture of Officials in Modern Day Cricket2018
PhDApplication of Decision Support System for Product-Mix optimization in Food Industry: a Case Study on Dairy Products in Saudi Arabia2019
PhDEliminating Barriers in using Digital Technologies for the Residents of Saudi Arabia2019
PhDEarly Detection of Dementia Using Testing Tools in VR/AR Environment2019