research-article

Dynamic UX based m-learning using user profile of learning style

Authors:

Apichaya Nimkoompai,

Worapat PaireekrengAuthors Info & Claims

ICCIP '17: Proceedings of the 3rd International Conference on Communication and Information Processing

Pages 221 - 225

https://doi.org/10.1145/3162957.3162978

Published: 24 November 2017 Publication History

Abstract

M-learning has become more popular in the educational area as the important tool to play the significant role in people's daily life. However, there have been a few M-learning designs which have been considered the learners' needs and styles. This thus resulted in the ability to understand the lessons for several learners in various topics. With different learning style and user experience preferences for each user, therefore, the different user experience (UX) should be varied regarding to those factors. This research proposed the dynamic UX M-learning which suitable for each group of the learner. The information related to the learning style is kept in the user profile and used for UX and lesson selection suitably for user. The experiment has conducted for Introduction of Programming subjects. The pre-test and post-test methodology of user's learning based on user's learning style have been used to evaluate the user's effectiveness and satisfaction. It has shown that user who implemented user profile with learning style could derive the UX M-learning and content match to user's learning style. It found that all group of learners gave rate good for understanding the lessons at 3.63 out of 5. Likewise, user satisfaction criteria was rated good with scores at 3.84. The UX M-learning which taking into consideration of User Profile of Learning Style has the impact towards the attraction, emotions and provides the learners with the better understanding of the lesson.

References

[1]

Ronnie Simpson. 2016 .Mobile and tablet internet usage exceeds desktop for first time worldwide {Online} (San Francisco, CA and Dublin, Ireland; 1st November, 2016), Available: http://gs.statcounter.com/press/mobile-and-tablet-internet-usage-exceeds-desktop-for-first-time-worldwide.

[2]

Hassenzahl, M., Wiklund-Engblom, A., Bengs, A., Hagglund, S., & Diefenbach, S. 2015.Experience oriented and product-oriented evaluation: psychological need fulfillment, positive affect, and product perception. International Journal of Human-Computer Interaction (8 October 2015), pp530--544.

[3]

Don Norman and Jakob Nielsen.2017, "The Definition of User Experience (UX)" (Warm Springs Boulevard, USA, 2017), Available: https://www.nngroup.com/articles/definition-user-experience/

[4]

Alistair Sutcliffe.2009.Designing for User Engagement: Aesthetic and Attractive User Interfaces", Synthesis Lectures on Human-Centered Informatics (2009) Vol. 2, No. 1, pp 1--55.

Digital Library

[5]

ISO. (2010).2015, ISO 9241 Part 210, Human-centred design for interactive systems. In ISO 9241 Ergonomics of human system interaction (March 2015), Page 32.

[6]

S. Kremer, T. Sies, U. Lindemann. 2016. Designing Meaningful User Experiences: Interactive Learning Experience, 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (29 December 2016), pp286 --290.

[7]

Genevieve Stanton and Jacques Ophoff. 2013. Towards a Method for Mobile Learning Design, Issues in Informing Science and Information Technology (November 2013), Volume 10, pp501--523.

[8]

Ebenezer Anohah and Jarkko Suhonen. 2017. Trends of Mobile Learning in Computing Education from 2006 to 2014: A Systematic Review of Research Publications, International Journal of Mobile and Blended Learning, (IJMBL) (New Zealand, 2017), Vol. 9, pp18.

Digital Library

[9]

Ahmed Al-Hunaiyyan, Rana A. Alhajri, Salah Al-Sharhan. 2016, Perceptions and challenges of mobile learning in Kuwait, Journal of King Saud University -Computer and Information Sciences (18 December 2016), Vol. 29.

[10]

A. Dirin and M. Nieminen.2015.MLUX: Usability and User Experience Development Framework for M-Learning, International Journal of Interactive Mobile Technologies (2015), Vol. 9, No 3, pp. 37--49.

[11]

Amir Dirin and Marko Nieminen. 2017. User experience evolution of m-learning applications", 9th International Conference on Computer Supported Education 2017 (Porto, Portugal, April 2017), Vol. 9.

[12]

Lynda Thomas, Mark Ratcliffe, John Woodbury and Emma Jarman. 2002. Learning Styles and Performance in the Introductory Programming Sequence, Proceeding '02 Proceedings of the 33rd SIGCSE technical symposium on Computer science education (Newyork, USA, March 02, 2002), pp. 33--37.

Digital Library

[13]

Lílian Cândida da Silva Carmo, Maria José Marcelino, António José Mendes. 2007. The Impact of Learning Styles in Introductory Programming Learning, International Conference on Engineering Education (Coimbra, Portugal, September 3--7, 2007).

[14]

Apichaya Nimkoompai and Worapat Paireehreng, 2017. Framework for UX based m-earning using learning style and recommendation system", International Conference on Internet Studies (Bali, Indonesia, July 14--16, 2017), Vol. 8.

[15]

Worapat Paireekreng and Kok Wai Wong. 2010. Mobile Content Personalisation Using Intelligent User Profile Approach. Third International Conference on Knowledge Discovery and Data Mining (WKDD2010) (Phuket, Thailand, 09 Jan - 10 Jan 2010).

Digital Library

[16]

Worapat Paireekreng and Takorn Prexawanprasut, 2015. An integrated model for learning style classification in university students using data mining techniques, 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) (Hua Hin, Thailand, 20 August 2015).

[17]

R. M. Felder, and L. K. Silverman. 1988. Learning and Teaching Styles in Engineering Education, Engr. Education (1988), vol. 78(7), pp.674--681.

Cited By

Ruiz Nepomuceno ALópez Domínguez EDomínguez Isidro SMedina Nieto MMeneses-Viveros Ade la Calleja J(2024)Software Architectures for Adaptive Mobile Learning Systems: A Systematic Literature ReviewApplied Sciences10.3390/app1411454014:11(4540)Online publication date: 25-May-2024
https://doi.org/10.3390/app14114540
Costaguta RSarmiento WLuna-García H(2023)Recommendations to improve collaborative learning of Latin American computer science students according to dominant learning stylesCampus Virtuales10.54988/cv.2023.2.118512:2(45)Online publication date: 2-Nov-2023
https://doi.org/10.54988/cv.2023.2.1185
Hernandez-Cuevas BCrawford C(2021)A Literature Review of Physiological-Based Mobile Educational SystemsIEEE Transactions on Learning Technologies10.1109/TLT.2021.309831514:3(272-291)Online publication date: 1-Jun-2021
https://doi.org/10.1109/TLT.2021.3098315

Index Terms

Dynamic UX based m-learning using user profile of learning style
1. Applied computing
  1. Education
    1. E-learning

Recommendations

UX based adaptive e-learning hypermedia system (U-AEHS): an integrative user model approach

Adaptive E-Learning Hypermedia System (AEHS) has been known as a method to provide the optimized learning for each learner's unique characteristics. To this end, learning system developers configure the general characteristic elements of learners in ...
Learning style based individualized adaptive e-learning environments

As for this study, it concentrates on learning styles based AEHs.69 articles published from 2005 to 2014 were reached.These studies were put subjected to document analysis.This study seeks the existing tendencies and gaps in literature. The studies on ...
A Learning System Based on Learner Profile
CSEDU 2014: Proceedings of the 6th International Conference on Computer Supported Education - Volume 1

The main purpose of e-learning systems is to provide learningâ s materials to let learners upgrading their knowledgeâ s through Internet. To be more efficient, these systems must be able to present their learningâ s materials based on learnerâ s ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

ICCIP '17: Proceedings of the 3rd International Conference on Communication and Information Processing

November 2017

545 pages

ISBN:9781450353656

DOI:10.1145/3162957

Conference Chairs:
Jalel Ben-Othman
University of Paris 13, France
,
Feng Gang
UESTC, China
,
Program Chairs:
Jain-Shing Liu
Providence University, Taiwan
,
Masayuki Arai
Graduate School of Science and Engineering Teikyo University, Japan

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 November 2017

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

ICCIP 2017

ICCIP 2017: 2017 the 3rd International Conference on Communication and Information Processing

November 24 - 26, 2017

Tokyo, Japan

Acceptance Rates

Overall Acceptance Rate 61 of 301 submissions, 20%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
138
Total Downloads

Downloads (Last 12 months)6
Downloads (Last 6 weeks)0

Reflects downloads up to 20 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Ruiz Nepomuceno ALópez Domínguez EDomínguez Isidro SMedina Nieto MMeneses-Viveros Ade la Calleja J(2024)Software Architectures for Adaptive Mobile Learning Systems: A Systematic Literature ReviewApplied Sciences10.3390/app1411454014:11(4540)Online publication date: 25-May-2024
https://doi.org/10.3390/app14114540
Costaguta RSarmiento WLuna-García H(2023)Recommendations to improve collaborative learning of Latin American computer science students according to dominant learning stylesCampus Virtuales10.54988/cv.2023.2.118512:2(45)Online publication date: 2-Nov-2023
https://doi.org/10.54988/cv.2023.2.1185
Hernandez-Cuevas BCrawford C(2021)A Literature Review of Physiological-Based Mobile Educational SystemsIEEE Transactions on Learning Technologies10.1109/TLT.2021.309831514:3(272-291)Online publication date: 1-Jun-2021
https://doi.org/10.1109/TLT.2021.3098315

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents