INTERACTIVE PERSUASIVE LEARNING ELEMENTS AMONG ELDERLY: A MEASUREMENT MODEL
DOI:
https://doi.org/10.11113/jt.v77.6055Keywords:
Elderly, persuasive, interactive, structural equation model.Abstract
The increasing usage of computer technology in myriad fields involves almost all level of the society to interact with the technology. Although the receptions are going well, however, for certain level of ages in the society, the need seems to be difficult to them. Of the level, elderly is a must to be considered for designing and developing computer technology systems that suit them better. Hence, our study proposes a conceptual model of an interactive persuasive learning system to encourage the elderly to use a computer application for learning. This paper is part of our study that evaluates a measurement model of interactive elements of persuasive learning among elderly. This study used empirical study as a method for data collection. Data was collected from 300 elderly respondents and each respondent was supplied with a laptop to enable him/her to use the interactive courseware. The data was analyzed using the Structural Equation Modeling (SEM) with Analysis of Moment Structures (AMOS). The results have shown that the measurement model fits the data. Therefore, the model is suitable for interactive media among elderly. Further, this study intends to identify the relationship between the interactive media features and persuasive learning elements among elderly.
References
Fogg B. 2003. Persuasive Technology. Using Computers To Change What We Think And Do. Amsterdam: Morgan Kaufmann.
Albaina, I. A. M., Visser, T., Van der Mast, C. A., & Vastenburg, M. H. 2009. Flowie: A Persuasive Virtual Coach to Motivate Elderly Individuals to Walk. Paper presented at the Pervasive Computing Technologies for Healthcare, 2009. London, United Kingdom.
Lehto, T., & Oinas-Kukkonen, H. 2011. Persuasive Features in Web-Based Alcohol and Smoking Interventions: A Systematic Review of The Literature. Journal of Medical Internet Research. 13(3).
Dormann, C. 2000. Designing Electronic Shops, Persuading Consumers to Buy. Paper presented at the 26th Euromicro Conference, 2000., Maastricht, The Netherlands.
Yusoff, M. F. 2012. Virtual Hajj - A Persuasive Hajj Learning Procedures Courseware. Sintok: Universiti Utara Malaysia.
Looije R., Neerincx M. A. and Cnossen F. 2010. Persuasive Robotic Assistant For Health Self-Management Of Older Adults: Design And Evaluation Of Social Behaviors. International Journal of Human-Computer Studies. 68(6): 386-397.
Khaled, R. 2008. Culturally-Relevant Persuasive Technology. Victoria University of Wellington, New Zealand.
Oinas-Kukkonen, H., & Harjumaa, M. 2008. Towards Deeper Understanding of Persuasion In Software and Information Systems. Paper presented at the Advances in Computer-Human Interaction, 2008 First International Conference on.
Fogg, B., Cuellar, G., & Danielson, D. 2007. Motivating, Influencing, and Persuading Users. The Human-Computer Interaction Handbook. 358-370.
Yusof, Z and Kamsin, A. 2014. Game Rheotric: Interaction Design Model of Persuasve Learning for Serious Game.
Mikroyannidis, A., Okada, A., Scott P., Rusman, E., Specht M., Stefanov K., Boytchev, P., Protopsaltis, A., Held, P., Hetzner, S., Kikis-Padakakis,K., Chaimala, F. 2013. weSPOT: A Personal and Social Approach to Inquiry-Based Learning. Journal of Universal Computer Science. 19(14): 1-19.
Looije, R., Neerincx, M. A., & Cnossen, F. 2010. Persuasive Robotic Assistant for Health Self-Management of Older Adults: Design and Evaluation of Social Behaviors. International Journal of Human-Computer Studies. 68(6): 386-397.
Mayer, R. E. 2005. Introduction to Multimedia Learning (In R. E. Mayer ed.). The Cambridge Handbook of Multimedia Learning. 1-16. Cambridge, UK: Cambridge University Press.
Mayer, R. E. 2005. Introduction to Multimedia Learning (In R. E. Mayer ed.). The Cambridge Handbook of Multimedia Learning.1-16. Cambridge, UK: Cambridge University Press.
Knowles, M. 1991. Adult Education: Evaluation and Achievements in a Developing Field of Study (John M. Peters ed.). San Francisco: Jossey-Bass.
Bazerque J. A., Baingana B. and Giannakis G. B. 2013. Identifiability Of Sparse Structural Equation Models For Directed And Cyclic Networks. Proceedings of the IEEE Global Conference on Signal and Information Processing, Austin TX (GlobalSIP), 2013. 839-842.
Boontariq, W., Quirchmayr, G., Chutimasakul, W., and Papastraton, B. 2014. An Evaluation Model for Analysing Persuasive Systems in Mobile Healtcare. Computer, International and Telecomunication (CITS). 1-5.
Alavi M. and Leidner, D. E. 2001. Research Commentary: Technology-Mediated Learning - A Call For Greater Depth And Breadth Of Research. Information Systems Research, 12(1): 1-10.
Hiltz, S. R. 1986. The Virtual Classroom Using Computer-Mediated Communication for University Teaching. J. Communication. 36(2): 95-104.
Boulton-Lewis, G. M., Buys, L., Lovie-Kitchin, J., Barnett, K., & David, L. N. 2007. Ageing, Learning, and Computer Technology in Australia. Educational Gerontology. 33(3): 253-270.
Watering M. 2005. The Impact Of Computer Technology On The Elderly, from http://www. marekvandewatering.com/texts/HCI_Essay_Marek_van_de_Watering.pdf
Bazerque J. A., Baingana B. and Giannakis G. B. 2013. Identifiability Of Sparse Structural Equation Models For Directed And Cyclic Networks. Proceedings of the IEEE Global Conference on Signal and Information Processing, Austin TX (GlobalSIP), 2013. 839-842
Giotakos O., Tsirgogianni K. and Tarnanas I. 2007. A Virtual Reality Exposure Therapy (VRET) Scenario For The Reduction Of Fear Of Falling And Balance Rehabilitation Training Of Elder Adults With Hip Fracture History. Paper presented at the Virtual Rehabilitation 2007, Venice, Italy.
Kankainen A. and Lehtinen V. 2011. Creative Personal Projects Of The Elderly As Active Engagements With Interactive Media Technology. Paper presented at the 8th ACM Conference on Creativity and Cognition, Atlanta, Georgia, USA.
Boulton-Lewis, G. M., Buys, L., Lovie-Kitchin, J., Barnett, K., & David, L. N. (2007). Ageing, Learning, and Computer
Gerbing D. W. and Anderson J. C. 1985. The Effects Of Sampling Error And Model Characteristics On Parameter Estimation For Maximum Likelihood Confirmatory Factor Analysis. Multivariate Behavioral Research. 20(3): 255-271.
Nunnally Jum C. (1978). (second edition). Psychometric theory. New York: McGraw-Hill.
Gardner M. P. and Raj S. 1983. Responses to Commercials in Laboratory versus Natural Settings: A Conceptual Framework. Advances in Consumer Research. 10(1):142-146.
Thangarajoo Y. 2008. Computer-Based Motorcycle Engine Diagnosis and Troubleshooting Module Usability and Training Evaluation.(Master Thesis, Universiti Utara Malaysia, 2008).
Jamaan A. R. 2010. Panduan Lengkap Haji & Umrah. Johor: Universiti Teknologi MARA.
Chou, S. W., & Liu, C. H. 2005. Learning Effectiveness in A Web-Based Virtual Learning Environment: A Learner Control Perspective. Journal of Computer Assisted Learning. 21: 65-76.
Staphorst L., Pretorius L. and Pretorius T. 2013. Structural Equation Modelling Based Data Fusion For Technology Forecasting: A Generic Framework. Proceedings of the Technology Management in the IT-Driven Services, San Jose CA, (PICMET 2013).2163-2170.
Browne, M. W., & Cudek, R. 1993. Alternative Ways of Assessing Model Fit, in Testing Structural Equation Models (K. A. Bollen and J. Scott Long, ed.). Newbury Park, CA: Sage Publications.
Bentler P. M. 1989. EQS: Structural Equations Program Manual. Los Angeles, CA: BMDP Statistical Software.
Tucker, L. R., & C. Lewis. 1973. A Reliability Coefficient for Maximum Likelihood Factor Analysis. Psychometrika. 38: 1-10.
Reinard, John C. 2006. Communication Research Statistic. NJ: Sage.
Marsh H. W. and Hocevar D. 1985. Application Of Confirmatory Factor Analysis To The Study Of Self-Concept: First-And Higher Order Factor Models And Their Invariance Across Groups. Psychological Bulletin. 97(3): 562.
Awang Z. 2012. SEM Using AMOS Graphic. 8th edition, UiTM Press.
Hair Jr F. J., Black W. C., Babin B. J., Anderson R. E. and Tatham R. L. 2006. Multivariate Data Analysis. Upper Saddle River NJ: Pearson.
Garson G. D. 2008. Structural Equation Modeling. Statnotes: Topics In Multivariate Analysis. Retrivied from http://faculty.chass.ncsu.edu/garson/PA765/ partialr.htm.
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.
