Conceptualising Digital-Based Instructional Strategies for Elderly Learning
Keywords:
Elderly learning, Instructional strategy, Technology Acceptance Model, TechnologyAbstract
With the increasing number of elderly people and the vastly developing technologies in today’s world, technological devices can be considered an essential item that every household must have. Every individual must possess digital literacy. However, not everyone can handle technological devices. The high possibility of facing sensory and cognitive decline after the fourth decade of their lives makes the elderly operate slower than other users of technologies. The integration of instructional strategies during the teaching and learning period with elderly learners could mitigate the barriers between the elderly and their learning. In this study, an extensive literature review was conducted to look into past research on instructional strategies for elderly learners was used. From the literature reviewing, six instructional strategies were identified. This study adopted the Technology Acceptance Model (TAMS) by proposing a conceptual model, placing the instructional strategies as the determinants and drive for the elderly learners to use technologies.
References
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-t
Akatsu, H., Miki, H., Hosono, N. (2007). Design Principles Based on Cognitive Aging. In: Jacko, J.A. (Ed.), Human-Computer Interaction. Interaction Design and Usability. 12th International Conference, HCI International 2007. Beijing, China. pp. 3-10. July 22-27 Proceedings, Part I. Springer-Verlag Berlin Heidelberg. https://doi.org/10. 1007/978-3-540-73105-4_1.
Akdeniz, C. (2016). Instructional Strategies. Instructional Process and Concepts in Theory and Practice, 57-105. https://doi.org/10.1007/978-981-10-2519-8_2
Anisur, M., Qi, X., & Islam, T. (2016). Banking access for the poor: Adoption and strategies in rural areas of Bangladesh. Journal of Economic & Financial Studies, 4(3), 1-10.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qual Res Psychol. 3(2), 77-101.
Callum, K. M., & Jeffrey, L. (2013). The influence of students’ ICT skills and their adoption of mobile learning. Australasian Journal of Educational Technology, 29(3), 303-314.
Campbell, J. (2002). Career and Life Management for Senior High School: Guide to Implementation. Alberta Learning.
Castilla, D., Botella, C., Miralles, I., Bretón-López, J., Dragomir-Davis, A. M., Zaragoza, I., & Garcia-Palacios, A. (2018). Teaching digital literacy skills to the elderly using a social network with linear navigation: A case study in a rural area. International Journal of Human-Computer Studies, 118, 24-37. doi:10.1016/j.ijhcs.2018.05.009
Chau, P. Y. K., & Hu, P. J. H. (2002). Examining a Model of Information Technology Acceptance by Individual Professionals: An Exploratory Study. Journal of Management Information Systems, 18(4), 191-229.
Damant, J., & Knapp, M. (2015, May). What are the likely changes in society and technology which will impact upon the ability of older adults to maintain social (extra-familial) networks of support now, in 2025 and in 2040? LSE Research Online.http://eprints.lse.ac.uk/63146/1/__lse.ac.uk_storage_LIBRARY_Secondary_libfile_shared_repository_Content_Damant,%20J_What%20likely%20changes_Damant_What%20likely%20changes_2015.pdf
Davis F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Qarterly, 13(3), 319-340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
Elkhani, N., Soltani, S., & Nazir Ahmad, M. (2014). The effects of transformational leadership and ERP system self-efficacy on ERP system usage. Journal of Enterprise Information Management, 27(6), 759-785.
Fink, L. D. (2003). Creating significant learning experiences: An integrated approach to designing college courses. Jossey-Bass
Fisk, A., Rogers, W., Charness, N., Czaja, S., & Sharit, J. (2004). Designing for older adults. Principles and Creative Human Factors Approaches. CRC Press LLC.
Gamberini, L., Alcaniz, M., Barresi, G., Fabregat, M., Ibanez, F., & Prontu, L. (2006). Cognition, technology and games for the elderly: An introduction to ELDERGAMES Project. PsychNology Journal, 4(3), 285-308.
Grynova, M., Khimchuk, L., & Szymczyk, K. (2020). Development of collaboration, research and mentoring skills of pre-service teachers facilitating ICT learning by older adults. Advanced Education, 7(16), 112-118. https://doi.org/10.20535/2410-8286.220022
Guner, H., & Acarturk, C. (2018). The use and acceptance of ICT by senior citizens: a comparison of technology acceptance model (TAM) for elderly and young adults. Universal Access in the Information Society, 19(2), 311-330. https://doi.org/10.1007/s10209-018-0642-4
Hultberg, P., Santandreu Calonge, D., & Safiullin Lee, A. E. (2018). Promoting Long-lasting Learning Through Instructional Design. Journal of the Scholarship of Teaching and Learning, 18(3). https://doi.org/10.14434/josotl.v18i3.23179
Iancu, I., & Iancu, B. (2017). Elderly in the Digital Era. Theoretical Perspectives on Assistive Technologies. Technologies, 5(3), 60. https://doi.org/10.3390/technologies5030060
Iancu, I., & Iancu, B. (2020). Designing mobile technology for elderly. A theoretical overview. Technological Forecasting and Social Change, 155, 119977. doi:10.1016/j.techfore.2020.119977
Jahangir, N. & Begum, N. (2008). The Role of Perceived Usefulness, Perceived Ease of Use, Security and Privacy, and Customer Attitude to Engender Customer Adaptation in the Context of Electronic Banking. African Journal of Business Management, 2, 32-40.
Joo, J., & Sang, Y. (2013). Exploring Koreans’ smartphone usage: An integrated model of the technology acceptance model and uses and gratifications theory. Computers in Human Behavior, 29(6), 2512-2518. http://doi.org/10.1016/j.chb.2013.06.002
Kripanont, N. (2007). Examining a Technology Acceptance Model of Internet Usage by Academics within Thai Business Schools. Faculty of Business and Law, Victoria University.
La Morte, W. W. (2019, September 9). The Theory of Planned Behavior. Behavioral Change Models. https://sphweb.bumc.bu.edu/otlt/mph-modules/sb/behavioralchangetheories/BehavioralChangeTheories3.html
Lee, S., & Kim, B. G. (2009). Factors affecting the usage of intranet: A confirmatory study. Computers in Human Behavior, 25(1), 191-201.
Mathieson, K. (1991). Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior. Information Systems Research, 2(3), 173-191. https://doi.org/10.1287/isre.2.3.173
Melenhorst, A. S., & Bouwhuis, D. G. (2004). When do older adults consider the internet? An exploratory study of benefit perception. Gerontechnol. J., 3.
Minge, M., Bürglen, J., & Cymek, D. H. (2014). Exploring the Potential of Gameful Interaction Design of ICT for the Elderly. HCI International 2014 - Posters’ Extended Abstracts, 304-309. https://doi.org/10.1007/978-3-319-07854-0_54
Negahban, A., & Chung, C.-H. (2014). Discovering determinants of users perception of mobile device functionality fit. Computers in Human Behavior, 35, 75-84.
Oliver, J., Gordon, S. P., & Oliver, M. L. (2018). Examining the Value Aspiring Principals Place on Various Instructional Strategies in Principal Preparation. International Journal of Education Policy and Leadership, 13(3). https://doi.org/10.22230/ijepl.2018v13n3a735
Rama Murthy, S., & Mani, M. (2013). Discerning Rejection of Technology. SAGE Open, 3(2), 215824401348524. https://doi.org/10.1177/2158244013485248
Razmak, J., & Bélanger, C. H. (2018). Management of techno-psychological factors influencing the patient-physician electronic relationship. International Journal of Healthcare Technology and Management, 17(1), 29. https://doi.org/10.1504/ijhtm.2018.10012955
Scott, S., & Scott, D. E. (2015). Principal preparation experiences. In C.L. Slater & S.W. Nelson (Eds.), Understanding the principalship: An international guide to principal preparation (pp. 45–70). Available from http://dx.doi.org/10.1108/S1479-3660(2013)0000019007
Seechaliao, T. (2017). Instructional Strategies to Support Creativity and Innovation in Education. Journal of Education and Learning, 6(4), 201. https://doi.org/10.5539/jel.v6n4p201
Seel, N. M., Lehmann, T., Blumschein, P., & Podolskiy, O. A. (2017). Instructional Design for Learning. Tech Know Learn. Published. https://doi.org/10.1007/978-94-6300-941-6
Tarhini, A., Elyas, T., Akour, M. A., & Al-Salti, Z. (2016). Technology, Demographic Characteristics and E-Learning Acceptance: A Conceptual Model Based on Extended Technology Acceptance Model. Canadian Center of Science and Education, 6(3), 72-89.
The Royal Institute. (2012). Dictionary of Education. The royal institute.
U.N. (2019). World Population Ageing 2019. Un.Org. https://www.un.org/en/development/desa/population/publications/pdf/ageing/WorldPopulationAgeing2019-Highlights.pdf
Van Volkom, M., Stapley, J. C., & Amaturo, V. (2014). Revisiting the digital divide: Generational differences in technology use in everyday life. North Am. J. Psychol. 16(3), 557-574.
Venkatesh V., Morris M. G., Davis G. B., & Davis F. D. (2003) User acceptance of information technology: toward a unified view. MIS Quarterly Management Information Systems, 27(3), 425-478.
Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
Zharkova, A. A., Losyakov, A. V., Anufriev, A. F., Krokhina, J. A., Mayorova, E. I., Gundarin, M. V., & Grigorev, S. M. (2020). New educational strategies for life quality of retirement age people during pandemic. Cypriot Journal of Educational Science. 16(2), 819-825. https://doi.org/10.18844/cjes.v16i2.5678
