The “Instructional Design 101” Course: Development of a Commercial Online Course with Microlearning Approach
DOI:
https://doi.org/10.33830/ptjj.v25i2.9616.2024Keywords:
Online Course Commercialization, microlearning, instructional designAbstract
In light of the burgeoning advancement of digital technologies and the subsequent rise of online courses, this study seeks to explore the commercial potential of an online course titled "Introduction to Instructional Design." This course leverages the innovative approach of microlearning, breaking down complex concepts into manageable modules. Given the growing demand for digital learning tools, the commercial viability of such a course is becoming increasingly significant, thereby presenting a promising avenue for educators, institutions, and course developers. The study employed the ADDIE model for course creation, which entails Analysis, Design, Development, Implementation, and Evaluation. This approach ensures a comprehensive analysis of the learner's needs and course objectives. The developed course comprises a curriculum of 10 modules, each containing six submodules, alongside video and text-based learning materials. Expert review yielded a weighted mean of 3.42, denoting the course as 'effective.' The findings underline the relevance and potential profitability of such a course in the current digital learning landscape.
References
Castillo, C A., Roberts, N K., Rojas, P A P., & Sánchez, S M C. (2016, May 16). Foreign Language Teaching and Learning in a Reading Comprehension and Writing Online Module: A Higher Education Analysis. https://scite.ai/reports/10.18562/ijee.2015.0015
Dolasinski, M. J., & Reynolds, J. (2020a). Microlearning: a new learning model. Journal of Hospitality & Tourism Research, 44(3), 551–561. https://doi.org/10.1177/1096348020901579
Dolasinski, M. J., & Reynolds, J. (2020b). Microlearning: a new learning model. Journal of Hospitality & Tourism Research, 44(3), 551–561. https://doi.org/10.1177/1096348020901579
Du, H., Zhou, N., Cao, H., Zhang, J., Chen, A., & King, R. B. (2021). Economic Inequality is Associated with Lower Internet Use: A Nationally Representative Study. Social Indicators Research, 155(3), 789–803. https://doi.org/10.1007/s11205-021-02632-8
Fischer, C., Baker, R., Li, Q., Orona, G. A., & Warschauer, M. (2021a). Increasing success in higher education: The relationships of online course taking with college completion and Time-to-Degree. Educational Evaluation and Policy Analysis, 44(3), 355–379. https://doi.org/10.3102/01623737211055768
Fischer, C., Baker, R., Li, Q., Orona, G. A., & Warschauer, M. (2021b). Increasing success in higher education: The relationships of online course taking with college completion and Time-to-Degree. Educational Evaluation and Policy Analysis, 44(3), 355–379. https://doi.org/10.3102/01623737211055768
Gao, Y., Wong, S L., Khambari, M N M., & Noordin, N. (2022, May 16). A bibliometric analysis of online faculty professional development in higher education. https://scite.ai/reports/10.1186/s41039-022-00196-w
Haelermans, C., Korthals, R., Jacobs, M., De Leeuw, S., Vermeulen, S., Van Vugt, L., Aarts, B., Prokic-Breuer, T., Van Der Velden, R., Van Wetten, S., & De Wolf, I. (2022). Sharp increase in inequality in education in times of the COVID-19-pandemic. PLoS ONE, 17(2), e0261114. https://doi.org/10.1371/journal.pone.0261114
Hoogerheide, V., Renkl, A., Fiorella, L., Paas, F., & Van Gog, T. (2018). Enhancing example-based learning: Teaching on video increases arousal and improves problem-solving performance. Journal of Educational Psychology, 111(1), 45–56. https://doi.org/10.1037/edu0000272
Idrizi, E., Filiposka, S., & Trajkovijk, V. (2021, February 2). Analysis of Success Indicators in Online Learning. https://scite.ai/reports/10.19173/irrodl.v22i2.5243
Lennox, J., Reuge, N., & Benavides, F. (2021). UNICEF’s lessons learned from the education response to the COVID-19 crisis and reflections on the implications for education policy. International Journal of Educational Development, 85, 102429. https://doi.org/10.1016/j.ijedudev.2021.102429
Mamaeva, D. V., Shabaltina, L. V., Garnova, V. Y., Petrenko, E. S., & Borovsky, S. S. (2020). Digital transformation of higher educational system. Journal of Physics Conference Series, 1691(1), 012081. https://doi.org/10.1088/1742-6596/1691/1/012081.
Mayadas, A. F., Bourne, J., & Bacsich, P. (2009). Online Education today. Science, 323(5910), 85–89. https://doi.org/10.1126/science.1168874
Mohammed, G. S., Wakil, K., & Nawroly, S. S. (2018). The effectiveness of microlearning to improve students’ learning ability. International Journal of Educational Research Review, 3(3), 32–38. https://doi.org/10.24331/ijere.415824.
Peterson, C. (2003). Bringing ADDIE to life: instructional design at its best. Journal of Educational Multimedia and Hypermedia, 12(3), 227–241. https://www.learntechlib.org/p/2074/article_2074.pdf
Rozitis, C. P. (2017). Instructional Design Competencies for Online High School Teachers Modifying their own Courses. TechTrends, 61(5), 428–437. https://doi.org/10.1007/s11528-017-0204-2
Selby, P., Goncharenko, K., Barker, M., Fahim, M., Timothy, V., Dragonetti, R., Kemper, K., Herie, M., & Hays, J. T. (2015). Review and evaluation of online tobacco dependence treatment training programs for health care practitioners. Journal of Medical Internet Research, 17(4), e97. https://doi.org/10.2196/jmir.3284
Susilana, R., Dewi, L., Rullyana, G., Hadiapurwa, A., & Khaerunnisa, N. (2022). Can microlearning strategy assist students’ online learning? Jurnal Cakrawala Pendidikan, 41(2), 437–451. https://doi.org/10.21831/cp.v41i2.43387
Wang, C., Shannon, D. M., & Ross, M. E. (2013). Students’ characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning. Distance Education, 34(3), 302–323. https://doi.org/10.1080/01587919.2013.835779
Yadav, A., Phillips, M. M., Lundeberg, M. A., Koehler, M. J., Hilden, K., & Dirkin, K. H. (2011). If a picture is worth a thousand words is video worth a million? Differences in affective and cognitive processing of video and text cases. Journal of Computing in Higher Education, 23(1), 15–37. https://doi.org/10.1007/s12528-011-9042-y
Zhang, Y., & Liu, B. (2021). Psychological distress among Chinese college students during the COVID-19 pandemic: Does attitude toward online courses matter? Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.665525
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Masyitha Nur Shabrina, Hardika Hardika, Dio Lingga, Nabil Muttaqin
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
