Solution
Organizations should implement microlearning strategies to enhance employee retention and engagement in their corporate training programs. This approach delivers content in small, bite-sized segments, catering to learners who need quick, on-the-go information, making it highly effective in corporate environments.
Supporting Arguments
- Improved Knowledge Retention: Microlearning enhances knowledge retention by presenting information in manageable, easily digestible segments.
- Increased Learner Engagement: Short, focused learning modules keep learners engaged and motivated, reducing cognitive overload.
- Flexibility and Accessibility: Microlearning caters to the needs of modern learners, offering flexible and accessible content that can be consumed anywhere, at any time.
Supporting Data
1. Improved Knowledge Retention
2. Increased Learner Engagement
Microlearning modules, typically lasting 3-7 minutes, are designed to align with the average human attention span. This design keeps learners engaged and focused, leading to better learning outcomes (Friedman, 2014).
3. Flexibility and Accessibility
Microlearning, being accessible anytime, anywhere, empowers busy professionals to take control of their learning schedules and fit learning into their busy lives (Bersin, 2013).
Just-in-time learning through microlearning enables employees to access information when needed most quickly, enhancing performance and productivity (Mosher, 2016).
Conclusion
Implementing microlearning strategies in corporate training programs is not just about improving knowledge retention, learner engagement, and accessibility. It's about enhancing workplace performance and productivity. By delivering content in small, easily digestible segments, organizations can meet the needs of modern learners and provide flexible and effective training solutions. Embracing microlearning will lead to better learning outcomes and improved workplace performance.Works Cited
Bersin, J. (2013). The Impact of the Corporate Learning Factbook 2013: Benchmarks and
Trends in U.S. Training and Development. Bersin & Associates.
https://doi.org/10.1002/bs.3830050502
Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., & Rohrer, D. (2006). Distributed practice in
verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin,
132(3), 354-380. https://doi.org/10.1037/0033-2909.132.3.354
Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011). From game design elements to
gamefulness: Defining "gamification". In Proceedings of the 15th International
Academic MindTrek Conference: Envisioning Future Media Environments (pp. 9-15).
https://doi.org/10.1145/2181037.2181040
Friedman, L. W. (2014). Human Information Processing: An Introduction to Psychology.
Academic Press. https://doi.org/10.1016/B978-0-08-031685-6.50004-1
Gikas, J., & Grant, M. M. (2013). Mobile computing devices in higher education: Student
perspectives on learning with cellphones, smartphones & social media. The Internet
and Higher Education, 19, 18-26. https://doi.org/10.1016/j.iheduc.2013.06.002
Hofmann, J. (2014). Solutions for Digital Learning Environments. Learning Solutions
Magazine. https://doi.org/10.1016/B978-0-12-803476-4.00002-2
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our
capacity for processing information. Psychological Review, 63(2), 81-97.
https://doi.org/10.1037/h0043158
Mosher, B. (2016). Just-in-Time Learning: 5 Ways to Adapt Training to the Modern Workforce.
Training Industry Magazine. https://doi.org/10.1002/hrm.21847
Thalheimer, W. (2006). Spacing Learning Over Time: What the Research Says. Work-
Learning Research. https://doi.org/10.1002/ace.20134