While researching innovation in instructional design I came across a paper titled “Revolutionizing online learning: How micro-learning and SMS technologies are changing the game” which the writer claimed (in the title, no less!) to be ‘changing the game’ (Stafford, 2023, np) when it came to online learning. I found this intriguing as I hadn’t thought of micro learning as recently revolutionary… in fact, I had created a program more than four years ago that used micro-learning. So, what is so revolutionary about a design model that has been around for a handful of years already? I had to dig in to find out more.

For those unfamiliar with micro-learning, the idea is information is provided in “short, stand-alone bursts or modules” (Dolansinski & Reynolds, 2020, p. 553). The idea is that in a world where social media such as YouTube shorts and TikTok provide 15-60 second entertainment to consumers, education should adapt to meet this new expectation of quick hits of information taken where time and efficiency allow instead of more traditional, long, and involved training. Stafford (2023) suggests that with these smaller “bite sized” pieces, knowledge is more easily digested and retained, with less chance of biting off more than one can chew or becoming overwhelmed with the whole.

What makes the micro-learning so radical in Stafford’s paper is the marriage of artificial intelligence (AI) with the micro-learning design, such as with adaptive learning where AI adapts to meet the needs of the user as they progress, as well as with chat-bot technology where there can be interaction with the learner and AI regarding real-time question and answers as they progress through the content, with chat-bot providing support as needed and just-in-time. Lastly, Stafford suggested that virtual reality (VR) is another aspect of AI that can be harnessed along with micro-learning to not only provide a bite sized learning experience but also allow for short real-life scenarios in a safe, risk-free environment.

Both micro-learning and artificial intelligence are reliant on technology; and while AI inherently more so, micro-learning typically incudes web-based modules or courses. An example provided by Dolasinski and Reynolds for micro-learning highlights “a 2-minute informational video, a 5-minute discussion during pre-shift, and a poster” (2020, p. 557) as sufficient training when it’s completed on-the-job. This style allows for learning in real-time, is efficient, inexpensive, and effective according to their study. When combining AI and micro-learning, that inexpensive benefit will likely no longer apply. One paper reviewed noted that “the more extensive the computing support, the more efficient the machine learning applications will become, raising the question of the cost and availability of such advanced computing power” (Shew et al, 2019, p. 3). The cost associated with the increase in tech required to add AI to micro-learning could push this education option outside the average learner’s budget. If cost is not a factor, the benefits claimed by Stafford are many:   

Microlearning content is more easily understood, and AI technologies can provide learners targeted support and guidance. Micro-learning and AI technologies can make creating and delivering high-quality learning experiences easier for educators. AI technologies can provide valuable insights into learners’ progress, enabling educators to make data-driven decisions about improving the learning experience. (np).

One option to by-pass the possible hindrance of a large bill from AI is Short Message Service (SMS) usage with micro-learning. Benefits include access to the learning with just-in-time availability with the help of mobile access that supports the short burst of knowledge and interactive quizzes or knowledge checks. SMS is particularly adept at this, able to send out text message reminders and curated information as programmed by the user, on a platform most are fluent in and have already invested in the required technology (smart phones).  

I see SMS and micro-learning as the true revolutionary innovation in digital learning. It’s accessible to the every-day user, and while relying on technology it taps into tools most already own so no large investment required. As with any technology there is privacy and security risk involved, but no significant exchange of personal information needs to be exchanged once the user downloads the appropriate app with the microlearning of their choice. I look forward to seeing how this technology evolves over time, and how organizations come to adapt to the wants and needs of a new generation of learners.

References:

Dolasinski, M. J., & Reynolds, J. (2020). Microlearning: a new learning model. Journal of Hospitality & Tourism Research, 44(3), 551-561. https://journals.sagepub.com/doi/full/10.1177/1096348020901579?casa_token=__r-bHeWU8gAAAAA:9IQGiculdjFQIuz-bUUGjw2J3y-EoN8bAUPu5wGX4IinZ-w3bv_vnmjZcmi3I7Q6PKJV6HFC0XhePyQ

Mun, J., Housel, T., Jones, R., Carlton, B., & Skots, V. (2020). Acquiring artificial intelligence systems: Development challenges, implementation risks, and cost/benefits opportunities. Naval Engineers Journal132(2), 79-94. https://www.jmir.org/2019/7/e13659/PDF

Stafford, T.M. (2023). Revolutionizing online learning: How micro-learning and SMS technologies are changing the game. Medium. https://medium.com/id-confidential/revolutionizing-online-learning-how-microlearning-and-sms-technologies-are-changing-the-game-1384b1a91f47