Organizations that nail down a digital strategy that includes people along with processes and technology are more successful in retaining talent. Results – mature organizations emphasize transforming the business through targeted improvements in innovation, decision-making, and talent engagement. These are the types of organizations people want to work for as they can pivot in response to challenges and offer a better employee experience and long-term career outlook than less mature organizations. Plus, 66 percent of employers expect to get a return on investment in upskilling and reskilling within one year according to ‘the future of jobs 2020’ report.
Microlearning rationale
Microlearning rationale: time is precious and work is fast-paced on a digital marketing team. This means that access to learning and professional development opportunities needs to be as simple and flexible as possible. The answer? Online- or micro-learning. The popularity of online learning has surged in the past decade increasing from 300,000 in 2011 to 220 million in 2021 according to an edsurge article. This popularity is down to affordability and access, but for those in digital marketing, it’s also due to the need to continuously upskill rather than just do a degree or course and you’re done! Benefits: by learning online, individuals have the opportunity to upskill at a pace that fits their schedule and have the power to dip into resources as and when required.
The on-demand learning model offers easy access to content through
The on-demand learning model offers easy access to content through any device, not just a laptop. Applications that capture lectures, aid revision, and exam preparation along with student planning provide new ways for students to learn and access syllabus on the go. Results: the flexibility of online classes, the growth of hybrid models, and the ability to use smartphones and apps to conduct classwork have made online learning more appealing to students. For l&d departments, providing online learning gives access to data previously unavailable.
