Online Identities in the post COVID-19 era

As the COVID-19 outbreak forces in-classroom training to turn online, digital identities come to shed light on the field of online safety. On the other hand, the subsequent lockdown has driven a huge rise in remote working, leading not only businesses, but employees as well to develop their digital skills towards a total digital transformation.

Suddenly, we have all found ourselves in need of secure ways to log into online systems, while, at the same time, being on the front line of a local COVID community that has sprung up with no established ways of people being able to identify the identity of the community’s members.

As the pandemic onslaught revealed a great opportunity for policy makers to reflect on the legal plausibility that comes together with the deployment of emerging technologies, humanity seems to face a peak moment in terms of collaborative work.

Although drones, 3D printing, machine learning and open source technologies have been deployed, new initiatives should be emerging towards endeavor to secure digital identities and verify credentials with the onset of COVID-19 Digital Response. This should lead to start laying the joint development of applications and shared data models on which digital economy and online safety are established.

References:

  • Writer, G. (2020, July), How Digital Identity is Expanding with COVID-19 Digital Response, ICT Works, retrieved 30.09.2020 from https://www.ictworks.org/how-digital-identity-is-expanding-with-covid-19-digital-response/#.YCOeQHmxXmE
  • Kundu, S. & Mallick, A. (2020, December), Digital identity in the post-COVID era – how Open Banking can help, Accenture, retrieved 20.12.2020 from https://bankingblog.accenture.com/digital-identity-post-covid-open-banking

 

Latest trends in e-Learning

Digital learning adoption is rapidly increasing bringing in the forefront broad initiatives for the growth of Learning Management Systems (LMS). Those include Bring Your Own Device (BYOD) Policy, Artificial Intelligence (AI) integration along with Machine Learning (ML) and enterprise mobility. Especially with COVID-19 outbreak, companies are urgently scrutinizing technologies that can help them cope with remote working and social distancing (Markets and Markets, 2020). Nevertheless, poor motivation and low engagement of SMEs increases the need of creating personalized and inclusive online learning solutions.

As e-learning solutions that are accessible from anywhere and on any device are proliferating the Learning Management System (LMS) market growth, cloud-based LMS platforms deployed as Software as a Service (SaaS) are becoming more and more dominant in the industry (Meticulous Research, 2019).

On the other hand, while “TV-style” learning becomes more and more popular, Learning Experience Platforms (LXP or LEP) sit on top of LMS delivering intuitive micro-learning experiences that are based on Machine Learning  (ML) implementing their own Learning Record Store (LRS) (Bersin, 2017).

In fact, the Learning Experience Platform (LXP) market is increasingly getting too big to ignore as LMSs were never designed to be user-centric (Bersin, 2019). Instead, in the post pandemic era, where everything seems to having already turned online, a ‘Netflix-style’ environment, in terms of intuitive user experience, skills mapping and personalized pathways, is reshaping the e-learning industry, rapidly becoming a driver of business success (Ezzheva, 2020).

References:

– Bersin, J. (2019, June 29). Learning Technology Evolves: Integrated Platforms Are Arriving. Retrieved from: https://joshbersin.com/2019/06/learning-technology-evolves-integrated-platforms-are-arriving/

– Bersin, J. (2019, March 8). Learning Experience Platform (LXP) Market Grows Up: Now Too Big To Ignore. Retrieved from: https://joshbersin.com/2019/03/learning-experience-platform-lxp-market-grows-upnow-too-big-to-ignore/

-Markets and Markets. (2020, June). LMS Market by Component (Solution and Services), Delivery Mode (Distance Learning, Instructor-Led Training and Blended Learning), Deployment Type, User Type (Academic and Corporate), and Region – Global Forecast to 2025. Retrieved from Markets and Markets: https://www.marketsandmarkets.com/Market-Reports/learning-management-systemsmarket-1266.html