Artificial Intelligence (AI)
2020 eLearning Trends To Look Out For
eLearning Trends To Look Out For 2020. eLearning industries will associate this time with exponential growth for many years to come.
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The year 2020 has turned out to be a year packed full of surprises. As the world comes to a halt to overcome a global emergency, businesses across industries are experiencing the effects of a slowing economy.
With that said, specific industries will associate this time with exponential growth for many years to come. One such sector is the eLearning industry.
With people confined to their homes, the notion that the time of self-isolation is perfect for upskilling has become increasingly popular. Not to forget, even businesses that were previously hesitant to adapt to the eLearning revolution are embracing the technology with open arms.
These changes are sure to have an influence over the future of the eLearning industry as a whole. Some upcoming trends you should look out for are:
Table of Contents
1. Digitization Of Instructor-Led Training
The blended training model that combines self-paced learning and instructor-led training have been gaining a lot of traction in recent years. However, a classroom setting will become less and less common in the coming future, even after the imminent threat of the pandemic has passed us.
As a result, many of the instructors led classroom sessions will have to be turned into instructor-led virtual courses.
While this adoption to an utterly virtual training environment was already expected, the transition will be much more accelerated than it was happening in the past years.
2. Artificial Intelligence In Learning
Artificial intelligence is another trend that has been helping improve the engagement of learners in online training scenarios. This impact is expected to be felt more evidently in the coming months and years.
As AI-powered chatbots integrated with learning management systems (LMS) become a more and more accepted part of learning management systems. As technology improves, AI is expected to act as an on-demand instructor for future learners, solving queries, and giving explanations in real-time.
Moreover, by combining the technology with others such as machine learning and data analytics, AI will be able to craft customized learning paths and branching scenarios catered to the unique strengths and weaknesses of the learners.
3. The Return Of Content Curation
Content curation is set to make a comeback as it becomes increasingly normal to use user-generated content in course materials. From TED talks to YouTube instructional videos, course creators are starting to understand that there is nothing wrong with using user-generated content as long as it is brilliant.
For instance, when a YouTube tutorial is used in a course, the instructional designer gets to add great content to their class. The Youtuber gets paid and gets recognition amoungst everyone that consumes the course. Finally, the learner receives access to cutting-edge training content.
It’s a win-win situation for all involved parties. With that said, if not used carefully, user-generated content has the potential to make your course curriculum confusing.
4. The Rise Of LXPs
Learning experience platforms are a step ahead of learning management systems. The platforms solve one of the most pressing L&D challenges, engaging learners.
Combining the powers of an authoring tool and a learning management system, LXPs deliver a personalized experience to the learners, geared towards addressing their shortcomings and refining their strengths.
The best part is, these new systems are already compatible with almost all the existing content formats, including videos, microlearning, podcasts, and much more.
Conclusion
The future of online learning seems bright, despite the dark conditions prevailing in the world right now. As these technologies (and many others) make learning more accessible, the online training industry is set to get much more competitive and lucrative at the same time.
AI Tools
A Guide To Using AI for Knowledge Management
Using AI for knowledge management and to transform massive data pools into actionable insights is not just beneficial; it’s becoming a necessity to stay competitive.
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In the digital era, the fusion of AI technology with knowledge management is revolutionizing the way organizations manage and exploit their informational assets. Using AI for knowledge management and to transform massive data pools into actionable insights is not just beneficial; it’s becoming a necessity to stay competitive. Keep reading to unlock the full potential of AI-driven knowledge management.
1. The Intersection of AI and Knowledge Management: A Synergy Explained
Knowledge management traditionally involves capturing, organizing, and distributing knowledge across an organization. When AI steps into this territory, the potential for enhanced efficiency and decision-making emerges. AI algorithms can sort through and analyze data at a rate no human can match, revealing patterns and insights that can be critical for strategic planning. This melding of AI with knowledge management practices is a modern alchemy, creating an invaluable resource.
One of the most significant benefits of integrating AI into knowledge management is the automation of data processing. AI systems can continuously learn from new data, refining their algorithms and providing even richer insights over time. Moving from static data repositories to dynamic knowledge hubs, businesses are now armed with constantly evolving intelligence. This represents a profound shift from data being a static historical record to a dynamic, predictive tool for decision-making.
Customization is another strong suit of AI in this space. Rather than one-size-fits-all information resources, AI can personalize knowledge dissemination to the needs of each employee. The focus moves beyond mere information access to ensuring the right knowledge reaches the right person at the right time.
2. Implementing AI in Your Knowledge Management Strategy
Transitioning to an AI-driven knowledge management system begins with identifying the scope and objectives of knowledge needed. Organizations must be clear about the kind of knowledge that is most valuable and how AI can aid in its cultivation and dissemination.
Following initial evaluations, the selection of appropriate AI tools and technologies becomes the next crucial step. There are various AI solutions designed for specific knowledge management tasks, from natural language processing for content analysis to machine learning models that predict trends and behaviors.
Integrating AI requires a cultural shift within the organization. Employee buy-in is crucial, and it is important to address any concerns about job displacement head-on. Training and educating the workforce on the benefits and use of AI systems can facilitate smoother adoption, ensuring everyone understands the role of AI as a partner, not a replacement, in the knowledge ecosystem.
3. The Impact of AI on Knowledge Retention and Dissemination
The true value of AI in knowledge management is often most visible when assessing knowledge retention and dissemination within the organization. AI-driven systems can significantly enhance the ability to capture institutional knowledge, store it and make it available in engaging, interactive formats that increase retention.
Analytics are also central to measuring the impact of AI on knowledge management. By evaluating these metrics, businesses can see whether the knowledge is being leveraged effectively, which areas may need more focus, and where improvements can be made.
Furthermore, AI can be a boon for training and development programs. By adapting to the learning pace and style of individual employees, AI can deliver personalized training recommendations and content, leading to more effective learning outcomes.
Altogether, AI is transforming the realm of knowledge management with its capacity to automate, personalize, and revolutionize how information is processed and utilized. Challenges notwithstanding, the rewards of integrating AI into knowledge management strategies are profound, paving the way for smarter.
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