Tired of custom-building every piece of training content? There’s a better alternative.
With increased personalization expectations, traditional content creation cannot keep up with today’s rapidly evolving world. But, AI-enabled content curation handles that efficiently. Instead of wasting endless hours creating training material, AI tools can assist organizations in organizing and filtering relevant information from massive databases.
If you use Auzmor Learn’s Learning Management System (LMS), integrating AI-powered content curation can have a great impact. Learning pathways become more streamlined, employee engagement immensely improves, and relevant information is guaranteed, which reduces the burden on your L&D department to constantly produce content.
So, what are some approaches to adopting an AI-powered content curation model within your LMS? Let’s analyze the definition of AI-driven content curation, discuss its importance, and strategize implementing it to revolutionize your learning ecosystem.
What is AI-Driven Content Curation?
AI-driven content curation refers to the use of advanced artificial intelligence tools for automating the search, structuring, and suggestion of learning materials as required by the user. AI curators do not have to search for content but rather analyze information available from different sources such as internal resources, external articles, research papers, videos, and more. AI constantly scans and analyzes these resources to assemble the most relevant learning experiences for learners.
Why AI-Driven Curation is Essential for L&D
One of the biggest challenges faced by Learning & Development (L&D) teams is keeping the training content current. As cited in a 2023 LinkedIn Learning report, 49% of L&D professionals reported issues with having relevant and up-to-date materials. The problem of curation is dealt with by AI that alters learning content according to industry advances, employee skill deficiencies, and organizational requirements. Here are the reasons why it is significant for L&D professionals:
- Eliminate content overload – An AI-driven system scans through huge volumes of information and picks out the most useful, current, and relevant materials, which enables employees to avoid wasting time learning content that is not aligned with their objectives. As a result, distractions are minimized, and excessive or obsolete resources do not overwhelm the learners.
- Enhances personalization – AI systems develop content suggestions that best fit an individual’s skills, job, and preferences. Instead of a generic approach, learners are provided with personalized training paths tailored to their specific issues, which enhances engagement and effectiveness.
- Saves time and effort for L&D teams – Rather than sifting through, analyzing, and sorting training materials on their own, L&D teams can now rely on AI to do all that for them. This leaves teams more time for important tasks such as reviewing learning plans and helping employees grow, instead of taking forever to update content.
- Boost engagement and knowledge retention – AI-driven learning delivers customized content in motivating, small, and easily digestible pieces to keep employees motivated. With learners being provided with materials that affect their job positions and career growth prospects, it ensures utmost engagement and retention of information for maximum efficiency.
How AI-Powered Content Curation Works in an LMS
AI’s effort goes into content curation for learning not only to retrieve appropriate material but also to present it to the correct learner when required. Here is what AI does within the LMS for content curation:
Content Aggregation and Filtering
AI searches numerous sources such as internal databases, industry articles, blogs, online classes, and so on, to locate and sift through valuable material. Certain LMS systems connect straightforwardly with outside sources such as Coursera, LinkedIn Learning, or YouTube, so learners can constantly refresh their knowledge.
Example: An employee from your sales department would like to learn how to negotiate. The AI system will find client interview videos, recently written research articles, and internal manuals to accomplish this goal.
Personalized Learning Recommendations
Using AI, machine learning and natural language processing enables computers to track user interaction, previous learning materials engaged or completed, roles, and skills that need enhancement. It uses all this information to provide every individual learner with appropriate suggestions to meet their needs.
Example: An employee in your organization finishes a data analytics course, and the LMS system will proceed to suggest an advanced course in predictive analytics, a TED talk meeting on data-driven decision-making, as well as a relevant industry case study.
Content Tagging and Categorization
The AI gives each content piece a relevant tag and puts it in a categorical folder based on a keyword. It skillfully organizes the content so employees will not struggle to look for materials within the LMS.
Example: AI analyzes the leadership training content and instead of tagging them manually as articles, it can assign tags like “strategic thinking,” “team manager,” or “conflict resolution” which make searches easier through elaborative tagging.
Adaptive Learning Paths
All employees are not onboarded the same way. AI assists employees in creating adaptive learning paths that provide a tailored learning experience that adjusts with time and the learning progress of the employee. For example, if an employee finds difficulty in a certain topic, the AI might suggest more useful underlying concepts before moving on to the advanced topic.
Example: If a learner misses the mark on a compliance quiz, AI could allow additional learning opportunities or immersive interactions to ensure the important details are understood.
Content Validation and Quality Control
In information overload, some content is bound to be unreliable or simply irrelevant. An AI-powered LMS sorts content using different fact-checking algorithms and quality scores to ensure learners are only provided with accurate and reliable material.
Example: If an irrelevant old blog post is flagged, AI suggests replacing ungraded material with a recently updated white paper from a credible author.
Building an AI-Driven Content Curation Strategy in Your LMS
With the understanding of how AI is used for content curation, the next step is integrating it into your LMS where you can leverage its best advantages. The most vital aspect is making sure that AI is supporting your business objectives by providing the right information at the right time while optimizing learning experiences. Here is how you can achieve this:
Clearly Define Your Learning Objectives
Before running towards AI-curated content, give yourself a moment and think about the targets you want to achieve with your learning programs. AI is a highly potent tool, but it requires the right goals set to produce effective outcomes. Begin by reflecting on these questions:
- What are the biggest skill gaps in our workforce?
- What is the most effective learning content for our employees? (Hands-on activities, articles, videos, interactive modules, etc.)
- How often do our learning materials need to be updated to stay relevant?
Example: Let’s say that you have a sales team that struggles with negotiation skills, AI-powered curation can help by suggesting that instead of dumping a 40-minute webinar on sales, a real-life case study, short expert-led videos, and interactive role-playing along with simulation be included.
Setting specific learning outcomes helps you ensure that AI is not just collecting random data, but instead, assembling materials that will help employees acquire the desired skills.
Choose an AI-powered LMS That Supports Smart Curation
Not all LMS platforms are equipped with automated AI-driven content curation, so ensure the one you choose does. Auzmor Learn is a robust AI LMS that analyzes learner actions, automates processes and personalizes suggested content for ease of learning.
While comparing LMS products, you should certainly look out for:
- AI-driven content recommendations– The system must offer learning materials tailored to specific job titles, previous training courses, and needed skills.
- Seamless integration with external content sources – The LMS must utilize internal documents and documents published on platforms such as LinkedIn Learning, Coursera, and Udemy.
- Automated tagging and categorization – AI should assist in the e-learning system by organizing content into skill, topic, and relevance that will enable learners to easily find relevant information.
- Adaptive learning pathways – The system should be able to provide tailored learning pathways considering the learner’s progress and participation in the unit.
Making the right choice of an LMS guarantees that AI does not merely summarize the content, but also delivers the right message to the desired learner at the right moment.
Using Internal and External Content Sources for AI-Driven Learning
AI will be able to use resources in content curation most efficiently when internal and external learning materials are integrated. Organizations can make certain that their LMS samples workers with relevant and quality training while using curation powered by AI.
Internal Company Sources
AI can enhance training by blending the company’s internal materials with company best practices and policy materials such as:
- The training manuals, SOPs, and policy documents serve as the baseline and compliance training materials.
- The capturing of employee insights through discussions, webinars and internal training sessions.
- Company knowledge base, FAQs, and case studies that provide real-world examples relevant to employees’ roles.
External Learning Platforms
AI is also able to supplement internal content by integrating it with external sources to offer specialized knowledge and industry insights:
- Skill-based courses on LinkedIn Learning, Coursera, and Udemy.
- Harvard Business Review articles, industry blogs, and research papers to help employees stay updated on trends.
- Educational videos, open-access tutorials, broadening learning perspectives
Expert Insights and Research
AI can further enrich learning by curating the content from direct experts. For example,
- Industry reports, whitepapers, and market research offer data-backed insights.
- TED talks, thought leadership articles, and keynote speeches providing expert perspectives.
- Cybersecurity case studies and real-world threat analyses, ensure IT professionals stay ahead of risks.
For Example, For an IT professional learning about cybersecurity, AI might curate:
- An internal security policy document for company-specific compliance.
- A LinkedIn Learning course on advanced cybersecurity techniques for technical training.
- A blog post from a leading cybersecurity firm on emerging threats.
- A TED Talk on ethical hacking to explore real-world applications.
Use AI in Microlearning and Just-in-time Training
Every learning experience does not have to be in the form of a course. AI helps create content for curation which allows employees to learn in small increments whenever they want and solves their issues in real-time. This is something that a lot of employees appreciate.
Example: Let me say that I have a customer service representative who has an angry customer on the phone and he needs assistance to calm the customer down. Rather than forcing the representative to sift through a multi-minute lecture, AI can assist him by pulling up a 3-minute clip talking about de-escalation techniques.
Example: One step before the meeting, a project manager preparing for a client negotiation may receive a real-world case study, a brief Harvard Business Review article, and a list of top negotiation strategies generated by AI. Everything they’ll need to take right before putting on their suits.
With AI microlearning integration, employees skillfully train while working, allowing for effortless, exciting, and practical learning.
Continuously Optimize Learning with AI-Powered Analytics
Like other forms of AI technology, AI-powered content curation is not plug-and-play. It must always be monitored and optimized for the best learning outcomes.
Your LMS should leverage AI-driven analytics to track:
- What materials do the learners interact with the most (videos, articles, quizzes, etc.)?
- How well do the learners retain and use the information provided (assessments, real-world performance metrics)?
- Which topics are missing from your content library (unanswered employee search queries)?
- What content is showing indicators that it needs to be replaced or updated (outdated articles, low-engagement courses)?
For instance, suppose there is a course in remote team management and it has low engagement and poor quiz scores. The AI would recommend:
- Replacing it with a more interactive video-based course.
- Including a case study from a remote-first company
- Create a short microlearning module with real-world scenarios
With the help of insights derived from AI, we can move towards ensuring that your LMS is not just curating content, but curating for the employees’ content needs over time.
The Future of AI-Driven Learning in LMS Platforms
AI-curated content is a game-changer for organizations when it comes to employee training and up-skilling. Now, organizations do not have to depend on rigid, one-size-fits-all courses. AI makes sure that every employee has access to the most relevant and updated learning experience.
AI can transform your LMS by:
- Elimination of unnecessary information, aiding in avoiding overload of the content.
- Creation of personalized learning paths about each learner’s desires.
- Reduction of time spent by L&D teams through automation of content discovery and organization.
- Improving knowledge retention by serving learners in the right format, at the right time.
As predicted by Gartner (2024), by 2026, 60% of enterprises are expected to have AI-powered learning solutions which is bound to boost the effectiveness of training and the engagement of employees.
Conclusion
If you need AI-driven content curation for your corporate training, Auzmon Learn offers a simple and effective solution. Our platform uses AI so that training materials do not have to be manually curated, allowing employees to learn in a relevant and up-to-date manner, effortlessly.
With AI-powered content curation, the days of endless hours spent on organizing and selecting training materials are over. Instead, our intelligent system autonomously fixes, recommends, and updates content for every individual learner, tailoring the training to their unique needs.
Let AI do the hard and boring work so you can help with what matters the most- the growth and productivity of your workforce.
