In a world where optimization, automation and gamification are the new normal, how can HR leaders efficiently adapt their talent development strategies to better align with the future of work? Today, technology solutions have taken center stage as HR leaders acclimate to the fast-paced, rapidly changing business landscape. Organizations need a digital transformation to help streamline their core HR functions, notably in learning and development.
So what’s next? Here’s a look at the top 5 trends providing digital dexterity in the HR industry.
1) Personalized learning
In the post-pandemic world, organizations focus less on stationary roles. Instead, workplaces prioritize the skills required to drive effective workflows and realize competitive advantages.
Transitioning to meaningful learning methods advances us from yesterday’s conventional, inexpedient training methods. Personalized learning journeys encourage employees to develop the critical skills that create internal mobility and propel workforce agility.
AI offers insights into learner behavior and performance metrics, driving future talent development strategies. All of this, in turn, can help organizations transition from a top-down approach to a more employee-centric strategy for learning and development.
2) Artificial intelligence
AI has helped revolutionize various industries, impacting all organizational functions, including the learning and development ecosystem. Educators and companies worldwide are realizing the value of personalized user experiences. According to a study by eLearning Industry, more than 47% of learning management tools will be enabled with AI capabilities within the next three years.
AI-based systems provide the best learner experience by automating and streamlining content management to create personalized learning journeys. AI helps guide the selection of relevant content, identifies skills and learning gaps and provides accurate recommendations aligned to the needs and preferences of individual users.
3) Collaborative learning
Earlier in the article, we discussed the shift in learning from the traditional instructional methodology to more immersive and interactive methods. Collaborative learning has become a meaningful way to share tacit knowledge and redefine conventional learning structures. Although virtual training began before the pandemic, it’s now a norm for most L&D organizations. Instructors and learners work together to achieve shared learning goals, often virtually.
Collaborative learning is people-centric. It’s an educational approach that uses groups to support learning. The interactive learning process encourages critical thinking and decision-making, two vital skills.
An example of collaborative learning outside the classroom is internal subject-matter experts authoring course content to ensure timeliness and relevance. Employees are engaged, and intellectual knowledge is readily shared, often using advanced Talent Experience Platforms.
4) Immersive learning
Educators often struggle with learners' retention power when teaching complex and layered concepts. A trainer can use an immersive, visual format like augmented reality (AR) to convey information and share knowledge. Especially in the case of complex and technical topics, it's more effective to use 3D imaging and augmentation rather than traditional teaching mediums. The learner sees superimposed elements on real-life objects, so they clearly understand the relationship.
Another tech trend to look forward to is virtual reality (VR). AR and VR are often used interchangeably but are distinctly different. While augmented reality overlays computer-generated objects in the natural environment, VR creates a new virtual world as a learning medium. It helps simulate real-life scenarios that learners can assess and learn from.
When using immersive learning, people perform real-life tasks in a simulated environment. The user's actions are recorded to replay and identify missed steps and mistakes. Employees can practice concepts without risk to machinery, tools or themselves.
A Learning Experience Platform (LXP) is a leading-edge alternative to Learning Management Systems (LMS) in large global corporations. This innovative technology helps learners and administrators with the resources needed to drive effective L&D initiatives.
Today, LXPs offer greater functionality due to AI and machine learning technologies. Using an LXP, learners can create or curate content from various internal and external sources to create personalized learning journeys. The LMS, on the other hand, was designed to manage prescribed internal content. However, these platforms are widely used in tandem. The LXP extends and enhances the LMS's capabilities by capturing all internal or external learning, supporting how people learn today.
By democratizing the learner's experience, LXPs put learners at the center of their skill development. Employees are engaged and can actively create a personalized professional development plan based on their goals and organizational objectives.
For additional information about the Cornerstone AI-powered Opportunity Marketplace, click here.
To learn how to creatively conquer the business challenges of tomorrow and ensure your people feel passionate about work, download this eBook co-authored by Dr. Edie Goldberg, an expert in the future of work and talent management.
Quer continuar aprendendo? Conheça nossos produtos, histórias de clientes e as informações mais recentes do setor.
Publicação em blog
A pillar of progress: AI for HR depends on good data
In the ever-evolving landscape of Human Resources (HR) technology, Artificial Intelligence (AI) has emerged as a game-changer. AI-driven tools promise to streamline HR processes, enhance decision-making and revolutionize the employee experience. However, the efficacy of these AI solutions is only partially dependent on the sophistication of algorithms or the power of computational hardware. In fact, a large part of the equation hinges on a fundamental foundation — good data.
Publicação em blog
The crucial role of humans in AI oversight
In the age of rapidly advancing artificial intelligence (AI) technologies, there’s often a concern that humans may become obsolete, replaced by intelligent machines. However, humans remain as vital as ever when overseeing and managing AI systems. Integrating AI technologies with human expertise and oversight is crucial to ensure ethical decision-making, maintain accountability and mitigate potential risks. Let's explore why humans play a pivotal role in AI oversight, even as technology progresses.
Publicação em blog
The importance of ethical AI for HR
In the ever-evolving world of HR technology, where the boundaries of possibility are constantly being pushed, one principle remains steadfast: ethical AI. It's not just about innovation — it's about harnessing the power of artificial intelligence with integrity and empathy. At the intersection of human resources and cutting-edge AI lies a pivotal juncture that can redefine the employee experience. One where ethical AI becomes the catalyst for creating a workplace that truly understands, supports and empowers its people.