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Learning & Development

Trends in employee learning and development

Get ahead with innovative strategies and technologies. Discover the 2023 trends that are shaping the future of workforce skills.

The landscape of training and development is perpetually evolving to accommodate the requirements of organizations and their employees. Amid the recent upheaval in the business world, this evolution has begun to resemble a revolution.

LinkedIn’s 2023 Workplace Learning report revealed that the required skillsets for modern work have changed by 25% since 2015, and this figure is expected to double by 2027. Coupled with recent findings that indicate 77% of employers are struggling to fill roles, (a 17-year high), the need to offer impactful reskilling and onboarding programs are more important than ever.

As new technologies are released and adopted it increases the need for solid foundational training. If you asked me what a ‘prompt engineer’ was last year, I wouldn’t have been able to say what it does or what skills are necessary to excel within that role.

In such a climate, companies boasting comprehensive and adaptable employee training and development programs are best equipped for success. With fewer external talents entering businesses and the nature of work adapting to align with novel digital strategies, the competitive advantage derived from cultivating employees internally is only expanding.

However, maintaining that ability requires constant work and an understanding of the new trends affecting the field.

Key learning and development trends

Listed below are learning and development trends every business needs to be aware of.


11 Learning and Development Trends That Will Shape 2024

Time flies when you’re having fun, and as we approach the threshold of 2024 (Really?!), we can already foresee that the learning and development space is unsurprisingly set to undergo many transformative shifts, with plenty of innovation taking centre stage over the course of the next 12 months.

The coming year promises a dynamic journey for both organisations and individuals committed to continuous learning, from integrating cutting-edge technologies to redefining traditional and old-hat ways of learning.

So if you’re curious to learn more about the key trends shaping our industry, keep on reading as we delve into the 11 L&D trends poised to shape the educational landscape in 2024, offering insights that will empower businesses and learners alike to navigate the exciting path ahead.

If that sounds good to you – Let’s jump right in

9 Learning and Development Trends That Really Matter for 2024

Skim articles about L&D trends for 2024, and you’ll see several recurring themes, many of which appeared in L&D trends for 2023 articles as well. Prominent among them are AI, leadership development, soft skills, personalized training, and learning analytics. Industry leaders generally agree on many of the key issues affecting L&D. And, they agree that the role of L&D–at both the short-term and strategic levels–is expanding. So, the stakes are high.

There’s another subtle, but essential, element that occurs in several articles and conversations: balance. As an L&D leader moving into 2024, you’ll need to recognize and incorporate newly developing trends, continue to implement recent trends–many of which relate to a still-evolving post-COVID work environment–AND be savvy enough to know which tried-and-true practices are still relevant. Your success will necessitate the ability to understand the proper balance between all of these elements.

What are the most important learning and development trends and priorities for 2024?

L&D Trends in 2024: Shaping Future Workforces and Optimizing Learning as a Business

2024 will be characterized by a transformative shift in the learning landscape, with learning and development (L&D) continuing to strategically align with business goals. Let’s explore key L&D trends, from the crucial role of emotional intelligence and evolving instructional design to the rise of skills-based organizations and the integration of artificial intelligence (AI) in workplace learning. We’ll dive into the dynamic interplay of technology, adaptability and continuous learning, shaping a future where L&D becomes a proactive driver of organizational success.

The Best Learning Management Systems (2024 Update)

Summary: There are tons of things to consider when it comes to opting for the right Learning Management System. Need help finding the right LMS? Here is a comprehensive list of the best Learning Management Systems on the market as well as an article about the “Top Things To Consider When Choosing An LMS.” First off, we start by ranking the best Learning Management Systems for all needs and budgets. After listing the top tools, we transition into the key elements to consider before you decide which LMS you should buy.

Which Are The Best Learning Management Systems For 2024?

The LMS market is expected to grow up to 25.7 billion USD by 2025 [1]. The highest proportion of revenue contribution is expected to be generated in North America [2]. 41.7% of global Fortune 500 companies now use some form of educational technology to instruct employees during formal learning hours [3]. Roughly half of all college classes will be eLearning-based [4]. It is more than obvious that eLearning has revolutionized and changed the way we look at knowledge and skill acquisition. Thereby, there is an increasing demand for Learning Management System solutions to systematically manage eLearning.

With 1000+ LMS vendors and too many LMS features to choose from, we can definitely say that Learning Management Systems are here to stay! In this article, we will help you find, choose, and compare the best LMS software in the eLearning Industry. Below you will find LMS highlights, use cases, case studies, and more!

That’s all you need to keep into account when you are looking for an LMS. After checking the top list, make sure that you read our LMS selection tips!

The Best LMS Platforms Ranked [2024 Winners]

Large Language Models (LLMs) and AI Development

Artificial intelligence (AI), particularly through the use of large language models (LLMs) like OpenAI’s GPT-3, is significantly impacting various sectors by automating tasks, enhancing accuracy, and speeding up innovations, from software development to bioinformatics. Advancements like Bayesian optimization for model training, innovative efforts to address AI biases, and the introduction of tools for legal automation and API management showcase AI’s transformative potential. However, this progress is accompanied by challenges such as computational demands and ethical concerns. As AI evolves, balancing its capabilities with ethical implications becomes crucial, raising questions about how to leverage AI’s potential responsibly while addressing inherent challenges and biases.

As we navigate daily, we often come across artificial intelligence (AI) without even realizing it. From our phones forecasting the next word we’ll type to recommendation algorithms on entertainment platforms, AI is intricately laced into our modern lives. One specific area where AI has real transformative potential is in its engagement with large language models (LLMs). You can think of LLMs as the engine behind AI’s ability to understand, generate, and engage in human-like text interactions. But like any other evolving technology, there are equal parts excitement and caution as we ponder about its future implications.

On one side, we’re experiencing groundbreaking revolutions in numerous sectors. Imagine taxonomizing bugs in software development. LLMs like OpenAI’s GPT-3 are aiding here by automating and enhancing unit test processes — catching potential errors and redundancies, and improving accuracy and coverage. They feed on feedback and grow with each refinement, pointing towards an increasingly seamless software lifecycle. Bioinformatics, too, has seen noteworthy innovations, such as GeneGPT, an AI model that accelerates gene sequence generation, fueling rapid discoveries in genetic engineering and drug development.

But how are these models trained and improved upon? Bayesian optimization comes into play here, as it expedites large language model evaluation processes. A surrogate model predicts LLM performance, enabling swifter and more precise evaluations. Take this appreciation towards more accuracy, marry it with Aya’s open-source project inviting diverse perspectives to annotate datasets, and we witness innovative strides in tackling AI biases, ensuring transparency and more equitable AI systems.

Amid this remarkable progress, developers recognized the need for more control. Enter OpenAI’s ChatGPT language model, enhanced with memory and fresh control mechanisms to amplify its utility. Simultaneously, novel approaches to model monitoring have sprung up, using OpenAI’s debug API, allowing developers to gain insights into decision-making processes, identify biases, and address performance glitches — all of which improve the models’ transparency and accountability.

In the legal world, automation is increasingly prevalent. A new command-line interface tool capable of aggregating repositories, research papers, and documents can streamline routine tasks. Whether you are a scholar, law student, or legal professional, the tool could become your best friend, saving time and improving data analysis.

As we’ve seen, AI is breaking boundaries. Kong 3.6 introduced a language modeling middleware, making API management smooth for developers — even those without deep technical know-how. Another pioneering advancement, the LWM (Language Model with Open Weights), expanded the context window drastically — from 512 tokens to a mammoth 1 million tokens. This expansion means potentially nuanced translations, consistent text generations, and a more robust comprehension of multifaceted requests. Yet, beneath this progress, challenges lurk — namely, computational power and data requirements.

That’s not all! The subtle star behind AI’s curtain is automatic differentiation — a technique that calculates gradients imperative for algorithm optimization and neural network training. This technique, aided by frameworks like TensorFlow and PyTorch, has democratized the development of sophisticated AI models despite some inherent trade-offs.

Looking ahead, we see AI in a striking dance of balance — evolving in its capabilities yet wrestling with its ethical implications. From improving software development to revolutionizing genetic engineering, AI’s potential is colossal. Yet, challenges sprout alongside — for instance, bias in machine-generated content and the extensive computational needs of more advanced models. This balancing act hints at a future where technology will continuously redefine its boundaries while humanity grapples with its implications.

As we wrap up our AI journey, we must realize that these leaps in AI, promising as they may be, are not devoid of concerns. The question then becomes — how do we harness AI’s sky-high potential while staying grounded in our ethical responsibilities? As we step into the future, we’ll need to keep engaging in this vital dialogue — a tale of both awe and caution, of progress and prudence.

The Future of Education: LLMs in Personalized Learning and Development

In the digital age, technology has become a cornerstone of education, transforming traditional teaching methods and facilitating innovative learning experiences. From online courses that offer flexibility to diverse learners, to educational apps that provide interactive learning activities, technology has broadened the horizons of educational possibilities. Amidst this technological evolution, a significant shift towards personalized learning has emerged as a key trend.

Personalized learning tailors educational experiences to meet individual students’ needs, abilities, and interests, aiming to enhance engagement, comprehension, and retention of knowledge. This approach contrasts with the one-size-fits-all model of traditional education, promising a more effective and inclusive way to educate.

Enter Large Language Models (LLMs)—advanced AI systems capable of understanding and generating human-like text. LLMs are poised to take personalized learning to new heights. These models, powered by vast amounts of data and sophisticated algorithms, can generate customized content, interact in natural language, and adapt to the unique learning styles of individual students. The potential of LLMs in education is vast, from creating tailored study materials and providing real-time feedback, to facilitating one-on-one tutoring sessions that cater to the specific strengths and weaknesses of each student. By leveraging LLMs, educators and learners can transcend traditional barriers, offering personalized educational journeys that are dynamic, responsive, and deeply engaging.

This article explores the transformative role of LLMs in the future of education, particularly in personalized learning and development. It delves into how these powerful AI tools can create more inclusive, effective, and engaging learning experiences, ultimately preparing students not just for academic success, but for a lifetime of learning and development. Here’s what we will cover:

The Rise of Personalized Learning

LLMs in Educational Content Creation

Adaptive Learning Platforms Powered by LLMs

LLMs Enhancing Teacher-Student Interactions

LLMs and Lifelong Learning

Overcoming Barriers to Personalized Education with LLMs

Case Studies: Success Stories of LLMs in Education

The Future of LLMs in Education



Let’s get started…

Maximizing Learning & Development in 2024: The Transformative Role of LMS Technology

In the dynamic realm of Learning and Development (L&D), 2024 marks a significant milestone. The rapid advancement of Learning Management Systems (LMS) is revolutionizing the way organizations approach employee training and development. Embracing the latest LMS technologies is no longer a choice but a necessity for L&D success in this digital era.

The Evolution of LMS in 2024

The evolution of Learning Management Systems (LMS) marks a pivotal era in educational technology. This transformation is characterized by the integration of advanced artificial intelligence (AI) and machine learning algorithms, revolutionizing the way educational content is delivered and personalized for learners. These AI-driven systems have the capability to analyze individual learning patterns, preferences, and performance, enabling them to create highly tailored learning experiences. This personalization ensures that each learner receives content that is not only relevant to their needs but also presented in a manner that maximizes their engagement and retention.

Another significant advancement in LMS technology is the enhanced interactivity and user experience. LMS platforms have become more intuitive and user-friendly, offering seamless navigation and interactive elements that make learning more engaging. This user-centric design approach caters to a wide range of learning styles, making education more accessible and effective for diverse learner demographics.

Moreover, LMS platforms have expanded their functionalities to include more comprehensive assessment and feedback tools. These tools allow for real-time feedback and assessments, making the learning process more dynamic and responsive. Educators and trainers can now more effectively track progress, identify areas for improvement, and tailor their instruction to meet the specific needs of their learners.

A Full Guide to LMS Software Development in 2024

In the rapidly evolving educational landscape, Learning Management Systems (LMS) have emerged as pivotal tools for facilitating online learning and corporate training. The COVID-19 pandemic has significantly accelerated the adoption of online education, making LMS software more critical than ever before.

As we move into 2024, understanding the nuances of custom LMS software development becomes essential for educators, institutions, and businesses aiming to leverage this booming industry. This comprehensive guide aims to provide an in-depth look at LMS software development, including its benefits, key features, development process, and the importance of custom LMS software development.

Table of Contents

Understanding the 2024 Educational Landscape

The educational sector in 2024 continues to be shaped by the lasting impacts of the COVID-19 pandemic, with an increased demand for flexible, online learning solutions accessible from any device. Modern learners, from K-12 students to corporate employees, expect engaging and interactive content that can be accessed at their convenience.

The shift towards online education has highlighted the need for LMS platforms that are not only versatile but also tailored to meet the diverse needs of various educational and training environments. The move towards specialized LMS solutions, designed to address specific educational niches and corporate training requirements, underscores the significance of understanding customer pain points and developing solutions that cater to these unique needs​​.

Benefits of Implementing an LMS

An LMS offers a centralized platform that simplifies the creation, delivery, tracking, and management of educational content. Key benefits include:

  • Content Hosting and Distribution: Facilitates the upload and dissemination of lessons, assessments, and multimedia across various channels.
  • Student Tracking: Enables monitoring of individual student progress, time spent on courses, and assessment scores.
  • Communication Tools: Supports interaction through discussion forums, chats, and messaging.
  • Simplified Administration: Streamlines user management, enrollment processes, and compliance reporting.

These features underscore the LMS’s role in ensuring consistent content delivery, scaling educational efforts, and simplifying the administrative aspects of education and training programs.

Key Features of a Modern LMS

As the expectations of today’s learners evolve, LMS software needs to incorporate features that provide a stellar user experience, including:

  • Responsive Design: Ensures the LMS is accessible on any device, providing a mobile-friendly interface.
  • Personalization: Offers tailored content and learning experiences to each user, utilizing adaptive learning technologies.
  • Social Tools: Facilitates peer-to-peer learning through discussion forums and messaging.
  • Gamification: Incorporates game elements like points, badges, and leaderboards to make learning engaging.
  • Analytics: Provides dashboards with metrics on engagement and progress for both instructors and administrators.

These capabilities are crucial for developing an LMS that meets the modern learner’s needs, emphasizing the importance of a user-friendly, intuitive interface and comprehensive mobile access​.

L&D Trends 2024: 6 Big Problems You’ll Need To Solve

2024 could be a make or break year for learning and development (L&D) and people teams.‍

  • We’re keen to drive business impact but we’re not aligning with goals.
  • We’re concerned about budgets but don’t know our current spend.
  • AI still dominates conversations but needs to move beyond gimmicks.

Oh, and we’ve got tech stacks that limit learners, classic challenges like time or engagement, and a need for clearer career paths.

These 2024 L&D trends are all based on the latest reports and research.

And the steps outlined here will make sure you’re on the right side of all this over the next 12 months and beyond.

Free Guide: Download the 2024 L&D Trends Report

2024 Organizational Learning and Development Report

Discover the latest trends, challenges, and innovations shaping Learning and Development (L&D). The 2024 Organizational Learning and Development Report delves into the Learning and Development landscape, offering a clear snapshot of current trends, challenges, and future directions. Below is an overview of each key segment covered in the report, reflecting what has been observed and the critical metrics that define our industry’s landscape.

Navigating L&D Challenges:Our findings reveal a prominent challenge among professionals: ‘Limited Time’ is cited by 52% of non-L&D respondents as their primary barrier to effective learning. This reflects a broader industry need for flexible and time-efficient learning modalities, directly impacting how professionals engage with L&D activities.

Aligning Goals for Success:Strategic alignment emerges as a critical focus, with 49% of professionals recognizing the necessity of aligning L&D initiatives with business objectives. This segment provides an overview of how alignment is influencing organizational outcomes and shaping the future of L&D strategies.

Focusing on Essential Skills:The skills landscape is evolving, with Data Analysis (52%), Curriculum Development (40%), and Instructional Design (46%) identified as top priorities for the upcoming year. This data underscores a significant shift towards more data-driven and well-designed educational content within the L&D community.

The Rise of Tech-Driven Learning:Technological integration is on the rise, with 38% advocating for more tech-savvy L&D solutions. This part of the report outlines the increasing importance of digital tools in creating more engaging and impactful learning experiences.

Personalization Takes Center Stage:An overwhelming 80% of non-HR/L&D professionals express a desire for Personalized Learning Paths. This section explores the growing trend towards customization in learning, emphasizing the need for programs that cater to individual learning styles and career paths.

Each segment of the report offers a deep dive into the current state and emergent trends within the L&D sector, providing a comprehensive look at what’s driving change and how professionals can adapt to stay ahead. The Report is not just a reflection of where we are today but a guide to where we are headed.

By presenting an in-depth analysis alongside key metrics, the 2024 Organizational L&D Report serves as an essential resource for professionals seeking to navigate the complexities of modern Learning and Development. It is crafted to help you understand the nuances of the industry and equip you with the knowledge to make informed decisions that drive growth and innovation.

Download the Report

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