Ai generating content
AI in elearning: transforming content creation
Leveraging AI for efficient, high-quality, and personalised learning experiences.

5 ways to transform your content creation strategy with AI

In recent times, AI's pervasive influence is evident across various domains, including work and daily life. For those tasked with developing learning content, staying ahead of AI advancements is crucial. With over 25 years of expertise in digital learning, imc offers a snapshot of the current AI landscape and its transformative potential in content creation and strategy.

The perfect fit: AI and content creation

"AI and content creation are actually a really good fit," states Oliver Nussbaum, Managing Director at imc Learning. The rapid pace of AI development necessitates continuous learning to leverage these technologies effectively. Content creation spans text, videos, images, and interactive elements, making it ideal for AI application due to the sophisticated capabilities of large language models.

Ai generating content

Historical context and technological evolution

Reflecting on the evolution of content creation, Nussbaum recounts the journey from the VHS and CD-ROM era in the 90s, through the advent of rapid authoring tools post the dot-com and 2008 financial crises, to the rise of mobile learning and responsive design. By 2020, most elearning content was crafted by specialised instructional designers using advanced authoring tools.

User-generated content: adoption and challenges

The COVID-19 pandemic accelerated the adoption of user-generated content. As Nussbaum highlights, "We need more user-generated authoring." Platforms like imc Express now empower subject matter experts to create eLearning content, democratising the process and enhancing content volume and quality. This shift addresses the increasing demand for timely, relevant, and personalised learning materials.

 

In a recent event with over 200 participants, imc explored attitudes toward user-generated content. While 12% of respondents are already leveraging user-generated content, 38% are experimenting on a small scale. Concerns about content quality remain, but Nussbaum argues these dissipate with proper curation and support from learning specialists.

AI's accelerating impact on content strategies

AI is revolutionising elearning by transforming content strategies and offering numerous benefits:

  1. Maximising team performance
    AI can make teams more efficient by supporting and speeding up repetitive yet essential projects, such as designing and writing compliance and onboarding training. This accelerates production turnaround time, reduces stress levels, and allows teams to focus on more complex learning content.
  2. Reducing localisation costs and effort
    AI translation of content has been around for some time but is now available as a built-in function in some content creation tools. This eliminates the need for additional tools or agencies and allows for in-platform editing in one source file, reducing time and costs.
  3. Scaling learning programmes without increasing costs
    AI helps scale digital learning by enabling subject matter experts to create content. AI content authoring tools have evolved to the point where even non-learning experts can use them to create digital learning content from just a few keywords or local documentation on their subject matter.
  4. Optimising budgets
    AI automates and accelerates the production of repetitive content projects, allowing budgets to be allocated to more creative and strategic initiatives. By letting subject matter experts create content with AI and using AI for in-house translation, organisations can save costs and focus on impactful projects.
  5. Enhancing accessibility
    Accessible learning content is crucial, and AI addresses accessibility needs without additional time and costs. Automated subtitles and text-to-audio functions can now be seamlessly applied to learning content and media using various AI technologies.
Ai generating content

Practical implications and future directions

AI's role in elearning is not just theoretical. Practical applications demonstrate its potential to streamline content creation, enhance personalisation, and improve engagement. As technology continues to evolve, the integration of AI in eLearning will undoubtedly shape the future of education.

 

In summary, AI's impact on elearning content creation and strategy is profound, enabling more efficient, diverse, and high-quality learning experiences. As the field continues to grow, staying informed and adaptable will be key for educators and content creators alike. By leveraging AI, organisations can enhance their learning programmes, optimise budgets, and provide accessible, relevant, and personalised learning experiences to their audiences.

 

For more information and to explore AI-driven elearning tools, discover imc Express.