Across workplaces, staff are already using AI tools to write emails, summarise meetings, generate reports and answer questions. But inside learning and development teams, a bigger question is emerging:

What happens when AI is used not just to consume information, but to create and share knowledge across an organisation?

That was the focus of a recent webinar hosted by Totara where speakers explored how AI functionality inside the platform could help organisations move beyond traditional top-down learning models.

The message was clear: the future of workplace learning may depend less on creating more courses, and more on unlocking the expertise that already exists inside businesses.

The bottleneck facing learning teams

For years, most workplace learning has followed the same pattern.

A central L&D team creates courses. Staff complete them. Updates are requested. Compliance changes arrive. New training needs appear. The cycle repeats.

The problem is scale.

Many learning teams are small, stretched and constantly reacting to new demands. Valuable expertise often sits elsewhere across the organisation – with engineers, managers, sales teams, healthcare professionals or frontline staff – but turning that knowledge into structured learning has traditionally taken time.

As one speaker explained during the session:

“We don’t really have a knowledge problem. We have a capture and sharing problem.”

That challenge has become even more visible as organisations move faster and information changes more frequently.

Instead of waiting for formal training, employees often turn to colleagues directly through messaging platforms, informal chats or shared documents. While effective in the short term, this creates new pressures on experienced staff and makes knowledge difficult to scale consistently.

AI as a “co-pilot”, not a replacement

One of the strongest themes throughout the webinar was that AI is not being positioned as a replacement for learning teams.

Instead, the technology is being presented as a support tool – helping subject matter experts contribute knowledge more quickly and confidently.

Inside the Totara Learn LMS, AI tools can assist users in generating draft content, summarising long passages, creating knowledge checks and even producing supporting imagery.

The idea is simple.

Someone with expertise may not have the time, confidence or writing ability to build polished learning materials from scratch. AI can reduce that friction by turning a blank page into a starting point within seconds.

Rather than expecting L&D teams to create everything themselves, organisations can begin enabling contribution at scale.

Turning learners into creators

The webinar repeatedly returned to a broader shift in mindset.

Traditionally, learners consume content.

But AI opens the possibility for learners to become contributors as well.

That could mean:

• Sharing practical insights
• Creating quick resources
• Building draft learning materials
• Improving existing content
• Generating summaries or quizzes

In practice, this changes the role of the learning team.

Instead of acting solely as content creators, L&D professionals increasingly become facilitators, reviewers and quality managers – helping shape and govern learning created across the organisation.

The speakers argued that this approach could lead to faster knowledge sharing and more relevant learning experiences because the information comes directly from people applying it in real-world situations.

Faster content creation

One demonstration during the webinar showed how AI tools inside Totara can generate draft learning content from short prompts.

Users can ask the platform to create introductory material, expand ideas, summarise text or rewrite sections in different styles.

The aim is not necessarily to publish AI-generated text untouched.

Instead, the generated content acts as a first draft – something experts can refine, improve and personalise.

For many organisations, that could significantly reduce the time required to create or update learning resources.

This becomes particularly important in areas such as:

• Compliance training
• Policy updates
• Product knowledge
• Operational procedures
• Healthcare guidance
• Technical documentation

Where information changes regularly, speed matters.

Knowledge checks and engagement

Another feature highlighted was AI-assisted “knowledge checks”.

Users can upload documents or text-based resources, and the platform can automatically generate quizzes or understanding checks based on the material.

The purpose is less about formal assessment and more about reinforcing learning and encouraging engagement.

It also provides organisations with a lightweight way of confirming whether employees have interacted with key information – something increasingly important in regulated industries.

A wider change in workplace learning

Perhaps the most significant takeaway from the session was not the technology itself, but what it represents.

For years, organisations have struggled to scale internal knowledge effectively.

AI may finally offer a practical way to lower the barrier between expertise and learning.

If implemented carefully, that could help businesses:

• Share knowledge faster
• Reduce pressure on L&D teams
• Capture expertise before it is lost
• Encourage collaborative learning
• Keep training more up to date
• Increase learner engagement

There are still questions around governance, quality control, privacy and accuracy. Even the webinar speakers stressed the importance of human oversight.

But the direction of travel is becoming increasingly clear.

The organisations that succeed with AI learning tools may not simply be the ones creating more content.

They may be the ones that make it easiest for people to share what they already know.

Want to leverage AI for workplace learning? Contact us at Webanywhere for an informal discussion about your needs and goals.

The post How AI is Changing Workplace Learning on Totara appeared first on Webanywhere.

In 2026, artificial intelligence is no longer a future concept. It is embedded in everyday life, shaping how we learn, work, and interact with the world.

Yet while AI adoption has accelerated, understanding has not kept pace. A significant gap exists between using AI tools and truly understanding the principles, ethics, and implications behind them.

Forward-thinking organisations recognise that closing this gap is not just an educational challenge. It is a strategic responsibility.

This initiative addresses that challenge directly, equipping the next generation with the knowledge and critical thinking skills required to engage with AI responsibly, ethically, and confidently.

The Challenge: From AI Usage to AI Understanding

Across schools and learning environments, AI is increasingly visible but rarely explained in depth. Young learners are interacting with intelligent systems without the frameworks needed to question, interpret, or evaluate them.

Without early intervention:

• AI becomes a “black box” rather than a tool to be understood
• Ethical considerations are overlooked or misunderstood
• Critical thinking skills are underdeveloped in relation to emerging technologies

To build a future workforce that can use AI responsibly, education must evolve now.

The Initiative

This project bridges the gap between advanced academic research and real-world classroom delivery.

It is a university research-led initiative designed to future-proof AI literacy for primary-age learners, combining rigorous research with engaging, accessible learning experiences.

The focus is on active learning, ensuring that children do not just consume information, but interact with concepts, question outcomes, and develop their own understanding of how AI works and why it matters.

The Three Pillars of the Project

1. Research-Backed Frameworks

At the core of the initiative is a robust academic foundation.

Developed in collaboration with a leading UK university known for its excellence in computing, data science, and human-centred technology research, the programme is grounded in:

• Proven pedagogical methodologies
• Ethical neutrality and balanced perspectives
• Current research into AI systems and societal impact

This ensures that learning is not only engaging, but accurate, credible, and future-facing.

2. Scalable Classroom Delivery

Translating complex AI concepts into formats suitable for young learners is a critical challenge.

This initiative solves that through:

• Interactive, scenario-based learning experiences
• Age-appropriate storytelling and simulations
• Digital-first delivery designed for modern classrooms

The result is a scalable model that can be deployed across schools, regions, and education systems without compromising quality or consistency.

3. Verifiable Impact

Unlike many education initiatives that rely on anecdotal success, this project is built around measurable outcomes.

Sponsors and stakeholders benefit from:

• Quantifiable improvements in ethical literacy
• Data-driven insights into learner engagement and comprehension
• Clear evidence of behavioural and cognitive development

This focus on impact ensures accountability and supports continuous improvement.

Academic Excellence Behind the Initiative

The university partner behind this project is recognised as one of the UK’s leading institutions, with a strong reputation for innovation in technology and interdisciplinary research.

Its credentials include:

• International recognition for computing and data science programmes
• Pioneering research in artificial intelligence, ethics, and digital society
• A track record of translating academic insight into real-world applications
• Strong links with industry, ensuring relevance beyond academia

This combination of academic rigour and practical relevance provides a powerful foundation for the initiative, ensuring that learners benefit from insights at the forefront of technological advancement.

Why Partner with Webanywhere

As a leading provider of digital learning solutions, Webanywhere plays a critical role in transforming research into impactful learning experiences.

Expertise in Digital Learning Innovation

Webanywhere brings deep expertise in:

• Learning management systems, including Totara Learn
• Scalable eLearning delivery across sectors
• User-centred design for engaging, accessible learning

This ensures that complex ideas are delivered in ways that resonate with modern learners.

Bridging Research and Real-World Application

Where academic institutions generate insight, Webanywhere ensures it can be applied at scale.

Their role includes:

• Designing interactive learning experiences based on research frameworks
• Ensuring usability and accessibility for diverse learner groups
• Supporting deployment across educational environments

This bridge between theory and practice is essential for meaningful impact.

Proven Track Record with Large-Scale Learning Initiatives

Webanywhere has delivered learning solutions for global organisations, educational institutions, and public sector bodies.

Their experience includes:

• Managing large user populations across multiple regions
• Delivering measurable learning outcomes
• Supporting long-term digital transformation strategies

This makes us an ideal partner for initiatives that require both innovation and reliability.

A Collaborative Vision for the Future

This initiative represents more than a single project. It is a model for how academia, technology providers, and forward-thinking organisations can work together to shape the future of education.

By combining:

• Academic excellence
• Innovative learning design
• Scalable technology

it creates a pathway for embedding AI literacy at the earliest stages of learning.

Get Involved

Organisations that lead in AI have an opportunity to shape how it is understood by the next generation.

By supporting initiatives like this, you can:

• Contribute to responsible AI adoption
• Support measurable improvements in education
• Align your organisation with innovation and ethical leadership

To explore partnership opportunities or learn more about how this initiative can be delivered at scale, contact Webanywhere today.

The post Shaping the Future of AI Literacy in Education appeared first on Webanywhere.