Reply from a community member, 5 February 2025

Hi Tommy,

I understand this isn't directly related to the learner experience, but it would be beneficial if the Support Pages (e.g., 'Help') utilized AI to provide more relevant answers.

Additionally, I would love to see the AI assistant analyze graphs, images, and video content—not just audio in the video.

Regards

Steve

Reply from a community member, 10 February 2025

• What AI features do you think would make the biggest impact on employee learning? (e.g., personalized learning paths, AI-generated content, Meta data generation, content discovery, reporting, virtual coaching, automated skills assessments, etc.)

In its current iteration/state of development I am wary of falsehoods/truly "trusting" AI outputs, especially in the areas of AI-generated content, reporting, virtual coaching etc. Essentially any area where a hallucination or incorrect summarization/distillation of more complex material could have a knock-on effect/consequence. More generally, I am concerned by the continual offloading of knowledge/experience to these tools, especially in areas/situations where the end user does not have the subject knowledge and/or awareness/critical skills to effectively and robustly evaluate its output and align it to their specific context. However, as these tools develop I am very enthusiastic about its potential here.

In "future state", I am interested in the potential of AI for:

• "Hyper" personalisation:
  • Personalised learning analytics and content surfacing: supporting learners in identifying their individual strengths and opportunities for growth.
  • Personalisation and adaptation of learning content to suit individual learners: important for accessibility, but also enabling learners to engage with content to suit their situational requirements/environment. As an example, I develop an eLearning module, but a learner wants to listen to a podcast version while walking their dog. AI could repurpose my content into a format that more effectively suits the learner. From an accessibility perspective, AI could take on a lot of accessibility best practice (image descriptions, correctly formatting sections etc), but also adapt content to suit a learners needs from an accessibility perspective.
  • Personalised coaching while leveraging multiple roles to most effectively support a learner: the idea that an AI could simulate a learning role and engage with learners to best support them, ranging from a subject matter expert, student of "equal knowledge", or even a student of "less knowledge" who the learner has to explain/guide/teach the subject to.
• Holistic reporting:
  • More granular data on knowledge strengths/weaknesses across a cohort: "I've noticed that 80% of learners on this course struggle with X topic..."
  • Insights into L&D beyond just "LMS stats": i.e. leveraging data from multiple sources to gain greater understanding of "true" learning and the consequences of L&D activities that learners have engaged with. "By combining LMS data on X topic, and looking at data from our CMS/other platforms, I've noticed that..."
• Simulated/experiential learning: enhancing interactivity by providing simulated/experiential opportunities to learners beyond existing eLearning capabilities.
• Many other things, these are just the ones that came to mind!

• Are there specific challenges in training and development that AI could help solve?

As above! Especially:

• Personalisation and adaptive learning.
• Holistic reporting.
• Simulated/experiential learning.
• Content distillation/summarisation/adaption.
• Content discovery.

• What concerns do you have about AI in learning management?

• Proprietary data: providing access to confidential/sensitive/proprietary data to an AI tool that is not developed in house, and truly "trusting" the safety of that data. At the same time, I recognize that for the models to grow/improve, they need to be able to continually use and learn from new data.
• Hallucinations/falsehoods: as above.
• Knowledge offloading: as above, offloading knowledge/not requiring knowledge because AI has "got it", but then lacking the expertise/critical skills to ascertain the effectiveness of its output.
• More philosophically, if AI is trained on what has come before, and more people utilise AI to deliver results, what does that mean for creativity, innovation and new experiences? Will we end up in a continuous loop of "AI says this is the way to go because this is the way it has been done, so I'll do that"? I'm mindful of the balance between "this is a helpful tool" and "I will let this drive decisions/lead the way here".