The rapid ascent of Artificial Intelligence (AI) has undeniably reshaped the landscape of workplace learning and development. While AI offers unprecedented opportunities for efficiency, a critical question remains: are organisations leveraging AI to genuinely enhance learning quality and foster deeper understanding, or merely accelerating the production of mediocre content? This was the central theme explored in a recent Open eLMS podcast discussion between host Emil Reisser-Weston and Demetris Tollis, a leading expert at the intersection of learning design, workplace learning, and AI.
Demetris Tollis, whose background spans philosophy, pedagogy, and computer science, brings a unique perspective to the conversation, advocating for AI as a tool to improve, not just accelerate, the learning experience. He champions a move beyond mass content creation towards designing challenging, critical-thinking-driven learning experiences that truly build capability and drive meaningful performance outcomes.
Here are the key takeaways from their insightful conversation:
- The Illusion of Wisdom: A significant concern is the "illusion" where learners and even instructional designers believe they are becoming wiser or more skilled simply by consuming AI-generated content or receiving AI-assisted answers, without genuine engagement or critical reflection.
- Productivity vs. Quality: The initial rush to adopt AI has often prioritised personal and organisational productivity (e.g., generating quizzes in hours instead of days) over the quality and pedagogical soundness of the learning experience.
- Mediocrity at Scale: Without proper guidance and a learner-centric approach, AI risks enabling organisations to produce vast amounts of "mediocre" e-learning content, leading to a "collective knowledge debt" and hindering critical thinking.
- AI for Deeper Engagement: The true power of AI lies in creating personalised, adaptive, and challenging learning experiences, such as AI-powered knowledge mentors, adaptive quizzes linked to competency frameworks, and Socratic coaching agents.
- The Human in the Loop: Instructional designers remain crucial, but their role is evolving. They must now design not just for learners, but also for the AI agents, setting proper prompts, context, and guardrails to ensure effective and ethical learning interactions.
- Future Innovations: Expect significant advancements in agent technology, improved avatars for real-time communication, and a convergence of AI with virtual and augmented reality to create truly immersive and personalised learning environments.
- Learner-Centred Design: The ultimate goal for EdTech must be to co-design solutions with educators and learners, ensuring that technology serves pedagogical principles rather than merely automating existing, often flawed, processes.
The Perils of Productivity: When AI Falls Short
Demetris Tollis highlighted that while AI's recent boom, particularly since 2023, has opened up enormous opportunities, it has also introduced risks. He observed a trend where instructional designers and trainers, attracted by the promise of enhanced personal productivity, began using AI to rapidly create content – quizzes, scenarios, lesson plans – in a fraction of the time. While efficiency is valuable, this often came at the cost of quality.
Emil Reisser-Weston and Demetris Tollis discussed the "illusion of wisdom," where individuals might mistakenly believe they are learning or becoming more knowledgeable simply by interacting with AI or consuming passively generated content. This over-reliance can lead to a "cognitive offload," where human abilities diminish due to excessive dependence on AI, raising concerns about the authenticity and depth of learning outcomes.
From Mass Content to Meaningful Engagement
The conversation pivoted to how EdTech can counteract the risk of "mediocrity at scale." Demetris Tollis argued that instead of focusing on simply producing more content, the emphasis should be on making learning more interesting, challenging, and personalised. He referenced Aristotle, suggesting that learning should not be easy; it requires pushing oneself to think, reflect, and find solutions.
Open eLMS shares this vision, understanding that true learning comes from active engagement, not passive consumption. This perspective drives the development of features that add friction to the learning process, making it more memorable and impactful.
The discussion explored several innovative applications of AI to achieve this:
- AI-Enhanced Existing Content: Rather than discarding existing learning materials, AI can enhance them. Imagine an e-learning package where an AI knowledge mentor, trained on the course content, can answer any learner's question in real-time.
- Adaptive and Personalised Quizzes: Moving beyond one-size-fits-all assessments, AI can power adaptive quizzes that feed questions based on an individual's competency framework. These quizzes adjust difficulty dynamically and continue until specific competencies are achieved, providing a far more accurate measure of skill development than a simple pass/fail score.
- Socratic Coaching Assistants: AI can facilitate open-ended coaching discussions and role-plays. For instance, a Socratic AI persona might respond to a learner's answer with another question, stimulating critical thinking and deeper reflection – a feature already available in Open eLMS. This approach provides qualitative, detailed feedback based on competencies and rubrics, allowing learners to refine their understanding and practice skills in realistic scenarios.
Personalisation at Scale: The Future of Corporate Training
Both Emil Reisser-Weston and Demetris Tollis agreed that AI holds immense potential for delivering personalised learning at scale, creating bespoke learning experiences for individuals or small groups. This moves beyond generic courses to training tailored to specific competencies, deficiencies, and even departmental needs.
For this to work effectively, an advanced learning management system (LMS) must integrate seamlessly with AI capabilities. Open eLMS, as an AI-powered LMS, is at the forefront of this, leveraging its robust personnel management and learning tracking features to inform AI-driven content generation. By understanding a learner's profile, past performance, and areas for improvement, the system can recommend and adapt learning pathways, ensuring that training is always relevant and impactful. This transforms the LMS from a mere content delivery platform into a smart coach and mentor.
The Indispensable Human Element
Despite the advancements in AI, the conversation strongly affirmed the vital role of human instructional designers. Demetris Tollis emphasised "human in the loop" – meaning human involvement is an integral, not optional, part of the process. The future of instructional design will require new skills: designers must learn to "train the agent," setting the correct prompting, context, and guardrails to ensure AI behaves as intended. Without this human oversight, there is a risk of unexpected or problematic outcomes.
Emil Reisser-Weston echoed this, highlighting that while AI can automate, true innovation requires rethinking paradigms rather than just automating old ones. EdTech companies must move beyond simply replicating existing course formats and instead explore how AI can enable entirely new, more effective learning experiences.
Looking Ahead: Innovations and the Learner-Centred Imperative
In the coming years, both experts anticipate significant advancements in agent technology – how AI systems collaborate and make meaningful decisions based on learner data and analytics. The goal is to offload heavy workloads to AI, freeing human educators to focus on more valuable interactions. Improved avatars and the convergence of AI with VR/AR are also expected to create more immersive and engaging learning environments.
Ultimately, the core message was clear: the EdTech industry must adopt a fundamentally learner-centred design approach. Technology companies should invest more in co-designing solutions with educators and learners, ensuring that AI serves to genuinely improve learning experiences rather than just being a "flashy" selling point. This commitment to pedagogical excellence, powered by innovative AI, is what will truly transform workplace learning.
Transform Your Organisation's Learning with Open eLMS
Are you ready to move beyond generic training and embrace truly personalised, engaging, and effective learning experiences? Open eLMS offers a comprehensive, one-supplier solution designed to meet the evolving demands of modern workplace learning.
Our Open eLMS LMS provides a robust platform for personnel management, live learning, skills monitoring, and advanced custom reporting with Power BI integration. Coupled with the Open eLMS Learning Generator, you can create custom, multimodal e-learning courses, videos, podcasts, and gamification in minutes using AI, tailored to your specific organisational needs and competency frameworks.
Discover how Open eLMS can help you leverage AI to build capability, drive performance, and achieve measurable ROI. Visit https://www.openelms.com to explore our solutions and start your journey towards a smarter, more effective learning strategy.