Founder of DOMS – a sector-leading learning experience design process, powered by learning science + AI.
Affiliated scholar at the University of Cambridge.
Thought-leader in the field of learning science, AI and education with 14K+ followers on LinkedIn.
Expert consultant and advisor to leading L&D teams, including GSK & Mercedes Benz.
Den 21 sep hittar du Dr Phillipa Hardman på Learning Conference-scenen där hon pratar om:
Unleashing the Power of AI in Learning & Development: A Roadmap
Part 1: The Status Quo
- Workplace training is more expensive to design & deliver than ever before, and the costs continue to rise.
- The demand for skills is rapidly changing, and the need for re-skilling, up-skilling and industry-relevant education has never been more urgent. According to the World Economic Forum, half of all employees will need re-skilling by 2025, while closing the global skills gap could add an estimated $11.5 trillion to global GDP by 2028.
- The traditional “PPT and talk” training approach has proved ineffective.
- The traditional “one size fits all” approach to training is no longer sufficient.
- Most “adaptive and personalised” online platforms have failed to meet their promise.
- Wicked L&D problems continue on the ground:
- Engaging and impacting the workforce.
- Assessing the needs of a diverse workforce.
- Mapping workforce needs to the best fit, highest-leverage learning interventions.
- Building and delivering interventions rapidly enough to meet needs and drive continuous employee growth.
- Measuring the effectiveness & RoI of learning interventions.
Part 2: The Cross Roads
We will explore my prediction that we are about to enter a new era of AI-powered workplace training. Adapting to this new era will create winners and losers.
- The losers:
- will ignore AI and cling to outdated modes & methods of training;
- will use AI to make us more efficient at building ineffective training, e.g. rapid content creation & automated quiz generation.
- The winners: will leverage the combined power of AI + learning science to create hyper-personalised learning experiences capable of developing and measuring changes to knowledge, skills & behaviours.
Part 3: The Vision
We will imagine a not too distant future and ask if and how AI can solve some of L&D’s most wicked problems, including:
- Mapping needs to best-fit learning interventions – aka the introduction of data + learning science in L&D.
- Measuring the effectiveness & RoI of learning programs – aka the introduction of data-driven analysis & learning design.
- Delivering continuous, hyper-personalised, hyper-supported learning experiences – aka an AI-coach for every employee.
- An AI-powered ecosystem of employee skills verification – aka a new way to think about employee growth, talent sourcing & recruitment.
Part 4: The Roadmap
- What is required in order not to fall behind? E.g. how to keep up to date with latest technologies; big questions for L&D strategies.
- Immediate term: how can we make use of AI today? Incl. case studies & impact stats from early adopters in L&D.
Missa inte chansen att lyssna på Dr Phillipa Hardman när hon är i Sverige! Boka din biljett nu på www.learningconference.se/anma…
Vi ses på Sergel Hub, Stockholm, den 20-21 september!
Learning Conference 2023 – den självklara mötesplatsen för livslångt lärande.