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S2. E10: Evolution of the Learning Ecosystem with Sae Schatz

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Conteúdo fornecido por Warfighter Digital. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Warfighter Digital ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

This week the Warfighter Podcast takes a small tangent - it’s not all running around with a dagger between our teeth. We are pleased to welcome Sae Schatz, who has an extremely diverse career so far, formerly serving as the Director of the Advanced Distributed Learning (ADL) Initiative, a published author and expert in learning sciences.

Before joining the civil service in 2015, Sae worked as an applied human–systems scientist, with an emphasis on human cognition and learning, instructional technologies, adaptive systems, human performance assessment, and modelling and simulation.

Whilst we’ve discussed platforms previously, this episode it’s all about the learning ecosystem - how we can start to develop it and foster improved collaboration across learning communities.

Sae offers a challenging vision for what might be possible, demonstrating a number of areas which are yet to be fully exploited across the learning community. Not just a theorist, she leaves us with some practical examples of how we start to develop this vision, with a discussion around the common challenges for organisations and how we need to think differently about how individuals learn most effectively.

Plenty of food for thought and some very relevant points for many of our listeners. Thanks for coming on the podcast Sae!

Hosts:


Guests:

Sae Schatz: https://www.linkedin.com/in/saeschatz


Links:


Episode Sponsor: Babcock International

Babcock has always operated hand in hand with our customers because their mission is our mission. Our people support the British Army by contributing to front-line support, delivering the capability they need, available to them wherever, whenever and however they need it. We ensure the British Army can focus on their missions safely by supporting their vehicles, both armoured and white fleet with skilled engineers and capability backed by long-term through-life engineering expertise.

We enable our defence and emergency services customers to do their job with our technical training programmes. We combine deep understanding and long-term commitment with constructive challenge. An embedded partner, focussed on outcomes. Globally, new defence and resilience equipment programmes and asset modernisation programmes are seeing a resurgence. Training personnel is a critical component to support these programmes.

Whether it’s applying engineering excellence or the latest technology, we combine our expertise with a practical mindset. Alongside our deep engineering experience, digital and data technologies will allow us to better understand, predict and enhance the performance of the assets we manage, make better engineering decisions to reduce risk and improve service delivery.

  continue reading

37 episódios

Artwork
iconCompartilhar
 
Manage episode 399910824 series 3404951
Conteúdo fornecido por Warfighter Digital. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Warfighter Digital ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

This week the Warfighter Podcast takes a small tangent - it’s not all running around with a dagger between our teeth. We are pleased to welcome Sae Schatz, who has an extremely diverse career so far, formerly serving as the Director of the Advanced Distributed Learning (ADL) Initiative, a published author and expert in learning sciences.

Before joining the civil service in 2015, Sae worked as an applied human–systems scientist, with an emphasis on human cognition and learning, instructional technologies, adaptive systems, human performance assessment, and modelling and simulation.

Whilst we’ve discussed platforms previously, this episode it’s all about the learning ecosystem - how we can start to develop it and foster improved collaboration across learning communities.

Sae offers a challenging vision for what might be possible, demonstrating a number of areas which are yet to be fully exploited across the learning community. Not just a theorist, she leaves us with some practical examples of how we start to develop this vision, with a discussion around the common challenges for organisations and how we need to think differently about how individuals learn most effectively.

Plenty of food for thought and some very relevant points for many of our listeners. Thanks for coming on the podcast Sae!

Hosts:


Guests:

Sae Schatz: https://www.linkedin.com/in/saeschatz


Links:


Episode Sponsor: Babcock International

Babcock has always operated hand in hand with our customers because their mission is our mission. Our people support the British Army by contributing to front-line support, delivering the capability they need, available to them wherever, whenever and however they need it. We ensure the British Army can focus on their missions safely by supporting their vehicles, both armoured and white fleet with skilled engineers and capability backed by long-term through-life engineering expertise.

We enable our defence and emergency services customers to do their job with our technical training programmes. We combine deep understanding and long-term commitment with constructive challenge. An embedded partner, focussed on outcomes. Globally, new defence and resilience equipment programmes and asset modernisation programmes are seeing a resurgence. Training personnel is a critical component to support these programmes.

Whether it’s applying engineering excellence or the latest technology, we combine our expertise with a practical mindset. Alongside our deep engineering experience, digital and data technologies will allow us to better understand, predict and enhance the performance of the assets we manage, make better engineering decisions to reduce risk and improve service delivery.

  continue reading

37 episódios

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