The vision for Learning Pool Labs 2019 was to solicit innovations that would help ‘Learning Pool Labs Save the World‘ and centred on 3 key themes:
How to Save Your Brain – Concepts that consider new interfaces between humans and computers. How might we apply them in the quest for returning instant knowledge?
How to Save L&D – Looking to improve business productivity in one of two broad categories; learning more efficiently (fewer hours for the same output) or value-added learning (improving the quality of products/services to drive a rising income).
How to Save the Workforce – Seeking to re-skill the workforce in a massively scalable manner. Ideas for training a million new learners in a range of future-proof skills.
Flo is Stream‘s personalized learning chatbot, linking learners to relevant content using natural language search and directing them to their assigned learning to help learning become part of the daily routine.
The proposal for Flo v2.0 builds on existing technology to extend performance support interactions to include a wider range of elearning activity. Continuing our efforts to ‘put learning into the workflow’, Flo v2.0 has been designed to display learning interactions within Flo’s chat window.
Through this, the completion of training has the potential to become more efficient. Imagine simply answering a mandatory question within your communications channel. Imagine facilitating spaced practice with any content. Then, combine this functionality with our Adapt Builder to mean anyone could quickly author this ‘bot’ facilitated questions and content.
The world is very different today to that of a year ago, and whilst the changes are hopefully only temporary, their legacy is likely to be much longer lived. But as we return to ‘normal’ what will the legacy of lockdown be? What have we learned and what will never quite return to the way it was?
This is what Learning Pool colleagues are being asked to consider for Learning Pool Labs 2020. How can we make what we do so good that it exceeds the expectations of the old ways? Not just looking to replace, but to innovate and improve. And in an increasingly virtual world, how can we achieve the following?
Learning Pool’s 2020 Learning Pool Labs winner, Natural Interaction Language Engine (NILE) uses speech to make learning more accessible in a number of ways, for example: for users with disabilities and dyslexia, for users who are learning on the go, for learning in the line of sight at the point of need, as well as for improving content discovery through search.
NILE utilizes existing speech-to-text and text-to-speech technologies to enable: platform navigation via voice speech; conversion for content question responses, reflections and comments; content dictation, video and audio transcription; deep search.
