Skip to main content

Building Shared Accountability into Learning Experiences


We all agree on the power of social learning. If teams are going to improve, they need to improve together.

Yet, we continually hear of three problems within online learning experiences.

1. Accountability: Learners struggle to complete learning/training modules. Why are people disengaged and dropping out?  

2. Implementation: There is a gap between training (learning) and action. How can I improve the ROI from our training efforts? Why is it that those who complete learning experiences struggle to take action and apply their learning?  

3. Community: Learning is usually set up as an isolating experience supplemented by Zoom or face-to-face meetings to try to share - which seldom provide the time and space to give a voice to each learner and provide deeper, more actionable sharing and feedback. How can I create experiences that help turn my teams into Communities of Practice where they interact, collaborate, and learn from each other?

These 3 problems are related. Take a look at what happens when we achieve one without the other two. 

(CLICK TO ENLARGE)

It's no mistake that the implementation gap sits between the other two. Learning should start from a place of relevance - what is the learner meant to do with the aquired knowledge and skills?  Unfortunately, many learning experiences start (and stop!) with the goal of measuring comprehension: "What does the learner know?" If that's our goal, then it's fairly easy to measure with a quiz. But the nature of the learning is passive;  The experience loses relevance to the learner and we see the inevitable "implementation gap" where skills are "taught" and "comprehended" but struggle to be applied effectively.

Coincidentally, that same starting point is the reason so many teams and organizations struggle with building a true learning community. If training is passive and focused on comprehension, there is little intrinsic desire to interact with my peers. I don't really care how someone else scored on a quiz or summarized their understanding. That's the reason why simply adding collaboration tools (group chats, Slack channels, Zoom meetings, etc.) doesn't get to the heart of an interactive learning community. These tools facilitate quick communication for logistics and quick questions, but they struggle to help really us to collaborate and brainstorm by sharing solutions and feedback.


What's needed are learning experiences that are less about information sharing and more about taking collaborative action by doing.
   


As international educational consultant (and Huddle Up Project Leader) Erma Anderson shared about her Huddle Up project, 

We couldn't agree more.

And one of the fundamental ways we do that is to structure our learning experiences with the end in mind - what is that we want learners to actually do? When we do that, we let them unleash their creativity as they apply their content and skills in action - and they can learn from each other's solutions as well. 

We hope you join us on our journey to transform the way that the teams, schools, and organizations collaborate and learn in order to bridge the implementation gap and build communities of action who can learn from each other. Learn more about the problem we aim to solve.




Want to learn more and set up your free demo for your organization? Visit Huddle Up and learn more.



Popular posts from this blog

The Evolution of Online Learning: Four Stages and What's Next?

(This 2022 post was modified in July 2023.) The pandemic has made everyone far more knowledgeable about online learning platforms than they were 24 months ago. We each know (and feel) the strengths and the limitations of more than a few platforms.  We each have a long and growing list of features we want to see in the next evolution of online learning.  So, it seems a rather good time to step back and explore the evolution of online learning - to see how far we've come, and where we might be heading. One of the best resources out there is a simple progression chart shared in this intriguing article by Tiago Forte. The Future of Education is Community: The Rise of Cohort-Based Courses The evolution of online learning: What's next? We love big-picture reflections like this. While we are all aware of the current disconnect that still exists between the reality of our online learning platforms and the skills and knowledge we want to transfer to learners, we can all agree that the e

When did collaboration and learning become separated?

I like to talk to people about what systems, structures, and platforms they use to help their teams collaborate, learn, and problem-solve.  It doesn't really matter if I'm talking with trainers, consultants, or educators. I usually hear something like this: "We have our (training) courses inside of  ( INSERT NAME OF LMS HERE) . And, then we collaborate every week on  ( INSERT ZOOM, SLACK, GOOGLE MEET, ETC) " When did we start thinking / saying this?  Was this a prevalent phrase pre-pandemic? I don't remember hearing it then. (Perhaps I wasn't listening.) It's certainly a common paradigm now. More importantly, what impact does its arrival have on the way we structure our team's environments? For starters, it brings up a few odd questions. Aren't we naturally better learners when we collaborate? Aren't we better collaborators when we're learning along the way? Don't we do one better when we incorporate the other? When we think of the syst

AI & Organizational Learning - a different approach

Consider this post an invitation to engage for every AI expert seeking to transform the way teams and organizations learn. We consider ourselves AI enthusiasts, but not experts - and we are in need of advice and support from those higher up the ladder. These days, organizational learning is a pretty dynamic space. Everyone's abuzz with AI - and for good reason. Every day, it's linking content and context in fantastic new ways. The content has always been there.  It's the context piece that makes AI so exciting - and also its biggest challenge. How can we get AI to become ever more intelligent about "our" context? How can AI help generate solutions and feedback that are contextualized to what "we" need?   To transform learning with AI, most people are seeking to answer the following question: How can we leverage AI to capture all the relevant data in our learning ecosystem?   We're asking a different question. How can we reimagine the learning ecosys