Dear CALMet Online participants,
Thanks for a wonderful experience. First of all, every team and individual that contributed to a Learning Activity is a winner because they challenge themselves to design an active approach to learning. We should all give a round of applause to Teams Cumulus, Altocumulus, Stratocumulus, Cumulonimbus, and Cirrrus. The official winners will be given below . . .
Secondly, this game was not just a game, but an opportunity to test out designing learning activities of various types. Even if you did not play, and especially if you did, we are making some resources available that might be of interest. Just see the section on the CALMet Online site: https://classroom.eumetsat.int/course/view.php?id=226§ion=2 and look beneath the section called "Resources on Learning Activities and Games for Learning."
Thirdly, we hope that you might take a few moments to complete a short evaluation about your experience with the game. We may use modified versions of Learnopoly in future conferences outside of CALMet, so your input will be valuable. The evaluation link is: http://bit.ly/learnopolyonline
Fourthly, oh yes, the winners. :)
Due to the fact that the number of ratings varied so much between the submitted Learning Activites (from 3 to 11), we are using the average ratings rather than totals. However, you will see that the results were too close for this kind of game for ratings to be the only factor. So following that, Maja and Patrick made their final selections of the winners based on their judgement of how well the submitted Learning Activity addressed the criteria represented in the Topic choice, the Learning Solution, and the description of the Learning Activity Type. So, the average rating is not the only criteria for winning. The winners are presented at bottom.
After averaging all the ratings, here are the top 6 rated Learning Activites. (Team name/Learning Activity number/Team primary authors and then the criteria) = Average rating
1. Team Cumulonimbus/3/Roro (Lab Ex/Classroom/Climate) = 2.75
2. Team Cumulonimbus/2a/Lara (Collaborative/Asynch/
3. Team Stratocumulus/2b/Vesa (Socratic/Asynch/Marine) = 2.62
4. Team Stratocumulus/2a/KathyAnn (Socratic/Asynch/Marine) = 2.5
5. Team Cumulonimbus/2b/Roro/Bruce (Collaborative/Ansynch/
6. Team Cumulonimbus/1/Larissa (Simulation/Classroom/
After further deliberation, the winners are, in order:
1. Team Cumulonimbus/3 (Roro) Lab Ex/Classroom/Climate = 2.75
This is an excellent example of the problem approach, teaching learners a contributing skill for climate forecasts—identifying the forecast differences produced when different sources of data have been the primary source.
6. Team Cumulonimbus/1 (Larissa) Simulation/Classroom/Satellite = 2.40
Uses an excellent role play set up and addresses a key satellite data challenge involving professionals from 2 disciplines.
3. Team Stratocumulus/2a (Vesa) Socratic/Asynch/Marine = 2.62
Excellent description of how a Socrates-type teacher can help learners come to good conclusions, and learn a good analysis process, by asking the right questions.
5. Team Cumulonimbus/2b (Roro/Bruce) Collaborative/Ansynch/
The Learning Activity is bigger than a single learning activity, and presents a larger training programme. But Part 2 has the collaborative activity at its heart. Impressive comprehensive approach, including assessment.
2. Team Cumulonimbus/2a (Lara) Collaborative/Asynch/Observers = 2.75
Excellent design for either student or professional development, but we felt the collaborative aspects were not fully developed.
4. Team Stratocumulus/2b (KathyAnn) Socratic/Asynch/Marine = 2.5
A very nice exercise on Marine forecasting, with most of the resources required included! But we felt the Socratic aspects were not fully described.
So, in terms of winning teams, the answer is clear. Cumulonimbus is the champion, followed by Stratocumulus.
You can find all the winning Learning Activities attached, for your convenience. Take the time to read them and you will see why these people deserve applause. Thanks for playing!
Maja and Patrick
