The Effects of Win/Loss States on Learning
The Effects of Win/Loss States on Learning
The Effects of Win/Loss States on Learning
January 14, 2022
By Mohsin Memon
Summary
He says: Finite games usually end with a victory or loss.
So how do you go about designing game ecosystems in which winning isn't the goal? When the goal is learning or just simply continuation of play.
I build games for learning in which learning must happen irrespective of a win/lose state for players.
There are a few things I've learnt over the years which have helped me to focus on the learning outcomes as opposed to winning and losing in a game ecosystem.
Why dampen the effects of win/lose states in learning games.
As I designed and ran learning games for various corporate teams across the world, I began to realize that when teams won the game, they would bask in their glory of how incredible they were.
Through the years as I ran tests with the three parameters, I learned that the cases in which the learners did not focus on winning/losing were the cases in which players took away the most learning from the game irrespective of whether they won or lost in the game.
Reference
Memon, M. (2022, January 14). The effects of win/loss states on learning - winning issue. Retrieved February 21, 2022, from https://ludogogy.co.uk/article/win-loss-states-and-their-effects-on-learning/