Collecting and analyzing training data. How far can you go?
The amount of data generated by learners during an e-learning course is immense. Who, what, where, how, when? What were their results at the end, etc.? We can know it all!
But what are we going to do with this data? How can we absorb it? How do we organize power between trainees, trainers, training centers and customers?
Transition support methods
4 approaches that help new behaviors to emerge in organizations or territories: Group Dynamics, Dynamic Spiral, Theory U, Process Work.
How does a 750 gram liter of gasoline emit 2.3 kilos of CO2?
You may have already been intrigued by the CO2 emission figures for car and air travel. Before your students start bugging you, here are some answers.
Exploring the effect and implications of generative AI in web content creation
Highlighting potential challenges related to the diversity and quality of datasets used to train AIs, highlighting the need to balance human and automated contributions to preserve innovation and diversity of ideas.
Improvisation: a part of preparation
Preparation is the key to success in any field, as it enables us to anticipate future actions. However, acquiring the skill of improvisation opens up more possibilities for action, whatever the situation.