Thinking strategies, new educational approaches and current research insights, compact for reflection.
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The quality of our decisions depends on the quality of our thinking. Thinkable gives children thinking tools for complex, interdisciplinary problems — building intellectual independence from an early age.
Read on Substack→Why a thin line can make difficult things feel possible. On the psychology of the progress bar and what it teaches us about learning motivation.
On the quiet joy of thinking, and the perils of turning learning into a game. Deep learning deserves more than a daily streak.
And it works. A few minutes on your phone, a cheerful ding, a dancing owl. How Duolingo creates daily habits through streaks and achievements.
Points, streaks, and rewards — do learners really need them? Our research shows: genuine understanding is its own reward. Learners prefer orientation over decoration.
What do bees, climate change, and outer space have in common with computer science? At first glance, very little — and that hints at one of the quiet problems in how we teach computing.
A study of 400+ students reveals: interest in CS doesn't decline during adolescence — it reorganizes. And older students show the largest positive shifts from well-designed interventions.
How do you build an AI tutor that actually helps learning? Our research shows: less power, more pedagogical control. A system that extends teachers rather than replacing them.
At THINKABLE we aim to create beautiful learning experiences for computer science. Beauty in education can inspire, engage, and transform the learning process.
What do bees, climate change, and outer space have in common with computer science? At Thinkable, we're proving that connecting CS with the real world makes it more engaging.
Data Science to save the bees — our first deployment in regular school teaching at St. Dominikus Gymnasium.
Report by J. Merkert, teacher at St. Dominikus Gymnasium in Karlsruhe, about STEM expeditions with KIT.