CC KAT 01 · Foster
Conceptual Change
What this KAT is for
Reach for this when students need to revise an intuitive but incorrect mental model — a story they tell themselves that feels obviously true from everyday experience, but is wrong when tested against the actual science, maths, or grammar. These models are sticky; students don’t drop them just because you teach the correct version. They need to actively confront the contradiction.
Familiar examples: heavier things fall faster than lighter things (Science); multiplication always makes numbers bigger (Math); plurals need apostrophes (English). Technology helps by representing the concept in ways a textbook can’t — simulation, animation, manipulable model — so students can predict, test, and see the gap.
MOE defintion:
Allow students to externalise their conceptual understanding, representing abstract concepts through various modes to help students identify critical features and patterns of the concept, make generalisations and refine their own understanding.
How to choose a tool for Conceptual Change
Not every tech tool does CC work. A simulation that just shows the correct answer immediately is doing Acquisition, not Conceptual Change. To shift a mental model, the tool needs to do at least one of these three things:
1 Signal 01 · See the invisible
Make the invisible visible
Stages of a butterfly’s life cycle compressed to seconds (P3 Cycles), particles in a melting ice cube (P4 Matter), the water cycle from cloud to river (P5 Water), stroke order inside a complex chinese character (P3/P4 华文), or equivalent fractions on a number line (P3/P4 Math). If the concept is abstract, slow, or hidden, the tool should reveal what’s happening inside.
2 Signal 02 · Predict, then test
Force a commitment moment
The student writes or selects what they think will happen, then sees what actually does. The gap between prediction and result is where the mental model breaks open.
3 Signal 03 · Manipulate & discover
Let students change variables
Drag, drop, rotate, slow down, speed up. When students do something to the model and see how it responds, they uncover the rule for themselves rather than being told it.
Tools by subject
Across all subjects:
Padlet Free — for collecting students' initial predictions before a lesson, so you can return to them at the end and ask: "What changed in your thinking?"
Mentimeter Free — quick live polling. Pose a misconception question, get the class's answer in real time, then teach.
SLS Native
SLS Authoring Copilot Interactive MOE— create simulations and interactives using SLS AI tool
SLS Authoring Copilot Image MOE- create image using SLS AI tool
SLS Interactive Thinking Tools (ITT) MOE— Compare-Contrast, Cause-Effect, Sequence, Hierarchy— let students externalise reasoning.
SLS Language Speech Evaluation MOE— available in four languages, auto-evaluate students' reading, highlights errors in pronuniciation
SLS Text to Speech function MOE- narrates text in SLS packages
SLS Free-Response with Predict-Then-Reveal MOE- — students commit to a prediction in writing before the answer is shown.
AI tools (P4-6)
Students must complete the SLS AIEd Literacy Module before engaging with any AI tool in the classroom.
MagicSchool AI — "Common Misconception" tool Free — generates likely student misconceptions for any topic, plus follow-up questions. Use for teacher planning, not student-facing.
Curipod Norms Free — AI-generated interactive lesson slides with predict-type prompts and word clouds — students reveal their prior thinking before the correct concept is introduced.
English Language:
Grammar Bytes! Free—classic site with interactive exercises that confront the common rule-misapplications (e.g. "every plural needs an apostrophe").
Chinese Language:
Stroke-order GIFs and 笔顺 demonstrators for Chinese character formation
eZhishi Norms Free — Chinese language platform with character-level support — tappable definitions and audio models help students confront their own reading misconceptions.
Natural Readers (Chinese voice)Free — students paste a character or phrase and hear the correct pronunciation — useful for tone and character-sound misconceptions.
Languages:
Microsoft Reading Coach / Immersive Reader VPN— free, in Microsoft 365/ Edge browser. Students record themselves reading, then hear the tone contour played back against the model. Cognitive conflict → conceptual change.
Mathematics:
Desmos Classroom Free — a library of pre-made, interactive Math lesson activities that students join with a class code (similar to how they join an SLS lesson or a Kahoot game). It's free for teachers.
GeoGebra Free —web-based. For geometry misconceptions (e.g. "a square isn't a rectangle") — students drag vertices and discover invariants.
NRICH Maths (Cambridge) Free —problems and interactives, many designed around classic primary misconceptions.
Science:
PhET Interactive Simulations Free —, MOE-permitted, widely used for Science and Math. Embeds directly into SLS.
Google Earth Free — "Why are the seasons different?" is much harder to hold a wrong model about when the student can rotate Earth in 3D and see the tilt for themselves.
Stellarium Web Free— planetarium in the browser. Same idea as Google Earth, for astronomy misconceptions.
Teachable Machine Free — students train a simple gesture, image, or sound recognition model — builds intuition about how AI classification actually works, replacing the misconception that AI is magic.
Lesson exemplars · Maris Stella teachers
Add your lesson — submit via Good Practices.
Design tips
Start with the misconception, not the tool. Name what students typically get wrong — only then choose the tool. A great tool for the wrong misconception is wasted time.
Don’t substitute. If a paper drawing would do the same job, the technology adds nothing for this KAT. Use it when the tech does something paper can’t.
Always pair the tool with a reflection step. The shift happens when a student articulates "I used to think X, now I think Y, because Z." Without that moment in writing or aloud, the simulation is entertainment.
Make wrongness safe. CC work depends on students being willing to commit to a prediction they’re not sure of. Norms matter as much as tools — celebrate revised thinking, not just right answers.
One concept at a time. A simulation with eight sliders teaches students how to play with sliders, not how the concept works. Pick the variable that matters and dim the rest.