Discover how we help students think deeper, question better, and grow into critical thinkers
Cogito Coach is an AI-powered platform with two learning modules—built on cognitive science research.
🔍 Curiosity Coach teaches students to ask brilliant questions. They explore any topic and learn to ask deeper, more analytical questions. Each session ends with a Curiosity Report showing their thinking level, star question, and what to try next—then they come back and grow further.
🕵️ Claim Analysis Coach teaches critical thinking. Students investigate claims (ads, social media, news) and learn to check sources, evaluate evidence, and spot persuasion techniques. Each session builds sharper detection skills—the more they practice, the harder they are to fool.
Curiosity Coach: Students pick a topic, then have a guided conversation with an AI coach. The coach encourages deeper questioning rather than just providing answers. After 10+ questions, they get their Curiosity Report.
Claim Analysis Coach: Students choose a claim to investigate (or paste one they found). The AI guides them through checking the source, evaluating evidence, spotting logical fallacies, and identifying persuasion techniques. After thorough investigation, they get their Analysis Report.
Students (K-12): Build lifelong questioning and critical thinking skills while exploring topics you're curious about.
Teachers: Assign sessions to students, track class-wide progress, identify who needs support, and see thinking level trends over time.
Parents: Develop your child's inquiry skills at home. You receive copies of their reports and can try sessions yourself.
Curiosity Report reveals: a Curiosity Score (1-10), the student's thinking level (from "Fact Finder" to "Inventor"), their star question with analysis of why it was strong, identified strengths like "higher-order thinking" or "evidence-seeking," and specific next steps.
Analysis Report reveals: an Investigation Score (1-10), which dimensions they covered (source, evidence, reasoning, context, verification), any persuasion techniques they spotted with explanations, and tips for becoming sharper at detecting manipulation.
Both reports are designed to show growth over time—not just a single snapshot.
Claim Analysis Coach covers 29 techniques across four categories:
Logic Tricks: bandwagon, false dilemma, ad hominem, slippery slope, straw man
Source Issues: hidden ads, fake experts, conflicts of interest, anonymous sources
Evidence Problems: anecdotes vs data, small samples, cherry-picked stats, correlation vs causation
Fact vs Opinion: disguised opinions, emotional appeals, loaded language, fear tactics
Bloom's Taxonomy is a framework for categorizing thinking into six levels: Remember, Understand, Apply, Analyze, Evaluate, and Create. Unlike typical tools that only score with Bloom's, we use it to guide students in the moment—helping them progress to higher-order thinking. Learn how we use it differently →
Yes! We offer a free trial—complete full sessions and receive real reports. No credit card required. Teachers can sign up multiple students at once.
Coaching Mode: Most supportive—the AI names question patterns and suggests directions.
Hint Mode: Balanced—subtle nudges without explicit teaching.
Test Mode: Independent—just answers, no scaffolding.
All modes use research-backed cognitive rhythm to prevent overload.
Duration: 10-20 minutes typically. No strict time limit—explore as long as you want.
Topics: Anything! Science, history, current events, art, technology, sports, philosophy... Teachers can also assign curriculum-specific topics.
Yes. We comply with COPPA and FERPA regulations. Student data is encrypted, never sold, and parents/teachers can request deletion at any time. See our Privacy Policy for details.
Students rarely learn to ask questions—they learn to answer them. Yet research shows that the quality of a student's questions predicts deeper understanding, better retention, and the ability to apply knowledge. We designed Curiosity Coach to teach questioning as a skill, drawing on cognitive science research.
The research: Psychologist Deanna Kuhn's work shows that critical thinking develops through practice—through structured dialogue—not through lectures about thinking. Matthew Lipman's Philosophy for Children demonstrated similar findings: students who regularly engage in guided inquiry develop stronger reasoning than those taught reasoning rules directly (Kuhn, 2005; Lipman, 2003).
Our design decision: Curiosity Coach never explains "how to ask good questions." Instead, the system creates conditions for students to discover effective questioning through their own inquiry. When we do offer guidance, it's in-the-moment and specific: "That was a mechanism question—you asked HOW, not just WHAT." This names a pattern the student just used, making implicit thinking explicit.
Why it matters: Direct instruction about questioning ("always ask why") produces shallow compliance. Students learn the words but not the thinking. By naming moves after a student makes them, we help them recognize what they're already capable of—and repeat it intentionally.
The research: Bloom's taxonomy (Remember → Understand → Apply → Analyze → Evaluate → Create) maps increasingly sophisticated cognitive operations. Higher-level questions require deeper processing and produce more durable learning (Bloom, 1956).
Our design decision: We don't just score questions by Bloom level—we use the taxonomy formatively to guide students toward their next level. When a student asks "what happens," we might prompt: "Now try: why does it happen that way?" We also recognize that expert inquiry cycles between levels. A student who asks a creative question, then drops to a factual question, may be grounding their idea—not regressing.
Why it matters: Many educational tools use Bloom's as an assessment rubric. We use it as a coaching compass. The difference: assessment tells students where they are; formative guidance shows them where to go next.
The research: Cognitive scientist Daniel Willingham's work demonstrates that thinking skills don't automatically transfer across domains. A student who learns to ask "how does this mechanism work?" about rockets won't spontaneously apply that pattern to history or relationships—unless the transfer is made explicit (Willingham, 2007).
Our design decision: Once per session, after a particularly strong question, we add a brief "transfer tag": "That mechanism question works anywhere—science, history, even friendships." In parent reports, we show the same question pattern applied to three different domains. We time this carefully—only after genuine high-quality questions, so it feels earned rather than formulaic.
Why it matters: Without explicit transfer bridging, students develop "islands" of skill that don't connect. A single sentence at the right moment can transform a domain-specific success into a portable thinking tool.
The research: The Delphi Report on critical thinking identified metacognition—thinking about one's own thinking—as the highest-leverage skill. Students who notice patterns in their own questioning improve faster than those who don't (Facione, 1990).
Our design decision: When a student shows metacognitive awareness ("Wait, I keep asking the same type of question..."), we override our normal response structure. We stop, name what happened ("You just caught yourself thinking about your thinking—that's metacognition"), and amplify its significance before continuing. These moments are rare; we never let them pass unmarked.
Why it matters: Metacognitive moments are fragile. If the system responds with a standard answer, the student learns that self-reflection doesn't matter. By explicitly prioritizing these moments, we signal that noticing your own thinking is the most valuable thing you can do.
The research: Learning science shows that constant correction creates cognitive overload and disengagement. Students need space to practice without feedback on every attempt.
Our design decision: We alternate between teaching and non-teaching responses. One response might name their question type or offer a new stem; the next simply answers and sparks curiosity. This rhythm is deliberate—without it, guidance becomes nagging. With it, students stay engaged while still receiving regular coaching.
Why it matters: The instinct is to help more by teaching more. But over-scaffolding produces dependency, not skill. Alternation creates breathing room while maintaining enough structure for growth.
The research: Curiosity is driven by "information gaps"—when something is incomplete or surprising, we're motivated to resolve it. Complete answers close inquiry; incomplete answers fuel it.
Our design decision: Every response ends with a "spark"—a deliberately incomplete thought using specific patterns: contrast ("Weirdly, the opposite is true for..."), exception ("Some species actually..."), mystery ("Scientists still don't know why..."), or unexpected connection ("Submarines solved this the same way whales do..."). These aren't random interesting facts—they're engineered to create the specific gap that pulls a next question.
Why it matters: If we answered questions completely, students would have nothing left to ask. The art is giving enough to satisfy while leaving enough open to spark the next inquiry.
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