AI Tutoring

🪂 #AITutoring airdrop is now open! Decentralized intelligent learning, not only learning, but also rewards. 🎁 Total prize pool: 100,000 USD equivalent tokens 👥 Limited to 100 users, each can get 100 USD tokens 📅 Event deadline: 48 hours before TGE 📤 Distribution time:…

Fatigue isn’t failure—it’s data. When focus drops or rereads increase, #AITutoring doesn’t penalize—it rebalances. Tasks shift, rhythm adjusts, and recall micro-tweaks kick in. All based on how you're actually learning, not how you're supposed to. #EdTech #AdaptiveAI

Mistakes are no longer obstacles—they're signals. In #AITutoring, each delay, retry, or skip adds to the user's behavioral signal layer. The system reads these traces not as faults, but as adaptation inputs. No red flags. Just recalibration. #AdaptiveLearning #CognitiveSignals

Effective immediately, Kalshi and xAI are partnering to bring Grok to prediction markets. Two of the fastest growing companies in America are now on the same team. @xAI 🤝 @Kalshi

AI × Education is no longer theoretical. It's becoming structural. From passive content delivery to intelligent learning agents, from test scores to behavioral graphs— what defines “progress” is changing. #AITutoring aligns with this shift. Not just riding the trend, but…

We are excited to partner with @HashEpoch_Media - a decentralized Web3 sports ecosystem to reinvent the way we play, compete and thrive across borders. Together we explore a shared vision: 📚 Learning through dynamic experiences 🏅 Creating value through fair and transparent…

you're lucky you even get to study

From passive dropout risk to dynamic path revision. Every retry, hesitation, or shift of focus becomes a signal—not a penalty. We translate those signals into micro-interventions and rebalanced routes, in real time. Learning shouldn’t punish deviation. It should listen and…

Some systems punish delay. Ours listens to attention. Instead of locking learners into rigid task sequences, we calibrate pacing dynamically— → Reading speed → Interaction intervals → Cognitive load patterns Currently in internal testing: adaptive rhythm, no penalty for…

Incentivizing learning is easy. What’s hard is doing it without loopholes. We designed a system where educational progress isn't self-reported—it’s independently validated. Completion events go through federated cross-verification, biometric checkpoints, and integrity…

System feedback loop is now running on actual input. Behavioral rhythm, content pacing, and modality choices are being processed in real time— Not assumptions, but actual traces. Adaptation is no longer static. It's continuous. Every interaction updates the model.

Learning doesn’t stop at the screen. We are working with @SecondLiveReal, the first AI-powered world modeling platform, to explore how immersive, self-evolving environments can enhance AI education. From on-chain learning to spatial understanding, we connect adaptive tutoring…

At the intersection of AI and on-chain education, #AITutoring is now partnering with @Trl_co — the first AI-powered RWA tokenized ecosystem, starting with Dubai Real Estate. Together, we will combine precision learning with precision valuation, extending the practical utility of…

@Trl_co partners with @AITutoring_! AI Tutoring builds decentralized learning with PoL, federated AI, and tokenized rewards—offering skill NFTs and APIs, perfect for enhancing tokenized real estate education. $TRLCO $TRLX

📊 Real-time competency graph isn’t just a visualization—it’s the engine behind individualized precision. As learners progress, AI Tutoring parses each interaction into structured graph nodes: mastered concepts, prerequisite gaps, next optimal moves. No guesswork—just…

We’re working with @colle_ai , a multichain AI NFT platform making digital creation radically accessible. Together, we're exploring how verified learning outcomes can be expressed, owned, and transferred — not just as data, but as modular, on-chain educational assets.

Knowing how someone prefers to learn is only the first step. What comes next is more complex: How preferences shift over time — and how systems re-route learning paths based on that evolution. That’s where we are now: Linking real-time feedback to long-term structure.

The current state of research on AI and education: Growing evidence that, when used as a tutor with instructor guidance, AI seems to have quite significant positive effects. When used alone to get help with homework, it can act as shortcut that hurts learning Still early days.