Educators today find themselves at the crossroads of a technological revolution. Artificial intelligence is rapidly making its way into classrooms, promising to save time and personalize learning. From AI tools that generate quiz questions on the fly to algorithms that auto-grade assignments, the education technology (EdTech) space is crowded with solutions focused on content generation and automation. These tools largely aim to streamline teaching tasks – helping teachers create materials faster or giving students instant practice and feedback. Yet amid this boom, a critical question arises: are we merely using AI to do more of the same in education, or can it truly transform the environment where students learn?
As Francis Vigeant, CEO of KnowAtom, warns, “In many of today’s edtech tools, AI is used to help teachers or students do more of the same – create faster, polish more, or inject more content and scripted Q&A… but more of the same simply produces more of the same outcomes”. In other words, if we use AI only to speed up or create more traditional tasks, we shouldn’t expect different results in student learning.
What if AI could play a different role – not as an answer machine or a grading gadget, but as a catalyst for deeper human-to-human connection in the classroom? Instead of replacing teachers or automating away rich classroom dialogue, could AI help students become better thinkers and communicators? This is exactly the avenue KnowAtom’s new product SocraCircle+ is exploring. As Vigeant puts it, SocraCircle+ “asks a different question: How can AI help students become more authentic, connected, and curious humans in conversation with one another? That’s where learning lives.”
SocraCircle+ distinguishes itself from the pack of AI EdTech tools by enriching critical thinking, authentic discourse, and human connection in real-time.
AI’s surge into education has largely been driven by tools that promise greater efficiency. For instance, generative AI can now assist in creating lesson plans, writing prompts, or multiple-choice quizzes in seconds. Other platforms leverage AI to provide auto-graded practice – think of adaptive homework systems or exam portals that instantly mark answers and even generate hints. It’s easy to see the appeal: overworked teachers get help with planning and grading, and students receive on-demand practice tailored to their level.
However, this wave of AI often focuses on replicating or accelerating existing classroom practices (worksheets, drills, Q&A exchanges) rather than reimagining them. In Vigeant’s words, these tools help educators and learners “do more of the same” faster. The risk is that speed can be mistaken for substance. If a student can ask an AI for an answer or complete a machine-graded quiz, they might be practicing recall or procedural skills – but are they engaging in the kind of thinking that leads to deep understanding?
Educators have reason to be cautious. As cognitive scientists remind us, knowledge is not the same as understanding. David Perkins of Harvard’s Project Zero famously wrote, “Learning is a consequence of thinking. Retention, understanding, and the active use of knowledge can be brought about only by learning experiences in which learners think about and think with what they are learning.” In short, true learning requires learners to actively process ideas, ask questions, and make connections – not simply consume content or feedback.
Many AI-driven tools emphasize content delivery (like an on-demand tutor giving answers), which might improve test prep or fact memorization, but they don’t necessarily cultivate critical thinking. Research in classroom discourse echoes this concern: when classroom interaction revolves around the teacher asking factual questions and students responding with brief answers, students remain passive. They may complete tasks correctly, but they miss out on authentic engagement with the material and with each other.
This is why a growing number of educators and researchers are calling for AI that goes beyond automation – tools that don’t just make teaching faster but make learning deeper. Instead of viewing AI as a shortcut to the right answer, what if we leverage it to spark deeper reflection, better questions, and dialogue? Imagine AI that encourages a student to explain their reasoning, or that helps a shy classmate pose a question they’re curious about. Such an AI wouldn’t replace the teacher or the student’s own thinking; it would amplify the intellectual curiosity in the room.
According to Francis Vigeant, the real promise of education AI lies in its ability to “support—not replace—teachers by deepening critical thinking and enriching classroom discourse”. Rather than automating the “delivery” of education, this approach uses AI to nurture the human elements of learning: curiosity, connection, and critical discussion which produce understanding.
Reimagining AI as a conversation catalyst aligns with age-old insights about how people learn best. Educational theorists from Socrates to Vygotsky have championed dialogue and social interaction as key to developing understanding. Modern research reinforces this: authentic discourse – where students exchange ideas, ask genuine questions, and build on each other’s thoughts – is strongly linked to deeper comprehension and critical thinking.
For example, studies by Martin Nystrand and others have found that classrooms featuring open-ended questions and student-to-student discussions see greater engagement and achievement than those dominated by lecture and recall questions. Simply put, when students talk to each other about content (instead of only listening to the teacher or a computer), they learn more. They learn to reason, to consider multiple perspectives, and to articulate their thoughts – all essential components of critical thinking. In many respects, talking with each other is an opportunity to play with ideas and construct meaning from those interactions.
Crucially, rich discourse also helps enculturate students into a community of thinkers. Ron Ritchhart of Project Zero describes classrooms as “cultures of thinking,” where the values and norms – such as valuing questions over quick answers – fundamentally shape students’ mindsets.
In a classroom culture focused on thinking, students feel safe to say “I don’t understand this, can you explain your idea?” and to build on each other’s contributions. Over time, this culture produces learners who are more independent and metacognitive. “As students get better at thinking and engaging in discourse with their peers, it provides the opportunity for teachers to step back and let them do the heavy lifting,” Vigeant notes in discussing the benefits of a thinking-centered classroom. When students take on that “heavy lifting” – explaining concepts to one another, debating interpretations, and collectively problem-solving – they are practicing critical thinking in action. They’re also learning an invaluable human skill: how to learn from and with others.
This is the human-to-human connection that can make learning powerful, and it’s exactly what KnowAtom set out to enhance with SocraCircle+. Rather than using AI to drill facts, SocraCircle+ uses AI to get students talking, reasoning, and connecting. Vigeant frames the design philosophy well: “At KnowAtom, we understand that learning is the result of interplay between culture, problems, questions, and ideas – and dialogue is the nexus where they meet.” In other words, real learning happens where minds meet – in discussion.
SocraCircle+’s innovation is using a custom AI to help orchestrate those mind-meeting moments more frequently and deeply in everyday classrooms. It’s an approach that treats student dialogue not as a luxury or tangent, but as the very heart of the learning process. And by doing so, it also aligns with principles of culturally responsive teaching: honoring each student’s voice, background knowledge, and even language.
When AI is used to include more students in the conversation (rather than tutoring each student in isolation), it can actually strengthen the classroom community. This focus on community and culture differentiates SocraCircle+ from typical “personalized learning” AI tools – here, personalization doesn’t mean learning alone, it means everyone has a meaningful role in a shared dialogue.
So what exactly is SocraCircle+, and how does it work? Launched in May 2025 as a first-of-its-kind group discussion AI tool, SocraCircle+ is designed to bring the proven benefits of Socratic seminars into any K–12 classroom at the touch of a button. In a Socratic seminar, students lead discussion by asking and answering questions of one another, with the teacher as a facilitator rather than a lecturer. SocraCircle+ preserves this student-centered spirit but adds a twist: a virtual AI-powered participant named SocraBot joins the discussion circle. SocraBot is not a traditional chatbot or an all-knowing tutor; it behaves like a curious, thoughtful classmate who participates in real time during class discussions.
Here’s how a typical SocraCircle+ session might unfold. A teacher launches a verbal Socratic discussion in a classroom and simultaneously provides space for students to extend their conversation in real-time on the SocraCircle+ platform, like the side-bar chat in a zoom meeting or webinar – this could be during a science lesson to debate a hypothesis, in an English class examining a theme in a novel, or even a cross-curricular conversation on a social-emotional learning topic. Students enter the discussion via their devices like Chromebooks or iPads, seeing an interface where they can post their ideas and respond to others. SocraBot also “logs in” as one of the participants.
As the conversation progresses, students drive the dialogue: they share thoughts, ask questions, agree or disagree with each other. SocraBot’s role is to actively listen to everything being said (yes, the AI is processing the live discussion) and contribute in ways that ** deepen the discourse** only when a student or teacher tags it in conversation, as if it’s another student in the class.
Importantly, SocraBot is not there to give away answers or dominate the conversation. In fact, it’s programmed not to provide direct answers to academic questions. Instead, SocraBot will do things like: ask a meaningful follow-up question when a student makes a comment, draw a connection between two students’ ideas that they might not have seen, or gently challenge a statement with a why/how prompt to encourage reasoning. It’s “just like a reflective peer would” offer in a thoughtful discussion.
SocraCircle+ encourages lively peer-to-peer dialogue by adding a virtual student into the mix. In a Socratic discussion facilitated by SocraCircle+, students engage with each other’s ideas while SocraBot models constructive habits of inquiry. The AI’s presence helps surface more student voices – asking questions, building on responses, and prompting clarification – which leads to a richer, more inclusive conversation. Technology becomes a bridge connecting learners’ thoughts, rather than a barrier or a mere delivery mechanism for content.
From the students’ perspective, SocraBot is like another classmate – one who is unfailingly polite, deeply curious, and very good at critical thinking moves. In fact, modeling those moves is a core function of the AI.
According to KnowAtom, SocraBot explicitly models how to:
These are exactly the skills teachers try to instill when training students in Socratic seminar protocols or academic discourse. SocraBot provides a live example in the moment – essentially a peer mentor in dialogic skills. If a discussion stalls because no student asks that next probing question, SocraBot can jump in to get the ball rolling again. If one student’s comment gets ignored, SocraBot might bring it back by connecting it to a later point in the conversation (“Earlier, Priya mentioned X, which seems related to what Juan is saying now…”). This encourages students to listen to each other more attentively and see the discussion as a collective effort, not just a series of one-on-one exchanges with the teacher.
One student who piloted SocraCircle+ described it as “it’s like talking to a new kid in the class, it really seems human” another commented, “I like the questions that it asks, they really made me think”. In a traditional class discussion, the pattern can be like ping-pong: teacher asks, student answers, teacher responds, another student answers the teacher, and so on. With SocraCircle+, the pattern shifts toward a more dynamic, student-to-student “basketball” game, where the conversational ball moves around the circle in unpredictable, exciting ways.
SocraCircle+ was built to be flexible across subjects and age levels. It supports live, student-centered discussion in any K–12 or even college-level subject – science, English Language Arts, social studies, math, you name it. After all, critical thinking and discourse are not confined to one discipline; the tool’s focus on reasoning and curiosity applies universally.
Teachers can use it to explore a scientific phenomenon (“Why do you think the ice is melting slower with salt added?”), interpret a piece of literature (“What might have motivated the protagonist’s decision in chapter 5?”), or discuss current events and ethical questions. In each case, SocraBot tailors its questions and prompts to the context of the discussion, thanks to the underlying language model that can parse and generate language on virtually any topic the students bring up.
Yet, importantly, SocraBot does not pull in outside facts or web info during the discussion. It isn’t a research engine feeding students additional content; as the KnowAtom team designed it, “SocraBot never provides links or external content”. This design choice keeps the focus on the ideas in the room (virtual or physical room) rather than letting the AI turn the discussion into a Google search. The goal is for students to grapple with their own and each other’s thoughts, occasionally sparked by SocraBot’s, rather than simply being handed answers.
Another standout feature of SocraCircle+ is its built-in multilingual support. Classrooms today are more linguistically diverse than ever, and a truly inclusive discussion tool must accommodate that. SocraCircle+ allows students to post contributions in their native language, which SocraBot will then respond to in that same language and also translate into English for everyone’s benefit.
For example, if a student is more comfortable expressing an idea in Spanish or Vietnamese, they can do so; SocraBot will reply in Spanish or Vietnamese to connect that student to the discussion in their own language, then provide an English translation so peers understand and can respond. This kind of feature embodies culturally responsive design – it values students’ linguistic identities and ensures that English language learners aren’t sidelined in deep discussions.
By “ensuring a voice for all students” regardless of language proficiency, the AI helps cultivate what KnowAtom calls “a more inclusive culture of thinking”. Everyone can participate authentically, which ultimately enriches the discourse with a wider range of perspectives. (One can imagine how a question like “Why do we have seasons?” might draw on different cultural references or examples if students feel free to share from their backgrounds.)
To keep the discussion environment safe and equitable, the platform also anonymizes student identities in the discussion interface. This means students see comments attributed to generic participants (or perhaps aliases), reducing the fear of judgment. A shy student might be more willing to voice an opinion knowing it won’t be immediately obvious who said it.
All these design choices – anonymity, multilingual support, real-time AI facilitation – serve a common goal: maximize meaningful student participation. When every student feels comfortable and encouraged to speak up, the conversation becomes more than just an academic exercise; it becomes an opportunity for each child to practice thinking out loud and learning from others.
What makes SocraCircle+ particularly intriguing from a technology standpoint is a custom large language model tailored for education. In the era of ChatGPT, many tools simply plug into a general AI model and call it a day.
KnowAtom took a more specialized route. They developed SocraCircle+’s AI using their own research and extensive classroom experience to fine-tune the model’s behavior. The result is an AI that behaves very differently from your typical “ChatGPT in a textbook” application. SocraBot isn’t interested in showing off what it knows; it’s focused on how it can help students think. This distinction is critical. Generic AI models are trained on vast internet text and will often default to giving informative answers or essays when asked a question. SocraBot, by contrast, has been trained (or instructed) to avoid simply giving answers. Its default is to ask, probe, and encourage reflection. In essence, the developers imbued it with a Socratic personality.
Building a custom model also means the AI could be aligned with culturally responsive and conceptually rich instruction from the ground up. Culturally responsive teaching (CRT) calls for educators to use students’ cultural experiences and identities as assets in learning. While an off-the-shelf AI might inadvertently carry biases or make assumptions that clash with CRT principles, a custom model allows for greater control.
The KnowAtom team, steeped in K–8 science education and inquiry-based pedagogy, could train SocraBot to handle classroom scenarios with sensitivity and an emphasis on inclusion. For instance, CRT emphasizes the importance of students seeing their own lives and cultures reflected in the learning process. SocraBot’s multilingual ability and focus on student voice directly support this – it recognizes that not all students express themselves in the same way or in the same language, yet every voice is valuable.
Moreover, by prioritizing questions and student ideas over just feeding information, SocraCircle+ aligns with the idea of conceptually rich instruction. Instead of drilling discrete facts, it encourages exploration of concepts from multiple angles (exactly what leads to conceptual understanding). The pedagogy behind it is “rooted in decades of cognitive science, educational research, and practical implementation,” not a Silicon Valley whim.
In fact, KnowAtom’s science curriculum has long been based on inquiry and student-driven learning, and their partner schools consistently rank among top performers on state assessments as a result. This educational pedigree fed directly into how SocraCircle+ was engineered.
It’s telling that the KnowAtom team describes SocraCircle+ as bringing “curiosity, connection, and cognitive rigor” to every subject area. Those three Cs are a great encapsulation of conceptually rich, culturally attuned teaching.
By building these values into the AI’s very purpose, SocraCircle+ avoids the pitfall of some AI tutors that, while personalized, might actually lower cognitive demand by spoon-feeding answers or over-scaffolding. Indeed, a caution from Project Zero’s Ron Ritchhart comes to mind: “When teachers focus on students getting the correct answers or completing the assignment correctly, there is a tendency to over-scaffold the task in such a way that it is stripped of learning”. The alternative, he notes, is to focus on students’ thinking – prompting them in ways that lead to independent success. SocraCircle+ embodies this alternative. Its prompts are not there to hand-hold students to a correct answer; they are there to push students’ thinking further so that students themselves reach deeper understanding.
Another advantage of the custom LLM approach is transparency and trustworthiness. In a classroom, a rogue or inaccurate AI response can derail learning or sow confusion. By customizing the model, KnowAtom can put guardrails to ensure SocraBot stays in its lane – prompting and reflecting, rather than factually explaining things it might get wrong. And because SocraBot isn’t scraping the live internet for answers, there’s no risk of it introducing inappropriate web content into a discussion. The AI’s knowledge is bounded and tuned to the curriculum context, with teachers providing the content framework for each discussion.
In essence, the AI is enculturated into the classroom environment, much like we enculturate students into a class’s norms. Just as students learn how to participate productively in discussions over time, SocraBot is trained to participate in alignment with productive discussion norms from the start. This concept of enculturation is central to cognitive science views on critical thinking: people learn to think critically by being part of a community that models and values critical thinking.
With SocraBot as part of the classroom community, consistently modeling inquisitiveness and respect, students get an additional model (besides the teacher and peers) of what it looks like to think out loud well.
“At KnowAtom, we believe questions are the key to learning. That’s why we built SocraCircle+,” the company states on its website. This philosophy underpinned the LLM’s development. It’s a refreshing angle in a tech landscape that often values answers more than questions. By customizing an AI to value questions – and to value students’ diverse contributions – KnowAtom is demonstrating how AI can be bent toward the goals of equity and deeper learning.
As the SocraCircle+ site boldly declares, “It’s not about replacing human interaction — it’s about amplifying and deepening it.” This single sentence sums up the ethos of their custom AI approach. Every design choice, from the model’s training to the user interface, circles back to enhancing human-to-human learning moments, not diminishing them.
One of the biggest fears educators voice about AI is that it could replace teachers or devalue their expertise. We’ve all seen the clickbait headlines about robo-tutors or AI instructors. KnowAtom’s stance – and SocraCircle+’s design – takes a firm stand against that notion. The goal of SocraCircle+ is to empower teachers and students, not to sideline them. “SocraCircle+ is designed to elevate student voice and reduce reliance on teacher-led prompts or curriculum scripting,” notes a KnowAtom press release from May 2025. That might sound at first like minimizing the teacher’s role, but in practice it’s freeing teachers to do what humans do best authentically work with others’ ideas. In a SocraCircle+ session, the teacher is still very much in control of the overall conversation flow and learning goals – the platform even emphasizes “Teacher-Guided, Student-Centered” as a core principle. The teacher sets up the discussion topic, observes student contributions, and can step in to guide or clarify as needed. What the teacher doesn’t have to do is micromanage every discussion turn or come up with every question. SocraBot helps shoulder that load by keeping the discussion moving in a productive direction.
Think of SocraCircle+ as giving the teacher a helpful assistant during one of the most challenging parts of teaching: facilitating a whole-class discussion where every student is engaged. Even skilled teachers know how difficult it is to get quiet students to speak up, or to respond to a comment with just the right question that will prompt deeper thought. SocraBot is essentially trained in those questioning techniques and will consistently deploy them. This allows the teacher to step back just enough to truly listen and watch the learning unfold, rather than constantly formulating the next question or trying to draw connections alone. As one KnowAtom article pointed out, when students are actively thinking and discussing, it “provides the opportunity for teachers to step back and let them do the heavy lifting”. In such moments, a teacher often gains precious insight – seeing misconceptions surface, noticing which ideas excite students, identifying who might need a nudge. By augmenting the teacher’s facilitation with AI, SocraCircle+ actually strengthens the teacher’s ability to understand and support each student. The teacher is no longer the bottleneck or sole driver of discourse; instead, the teacher becomes an orchestrator of a richer symphony of student voices.
Even with AI in the classroom, teachers remain irreplaceable as facilitators and guides. SocraCircle+ keeps discussions teacher-guided and student-centered – meaning the educator sets the stage and learning goals, while SocraBot supports the students’ dialogue. In this way, technology serves as a teaching assistant, not a substitute teacher. With AI handling routine prompts and modeling good questioning, teachers can focus on higher-level guidance: observing student thinking, providing encouragement, and connecting the dialogue back to curriculum objectives. The result is a classroom where the teacher’s expertise and the AI’s support together create deeper learning experiences.
Contrast this philosophy with other AI tools that aim to minimize teacher involvement – for example, auto-graded homework apps that students use independently, or AI-driven tutorial systems that a school might implement to offload certain lessons. Those can be useful in practice, but they inherently treat learning as a largely individual and teacher-less activity. SocraCircle+ takes the opposite approach: learning is social and relational, and the teacher’s role as a mentor and facilitator is crucial in that social learning process. By explicitly keeping teachers in the equation, SocraCircle+ addresses a major concern administrators might have about AI: Will this undermine our teachers? On the contrary, it’s designed to uplift effective teaching practices. Teachers remain the content experts and the arbiters of when and how to use the AI’s contributions. They can pause a discussion to highlight a great question SocraBot asked, or to let students engage as they naturally would. They can also decide when not to use SocraCircle+ – perhaps a teacher wants to first model Socratic discussion without AI, and then gradually introduce SocraBot as students get comfortable. The agency lies with educators, not with the tech.
Francis Vigeant has been vocal about this balance. In discussing AI’s role, he emphasizes that AI should support, not replace the teacher. The very design of SocraCircle+ embodies that mantra. By reducing the teacher’s burden of being the constant questioner or referee in discussions, the tool actually creates space for more teacher insight and creativity. Teachers can pay attention to nuances they might have missed if they were doing all the talking. For instance, while SocraBot handles a follow-up question, a teacher might notice a student’s nonverbal reaction and later address it (“I saw you were excited when that question came up – want to share why?”). In a sense, the AI helps with the mechanics of discussion (so no one has to worry about an overly awkward silence or an overlooked comment), while the teacher can focus on the dynamics of learning happening in real time.
It’s also worth noting that SocraCircle+ doesn’t diminish the need for teacher expertise – it elevates it. Only a skilled teacher can ensure the conversation meets learning goals. SocraBot might be able to ask, “Can you explain further?” or “Does anyone see it differently?” but it doesn’t decide what concept the class should discuss or how that ties into the next lesson – that’s the teacher’s domain. And because SocraCircle+ transcripts are saved (every session is recorded textually), teachers can review what students said and use that to inform their subsequent instruction. This reflective piece is huge: rather than relying on memory or quick notes, teachers get a full record of the dialogue, which they can analyze for assessment or planning. It’s an effortless way to track growth in thinking and conversation skills over time. Imagine being able to show a student how their answers in discussion became more elaborate from September to June, or using a transcript to pinpoint where a misconception cropped up. The AI thus becomes not just a facilitator in the moment, but a tool for teachers’ professional insight into student learning. In short, SocraCircle+ is positioned as an AI that amplifies great teaching – the kind of teaching that encourages critical thinking and collaboration – instead of trying to automate teaching itself.
KnowAtom’s approach with SocraCircle+ resonates with a broad swath of educational research and theory. It’s worth highlighting how this innovative tool is essentially a convergence of proven ideas, supercharged by AI:
Ultimately, what makes SocraCircle+ compelling is that it manages to be innovative yet familiar. Its moving toward leveraging more cutting-edge AI technology – a custom LLM capable of natural language dialogue – but applies it in a way that complements age-old teaching wisdom. In an interview about AI in education, Francis Vigeant mused about the potential for custom AI to transform K–12 instruction precisely by boosting practices we know are effective, like critical thinking and discourse, rather than by automating inputs and outputs. SocraCircle+ is the realization of that vision. It doesn’t present AI as a magic wand that makes learning effortless; it presents AI as a partner that makes the hard, meaningful work of learning a bit more active and attainable for all.
The launch of SocraCircle+ signals a shift in the AI-in-education narrative. It shows that innovation isn’t about AI doing more for students, but doing more with students. By focusing on human-to-human connection, KnowAtom’s SocraCircle+ breaks from the pack of AI tools that simply generate more content or automate rote tasks. Instead, it harnesses AI to amplify what great educators have always valued: curiosity, dialogue, reasoning, and the unique voices of students. The early results are promising – a classroom where AI is not the star of the show, but a powerful supporting actor that elevates the whole ensemble’s performance.
Of course, SocraCircle+ is just one piece of the puzzle in reimagining education with AI. But it offers an inspiring example of how a custom LLM, aligned tightly with educational research and teacher guidance, can avoid the pitfalls of tech fads and actually enrich the learning experience. It respects the irreplaceable role of teachers and the social nature of learning, while still embracing what AI does well (processing language quickly, prompting consistently, handling translations, etc.). In doing so, it points a way forward for EdTech: one where innovation and pedagogy advance hand in hand, rather than at cross purposes.
As educators and administrators consider integrating AI into their schools, the key takeaway from SocraCircle+ is the importance of asking why and to what end we use AI. Are we deploying it to save a few minutes on grading, or to spark a conversation that never would have happened otherwise? Are we using it to eliminate human interaction, or to deepen it? SocraCircle+ demonstrates that the latter is not only possible, but profoundly effective. When AI is guided by the goal of making students “more authentic, connected, and curious humans” as KnowAtom intends, technology transcends its tool status and becomes a partner in the mission of education.
In a world where information is cheap and automation is rampant, the true premium is on human thinking and connection. Classrooms are one of the last spaces where young people can slow down and wrestle with ideas face-to-face (and screen-to-screen) with others. By infusing that space with an AI like SocraBot – one that nudges but never overtakes – we can help ensure that the next generation doesn’t just learn facts faster, but learns to think deeper. That is innovation worth pursuing. And if SocraCircle+ is any indication, the future of AI in education might just look less like sci-fi robots lecturing kids, and more like kids and AIs sitting in a circle… asking big questions, together.