Futureduck’s Que:learn: An AI Studying Studying Software That Promotes Pondering

Many AI-powered training instruments right this moment can generate solutions in seconds, however do they assist college students suppose (Trace: no)? Futureduck, a rising EdTech startup from South Korea, believes AI ought to do extra than simply reply. Its newest product, Que:learn, is a brand new sort of AI studying assistant constructed to spark curiosity and deepen pupil pondering by means of guided dialog, not shortcuts. Beforehand, the corporate had success with Quewrite a personalized that teaches… writing.

In lots of lecture rooms, academics wish to assist each pupil interact thoughtfully with studying supplies, however time is commonly restricted. Monitoring particular person comprehension could be tough, particularly as class sizes enhance. Conventional studying instruction usually focuses on checking off right solutions, leaving little room for reflection, dialogue, or nuanced suggestions.

The Answer: A Conversational AI That Asks, Not Solutions

Futureduck CEO Pleasure Kibbeum Na

Que:learn takes a unique method. As a substitute of giving college students the solutions, it asks them questions, and the correct. As college students learn, the AI provides prompts earlier than, throughout, and after studying to make sure understanding and encourage deeper engagement. These embody questions in regards to the which means of key concepts, whether or not the scholar can clarify or defend an opinion, or how they’d reply to opposing views.

The platform is powered by an AI system designed to spur advantages just like one-on-one tutoring. It adjusts its inquiries to the scholar’s degree and responses, serving to construct not solely literacy but additionally reasoning and self-expression. And since it really works by means of dialog, it encourages college students to suppose out loud, quite than simply choosing an possibility.

Importantly, Que:learn doesn’t change academics. It assumes an actual class atmosphere and is designed to work alongside educators. Academics have entry to a dashboard that enables them to trace every pupil’s studying journey — together with which texts they’ve learn, what questions they’ve struggled with, and the way their pondering is progressing.

That is the place the true worth of AI lies: it might monitor all college students concurrently. A human trainer, regardless of how skilled, can solely test college students’ work one after the other. Que:learn’s AI analyses comprehension knowledge in real-time, flagging areas the place college students might need assistance. This permits academics to spend their restricted time extra successfully, focusing their consideration the place it issues most.

Que:learn is at present being piloted in South Korea. It builds on the success of Futureduck’s earlier platform, Quewrite, which guides college students by means of writing utilizing related AI-driven questioning. Each platforms share a single mission: to nurture impartial, essential thinkers.

Priced at round $6 per pupil per 30 days, Que:learn is designed to be accessible to colleges searching for high-impact, scalable instruments. It’s already attracting curiosity from markets like North America, the UK, Singapore, and Vietnam — all areas the place literacy and demanding pondering are excessive academic priorities and the place colleges are already integrating digital instruments into the classroom.

Futureduck isn’t simply constructing software program — it’s selling a brand new mind-set about AI in training. The place some instruments intention to automate pupil work, Que:learn needs to amplify it. By specializing in considerate questioning and real-time perception, the platform permits college students to mirror extra deeply and offers academics with the assist they should information that journey.

In an age of fast solutions, Que:learn stands out by slowing issues down — and serving to college students suppose issues by means of. Futureduck will likely be at CES 2026 to current its new product and show the way it can improve training.

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