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

Many AI-powered training instruments in the present day 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 considering via guided dialog, not shortcuts. Beforehand, the corporate had success with Quewrite a personalized that teaches… writing.

In lots of school rooms, academics wish to assist each pupil have interaction 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 strategy. As a substitute of giving college students the solutions, it asks them questions, and the proper. As college students learn, the AI gives prompts earlier than, throughout, and after studying to make sure understanding and encourage deeper engagement. These embrace questions concerning the which means of key concepts, whether or not the coed 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 coed’s degree and responses, serving to construct not solely literacy but in addition reasoning and self-expression. And since it really works via dialog, it encourages college students to suppose out loud, slightly than simply choosing an possibility.

Importantly, Que:learn doesn’t substitute academics. It assumes an actual class surroundings and is designed to work alongside educators. Lecturers 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 considering is progressing.

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

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

Priced at round $6 per pupil per thirty 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 significant considering are excessive instructional priorities and the place faculties 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 goal 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 replicate extra deeply and supplies academics with the help 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 via. Futureduck shall be at CES 2026 to current its new product and show the way it can improve training.

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