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New STEM education platform combines power of AI with focus on mindful learning - B-AIM PICK selects

Writer's picture: Kadiri PraveenKadiri Praveen

A new AI-driven education app has launched, combining the power of mindfulness with expert-written content to help students get back on track as they return to school and university.

The platform, called Shiken (meaning ‘test’ or ‘exam’ in Japanese), offers GCSE Maths and Science support, as well as tailored help for students interested in (or currently studying) medicine at university. There are over 40,000 questions, quizzes and study tools for students to use.

Crucially, Shiken uses AI and gamification to create mindful learning experiences. With many students anxious about the new term at school or university after so long away, the platform is designed to support their mental health through fun, interactive learning which can ease them back into education.

With students deprived of direct teacher support during school and university closures, Shiken offers a careful blend of guided and independent learning. This is designed to foster continued self-directed study - a skill designed to prepare students for A Levels as well as potential future lockdowns - alongside essential input from teachers. Students can study alone or in groups to tackle a range of fun

challenges.

Cute and friendly ‘Study Buddy’ characters guide students on their learning journey, with new Buddies and accessories unlocked as students progress. AI optimises the content for each individual learner and ensures they’re getting feedback, remaining focused, and staying on track to meet their goals.

The platform has been designed by a team of industry experts. They include a former Headteacher, an NHS doctor, and a graphic designer with expertise in creating mindful content.

To support learning, schools and tutors can create their own content via the platform. This means that, should students have to return to remote learning, they will have access to engaging, teacher-tailored study materials in future.

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