Help your students ace their exams with Atomi’s 2023 study plans
Imagine if you could ease the stress of exam season for your students? You can, with our free syllabus-specific study plans!
Designed to be the ultimate support system for your students, our 2023 study plans and timetables are here to revolutionise the way you and your students approach exam preparation.
Taking the guesswork out of exam prep
Bid farewell to the days of aimless cramming and scattered study sessions. Atomi’s study plans provide a detailed roadmap that guides students through their exam preparation journey, ensuring they cover every crucial topic and skill.
Providing a week-by-week study schedule
With our study plans and timetables, your students will have a week-by-week breakdown of what to study and when. This not only prevents last-minute cramming but also fosters a sense of organisation and time management that will benefit them long after their exams are over.
Helping students feel more organised, confident and prepared
As educators, we know that confident students perform better. Atomi's study plans and timetables instil confidence by helping students stay on track, enabling them to approach their exams with a well-rounded understanding of the material.
Students love using our study plans and timetables to help support them in the lead-up to final exams.
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What's Atomi?
Engaging, curriculum-specific videos and interactive lessons backed by research, so you can study smarter, not harder.
With tens of thousands of practice questions and custom revision sessions, you won’t just think you’re ready. You’ll know you are!
Study skills strategies and tips, AI-powered revision recommendations and progress insights help you stay on track.
What's Atomi?
Short, curriculum-specific videos and interactive content that’s easy to understand and backed by the latest research.
Active recall quizzes, topic-based tests and exam practice enable students to build their skills and get immediate feedback.
Our AI understands each student's progress and makes intelligent recommendations based on their strengths and weaknesses.