What is Olex.AI?
Olex.AI provides educators with advanced tools leveraging generative AI to improve the teaching and assessment of English writing, as well as other subjects like History and Religious Studies. It streamlines the feedback process, allowing teachers to mark essays and provide detailed feedback rapidly, often in under two minutes.
The platform supports inclusivity through multilingual feedback translation and allows for customization with nationally recognized rubrics or school-specific frameworks. Beyond individual feedback, it offers analytics for tracking longitudinal performance and tools for automated lesson planning based on class-wide needs. An innovative feature also transforms student writing into visually illustrated StoryBooks using AI.
Features
- Lightning-Fast Feedback: Mark individual and class essays with detailed feedback in under 2 minutes.
- Multilingual Support: Automatically translate feedback into any student’s native language.
- Customisable Marking Criteria: Set up nationally recognised rubrics and apply custom school frameworks.
- OlexAnalytics: Track longitudinal performance and improve moderation.
- Automated Lesson Planning: Generate targeted lesson plans to address class-wide challenges.
- AI-Powered Visual Storytelling (Imaginator StoryBooks): Turn student writing into personalised StoryBooks with AI-generated illustrations.
- AI Handwriting Recognition: Recognise and process handwritten text.
Use Cases
- Providing rapid, detailed feedback on student essays.
- Assessing English, History, and Religious Studies writing assignments.
- Supporting EAL (English as an Additional Language) students with translated feedback.
- Standardizing marking across a school or MAT using custom rubrics.
- Tracking student writing progress over time.
- Generating lesson plans tailored to address specific writing challenges.
- Creating engaging, illustrated storybooks from student writing.
- Reducing teacher workload associated with marking.
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Olex.AI Uptime Monitor
Average Uptime
99.58%
Average Response Time
869.97 ms
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