Computer Science Curriculum
The EAI Curriculum is knowledge based, so ensuring that students build a strong, formal foundation in Computer Science. The Core Curriculum stages are carefully structured so that students build on previous knowledge. An early adoption in Computational Thinking concepts from Stage 1 ensures students possess the skills to articulate a problem, solve it, and think logically from an early age.
A complementary set of Extended Curricula, covering topics including Machine Learning and Robotics, is also available for passionate students who want to apply their computing knowledge to different applications.
This set of curriculums is also designed for hybrid learning, so a combination of both offline/ in-person and online.
Learning Resource Bank
A bank of both Unplugged and Screen Based learning resources are provided, to enhance students understanding on each Learning Objective. All activities are aligned with Education AI’s Core and Extended Curriculum.
The activities are designed to target different ability groups, ensure students that need extra help or extra challenges are catered for. All screen based activities are graded upon completion, and delivered to the teacher’s desktop for monitoring. In hybrid settings, students can collaborate virtually to complete the activities together.
Teaching Information System
Our Modern Education Teaching Information System (METIS) supports teachers by providing them with real-time insights, both class wide and on individual performance.
By connecting Curricula, Activities and individual Learning Objectives, METIS provides a real time view on the whole class performance, whilst also allowing teachers to drill down into individual students’ data.
EAI’s Engagement Metrics Framework, which highlights students’ progress, their understanding of each Learning Objective, and level of engagement on different activities, aims to support teachers with a 360 degree view of his/her classroom.
