•Content Interaction Data: Track which content students engage with, how long they spend on each piece, and their navigation patterns
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•Feedback on Content: Collect students' ratings or feedback on the usefulness and clarity of the content.

•Progress Tracking: Monitor students' progress through the curriculum, including completion rates and time spent on each module or topic.

•Question Patterns: Analyse the types of questions students ask, including subject areas, difficulty levels, and the frequency of certain topics.

•Response Effectiveness: Track how well students understand the answers provided by the simple AI tutor, possibly through follow-up questions or feedback.

•Misconceptions Identification: Identify common misconceptions or areas of confusion based on the questions asked.

•Assessment Performance: Record scores along with the types of questions they struggle with.

•Learning Gaps: Analyse incorrect answers to pinpoint specific knowledge gaps or areas where students need further reinforcement.

•Test-Taking Behaviour: Monitor how students approach tests, including time spent on each question, patterns of guessing, and changes in performance over time.

•Gameplay Data: How students interact with educational mini-games - strategies, decision-making processes, and areas where they excel or struggle.

•Social Learning Dynamics: Observe how students collaborate or compete with their peers - communication patterns and the impact of social learning.

•Engagement Metrics: Track engagement levels -time spent playing, frequency of play, and overall enjoyment.

Built for any learning pathway
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- The Online School
- Traditional Schools
- CPD Providers
- Other EdTech Providers