Teachers lack a systematic way to identify confused or disengaged students during and after online classes.
Existing tools offer dashboards with generic metrics but fail to provide actionable, real-time insights into student confusion and engagement based on class transcripts, chat activity, and participation patterns.
Implied Software Gaps
- AI tool that analyzes class transcripts and chat to identify confused students and provide actionable summaries
ClarityCheck
ClarityCheck is an AI-powered post-session analytics tool for online classes that identifies confused, disengaged, or silent students using transcript sentiment, chat tone, and participation data. It delivers a simple, prioritised report highlighting who needs follow-up and when attention dropped, so teachers can act without sifting through dashboards.
- Post-session confusion heatmap showing timeline of lowered engagement or negative sentiment
- Automated flagging of students with low participation or confused language in chat
- Summarised follow-up recommendations for each flagged student
- Integration with Zoom, Google Meet, and Microsoft Teams
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