The ClassTrack Suite helps schools and platforms improve teaching quality, engagement, and accountability. It provides insights for teachers, principals, leaders, and parents, closing the loop in the learning ecosystem.
Schools
Problem: Principals and teachers lack objective visibility into classroom practices.Solution:
- Capture audio observations for structured review.
- Provide teacher growth reports with actionable coaching tips.
- Share simple parent reports to increase transparency and trust.
Tutoring Platforms
Problem: Large tutor networks need standardization and pedagogy tracking.Solution:
- Use rubric-based AI observation to monitor distributed sessions.
- Provide micro-trainings and reflection journals for tutor growth.
- Improve pedagogy consistency across locations.
LMS/ERP Platforms
Problem: Administrators lack integrated observation tools within their systems.Solution:
- Embed ClassTrack dashboards directly into LMS/ERP platforms.
- Offer school-wide analytics on teacher performance and engagement.
- Automate compliance-ready exports for leaders.
E-learning Providers
Problem: Digital providers can’t measure engagement during hybrid/online classes.Solution:
- Analyze talk-time balance and sentiment during live sessions.
- Generate parent-facing reports to build adoption and trust.
- Feed insights into content adjustments via AI Studio.
Ecosystem Integration
- Upstream: Lesson Plans + Worksheets form the planned teaching structure.
- Core: ClassTrack analyses real classroom delivery & engagement.
- Downstream:
- Feeds into Teacher Action Plans (reteach strategies).
- Improves AI Studio (lesson plans + worksheets).
- Calibrates the Evaluation Layer for fairer assessments.
Next Step
Next → Move to the Integrated Ecosystem to see how all layers connect end-to-end.FAQ
How does CrazyGoldFish capture classroom observation signals like talk-time, questioning, and pacing?
How does CrazyGoldFish capture classroom observation signals like talk-time, questioning, and pacing?
The classroom observation layer ingests audio/video and surfaces engagement analytics such as talk-time balance, questioning frequency, and pacing. These signals sit alongside rubric-based scoring so coaches can connect instructional behaviors to outcomes and target support precisely.
Can we feed scans, typed docs, audio, and video into a single pipeline for observation and assessment?
Can we feed scans, typed docs, audio, and video into a single pipeline for observation and assessment?
Yes. CrazyGoldFish unifies classroom observation and multimodal assessment in one AI reasoning layer, ingesting scans, typed documents, audio, and video. It applies rubric- or model-answer logic to produce consistent scoring and feedback across modalities.
What human-in-the-loop workflow is available before publishing observation findings?
What human-in-the-loop workflow is available before publishing observation findings?
A human-in-the-loop step lets teachers review suggested scores and analytics, make edits, and approve before publishing. Rechecks and audit logs preserve transparency and trust while keeping educators in control.
How do we integrate the observation experience—APIs vs embeddable, white-label UIs?
How do we integrate the observation experience—APIs vs embeddable, white-label UIs?
You can integrate via direct APIs for full workflow control or use an embeddable, white-label UI for rapid deployment. Both options plug into the unified observation and assessment stack without requiring an in-house AI team.
How are CBSE/ICSE/GDPR requirements addressed for classroom observation data?
How are CBSE/ICSE/GDPR requirements addressed for classroom observation data?
Workflows are CBSE/ICSE/GDPR aligned, supporting curriculum standards and privacy-by-design practices. Compliance-ready dashboards help leaders monitor usage and audit needs without custom rebuilds.
What accuracy should we expect across text, handwriting, audio, and video in observation-driven evaluations?
What accuracy should we expect across text, handwriting, audio, and video in observation-driven evaluations?
Evaluations target up to 95% accuracy across modalities, including text, handwriting, audio, and video. This is paired with rubric-based scoring and a human-in-the-loop review to keep results explainable and instruction-ready.
How does ClassTrack refine rubrics and materials using observation signals?
How does ClassTrack refine rubrics and materials using observation signals?
ClassTrack captures real classroom signals—talk-time balance, questioning, pacing—and feeds them back to refine rubrics and materials. This continuous loop enhances evaluation quality toward up to 95% accuracy while retaining human-in-the-loop control for final approval.
What downstream actions are generated from observation and assessment insights?
What downstream actions are generated from observation and assessment insights?
Results flow into personalized reteach strategies and updated lesson plans so feedback turns into instruction immediately. This creates a closed loop where observation insights directly inform materials and coaching.
Can leaders audit how observation results were produced?
Can leaders audit how observation results were produced?
Yes. Human-in-the-loop approvals and audit logs document edits and decisions, and compliance-ready dashboards provide visibility for leaders. This ensures traceability from raw classroom signals to published outcomes.
Do we need in-house ML expertise to launch classroom observation and assessment?
Do we need in-house ML expertise to launch classroom observation and assessment?
No AI team is required. Ready-to-use APIs and embeddable, white-label UIs enable teams to add observation and multimodal evaluation quickly while maintaining educator oversight and compliance alignment.