Evidence-Traceable Assessment
Vital diagnostic points link directly to verbatim quotes and corresponding audio timestamps for precise teacher playback.
Diagnosing questioning heuristics and interaction quality from routine classroom audio/video. Sub-second audio timestamp traceability and longitudinal aggregation create comprehensive growth portraits for evidence-based teaching research.
Making instructional reflection evidence-based; making teacher growth clearly visible.

Grounded in routine classroom media and sub-second audio playback, shifting pedagogical research from impression scoring to objective evidence-based refinement.
Current Bottlenecks vs Solution Breakthroughs
Addressing the low frequency, subjective scoring, and untrackable nature of traditional lesson reviews with AI evidence-based research paradigms.
Relying on research directors to physically sit in on classes is time-consuming and narrow in reach, leaving novice teachers with few systematic reviews per year.
Routine lesson audio/video uploaded with one click; AI automatically transcribes and evaluates questioning heuristics and interaction quality across dimensions for all faculty.
Reviews rely on observer subjective impressions and fragmented notes, lacking quantitative metrics and dialogue facts, easily causing cognitive disagreements.
Conclusions are 100% anchored to original classroom audio and dialogue slices with sub-second playback; question tiers and wait times are quantified for dispute-free review.
Feedback stays in verbal chats or paper memos, making improvement tracking difficult and hindering the structured replication of master teacher experience.
Automatically building longitudinal teacher growth portfolios and interaction radar evolution over time, preserving exemplar lessons as school digital assets.
Core Outcomes
Placing classroom assessment, evidence verification, and phased research on a clear path to make feedback concrete and improvements verifiable.
Vital diagnostic points link directly to verbatim quotes and corresponding audio timestamps for precise teacher playback.
Single reports present diagnostic rationale, classroom performance, and concrete suggestions to identify next practice priorities.
Aggregating valid records by teacher and date range provides a shared objective foundation for phased pedagogical reviews.
Solution Overview
Layered view across product form, business domain, core AI engines, and implementation services.
Tier 1
Tier 2
Tier 3
Tier 4
Diagnostic results serve professional development strictly and are never used for public punitive scoring.
Objective Data Sources
Assessment and pedagogical research only utilize authorized classroom materials relevant to current goals, maintaining full records for teacher verification.
Upload one or more classroom video/audio clips as raw evidence for evaluating questioning techniques or instructional interactions.
Record teacher evaluated, date, assessment category, and media scope to distinguish each individual professional milestone.
Select valid historical growth records by teacher and date range to construct phased longitudinal aggregations.
Implementation Roadmap
Starting from one authentic classroom recording, embedding AI analysis into verifiable educator reflection and research workflows.
Select teacher, assessment type, and authorized classroom media to formulate a clearly defined diagnostic task.
Generate questioning or interaction support evaluations, presenting diagnostic rationale, verbatim quotes, and audio links.
Teachers and directors verify evidence, confirm action steps, and conduct phased milestone reviews using valid records.
Roles & Collaboration
Establishing an objective evidence-based teacher development paradigm via 'Classroom Media — Multidimensional Diagnosis — Audio Evidence — Reflection — Longitudinal Growth'.
AI
Transcribing classroom dialogue with high precision, diagnosing questioning heuristics and interaction quality with audio links.
Educator
Teachers reflect based on pedagogical intentions; directors provide pinpoint guidance anchored in objective slices.
Recording routine classroom sessions, reviewing diagnostic reports against audio evidence, and engaging in contextual reflection.
Organizing targeted lesson refinement workshops around objective classroom slices, formulating tiered staff development plans.
Delivering rubric training, introducing evidence-based research paradigms, and providing joint expert review workshops.
Implementation Roadmap
From master teacher demonstrations to campus-wide routine research, empowering professional progression across all teacher tiers.
Starting from one authentic classroom evaluation, verifying evidence and confirming one actionable improvement focus.
Selecting representative classrooms or research themes to establish steady rhythms for assessment, review, and milestone summaries.
Validating media standards, role duties, and research methods in benchmark campuses before defining multi-campus rollout scopes.
Implementation & Phased Acceptance
A lesson diagnostic report containing rubric radar charts, sub-second audio playback, and tiered action advice.
Select one assessment type and a representative classroom clip; experience the real flow from upload to report generation.
Complete consent confirmation, media upload, report compilation, audio evidence playback, and manual review to identify an improvement focus.
Aggregate valid records over agreed periods to review assessment quality, staff engagement, and research actions before scaling.
Security, Compliance & Ethics
Classroom media capture strictly adheres to informed consent. Diagnostic outputs are dedicated exclusively to professional growth and training, never for public punitive scoring.
Confirming intended purpose, media boundaries, participant consent, and retention parameters prior to upload.
Individual teacher diagnostic files and campus-wide research summaries are strictly permission-isolated to protect educator privacy.
AI diagnostics serve as references; teachers and research directors retain complete autonomy for modification and professional interpretation.
Solution & Implementation FAQ
Explains solutions based on current capabilities: teacher questioning and instructional support evaluations generate single records; phased reports aggregate records across chosen periods.
Questioning assessment focuses on question tiers and guiding higher-order thinking; instructional support assessment evaluates interaction quality across 13 rubrics including cognitive development, feedback quality, and language modeling.
Yes. A single diagnostic session can include multiple audio/video clips of the same lesson; the system automatically merges, transcribes, separates speakers, and maps rubrics.
Phased portraits aggregate data and radar charts across multiple lessons over a set period to illustrate growth trajectories, strictly avoiding biased conclusions from isolated lessons.
ClassBuddy focuses on daily teacher lesson planning, environment design, and administrative workload reduction, whereas AI-Assisted Teacher Development focuses on classroom interaction diagnostics.
Diagnosing questioning heuristics and interaction quality from routine classroom audio/video. Sub-second audio timestamp traceability and longitudinal aggregation create comprehensive growth portraits for evidence-based teaching research.