PalmBaby · Child Development

Making Every Observation Evidence-Based for Child Development

Overcoming time-consuming and fragmented traditional observations. AI structures multimodal activity clips into behavioral facts; verified by educators to generate evidence-based growth portfolios and differentiated support strategies.

Primary Users
Teachers · Research Leads · Principals
Process Media
Video / Audio / Artifact Multimodal
Human Authority
100% Educator Reviewed
教师在活动现场观察儿童的探究过程
真实活动过程已记录
AI 整理的观察线索等待教师确认

从“发生了什么”到“下一步如何支持”

  • Independent inquiry & problem-solving behaviors
  • Peer collaboration & social communication expressions
  • Educator contextual supplements & confirmation

Traditional Challenges vs Solution Breakthroughs

From 'Memory Reconstruction & Isolation' to 'Objective Facts & Traceable Evidence'

Centering on authentic child activity processes to achieve a professional closed-loop: retain materials, articulate conclusions clearly, and provide continuous developmental support.

Documentation Method

Post-Class Memory Reconstruction

Time-consuming, easily missing nuances, creating heavy overtime paperwork

Lightweight On-Site Multimodal Logging

Lightweight mobile capture, AI auto-distills structured behavioral facts, saving 80% time

Evaluation Foundation

Subjective Claims & Isolated Clips

Assessments lack continuous factual evidence, struggling to convince peers and parents

Evidence-Anchored Domain Alignment

Conclusions 100% aligned with audio/video timestamps and 5 domain rubrics for sub-second traceback

Instructional Support

Static Paper Binders, Seldom Applied

Observations disconnected from daily curriculum, stored in static folders after writing

Differentiated Strategies & Closed-Loop Care

Intelligently suggests level-appropriate center activities and strategies for one-click adoption

Effortless Process Documentation

Relieve teachers from writing while observing; AI automatically distills structured factual evidence.

Evidence-Based Growth Assessment

Every developmental conclusion traces back to specific behavioral clips and exact child quotes.

Continuous Care & Education Follow-Up

Intelligently suggest differentiated support strategies based on observations, seamlessly informing subsequent curriculum.

三种观察方式

从园所已有的素材开始,无需改变现有活动安排

无论园所从哪种素材开始,三种观察方式均进入统一的教师核验闭环,结论汇聚至幼儿专属成长档案。

01
Behavioral Observation

Activity Videos & Routine Behavioral Observations

Educators capture quick videos or photos; AI organizes key actions in autonomous play and center activities, highlighting valuable developmental clues.

输入素材

Activity VideosOn-Site PhotosTeacher Notes

AI 结构化产出

  • Chronologically structured behavioral facts
  • Automated alignment with 5 developmental domain clues
  • Generates editable, customizable draft records
Eliminate fuzzy memory logging · Restore authentic inquiry
02
Child Listening

Child Listening & Verbal Cognitive Analysis

Record children's narratives, peer dialogues, and artwork descriptions; AI accurately transcribes and distills cognitive clues to support deep listening.

输入素材

Child Voice MemosPeer Dialogue RecordingsTeacher-Child Interactions

AI 结构化产出

  • High-accuracy voice transcription and speaker recognition
  • Extracts expressive intent and cognitive logic threads
  • Preserves original audio slices for instant playback
Listen to inner voices · Capture cognitive leaps
03
In-Depth Inquiry

PBL Project Inquiry Process Analysis

For longitudinal inquiry projects, systematically aggregates multiple records, child artifacts, and group reflections to showcase full project progression.

输入素材

Multi-Phase RecordsChild Visual DrawingsGroup Discussion Logs

AI 结构化产出

  • Longitudinal inquiry progression mapping across phases
  • Integrates artwork drawings, problem-solving, and peer teamwork
  • Generates milestone summaries and subsequent inquiry prompts
Full-trajectory visibility · Crystal-clear review paths
教师在活动现场观察儿童并用手机记录探究过程
真实过程 · 现场记录

活动现场的一次记录,就能成为可核对、可跟进的成长依据。

统一工作过程

教师始终在场:从素材留痕到支持行动的六个步骤

AI 负责高效整理与生成线索初稿,教师负责专业审核与最终决定。全过程透明留痕,让每一次评价都有据可查。

  1. 01Teacher Capture

    Multimodal Capture

    Videos, photos, audio clips, and artifacts enter the system under compliance and consent, preserving rich on-site details.

  2. 02AI Smart Structuring

    AI Clue Extraction

    AI speech transcription, behavioral sequence analysis, and structuring drafts against early childhood five-domain standards.

  3. 03100% Educator Authority

    Teacher Verification & Notes

    Educators add contextual background and verify facts, freely editing, supplementing, or vetoing any non-conforming items.

    教师享有一键确认、修改或否决权
  4. 04Teacher & Researcher

    Traceable Growth Analysis

    Verified clues compile into developmental analysis reports where every finding traces back to corresponding audio/video evidence.

  5. 05AI Recommendation

    Individualized Support Strategies

    Intelligently suggesting differentiated center materials and activity strategies matched to the child's developmental zone.

  6. 06Campus Asset Retention

    Portfolios & Research Dashboards

    Consolidating into child digital growth portfolios while aggregating five-domain progress dashboards for campus research.

真实产品证据

每一条发展评价,都能精准回到原始素材

判断一个观察工具是否可用,要看真实界面、证据能否回溯、结论站不站得住。我们按园所权限逐项展示这些内容。

Autonomous Play · Construction Center

Senior Class Center Play 'Future Overpass' · Authentic Inquiry Audio

记录时段 10:15 - 10:28
Child · Lele (Age 6)
随堂原声切片

"I added four bridge piers instead of two, and laid long planks on top. Now the big dump truck drives across without shaking at all!"

Five Core Domains · Scientific Inquiry & Spatial Cognition

Attempted to solve load-bearing stability by altering fulcrum numbers and contact area, exhibiting clear causal inference and trial-and-error adjustment.

Verified & Approved by Teacher

Teacher note: "Lele tested diverse bridge structures over 3 consecutive days, successfully completing this 4-span bridge independently."

Recommended Care & Education Action

Provide varied incline ramps and measuring rulers; encourage Lele to draw structural blueprints and explore slope impacts on car velocity.

What You Will Experience in the Dedicated Demo

To protect child and campus privacy, live interfaces and anonymized workflows are demonstrated in 1-on-1 walkthroughs tailored to your campus context.

  • Authentic Product Interface & Interactions Intuitive workflow from uploading multimodal clips to generating structured clues with exact timestamp anchors.
  • Complete Anonymized Observation Sample A complete anonymized sample report across the five core developmental domains.
  • Educator Verification Comparison Clear before-and-after comparison showing educator contextual additions and verification.
  • Child Listening Transcription & Tagging High-accuracy transcription with visual highlights on overlapping or uncertain audio segments.

对不同角色的价值

From Individual Child Milestones to Campus-Wide Quality Excellence

Educator-verified observation data empowers different roles across tiered permissions. Leadership dashboards guide research and resources, never punitive ranking.

Workload Relief

Teachers · Workload Relief & Grounded Support

Say goodbye to late-night memory write-ups; every observation is verifiable, and suggested strategies apply directly to tomorrow's plans.

  • 80% reduction in documentation time
  • Evaluations 100% anchored to audio/video evidence
  • One-click generation of differentiated lesson plans
Evidence-Based Research

Research Leads · Targeted Evidence-Based Research

Directly observe five-domain coverage and areas for growth across classrooms; research discussions anchor to authentic clips rather than impressions.

  • Full panoramic five-domain observation coverage
  • Research workshops anchor to authentic video slices
  • Preserve school-based exemplar growth case studies
Strategic Decisions

Principals · Data-Driven Campus Governance

Campus-wide developmental trends and care quality at a glance, guiding staff training and resource allocation for high-quality operations.

  • Longitudinal child growth portfolios as campus assets
  • Data-driven resource allocation without punitive KPIs
  • Clearly showcase campus care excellence and uniqueness

实施路径

3 天体验、7 天跑通、30 天阶段验收

不要求全园一次性铺开。每个阶段只验证对应目标:先看产品,再跑流程,最后依据约定范围完成阶段复盘。

  1. 01
    Phase 1

    3 Days · Scenario Experience

    Select pilot scenarios, confirm authorization boundaries, and experience the full workflow from media input to report output 1-on-1.

  2. 02
    Phase 2

    7 Days · Workflow Run-Through

    Run through the routine cycle of 'Capture — AI Structuring — Teacher Verification — Action Plan' in representative classrooms.

  3. 03
    Phase 3

    30 Days · Stage Acceptance

    Review observation quality, teacher workload reduction, and research depth; generate a customized campus outcome analysis report.

FAQ

开始前需要了解什么

围绕 AI 边界、使用门槛、数据授权和家园展示,先回答园长和教研负责人最常问的问题。

Does AI directly evaluate children subjectively?

Never. AI serves purely as an intelligent teaching assistant for transcription and draft structuring. All developmental conclusions and support strategies require educator contextual verification, with 100% human veto authority.

Is expensive hardware mandatory to get started?

Not at all. Existing campus phones or tablets are fully sufficient for capturing media. Optional fixed smart hardware can be added later if needed.

Are daily observations, child listening, and PBL separated systems?

No. Behavioral observation, child listening, and PBL are deeply unified within a single workbench, automatically syncing into child growth portfolios.

What scale should our campus start with?

We recommend starting with 1-2 representative classrooms and one typical routine (such as self-directed play) before scaling smoothly across campus.

Will parents directly receive unreviewed AI content?

Never automatically. All parent-facing content must be explicitly reviewed and approved by educators, strictly adhering to campus permission settings.

Child Data Security & Educational Ethics Boundaries

Audio/video media capture strictly adheres to minor protection laws and parental consent systems, with end-to-end encryption and educator-led authority.

Informed Consent & Purpose Limitation

Strictly defining capture objectives, media boundaries, visible roles, and retention periods, ensuring compliance first.

100% Educator Human Verification

AI serves solely as an assistant; teachers retain 100% editing, supplementing, and veto authority over all findings.

Data Sovereignty & On-Demand Purge

Campus administrators control retention windows with full encryption, supporting one-click anonymized export or secure deletion.

Fine-Grained Permissions & Home Safeguards

Tiered permissions for teachers, research leads, and principals prevent unauthorized access and data leakage.