# AI赋能智慧课程建设 (@KCJS588) on xiaohongshu

- id: koinon:creator:xiaohongshu_kcjs588
- url: https://koinonlink.com/kol/xiaohongshu/KCJS588
- schema_version: 1.3

## Identity
- platform: xiaohongshu
- handle: KCJS588
- platform_url: https://www.xiaohongshu.com/user/profile/66978bdd0000000003032c7b
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 19400
- posts_observed: 5
- verified: false
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.01278
- best_post_interactions: 248
- measurement_source: cn_posts_max
- measurement_formula: likes + comments + shares (douyin) or likes + comments + collects (xiaohongshu), max over observed posts
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: entertainment
- subcategory: edu_science
- category_confidence: 0.8
- category_source: derived_from_recent_content
- topics: 全国高校教师教学创新大赛赛制与备赛攻略, 各学科优秀说课/教学创新案例拆解, 10分钟PPT汇报结构与视觉呈现技巧, 混合式教学设计与课堂实录注意事项, AI赋能智慧课程建设应用场景
- bio: ⛽十二年壹流课程建设经验（覆盖全国）
⛽累计服务10000+高校老师（课件美化）
⛽教学数字人1:1克隆超省心（多种语言）
⛽微课/慕课/精品课/说课/教创赛录制等
搭建教、学、评、管、一体化教学平台。

## Audience (inferred)
- status: present
- description: Undergraduate university faculty across China, especially those preparing for or planning to participate in the National College Teaching Innovation Competition
- roles: content
- seniority: practitioner
- pain_points: Limited to 10 minutes for the teaching presentation—how to refine language, avoid vague statements, and clearly highlight innovative elements, Unclear on how to structure a logical narrative (problem → concept → implementation → outcomes) aligned with competition scoring criteria, Struggling to meet judges' expectations in classroom recordings and PPT visual design, lacking high-quality reference examples, Lacking hands-on experience in integrating ideological and political education, designing blended learning approaches, and providing data-driven evidence
- posts_analysed: 41
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.7
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 64
- authenticity_basis: engagement_observed
- credibility_score: 56
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [xiaohongshu_kcjs588#12e0f303] 全国高校教师教创赛通关秘籍！ / 全国高校教创赛通关秘籍｜评委高频提问+精准应答，关键时刻能救场，收藏即赚分！ (https://www.xiaohongshu.com/user/profile/66978bdd0000000003032c7b)
- [xiaohongshu_kcjs588#cc751225] 备赛的核心前提的是“知己知彼”，要以赛事评分细则为核心依据，围绕PPT汇报的每一个细节——每一句话、每一组数据、每一张图表 / 基于AI赋能的课程建设场景应用案例分享 / 在人工智能的驱动下
- [xiaohongshu_kcjs588#af958f47] 未来的教育将更加个性化
- [xiaohongshu_kcjs588#14d3362a] 每个学生都将得到定制化的教学计划和一对一的辅导
- [xiaohongshu_kcjs588#6695139a] 这将极大地提高教育质量和效率
- [xiaohongshu_kcjs588#04c2cc94] #智慧课程建设[话题]#  #人工智能[话题]#  #AI课程[ / 揭秘优秀说课《趣聊音乐》汇报案例 / 加强课程思政建设，将课堂教学与思政教育相结合，
- [xiaohongshu_kcjs588#d6b8cf74] 将德育与智育相结合，在专业知识科学性、
- [xiaohongshu_kcjs588#9af6daba] 逻辑性的基础上，宣传知识创造的社会贡献度，

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=34, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=34, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=34, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=40, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=0, method=Starts at 60; interactions-per-follower on collected posts then adds or subtracts (large following with near-zero engagement is penalised heavily). — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=40, method=llm_partner_fit_classifier + authenticity >= 55 AND fit_score >= 0.45 => A; authenticity >= 40 AND fit_score >= 0.3 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=40, method=platform_profile

## Freshness
- profile_checked_days_ago: 40
- content_analysed_days_ago: 0
- audience_updated_days_ago: 34

## AI retrieval
- indexing_requests: 1
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=xiaohongshu_kcjs588
- Request removal: https://koinonlink.com/claim?k=xiaohongshu_kcjs588
- Terms: https://koinonlink.com/for-ai