AI赋能智慧课程建设 (@KCJS588) on Xiaohongshu (RED)

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AI赋能智慧课程建设 is a creator on Xiaohongshu (RED) in the 10K–20K follower range, publishing for Undergraduate university faculty across China, especially those preparing for or planning to participate in the National College Teaching Innovation Competition, based in China. Profile last checked 2026-07-25.

Observed facts (from the public profile):

Profile 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。

What this creator posts about, and who reads it (AI-inferred)

Recurring topics: National University Teacher Teaching Innovation Competition rules and preparation guide, Analysis of excellent teaching cases/teaching innovation cases across disciplines, 10-minute PPT presentation structure and visual presentation tips, Blended learning design and classroom recording considerations, AI-powered smart course construction application scenarios

Audience: Undergraduate university faculty across China, especially those preparing for or planning to participate in the National College Teaching Innovation Competition

Provenance: inferred by AI from public content, not stated by the creator — confidence 0.75 · read from 41 recent posts · updated 34 days ago.

Audience read from this creator’s own recent posts, not from platform-declared categories. It is our reading, and it can be wrong.

Recent content samples (what the inference above was drawn from)

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！ 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

在人工智能的驱动下 未来的教育将更加个性化 每个学生都将得到定制化的教学计划和一对一的辅导 这将极大地提高教育质量和效率 #智慧课程建设 话题 # #人工智能 话题 # #AI课程

Where this creator sits among comparable accounts

Compared with the 453 accounts in the same group (xiaohongshu · koc · software):

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Koinon Link indexes Xiaohongshu (RED) creators in Entertainment with grade, authenticity and contactability broken down — see the Xiaohongshu (RED) × Entertainment breakdown, or the Creator Index Report for the whole index.

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Machine-readable representations

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• /kol/xiaohongshu/KCJS588.json
• /kol/xiaohongshu/KCJS588.md

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