通过嵌入文本和基于相似性的网络量化职业教育和培训的影响
Hyeongjae Lee1, Inho Hong1,2
1Graduate School of Data Science, Chonnam National University, Gwangju, Korea.
PloS one
|August 21, 2025
概括
与新加坡第四次工业革命相关的职业教育和培训课程对就业市场的影响更大. 一项研究揭示了职业教育的供需不匹配,一般技能领域的供应过多.
科学领域:
- 经济学
- 在教育方面
- 数据科学
背景情况:
- 由于与当地经济的复杂关系,评估职业教育和培训 (VET) 对创造就业和技能发展的影响是复杂的.
- 量化职业教育课程的影响需要先进的分析方法来了解其经济相关性.
研究的目的:
- 量化职业教育课程对就业机会和技能发展的影响.
- 分析新加坡职业教育,未来经济趋势和专业化之间的关系.
- 找出与劳动力市场需求相对的职业教育供应链中的潜在不平衡.
主要方法:
- 通过新加坡的SkillsFuture数据建立了一个超过17,000个课程,工作和技能的网络.
- 使用句子转换器嵌入文本技术来捕获文本相似性并构建网络.
- 根据构建的网络和经济背景的联系,分析了课程的影响.
主要成果:
- 与新加坡第四次工业革命经济相结合的职业教育课程的影响力更大.
- 课程的影响在各个部门有很大差异,与技能特异性相关.
- 在需要一般技能的行业中,职业教育的供应显著集中,这表明存在潜在的不匹配.
结论:
- 推动未来经济增长的职业教育课程,特别是与第四次工业革命相关的课程,具有更大的影响力.
- 技能特异性是影响不同部门职业教育课程经济影响的关键因素.
- 目前的职业教育供应分布可能与劳动力市场需求不完全一致,一般技能领域供应过剩.
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