臺灣博碩士論文加值系統

圖書資訊學核心能力被應用於圖書館以外的非傳統就業市場時被稱作「可轉移技能」。本研究使用神經主題模型BERTopic，以自動編碼的方式分析COVID-19疫情中與疫情後的大量網路徵才廣告，探討圖書資訊學核心能力作為可轉移技能，在非傳統就業市場中的需求情形與可能性，為圖書資訊學科的教育者、學生及專業人士在課程設計、職涯規劃和專業發展等方面提供參考。
研究結果顯示，就業市場需求類型在疫情中和疫情後保持穩定不變。在就業市場中，辨識出（1）軟體應用及文書處理、（2）醫護與考照、（3）教學及課輔、（4）行銷分析與廣告、（5）軟體工程、（6）法務及專利、以及（7）商務系統等七種與圖書資訊學科高度相關的非傳統就業市場，此結果顯示出圖書資訊學科跨領域的應用潛力，其中軟體應用及文書處理的市場需求與圖書資訊學關聯度最高；而行銷分析與廣告的業市場需求則有最多跨領域發展機會。可轉移技能方面，辨識出可轉移技能在不同非傳統就業市場中的需求情形及重要性差異，並且資訊科技應用能力和部分軟性技能在多個非傳統就業市場中普遍受到重視；同時發現有部分可轉移技能與市場需求高相關但並未被頻繁提及，顯示了該技能存在未知的潛在價值。
基於研究結果，本研究為圖書資訊學科的教育和職涯發展提出了建議。在課程設計方面，建議增強對軟體應用、語言能力和數位行銷等高需求技能的培養；在職涯規劃方面，建議為學生提供更多關於非傳統就業市場的資訊和指導，幫助他們認識到所學技能的廣泛應用潛力；在專業發展方面，建議為在職專業人員提供持續教育機會和交流平台，幫助他們適應新興科技和市場需求的變化，並深入理解各領域對圖書資訊專業的實際需求情形與潛在價值。

When core competencies in library and information science are applied to non-traditional employment markets outside of libraries, they are referred to as "transferable skills." This study uses the neural topic model BERTopic to analyze a large number of online job advertisements during and after the COVID-19 pandemic through automated encoding, exploring the demand and potential of library and information science core competencies as transferable skills in non-traditional employment markets. The aims of this study provide references for educators, students, and professionals in the field of library and information science regarding curriculum design, career planning, and professional development.
The results indicate that the types of job market demands remained stable during and after the pandemic. In the job market, seven non-traditional employment markets highly related to library and information science were identified: (1) software applications and office processing, (2) medical care and certification, (3) teaching and tutoring, (4) marketing analysis and advertising, (5) software engineering, (6) legal affairs and patents, and (7) business systems. This reflects the cross-disciplinary application potential of library and information science, with the highest correlation found in the market demand for software applications and office processing; marketing analysis and advertising showed the most cross-disciplinary development opportunities. Regarding transferable skills, the study identified the demand and importance of these skills in various non-traditional employment markets. It found that information technology application abilities and some soft skills are generally valued across multiple non-traditional employment markets. Additionally, certain transferable skills were found to be highly relevant to market demands but were not frequently mentioned, indicating an unknown potential value for these skills.
Based on the research results, the study offers recommendations for the education and career development of the library and information science discipline. In terms of curriculum design, it is recommended to enhance the cultivation of high-demand skills such as information technology application, language proficiency, and digital marketing. For career planning, it is suggested to provide students with more information and guidance on non-traditional employment markets, helping them recognize the broad application potential of their acquired skills. Regarding professional development, it is advised to offer opportunities for in-service training, providing professionals with continuing education opportunities and exchange platforms to help them adapt to emerging technologies and changes in market demands, as well as to gain an in-depth understanding of the actual needs and potential value of library and information science in various fields.

摘要 i
Abstract ii
目次 iv
表目次 vi
圖目次 vii
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的與問題 3
第三節 研究範圍與限制 3
第四節 名詞解釋 4
第二章 文獻回顧 6
第一節 圖書資訊學核心能力與可轉移技能 6
第二節 主題模型與BERT之應用 15
第三章 研究方法 19
第一節 研究流程 19
第二節 前導研究 20
第三節 研究架構 27
第四節 研究對象及工具 28
第五節 資料蒐集 29
第六節 資料處理及分析 30
第四章 研究結果與分析 37
第一節 疫情中及疫情後主題建模結果之差異 37
第二節 圖書資訊學核心能力與徵才廣告主題之相似度分析 38
第三節 高相似度徵才廣告主題之重要詞彙分析 48
第五章 結論與建議 70
第一節 研究結論 70
第二節 研究建議 76
參考書目 79
附錄一 前導問卷題目 83
附錄二 資料蒐集相關程式碼 86
附錄三 資料處理及分析相關程式碼 100
附錄四 疫情中及疫情後模型相似度計算結果 109
附錄五 核心能力與主題相似度計算結果 110
附錄六 高相關主題之欄位內容詞頻計算結果 113

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