!!Projects per year
個人檔案
研究專長
資訊組織、數位典藏、閱讀研究
學歷
國立臺灣大學圖書館學博士
指紋
查看啟用 Chao-Chen Chen 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
- 1 類似的個人檔案
過去五年中的合作和熱門研究領域
國家/地區層面的近期外部共同作業。按一下圓點深入探索詳細資料，或
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Structural equation modeling analysis of academic reading literacy and influence factors among Taiwan high school students
Chen, C. C., Hong, Q. Z. & Wang, N. C., 2026 3月, 於: Journal of Librarianship and Information Science. 58, 1, p. 60-77 18 p.研究成果: 雜誌貢獻 › 回顧評介論文 › 同行評審
開啟存取 -
AI-enhanced reference services in special libraries: a case study of the Hakka Literary Museum
Chen, C. C. & Chang, C. C., 2025, (接受/付印) 於: Electronic Library.研究成果: 雜誌貢獻 › 期刊論文 › 同行評審
2 連結會在新分頁中打開 引文 斯高帕斯（Scopus） -
Comparative Analysis of Public Library Service Feedback on Social Media and Google Maps Reviews
Chen, C. C. & Chang, C. C., 2025, Sustainability and Empowerment in the Context of Digital Libraries - 26th International Conference on Asia-Pacific Digital Libraries, ICADL 2024, Proceedings. Oliver, G., Frings-Hessami, V., Du, J. T. & Tezuka, T. (編輯). Springer Science and Business Media Deutschland GmbH, p. 107-118 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; 卷 15494 LNCS).研究成果: 書貢獻/報告類型 › 會議論文篇章
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Evaluating Public Library Services in Taiwan through User-Generated Content: Analyzing Google Maps Reviews
Chen, C. C. & Chang, C. C., 2024 6月, 於: Electronics (Switzerland). 13, 12, 2393.研究成果: 雜誌貢獻 › 期刊論文 › 同行評審
開啟存取4 連結會在新分頁中打開 引文 斯高帕斯（Scopus） -
Cultural Research Trends of Taiwan’s Indigenous Peoples, 2000–2021
Chen, C. C., Tu, Y. F., Chen, Y. C., Iku-Silan, A. & Chen, F. Y., 2023, Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration - 25th International Conference on Asia-Pacific Digital Libraries, ICADL 2023, Proceedings. Goh, D. H., Chen, S.-J. & Tuarob, S. (編輯). Springer Science and Business Media Deutschland GmbH, p. 106-115 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 14457 LNCS).研究成果: 書貢獻/報告類型 › 會議論文篇章
資料集
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Measuring the educational value of comic books from the school librarians’ perspective: A region-wide quantitative study in Taiwan
Lo, P. (Creator), Lyu, Y.-P. (Contributor), Chen, J.C.-C. (Creator), Lu, J.-L. (Contributor) & Stark, A. J. (Creator), SAGE Journals, 2021
DOI: 10.25384/sage.c.5278331, https://sage.figshare.com/collections/Measuring_the_educational_value_of_comic_books_from_the_school_librarians_perspective_A_region-wide_quantitative_study_in_Taiwan/5278331
資料集: Dataset
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Measuring the educational value of comic books from the school librarians’ perspective: A region-wide quantitative study in Taiwan
Lo, P. (Creator), Lyu, Y.-P. (Contributor), Chen, J.C.-C. (Creator), Lu, J.-L. (Contributor) & Stark, A. J. (Creator), SAGE Journals, 2021
DOI: 10.25384/sage.c.5278331, https://sage.figshare.com/collections/Measuring_the_educational_value_of_comic_books_from_the_school_librarians_perspective_A_region-wide_quantitative_study_in_Taiwan/5278331
資料集: Dataset
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Measuring the educational value of comic books from the school librarians’ perspective: A region-wide quantitative study in Taiwan
Lo, P. (Creator), Lyu, Y.-P. (Contributor), Chen, J.C.-C. (Creator), Lu, J.-L. (Contributor) & Stark, A. J. (Creator), figshare SAGE Publications, 2021
DOI: 10.25384/sage.c.5278331.v1, https://sage.figshare.com/collections/Measuring_the_educational_value_of_comic_books_from_the_school_librarians_perspective_A_region-wide_quantitative_study_in_Taiwan/5278331/1
資料集: Dataset
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Measuring the educational value of comic books from the school librarians’ perspective: A region-wide quantitative study in Taiwan
Lo, P. (Creator), Lyu, Y.-P. (Contributor), Chen, J.C.-C. (Creator), Lu, J.-L. (Contributor) & Stark, A. J. (Creator), SAGE Journals, 2021
DOI: 10.25384/sage.c.5278331.v1, https://sage.figshare.com/collections/Measuring_the_educational_value_of_comic_books_from_the_school_librarians_perspective_A_region-wide_quantitative_study_in_Taiwan/5278331/1
資料集: Dataset