博碩士論文 104481015 詳細資訊




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姓名 賀榮宗(Jung-tsung Ho)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 科技增進學習在高等教育應用之書目計量研究: 兩階段引用網絡及潛在語意分析
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摘要(中) 科技增進學習是指在學習和教學的環境中應用資訊及電腦科技以增加學者學習成效的新興概念。在高等教育中,資訊及電腦科技在教學環境的應用既是一種創新,也是對傳統學習機制的一種突破性變革。在目前相關科技增進學習的文獻當中,已發表的回顧性論文基本上傾向於特定研究問題的探索,或是根據有限篇幅的論文歸納出最後的論點;以大量出版論文為基礎,探討整體研究領域發展趨勢的研究則相當罕見。因此,本文提出了一種結合直接引用網絡分析和文本分析的兩階段書目計量方法,並以這個方法檢視科技增進學習應用在高等教育的歷史發展。本研究從Web of Science科學資料庫中檢索出2,154篇SCIE和SSCI索引論文。首先,以直接引用網絡為基礎的群集分析將這些論文區分為五個主要歷史發展流向,接著我們使用文字探勘方法中的潛在語意分析決定每個主要發展流向中的重要主題以總結全部的發展狀況。利用本文所提出的兩階段書目計量方法,我們提取出科技增進學習應用在高等教育研究領域的主要特徵,包括:歷史發展主要流向、每個主要流向內的重要主題、每個重要主題所包含的論文數量以及關鍵論文列表。透過提取出的這些特徵,本研究提供了一種系統化的方法,讓研究者可以快速的深入理解科技增進學習在高等教育應用上的整體研究發展。
摘要(英) Technology-enhanced learning (TEL) is an innovation as well as a disruption to conventional learning mechanisms in universities and colleges. To further understand its development from the perspective of academic communities, a hybrid bibliometric approach that combines both direct citation network analysis and text analytics was proposed to examine the related research articles retrieved from the Web of Science database. In addition to visual analytics on the TEL research, we used a direct citation network approach with cluster analysis to delineate the historiographic development of the TEL research domain and separate these articles into five main streams of development. Then, we summarized the accumulated state of knowledge by highlighting the essential subgroup topics in each stream by latent semantic analysis. Our extraction of the key features of the research domain, including the principal streams of development, associated subgroup topics, and a critical article list, contributes a systematic method to enable the deep comprehension of the overall research development of the TEL in higher education.
關鍵字(中) ★ 科技增進學習
★ 文獻分析
★ 直接引用網絡
★ 主題分析
★ 潛在語意分析
關鍵字(英) ★ technology-enhanced learning
★ bibliometric analysis
★ direct citation network
★ topic analysis
★ latent semantic analysis
論文目次 目錄
中文摘要 III
ABSTRACT IV
誌謝 V
表目錄 VII
圖目錄 VIII
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
第二章 文獻探討 5
2.1 文獻分析的應用 5
2.2 科技增進學習在高等教育的應用 9
第三章 研究方法 17
3.1 資料蒐集 17
3.2 直接引用網絡分析 18
3.3 主題分析 20
第四章 研究結果 24
4.1 科技增進學習在高等教育應用之研究論文統計 24
4.2 直接引用網絡分析 28
4.3 主題分析 38
第五章 結論 47
5.1 研究結論 47
5.2 研究限制及未來研究方向 50
參考資料 51
參考文獻 Abdullah, F., & Ward, R. (2016). Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors. Computers in Human Behavior, 56, 238-256.
Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students′ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios. Computers in Human Behavior, 63, 75-90.
Acedo, F. J., Barroso, C., Casanueva, C., & Galán, J. L. (2006). Co‐authorship in management and organizational studies: An empirical and network analysis. Journal of Management Studies, 43(5), 957-983.
Adiguzel, T., Varank, I., Erkoc, M. F., & Buyukimdat, M. K. (2017). Examining a web-based peer feedback system in an introductory computer literacy course. Eurasia Journal of Mathematics Science and Technology Education, 13(1), 237-251.
Akcayir, G. (2017). Why do faculty members use or not use social networking sites for education? Computers in Human Behavior, 71, 378-385.
Al-Adwan, A. S., Al-Madadha, A., & Zvirzdinaite, Z. (2018). Modeling students′ readiness to adopt mobile learning in higher education: An empirical study. International Review of Research in Open and Distributed Learning, 19(1), 221-241.
Al-Rahmi, W. M., Othman, M. S., & Yusuf, L. M. (2015). The role of social media for collaborative learning to improve academic performance of students and researchers in Malaysian higher education. International Review of Research in Open and Distributed Learning, 16(4), 177-204.
Alavi, M. (1994). Computer-mediated collaborative learning: An empirical evaluation. MIS Quarterly, 18(2), 159-174.
Aleixandre-Tudó, J. L., Castelló-Cogollos, L., Aleixandre, J. L., & Aleixandre-Benavent, R. (2018). Bibliometric and social network analysis in scientific research on precision agriculture. Current Science, 115(9), 1653-1667.
Aparicio, F., De Buenaga, M., Rubio, M., & Hernando, A. (2012). An intelligent information access system assisting a case based learning methodology evaluated in higher education with medical students. Computers & Education, 58(4), 1282-1295.
Aparicio, F., Morales-Botello, M. L., Rubio, M., Hernando, A., Munoz, R., Lopez-Fernandez, H., . . . de Buenaga, M. (2018). Perceptions of the use of intelligent information access systems in university level active learning activities among teachers of biomedical subjects. International Journal of Medical Informatics, 112, 21-33.
Awais, Q. M., Saeed, U. H., Radi, A. N., & Miltiadis, L. (2017). Human behavior analysis in the production and consumption of scientific knowledge across regions: A case study on publications in Scopus. Library Hi Tech, 35(4), 577-587.
Becker, H. J., & Ravitz, J. L. (1999). The influence of computer and Internet use on teachers′ pedagogical practices and perceptions. Journal of Research on Computing in Education, 31(4), 356-384.
Bennett, S., Agostinho, S., & Lockyer, L. (2015). Technology tools to support learning design: Implications derived from an investigation of university teachers′ design practices. Computers & Education, 81, 211-220.
Bennett, S., Agostinho, S., & Lockyer, L. (2017). The process of designing for learning: Understanding university teachers′ design work. Etr&D-Educational Technology Research and Development, 65(1), 125-145.
Bennett, S., Bishop, A., Dalgarno, B., Waycott, J., & Kennedy, G. (2012). Implementing Web 2.0 technologies in higher education: A collective case study. Computers & Education, 59(2), 524-534.
Blau, I., & Shamir-Inbal, T. (2017). Re-designed flipped learning model in an academic course: The role of co-creation and co-regulation. Computers & Education, 115, 69-81.
Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet Allocation. Journal of Machine Learning Research, 3, 993-1022.
Blin, F., & Munro, M. (2008). Why hasn′t technology disrupted academics′ teaching practices? Understanding resistance to change through the lens of activity theory. Computers & Education, 50(2), 475-490.
Borup, J., West, R. E., & Thomas, R. (2015). The impact of text versus video communication on instructor feedback in blended courses. Etr&D-Educational Technology Research and Development, 63(2), 161-184.
Broadbent, J. (2017). Comparing online and blended learner′s self-regulated learning strategies and academic performance. Internet and Higher Education, 33, 24-32.
Chang, C. T., Hajiyev, J., & Su, C. R. (2017). Examining the students′ behavioral intention to use e-learning in Azerbaijan? The General Extended Technology Acceptance Model for E-learning approach. Computers & Education, 111, 128-143.
Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education, 59(3), 1054-1064.
Chow, J., Tse, A., & Armatas, C. (2018). Comparing trained and untrained teachers on their use of LMS tools using the Rasch analysis. Computers & Education, 123, 124-137.
Chu, T. H., & Chen, Y. Y. (2016). With good we become good: Understanding e-learning adoption by theory of planned behavior and group influences. Computers & Education, 92-93, 37-52.
Cidral, W. A., Oliveira, T., Di Felice, M., & Aparicio, M. (2018). E-learning success determinants: Brazilian empirical study. Computers & Education, 122, 273-290.
Clegg, S., Hudson, A., & Steel, J. (2003). The emperor′s new clothes: Globalisation and e-learning in higher education. British Journal of Sociology of Education, 24(1), 39-53.
Cohen, W. M., Nelson, R. R., & Walsh, J. P. (2002). Links and impacts: The influence of public research on industrial R&D. Management science, 48(1), 1-23.
Dariel, O. P. D., Wharrad, H., & Windle, R. (2013). Exploring the underlying factors influencing e-learning adoption in nurse education. Journal of Advanced Nursing, 69(6), 1289-1300.
Dupuis, J., Coutu, J., & Laneuville, O. (2013). Application of linear mixed-effect models for the analysis of exam scores: Online video associated with higher scores for undergraduate students with lower grades. Computers & Education, 66, 64-73.
El-Hussein, M. O. M., & Cronje, J. C. (2010). Defining mobile learning in the higher education landscape. Educational Technology & Society, 13(3), 12-21.
El-Masri, M., & Tarhini, A. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Etr&D-Educational Technology Research and Development, 65(3), 743-763.
Estabrooks, C. A., Winther, C., & Derksen, L. (2004). Mapping the field: A bibliometric analysis of the research utilization literature in nursing. Nursing Research, 53(5), 293-303.
Esterhuizen, H. D., Blignaut, S., & Ellis, S. (2013). Looking out and looking in : Exploring a case of faculty perceptions during E-Learning staff development. International Review of Research in Open and Distance Learning, 14(3), 59-80.
Evans, C. (2008). The effectiveness of m-learning in the form of podcast revision lectures in higher education. Computers & Education, 50(2), 491-498.
Fernandez, V., Simo, P., & Sallan, J. M. (2009). Podcasting: A new technological tool to facilitate good practice in higher education. Computers & Education, 53(2), 385-392.
Findik-Coskuncay, D., Alkis, N., & Ozkan-Yildirim, S. (2018). A structural model for students′ adoption of learning management systems: An empirical investigation in the higher education context. Educational Technology & Society, 21(2), 13-27.
Garfield, E. (2004). Historiographic mapping of knowledge domains literature. Journal of Information Science, 30(2), 119-145.
Garfield, E., Pudovkin, A. I., & Istomin, V. S. (2003). Why do we need algorithmic historiography? Journal of the American Society for Information Science and Technology, 54(5), 400-412.
Gay, G. H. E. (2016). An assessment of online instructor e-learning readiness before, during, and after course delivery. Journal of Computing in Higher Education, 28(2), 199-220.
Germany, L. (2012). Beyond lecture capture: What teaching staff want from web-based lecture technologies. Australasian Journal of Educational Technology, 28(7), 1208-1220.
Grant, J., Cottrell, R., Cluzeau, F., & Fawcett, G. (2000). Evaluating “payback” on biomedical research from papers cited in clinical guidelines: Applied bibliometric study. BMJ, 320(7242), 1107-1111.
Gruzd, A., Haythornthwaite, C., Paulin, D., Gilbert, S., & del Valle, M. E. (2018). Uses and gratifications factors for social media use in teaching: Instructors′ perspectives. New Media & Society, 20(2), 475-494.
Gunasekaran, A., McNeil, R. D., & Shaul, D. (2002). E‐learning: Research and applications. Industrial and Commercial Training, 34(2), 44-53.
Halic, O., Lee, D., Paulus, T., & Spence, M. (2010). To blog or not to blog: Student perceptions of blog effectiveness for learning in a college-level course. Internet and Higher Education, 13(4), 206-213.
Hanson, J. (2009). Displaced but not replaced: The impact of e-learning on academic identities in higher education. Teaching in Higher Education, 14(5), 553-564.
Hassan, S.-U., Haddawy, P., & Zhu, J. (2014). A bibliometric study of the world’s research activity in sustainable development and its sub-areas using scientific literature. Scientometrics, 99(2), 549-579.
Heilesen, S. B. (2010). What is the academic efficacy of podcasting? Computers & Education, 55(3), 1063-1068.
Hemmi, A., Bayne, S., & Land, R. (2009). The appropriation and repurposing of social technologies in higher education. Journal of Computer Assisted Learning, 25(1), 19-30.
Hill, J., Nelson, A., France, D., & Woodland, W. (2012). Integrating podcast technology effectively into student learning: A reflexive examination. Journal of Geography in Higher Education, 36(3), 437-454.
Hill, J., & Nelson, A. (2011). New technology, new pedagogy? Employing video podcasts in learning and teaching about exotic ecosystems. Environmental Education Research, 17(3), 393-408.
Holbrook, J., & Dupont, C. (2011). Making the decision to provide enhanced podcasts to post-secondary science students. Journal of Science Education and Technology, 20(3), 233-245.
Hung, H. T., & Yuen, S. C. Y. (2010). Educational use of social networking technology in higher education. Teaching in Higher Education, 15(6), 703-714.
Jump, L. (2011). Why university lecturers enhance their teaching through the use of technology: A systematic review. Learning, Media and Technology, 36(1), 55-68.
Kavuluru, R., & Sabbir, A. (2016). Toward automated e-cigarette surveillance: Spotting e-cigarette proponents on Twitter. Journal of Biomedical Informatics, 61, 19-26.
Kay, R., & Kletskin, I. (2012). Evaluating the use of problem-based video podcasts to teach mathematics in higher education. Computers & Education, 59(2), 619-627.
Kennedy, M. J., Alves, K. D., Miciak, J., Romig, J., Mathews, H. M., & Thomas, C. N. (2016). Evaluating the relationship between naturalistic content acquisition podcast views and course performance. Teacher Education and Special Education, 39(4), 293-307.
Kennedy, M. J., Kellems, R. O., Thomas, C. N., & Newton, J. R. (2015). Using content acquisition podcasts to deliver core content to preservice teacher candidates. Intervention in School and Clinic, 50(3), 163-168.
Kennedy, M. J., & Thomas, C. N. (2012). Effects of content acquisition podcasts to develop preservice teachers′ knowledge of positive behavioral interventions and supports. Exceptionality, 20(1), 1-19.
Kennedy, M. J., Thomas, C. N., Aronin, S., Newton, J. R., & Lloyd, J. W. (2014). Improving teacher candidate knowledge using content acquisition podcasts. Computers & Education, 70, 116-127.
Khan, S. H. (2015). Emerging conceptions of ICT-enhanced teaching: Australian TAFE context. Instructional Science, 43(6), 683-708.
Kirkwood, A. (2009). E-learning: You don′t always get what you hope for. Technology Pedagogy and Education, 18(2), 107-121.
Kirkwood, A., & Price, L. (2005). Learners and learning in the twenty-first century: What do we know about students′ attitudes towards and experiences of information and communication technologies that will help us design courses? Studies in Higher Education, 30(3), 257-274.
Kirkwood, A., & Price, L. (2014). Technology-enhanced learning and teaching in higher education: What is ′enhanced′ and how do we know? A critical literature review. Learning Media and Technology, 39(1), 6-36.
Kiteley, R. J., & Ormrod, G. (2009). Towards a team-based, collaborative approach to embedding e-learning within undergraduate nursing programmes. Nurse Education Today, 29(6), 623-629.
Klavans, R., & Boyack, K. W. (2006). Identifying a better measure of relatedness for mapping science. Journal of the American Society for Information Science and Technology, 57(2), 251-263.
Klavans, R., & Boyack, K. W. (2017). Which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge? Journal of the Association for Information Science and Technology, 68(4), 984-998.
Kolb, A. Y., & Kolb, D. A. (2005). Learning styles and learning spaces: Enhancing experiential learning in higher education. Academy of Management Learning & Education, 4(2), 193-212.
Komarraju, M., Karau, S. J., Schmeck, R. R., & Avdic, A. (2011). The Big Five personality traits, learning styles, and academic achievement. Personality and Individual Differences, 51(4), 472-477.
Kowitlawakul, Y., Chan, M. F., Tan, S. S. L., Soong, A. S. K., & Chan, S. W. C. (2017). Development of an e-Learning research module using multimedia instruction approach. Cin-Computers Informatics Nursing, 35(3), 158-166.
Kwon, H., Kim, J., & Park, Y. (2017). Applying LSA text mining technique in envisioning social impacts of emerging technologies: The case of drone technology. Technovation, 60, 15-28.
Landauer, T. K., & Dumais, S. T. (1997). A solution to Plato′s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104(2), 211.
Landauer, T. K., Foltz, P. W., & Laham, D. (1998). An introduction to latent semantic analysis. Discourse Processes, 25(2-3), 259-284.
Lee, B. C., Yoon, J. O., & Lee, I. (2009). Learners′ acceptance of e-learning in South Korea: Theories and results. Computers & Education, 53(4), 1320-1329.
Lee, S. J., Lee, H., & Kim, T. T. (2018). A study on the instructor role in dealing with mixed contents: How it affects learner satisfaction and retention in e-Learning. Sustainability, 10(3), 16.
Lee, Y. H., Hsiao, C., & Purnomo, S. H. (2014). An empirical examination of individual and system characteristics on enhancing e-learning acceptance. Australasian Journal of Educational Technology, 30(5), 562-579.
Li, X., Wu, P., Shen, G. Q., Wang, X., & Teng, Y. (2017). Mapping the knowledge domains of Building Information Modeling (BIM): A bibliometric approach. Automation in Construction, 84, 195-206.
Liang, T.-P., & Liu, Y.-H. (2018). Research landscape of business intelligence and big data analytics: A bibliometrics study. Expert Systems with Applications, 111, 2-10.
Lin, P.-C., Lu, H.-K., & Liu, S.-C. (2013). Towards an education behavioral intention model for e-learning systems: An extension of UTAUT. Journal of Theoretical & Applied Information Technology, 47(3).
Lin, S. J., Zimmer, J. C., & Lee, V. M. (2013). Podcasting acceptance on campus: The differing perspectives of teachers and students. Computers & Education, 68, 416-428.
Liu, C. C., Lu, K. H., Wu, L. Y., & Tsai, C. C. (2016). The impact of peer review on creative self-efficacy and learning performance in Web 2.0 learning activities. Educational Technology & Society, 19(2), 286-297.
Llados-Masllorens, J., Aibar, E., Meseguer-Artola, A., Minguillon, J., & Lerga, M. (2017). Explaining teaching uses of Wikipedia through faculty personal and contextual features. Online Information Review, 41(5), 728-743.
Lloyd, S. A., & Robertson, C. L. (2012). Screencast tutorials enhance student learning of statistics. Teaching of Psychology, 39(1), 67-71.
Lochan Jena, K., Swain, D. K., & Bihari Sahu, S. (2012). Scholarly communication of The Electronic Library from 2003‐2009: A bibliometric study. The Electronic Library, 30(1), 103-119.
Lopez-Perez, M. V., Perez-Lopez, M. C., & Rodriguez-Ariza, L. (2011). Blended learning in higher education: Students′ perceptions and their relation to outcomes. Computers & Education, 56(3), 818-826.
Martinez-Torres, M. R., Marin, S. L. T., Garcia, F. B., Vazquez, S. G., Oliva, M. A., & Torres, T. (2008). A technological acceptance of e-learning tools used in practical and laboratory teaching, according to the European higher education area. Behaviour & Information Technology, 27(6), 495-505.
McGill, T. J., & Hobbs, V. J. (2008). How students and instructors using a virtual learning environment perceive the fit between technology and task. Journal of Computer Assisted Learning, 24(3), 191-202.
Mejia, C., & Kajikawa, Y. (2017). Bibliometric analysis of social robotics research: Identifying research trends and knowledgebase. Applied Sciences, 7(12), 1316.
Merhi, M. I. (2015). Factors influencing higher education students to adopt podcast: An empirical study. Computers & Education, 83, 32-43.
Merigó, J. M., & Yang, J.-B. (2017). A bibliometric analysis of operations research and management science. Omega, 73, 37-48.
Morris, C., & Chikwa, G. (2014). Screencasts: How effective are they and how do students engage with them? Active Learning in Higher Education, 15(1), 25-37.
Motiwalla, L. F. (2007). Mobile learning: A framework and evaluation. Computers & Education, 49(3), 581-596.
Moule, P., Ward, R., & Lockyer, L. (2010). Nursing and healthcare students′ experiences and use of e-learning in higher education. Journal of Advanced Nursing, 66(12), 2785-2795.
Nagy, J. T. (2018). Evaluation of online video usage and learning satisfaction: An extension of the Technology Acceptance Model. International Review of Research in Open and Distributed Learning, 19(1), 160-185.
Newman, M. E. J. (2004). Fast algorithm for detecting community structure in networks. Physical Review E, 69(6), 066133.
Newman, M. E. J., & Girvan, M. (2004). Finding and evaluating community structure in networks. Physical Review E, 69(2), 026113.
Ng, E. M. W. (2014). Using a mixed research method to evaluate the effectiveness of formative assessment in supporting student teachers′ wiki authoring. Computers & Education, 73, 141-148.
Ng, E. M. W. (2016). Fostering pre-service teachers′ self-regulated learning through self- and peer assessment of wiki projects. Computers & Education, 98, 180-191.
Ngai, E. W. T., Poon, J. K. L., & Chan, Y. H. C. (2007). Empirical examination of the adoption of WebCT using TAM. Computers & Education, 48(2), 250-267.
O′Bannon, B. W., Lubke, J. K., Beard, J. L., & Britt, V. G. (2011). Using podcasts to replace lecture: Effects on student achievement. Computers & Education, 57(3), 1885-1892.
Ocak, M. A. (2011). Why are faculty members not teaching blended courses? Insights from faculty members. Computers & Education, 56(3), 689-699.
Ogawa, T., Iyoki, K., Fukushima, T., & Kajikawa, Y. (2017). Landscape of research areas for Zeolites and Metal-Organic Frameworks using computational classification based on citation networks. Materials, 10(12), 1428.
Owston, R., Lupshenyuk, D., & Wideman, H. (2011). Lecture capture in large undergraduate classes: Student perceptions and academic performance. Internet and Higher Education, 14(4), 262-268.
Ozkan, S., & Koseler, R. (2009). Multi-dimensional students′ evaluation of e-learning systems in the higher education context: An empirical investigation. Computers & Education, 53(4), 1285-1296.
Park, S. Y. (2009). An analysis of the Technology Acceptance Model in understanding university students′ behavioral intention to use e-Learning. Educational Technology & Society, 12(3), 150-162.
Piccoli, G., Ahmad, R., & Ives, B. (2001). Web-based virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skills training. MIS Quarterly, 25(4), 401-426.
Porter, W. W., & Graham, C. R. (2016). Institutional drivers and barriers to faculty adoption of blended learning in higher education. British Journal of Educational Technology, 47(4), 748-762.
Prakash, S. S., Muthuraman, N., & Anand, R. (2017). Short-duration podcasts as a supplementary learning tool: Perceptions of medical students and impact on assessment performance. BMC Medical Education, 17, 14.
Price, L., & Kirkwood, A. (2014). Using technology for teaching and learning in higher education: A critical review of the role of evidence in informing practice. Higher Education Research & Development, 33(3), 549-564.
Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of documentation, 25(4), 348-349.
Rienties, B., Brouwer, N., Carbonell, K. B., Townsend, D., Rozendal, A. P., van der Loo, J., . . . Lygo-Baker, S. (2013). Online training of TPACK skills of higher education scholars: A cross-institutional impact study. European Journal of Teacher Education, 36(4), 480-495.
Rinia, E. J., van Leeuwen, T. N., Bruins, E. E. W., van Vuren, H. G., & van Raan, A. F. J. (2002). Measuring knowledge transfer between fields of science. Scientometrics, 54(3), 347-362.
Rodríguez, P., Nussbaum, M., & Dombrovskaia, L. (2012). Evolutionary development: a model for the design, implementation, and evaluation of ICT for education programmes. Journal of Computer Assisted Learning, 28(2), 81-98.
Rodríguez, P., Nussbaum, M., & Dombrovskaia, L. (2012). ICT for education: A conceptual framework for the sustainable adoption of technology-enhanced learning environments in schools. Technology, Pedagogy and Education, 21(3), 291-315.
Roth, P. L., Bobko, P., Van Iddekinge, C. H., & Thatcher, J. B. (2016). Social media in employee-selection-related decisions: A research agenda for uncharted territory. Journal of Management, 42(1), 269-298.
Sabah, N. M. (2016). Exploring students′ awareness and perceptions: Influencing factors and individual differences driving m-learning adoption. Computers in Human Behavior, 65, 522-533.
Salton, G., & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information Processing & Management, 24(5), 513-523.
Sanchez-Franco, M. J. (2010). WebCT - The quasimoderating effect of perceived affective quality on an extending Technology Acceptance Model. Computers & Education, 54(1), 37-46.
Selwyn, N. (2007). The use of computer technology in university teaching and learning: A critical perspective. Journal of Computer Assisted Learning, 23(2), 83-94.
Shen, C. W., Ho, J.T., Ly, P. T. M., & Kuo, T. C. (2018). Behavioural intentions of using virtual reality in learning: Perspectives of acceptance of information technology and learning style. Virtual Reality. doi:10.1007/s10055-018-0348-1
Shen, C. W., & Kuo, C. J. (2015). Learning in massive open online courses: Evidence from social media mining. Computers in Human Behavior, 51, 568-577.
Shibata, N., Kajikawa, Y., Takeda, Y., & Matsushima, K. (2008). Detecting emerging research fronts based on topological measures in citation networks of scientific publications. Technovation, 28(11), 758-775.
Song, Y. J. (2011). What are the affordances and constraints of handheld devices for learning in higher education. British Journal of Educational Technology, 42(6), 163-166.
Steeples, C., Goodyear, P., & Mellar, H. (1994). Flexible learning in higher-education - The use of computer-mediated communications. Computers & Education, 22(1-2), 83-90.
Steeples, C., Unsworth, C., Bryson, M., Goodyear, P., Riding, P., Fowell, S., . . . Duffy, C. (1996). Technological support for teaching and learning: Computer-mediated communications in higher education. Computers & Education, 26(1-3), 71-80.
Sumak, B., & Sorgo, A. (2016). The acceptance and use of interactive whiteboards among teachers: Differences in UTAUT determinants between pre- and post-adopters. Computers in Human Behavior, 64, 602-620.
Tamim, R. M., Bernard, R. M., Borokhovski, E., Abrami, P. C., & Schmid, R. F. (2011). What forty years of research says about the impact of technology on learning: A second-order meta-analysis and validation study. Review of Educational Research, 81(1), 4-28.
Tarhini, A., Hone, K., & Liu, X. H. (2015). A cross-cultural examination of the impact of social, organisational and individual factors on educational technology acceptance between British and Lebanese university students. British Journal of Educational Technology, 46(4), 739-755.
Tarhini, A., Hone, K., Liu, X. H., & Tarhini, T. (2017). Examining the moderating effect of individual-level cultural values on users′ acceptance of E-learning in developing countries: A structural equation modeling of an extended technology acceptance model. Interactive Learning Environments, 25(3), 306-328.
Traxler, J. (2007). Defining, discussing and evaluating mobile learning: The moving finger writes and having writ.... The International Review of Research in Open and Distributed Learning, 8(2).
Valdez, D., Pickett, A. C., & Goodson, P. (2018). Topic modeling: Latent Semantic Analysis for the social sciences. Social Science Quarterly, 99(5), 1665-1679.
van Eck, N. J., & Waltman, L. (2014). CitNetExplorer: A new software tool for analyzing and visualizing citation networks. Journal of Informetrics, 8(4), 802-823.
Viberg, O., & Gronlund, A. (2013). Cross-cultural analysis of users′ attitudes toward the use of mobile devices in second and foreign language learning in higher education: A case from Sweden and China. Computers & Education, 69, 169-180.
Waheed, H., Hassan, S.-U., Aljohani, N. R., & Wasif, M. (2018). A bibliometric perspective of learning analytics research landscape. Behaviour & Information Technology, 37(10-11), 941-957.
Wakefield, J., Frawley, J. K., Tyler, J., & Dyson, L. E. (2018). The impact of an iPad-supported annotation and sharing technology on university students′ learning. Computers & Education, 122, 243-259.
Walls, S. M., Kucsera, J. V., Walker, J. D., Acee, T. W., McVaugh, N. K., & Robinson, D. H. (2010). Podcasting in education: Are students as ready and eager as we think they are? Computers & Education, 54(2), 371-378.
Wang, S. M., Hou, H. T., & Wu, S. Y. (2017). Analyzing the knowledge construction and cognitive patterns of blog-based instructional activities using four frequent interactive strategies (problem solving, peer assessment, role playing and peer tutoring): A preliminary study. Etr&D-Educational Technology Research and Development, 65(2), 301-323.
Wang, Y., Lai, N., Zuo, J., Chen, G., & Du, H. (2016). Characteristics and trends of research on waste-to-energy incineration: A bibliometric analysis, 1999–2015. Renewable and Sustainable Energy Reviews, 66, 95-104.
Wong, K. T., Teo, T., & Goh, P. S. C. (2015). Understanding the intention to use interactive whiteboards: Model development and testing. Interactive Learning Environments, 23(6), 731-747.
Yalcinkaya, M., & Singh, V. (2015). Patterns and trends in Building Information Modeling (BIM) research: A Latent Semantic Analysis. Automation in Construction, 59, 68-80.
Yang, Y. F. (2014). Preparing language teachers for blended teaching of summary writing. Computer Assisted Language Learning, 27(3), 185-206.
Yilmaz, F. G. K., & Keser, H. (2016). The impact of reflective thinking activities in e-learning: A critical review of the empirical research. Computers & Education, 95, 163-173.
Zainuddin, Z., & Halili, S. H. (2016). Flipped classroom research and trends from different fields of study. International Review of Research in Open and Distributed Learning, 17(3), 313-340.
Zamani, B. E., Esfijani, A., & Damaneh, S. M. A. (2016). Major barriers for participating in online teaching in developing countries from Iranian faculty members′ perspectives. Australasian Journal of Educational Technology, 32(3), 38-49.
Zanjani, N., Edwards, S. L., Nykvist, S., & Geva, S. (2016). LMS acceptance: The instructor role. Asia-Pacific Education Researcher, 25(4), 519-526.
Zanjani, N., Edwards, S. L., Nykvist, S., & Geva, S. (2017). The important elements of LMS design that affect user engagement with e-learning tools within LMSs in the higher education sector. Australasian Journal of Educational Technology, 33(1), 19-31.
Zhuge, H. (2006). Discovery of knowledge flow in science. Communications of ACM, 49(5), 101-107.
指導教授 沈建文(Chen-Wen Shen) 審核日期 2019-1-21
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