研究生: |
李修銘 Lee Hsiu-Ming |
---|---|
論文名稱: |
發展以VoiceTube學習英語之持續意圖模型之研究 A Study of Developing a Continued Intention Model in Learning English with VoiceTube |
指導教授: |
莊謙本
Chuang, Chien-Pen |
學位類別: |
博士 Doctor |
系所名稱: |
工業教育學系 Department of Industrial Education |
論文出版年: | 2017 |
畢業學年度: | 105 |
語文別: | 中文 |
論文頁數: | 151 |
中文關鍵詞: | 行動影音英語學習 、延展式科技接受模型 、期望確認理論 |
英文關鍵詞: | Learning English with VoiceTube, Extensional Technology Acceptance Model, Expectation Confirmation Theory |
DOI URL: | https://doi.org/10.6345/NTNU202203278 |
論文種類: | 學術論文 |
相關次數: | 點閱:137 下載:19 |
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本研究旨在依據延展式科技接受模型(ETAM)與期望確認理論(ECT)等,建構一個利用VoiceTube進行英語學習持續意圖的模型,以能較完整的解釋學習者使用線上影音學習英語行為,並求得學習者使用線上影音學習英語的關鍵影響因素。因此,所探討的範圍包括線上影音學習者的心理特徵、知覺、滿意度與行為傾向之間的關係。
本研究對象為台灣紅點子科技開發的VoiceTube《看影片學英語》
的使用者,問卷調查共分兩個階段抽樣實施。第一階段共抽樣294 人,有效樣本為266 人,以進行模型信度與效度之驗證;第二階段共抽樣571 人,有效樣本為492人,提供VoiceTube進行英語學習持續意圖的模型建構與驗證。研究工具則依照理論發展「VoiceTube平台之英語學習持續意圖問卷」, 統計分析方法使用描述性統計、最小偏平方法、驗證性因素分析及結構方程模型等方法進行資料統計分析,研究結果發現重點如下:
1.利用VoiceTube學習英語之學習者的「持續意圖」主要受5 個潛在自變項「內容豐富性」、「易用性知覺」、「確認」、「價格價值」與「享樂動機」正向影響及兩個中介變項「有用性知覺」、「滿意度」正向影響。「實際使用行為」則顯著受到「持續意圖」正向影響。
2.本研究模型之整體模型配適度指標,均達到專家學者建議的標準值,顯示本研究模型與其觀測數據具有良好的適配度,亦說明延展式科技接受模型(EATM)及期望確認理論(ECT)適合作為建構線上影音學習模型之理論基礎。
3.在學與非在學之學習者在確認正向影響有用性迴歸路徑中有顯著差異,在學組認為使用VoiceTube學習英語比所預期的更有學習效果,但非在學組則認為與所期待的沒有顯著差異。
The purpose of this study is aimed to develop an English continued learning model based on Extensional Technology Acceptance Model and Expectation Confirmation Theory through using Voicetube website which was developed by REDIDEA CO.,LTD. for learning English. The key influence factors were found to describe the learning behavior intention, psychological characteristics, perception and satisfaction.
The subjects were sampled from VoiceTube users with two-step stratified sampling. The first step selected 294 samples, among them 266 were valid samples. They were used to verify the reliability and validity of questionnaire. The second step selected 571 samples among them 492 samples were valid.
The data collected from questionnaire were analyzed with descriptive statistics including partial least squares, confirmatory factor analysis, as well as structural equation modeling techniques. The research findings are as the followings:
1.The "continued learning intention" of learners of using VoiceTube to learn English was positively influenced by the five potential independent variables such as "content richness", "perceived ease of use", "confirmatory", "price value" and "enjoyment motivation". Two mediation variables including "perceived of usefulness" and "satisfaction" have significant effect to continued learning intention. In addition, "user actual behavior" was significantly affected by "continuous intention".
2.The goodness of fit of statistical model reached the standard value suggested by the experts and scholars. It showed that ETAM and ECT was suitable to construct learners’ continued learning model.
3.There is a significant difference between student group and non-student group on the regression path of confirming usefulness. The “student group” recognized using VoiceTube to learn English was better than expected, but “non-students group” didn’t.
中文文獻
Education First(2015年1月7日)。第五版EF EPI報告。EF留遊學網。取自:http://media2.ef.com/__/~/media/centralefcom/epi/downloads/full-reports/v5/ef-epi-2015-chinese-traditional.pdf
IDC國際數據資訊(2015年1月10日) 。智慧型裝置和BYOD需求持續帶動無線網路設備需求。IDC網。取自http://www.idc.com.tw/about/437.html
丁琴美(2008)。專題製作。台北:碁峰。
王珩(2006)。我國現行外語文化教學之省思。新竹教育大學學報,22,221-241。
行政院人事行政局(2015年1月9日)。為提升公務人員競爭力及國際觀,政府賡續推動各項提升公務人員語言能力措施。國家圖書館網, 取自:http://readopac1.ncl.edu.tw/nclJournal/GetPDF?tid=A06059505&jid=05000129&eid=5e7df16898c7921c594dafbb61bdd413
行政院研究發展考核委員會(2016年1月7日)。 提升國人英語能力建設計畫。行政院政府計畫管理資訊網,取自:http://gpmnet.nat.gov.tw/gpmnet20/UserControl/SubPages/common_DownloadFile.aspx?AP_ID=PPS&AttachmentId=1306
吳旻純 (2011)。自主性線上影音觀看模型對語言學習之影響。生活科技教育月刊,44(4),22-30。
吳旻純(2010a)。多媒體課程管理系統應用之趨勢探討。在科技教育課程改革與發展學術研討會論文集。高雄 : 高雄師範大學。
吳旻純(2010b)。混成學習模型融入英語教學之應用探討,台灣教育傳播暨科技學會2010年國際學術研討會。台北 : 淡江大學。
吳美美(2004)。數位學習現況與未來發展。圖書館學與資訊科學,30(2),92-106。
李忠正 (2015年11月 15 日)。洛杉磯郡政府參訪及美國訓練與發展協會 )(ASTD) 年會研習成果報告。公務出國報告,取自::http://report.nat.gov.tw/ReportFront/report_detail.jspx?sysId=C10201715
李敏智、施浚龍(2015)。線上學習平台對學生提升英文能力之調查研究--以中部某科技大學學生為例。東海大學圖書館館訊,156,71-100
林于婷(2011),以智慧型手機收聽播客學習英語之成效研究(未出版碩士論文)。國立臺灣師範大學,臺北市。
林至誠(2011)。多媒體輔助字彙學習:文獻回顧。師大學報,56(1),1-20。
林吟霞、王彥方(2009)。情境學習在課程與教學中的運用。北縣教育,69,69-72。
林進材(2000)。教學理論與方法。台北市:五南。
吳明隆(2007)。結構方程模型AMOS 的操作與應用。台北:五南。
林益民、余泰魁,2003,線上學習行為傾向模型建構與實證。資訊管理學報,10(1),205-232。
邱皓政(2002)。量化研究與統計分析:SPSS中文視窗版資料分析範例解析。台北市:五南。
姚開屏、陳坤虎(1998)。如何編製一份問卷以「健康相同生活品質」為例。職能治療學會雜誌,16,1-23。
洪子鑫(2010)。汽車維修服務廠服務品質、知覺價值對顧客滿意度與顧客忠誠度之影響(未出版之碩士論文)。南台科技大學,臺南市。
美國教育測驗服務社(2015年1月13日)。2014 年多益測驗全球考生資料統計報告。多益英語測驗網。取自http://www.toeic.com.tw/file/15273004.pdf
美國教育測驗服務社(2015年1月13日)。Test and Score Data Summary for TOEFL iBT Tests。美國教育測驗服務社。取自https://www.ets.org/s/toefl/pdf/94227_unlweb.pdf
胡曉峰、吳玲達、李國輝、老松楊等(1996)。多媒體系統原理與應用。台北:儒林。
徐新逸(1998)。情境學習對教學革新之回應。研習資訊,15(1),16-24。
張武昌(2006)。台灣的英語教育:現況與省思。教育資料與研究雙月刊,69,129-144。
張春興(1991)。現代心理學。臺北:東華。
張耕綸(2011)。電子書持續閱讀行為意圖之研究(未出版碩士論文),逢甲大學,臺中市。
張偉豪(2011),SEM 論文寫作不求人,台北:鼎茂圖書。
張基成、顏啟芳 (2012)。以擴充的科技接受模型探討行動英語學習之接受度。電子商務學報,14(1),97-119。
張鴻昌(2004)。員工對企業內部網路接受度之研究-以中鋼為例(未出版之碩士論文)。國立中山大學,高雄市。
郭明木、賴正杰(2013)。探索數位學習預期效能與結果落差之原因-以電腦輔助英文學習為例。國立屏東教育大學資訊科學系會議論文,屏東市。
陳明星、陳乃華(2012)。一般學生與身心障礙學生在使用數位學習平台之滿意度調查研究-以中部某科技大學為例。朝陽學報,17,89-106。
陳寬裕、王正華(2011)。論文統計分析實務:SPSS 與AMOS 的運用,台北:五南圖書。
陳慶文、黃照貴、謝承芳、翁欲盛(2009)。以模糊語意評估系統探討不同類型電子商務網站之持續使用意圖。第十屆(2009)永續發展管理研討會,17,70-72
湯代祿、韓建俊、邊振興(2007)。網際網路的變革-Web 2.0 理念與設計。臺北:松崗。
黃芳銘(2002),結構方程模型理論與運用,台北:五南圖書。
黃國禎(2015 年 11 月 10 日)。U-Learning 時代的來臨與挑戰。Google搜尋,取自:https://www.google.com.tw/url?sa=t&rct=j&q=&esrc=s&source=web&cd=3&cad=rja&uact=8&ved=0ahUKEwjV5emKuNnQAhWDupQKHehaDLcQFggkMAI&url=http%3A%2F%2Fe-learning-101.blogspot.com%2F2010%2F11%2Fm-learning-u-learning.html&usg=AFQjCNH_uOKe17bof4r3Hre3bqD1CZfdjw&sig2=HjPd56nrxDvETPIM__tcvg 303。
黃國禎、邱瓊慧(2005)。優化學習計劃--高效能實境學習與數位學習整合平台之建置,國立臺南大學技術報告。
楊懿麗譯(1988)。自然教學法(原作者:Krashen, S.D.及Terrel, T. D.)。臺北市:幼獅文化。
葉律妤(2013)。以行動科技輔助大學生英語字彙學習之探索性研究(未出版之碩士論文)。國立高雄第一科技大學,高雄市。
賈義敏 (2009)。多媒體學習的科學探索 –Richard E. Mayer 學術思想研究。現代教育技術,11(19),5-9。
劉忠峰、翁明正、吳欽和、郭光明(2011)。以科技接受模型3探討網路大學系統使用意向之研究。電子商務研究,4(9),44-57。
戴浩一、林麗菊(2011)。我國外語政策之檢討與展望建議書。臺北市:行政院研究發展考核委員會。
英文文獻
Ajzen, I., & Fishbein, M. (2000). Attitudes and the attitude-behavior relation: Reasoned and automatic processes. European Review of Social Psychology, 11(1), 1-33.
Anderson, E. W. & Sullivan, M. W. (1993), The antecedents and consequences of customer satisfaction for firms, Marketing Science, 12(2), 125-143.
Bagozzi, R. P. & Y. Yi. (1988). on the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246.
Bentler, P. M., & Bonnet, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588-606.
Berelson(1952). Content analysis in communication research. New York: The Free Press.
Bhattacherjee, A. & Premkumar, G. (2004). Understanding changes in Belief and attitude toward information technology usage: A theoretical model and longitudinal test,MIS Quarterly 28(2), 229-254.
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quaterly, 25(3), 351-370.
Bollen, K. A. (1989). Structural equations with latent variables, New York: Wiley.
Boomsma, A. (2000), Reporting analyses of covariance structures. Structural Equation Modeling, 7, 461–483.
Borras, I., & Lafayette, R. C. (1994). Effect of multimedia courseware subtitling on the speaking performance of college students of French. The Modern Language Journal, 78, 61-75.
Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18(1), 32-42.
Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. MIS Quarterly, 78,399-426.
Bruner, G. C., & Kumar, A. (2005). Explaining consumer acceptance of handheld Internet devices. Journal of Business Research, 58(5), 553-558.
Burston, J. (2014). MALL: The pedagogical challenges. Computer Assisted Language Learning, 27(4), 344–357.
Byrne (2010). Structural equation modeling using AMOS. Basic concepts, applications, and programming (2nd Ed.). New York: Routledge.
Cameron, P. (2008). Web-enhanced learning with Youtube. Taiwan Journal of TESOL, 5(2) 29-60.
Chen, C. M. & Chung, C. J. (2008). Personalized mobile English vocabulary learning system based on item response theory and learning memory cycle. Computers & Education, 51, 624–645.
Chen, C. M. & Hsu, S. H. (2008). Personalized intelligent mobile learning system for supporting effective english learning. Educational Technology & Society, 13(3), 153-180.
Chin. (1998). The partial least squares approach to structural equation modeling, Modern Methods for Business Research, 295-336.
Churchil, G. A. & Suprenant.(1982). An investigation into the determinants of consumer satisfaction. Journal of Marketing Research, 19, 491-501.
Churchill, D., & Churchill, N. (2008). Educational affordances of PDAs: A study of a teacher's exploration of this technology. Computers & Education, 50(4),1439-1450.
Compeau, D. R. & Higgins, C. A(1995). Computer self-Efficacy: Development of a measure and initial test, MIS Quarterly. 19(2), 189-211.
Connolly, T. M., Stansfield, M., & Hainey, T. (2011). An alternate reality game for language learning: ARGuing for multilingual motivation. Computers & Education, 57(1), 1389-1415.
Danan, M. (2004). Captioning and subtitling: Undervalued language learning strategies. Meta, 49(1), 67- 77.
Davis, F. D., Bagozzi, R. P. & Warshaw, P. R.(1989), User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace1. Journal of Applied Social Psychology, 22(14), 1111-1132.
De Wulf, K., Schillewaert, N., Muylle, S., & Rangarajan, D. (2006). The role of pleasure in website success. Information & Management, 43(4), 434–446.
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers' product evaluations. Journal of marketing research, 28(3),307-319.
Etezadi-Amoli, J. & Farhoomand, A. F. (1996). A structural model of end user computing satisfaction and user performance. Information & Management, 30(2), 65-73.
Falk, R.F. and Miller, N.B(1992). A primer for soft modeling, Akron, OH: University of Akron .
Fazil Abdullah, & Rupert Ward (2016). Developing a General Extended Technology Acceptance Model forE-Learning (GETAMEL) by analysing commonly used external factors. Computers in Human Behavior,56, 238-256
Fishbein, M., & Ajzen, I. (1975). Beliefs, attitude, intentions and behavior: An introduction to theory and research, Addition-Wesley, Boston, MA.
Fisher, T., Pemberton, R., Sharples, M., Ogata, H., Uosaki, N., Edmonds, P., Hull, A., & Tschorn, P. (2009). Mobile learning of vocabulary from reading novels: a comparison of three modes. Institute of Educational Technology, 8, 191-194.
Formell, C. and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research,39-50.
Francis C.Dane (1990). Research methods. California: Brooks/Cole Pub. Co.
Frohberg, D. (2006). Mobile learning is coming of age: What we have and what we still miss. DELFI 2006, Retrieved from http://www.ifi.uzh.ch/pax/uploads/pdf/publication/71/2006_DELFI_Darmstadt_MLearn_Framework.pdf
Griffin, M. M. (1995). You can't get there from here: Situated learning transfer, and map skills. Contemporary Educational Psychology, 20(1), 65-87.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2013). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage.
Hair, J., Anderson, R. and Tatham, R. W. Black. (1998). Multivariate Data Analysis:Upper Saddle River, NJ:Prentice Hall.
Hall, T. & L. Bannon (2006) Designing ubiquitous computing to enhance children’s learning in museums . Journal of Computer Assisted Learning, 22,231-243.
Hayati, A., & Mohmedi, F. (2011). The effect of films with and without subtitles on listening comprehension of EFL learners.British Journal of Educational Technology, 42(1), 181-192.
Hayati, A., & Mohmedi, F. (2011). The effect of films with and without subtitles on listening comprehension of EFL learners. British Journal of Educational Technology, 42(1), 181-192.
Hebert, W. M., & Martin, D. (2004). Why multicollinearity matters: A reexamination of relations between self-efficacy, self-concept, and achievement. Journal of Educational Psychology, 96(3), 518-522.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135.
Hernandez, M. D. (2011). A model of flow experience as determinant of positive attitudes toward online advergames. Journal of Promotion Management, 17(3), 315–326.
Hoyle, R. H. (1995). Structural equation modeling: Concepts, issues and applications. Thousand Oaks:Sage Publications Inc.
Hoyle, R. H., & Panter, A. T. (1995). Writing about structural Equation models. InR. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications. Thousand Oaks, CA:Sage, 158-176.
Intan Dzikria, Ren-Chaen Tzou, and Hsi-Peng Lu(2014). Youtube-like e-learning system: the study of peers influence and enjoyment. The 2014 WEI International Academic Conference Proceedings,149-161
Jackson DL, Gillaspy JA, and Purc-Stephenson R (2009). Reporting practices inconfirmatory factor analysis: An overview and some recommendations. Psychological methods, 14(1), 6-23.
Jaeseok ,Y. (2013). Mobile assisted language learning: eview of the recent applications of emerging mobile technologies. English Language Teaching, 6(7), 20-23.
Jeskog, K. G. (1973). A general method for estimating a linear structural equation system. In A. S. Goldberger & O. D. Duncan (Eds.), Structural Equation Models in the Social Sciences. New York: Seminar.
Jung, Y., Perez-Mira, B., & Wiley-Patton, S. (2009). Consumer adoption of mobile TV: Examining psychological flow and media content. Computers in Human Behavior, 25(1), 12 –129.
Kline, R. (1998). Principles and practice of structural equation modeling. New York: Guilford.
Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford.
Kocoglu, Z. (2010). WebQuests in EFL reading/writing classroom. Procedia - Social and Behavioral Sciences, 2(2), 3524-3527.
Krashen, S. D., & Terrell, T. D. (1983). The natural approach : language acquisition in the classroom (1st ed). New York San: Pergamon .
Lee, D. Y., & Lehto, M. R. (2013). User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model. Computers and Education, 61, 193-208.
Lee, M. K., Cheung, C. M., & Chen, Z. (2005). Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation. Information & management, 42(8), 1095-1104.
Lefievre, V. (2012). Gender differences in acceptance by students of training software for office tools. In Athens: ATINER'S conference paper series, No: EDU2012e0138.
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191-204.
Lin, C. S., Wu, S. and Tsai, R. J. (2005), Integrating perceived playfulness into expectation-confirmation model for web portal context. Information & Management, 42(5), 683-693.
Lindsay, P.H. and Norman, D.A. (1977). Human information processing: An introduction to psychology (2nd ed.). New York: Academic.
Lynn, M. N. (1986). Determination and quantification of content validity. Nursing Research, 35(6), 382-385
MacCallum, R. C., Browne, M. W. & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods,1(2),130-149.
Mardia, K. V. (1985). Mardia’s test of multinormality:Encyclopedia of statistical sciences, New York: Wiley, 217-221.
Martin, R. G. (2012). Factors affecting the usefulness of social networking in elearning at German university of technology in Oman. International Journal of e-Education, e-Business, e-Management and e-Learning, 2(6), 498-502.
Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38 (1), 43-52.
McDonald, R.P., and Ho, M. H. R. (2002), Principles and practice in reportingstructural equation analyses. Psychological Methods, 7, 64–82.
McLellan, H. (1996). Situated learning perspectives. Englewood Cliffs, N.J.: Educational Technology .
Moore, G. C. & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2 (3), 192-222,
Nunnally, J., & Bernstein, I. (1994). Psychometric theory (3rd Ed.). New York:McGraw-Hill.
Oliver, R. L. (1980), A cognitive model of the antecedents and consequences of satisfaction. Journal of Marketing Research ,17(4), 460-469.
Oliver, R. L. and Bearden, W. O. (1985). Disconfirmation processes and consumer evaluations in product usage. Journal of Business Research, 13(3), 495-507.
Olson, Jerry C. and Philip A. Dover (1979), Disconfirmation of consumer expectations through product trail. Journal of Applied Psychology, 64, 179-189.
Park, N., Roman, R., Lee, S., & Chung, J. E. (2009). User acceptance of a digital library system in developing countries: An application of the technology acceptance model. International Journal of Information Management, 29(3), 196–209.
Park, Y., Son, H., & Kim, C. (2012). Investigating the determinants of construction professionals’ acceptance of web-based training: an extension of the technology acceptance model. Automation in Construction, 22, 377–386.
Peng, H., Su, Y.-J., Chou, C., & Tsai, C.-C. (2009). Ubiquitous knowledge construction: Mobile learning re-defined and a conceptual framework. Innovations in Education & Teaching International, 46(2), 171-183.
Piaget, J. (1953). The origins of intelligence in children. New York: Basic Books.
Pinhati, F., & Siqueira, S. W. (2014). Music students’ behavior on using learning objects closer to the domain characteristics and the social reality. Computers in Human Behavior, 30, 760-770.
Powell, K. C. (2006). Educational psychology of the self: An interactive workbook. Dubuque: Kendall Hunt.
Raman, A., & Don, Y. (2013). Preservice teachers’ acceptance of learning management software: An application of the UTAUT2 model. International Education Studies, 6(7), p157.
Richards, J. C., & Rodgers, T. S. (2001). Approaches and methods in language teaching (2nd ed.). New York: Cambridge University .
Roca, J.C., Chiu, C.M. , & Martínez, F.J. (2006), Understanding e-learning continuance intention: An extension of the technology acceptance model. International Journal of Human-Computer Studies, 64(8), 683-696.
Rössler, B., Lahner, D., Schebesta, K., Chiari, A., & Plöchl, W. (2012). Medical information on the Internet: quality assessment of lumbar puncture and neuroaxial block techniques on YouTube. Clinical Neurology and Neurosurgery. Retrieved from http://dx.doi.org/10.1016/j.clineuro.2011.12.048.
Schreiber, J. B., Nora, A., Stage, F. K., Barlow, E. A., and King, J. (2006). Reportingstructural equation modeling and confirmatory factor analysis results: A review. The Journal of Educational Research, 99, 323–337.
Schreiber, J.B. (2008). Core reporting practices in structural equation modeling. Research in Social & Administrative Pharmacy, 4(2), 83-97.
Seppälä, P., & Alamäki, H. (2003). Mobile learning in teacher training. Journal of Computer Assisted Learning, 19(3), 330-335.
Stewart, T. W., & Vaillette, N. (2001). Language files : Materials for an introduction to language & linguistics (8th ed.). Columbus: Ohio State University.
Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics (4th ed.). Boston, MA: Allyn and Bacon.
Talyor, R. P. & Gitsaki, C. (2003) Teaching WELL in a computerless classroom. ComputerAssisted Language Learning, 16(4), 275-294.
Thompson, B. (2004). Exploratory and confirmatory factor analysis: Understanding concepts and applications. Washington, DC: American Psychological Association.
Thompson, R. L., Higgins, C. A. and Howell, J. M.(1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 124-143.
Thong, Y. L., Hong, S. J. and Tam, K. Y.(2006), The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human Computer Studies, 64(9), 799-810.
Thornton, P., & Houser. C. (2005). Using mobile phones in english Education in Japan. Journal of Computer-Assisted Learning, 21, 217-228.
Venkatesh, V. & Morris, M. G. (2000). Why don’t men ever stop to ask for directios : Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24, 115-139.
Venkatesh, V., Morris, M. G., Davis, G. B. & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425-478.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
Vinodh, K., & Mathew, S. K.( 2012). Web personalization in technology acceptance. IEEE 2012 4th International Conference on Intelligent Human Computer Interaction (IHCI), 2, 1-6.
Vygotsky, L. S. (1962). Thought and language. Cambridge, MA: MIT
Warschauer, M. (2000). On-line learning in second language classrooms: An ethnographic study. New York: Cambridge University
Weber, R.P.(1990), Basic content analysis. Newbury Park, CA:Sage Publications.
Westbrook, R. A., & Reilly, M. D. (1983). Value-percept disparity: An alternative to the disconfirmation-of-expectation s theory of consumer satisfaction. Advances in Consumer Research, 10, 256–261.
Williams, M., & Williams, J. (2009). Evaluating a model of business school students' acceptance of web-based course management systems. International Journal of Management Education, 8(3), 59-70.
Winke, P., Gass, S., & Sydorenko, T. (2010). The effects of captioning videos used for foreign language listening activities. Language Learning & Technology, 14(1), 65-86.
Xu, X. (2014). Understanding Users’ Continued Use of Online Games: An Application of UTAUT2 in Social Network Games. MMEDIA 2014, 6,58-65.