一、中文部分
[1]尤乃玉,2010,電子白板融入國小英語合作學習教學效果之研究,致遠管理學院,碩士論文。
[2]王存國,2007,“資訊密度在組織特性與資訊科技角色間的中介性”,第八屆國際資訊管理學術研討會論文集,頁169-176,臺北。
[3]王石番,1991,傳播內容分析法-理論與實證, 幼獅文化事業,臺北。
[4]王玫晴,2006,線上合購之消費者價值認知結構,國立成功大學,碩士論文。
[5]王金國、張新仁,2003,“國小六年級教師實施國語科合作學習之研究”,教育學刊,21卷,頁53-26。[6]王緒溢,2008,互動式電子白板與教學,取自http://etfamily.tp.edu.tw/dhlu888/iwb。
[7]石兆蓮,2002,小組合作解題對國小學生自然與生活科技領域學習成效之影響,國立臺灣師範大學,博士論文。
[8]池文海、劉秀珍、黃增光,2010, “以計畫行為理論為基礎探討資訊系統之行為意向--以空軍後勤資訊系統為例”,空軍學術雙月刊,614期,頁133-152。
[9]吳致維、林建仲,2009,“互動式電子白板在國小教學之探討”,生活科技教育月刊,42卷,6期,頁14-25。
[10]李有仁、張書勳、林俊成,2011,“影音分享網站使用者意圖之研究”,資訊管理學報,18卷,1期,頁53-75。[11]李建億、蔡芳遠,2004, “應用資料探勘技術於網路專題學習活動之分析”,南師學報,38卷,1期,頁1-23。[12]余泰魁、楊淑斐,2005, “線上學習系統使用意向之模式建構與比較分析研究”,台灣管理學刊,5卷,2期,頁311-338。[13]周立勳,1994,國小班級分組合作學習之研究,國立政治大學,博士論文。
[14]周孝俊,2008,互動式電子白板學習活動設計和實驗,國立花蓮教育大學,碩士論文。
[15]林進材,1997,國民小學教師教學思考之研究。國立台灣師範大學,博士論文。
[16]林彩鳳,1993,“淺談教師思考”,南投文教,5期,頁25-28。
[17]林裕淩、鄭麗珍、林芝亘,2008, “以方法目的鏈探求數位學習平台需求之研究”,數位學習科技期刊,1期,頁39-55。[18]林信志、湯凱雯、賴信志,2010,“以科技接受模式探討大學生學習以網路教學系統製作數位教材之意圖和成效”,數位學習科技期刊,2卷,1期,頁60-78。[19]林榮春、邱天佑、林茂雄,2011,“影響網路銀行實際使用行為之研究”,顧客滿意學刊,7卷,1期,頁1-22。[20]林儀惠,2008,互動式電子白板在國小數學教學之探討-以國小數學領域五年級面積單元為例,亞洲大學,碩士論文。
[21]邱皓政,2003,量化研究與統計分析,五南,臺北。
[22]夏榕文,2010,“大學生認知易用性、認知有用性、認知有趣性對數位學習意願之影響--以中華大學為研究對象”, 績效與策略研究,7卷,2期,頁35-47。
[23]梅發廣,2002,國中小學教師對Web-Title 使用意向模式之探討。雲林科技大學,碩士論文。
[24]施賀建,2003,學習風格與方式對學習成效之影響- 以互動式與否為基礎,中原大學,碩士論文。
[25]洪大翔、盧龍泉、何雍慶,2010,“高等教育學生選校決策模式建構之實證研究”, 教育政策論壇,13卷,1期,頁1-43。[26]洪錦沛,1993,“淺談教師思考的一些盲點及策進之道”,南投文教,5期,頁37-42。
[27]郭達沂,2002,以科技接受模型探討失業勞工對公共職業訓練採用線上學習的使用意願,國立中正大學,碩士論文。
[28]郭玉霞,1994,“準教師的思考與師資教育”,教育研究,38期,頁37-43。
[29]秦夢群,1997,教育行政-理論部分,五南,台北。
[30]莊煥銘、王淑娟,2003, “資訊系統採用行為意向之研究-以某大學為例”,商管科技季刊,4卷,3期,頁239-259。
[31]教育部,2008,教育部中小學資訊教育白皮書,取自http://www.edu.tw/files/site_content/B0010/97-100year.pdf。
[32]---------,2011,資訊融入教學創意競賽網站,取自 https://teaching.moe.gov.tw/。
[33]---------,2010,教育部建置中小學優質化均等數位教育環境計畫網,取自http://plan3.erp.moe.gov.tw/。
[34]陳振榮,2002,資訊科技融入國小數學科教學對學童學習成就與態度影響之研究,台中師範學院,碩士論文。
[35]陳惠邦,2006, “互動白板導入教室教學的現況與思考”,全球華人資訊教育創新論壇,臺北。
[36]陳雅玲,2010,合作學習對國中學生學習生物科生殖單元成效的影響,國立中山大學,碩士論文。
[37]陳孟功,2002,校園無線區域網路(WLAN)-科技接受模式(TAM)之研究,國立高雄師範大學,碩士論文。
[38]覃業明,2001,科技接受模型之實證研究-以國內醫療網站為例,國立成功大學,碩士論文。
[39]許文楷、黃秀慧、王彰偉,2004, “影響教師涉入網路教學平台之因素探討”,網路學習理論與應用學術研討會,頁67-72。
[40]許瑞芳、高懿柏、莊雅婷,2011,“應用科技接受模式探討消費者採用電子錢包之因素”, 創新與管理,8卷,1期,頁95-116。[41]黃光雄、簡茂發,1998,教育研究法,師大書苑,台北。
[42]高敬文,2002,質化研究方法論,師大書苑,台北。
[43]劉桂君,2007,未來教室的建置與應用-以英語教學結合電子白板為例,國立中正大學,碩士論文。
[44]湯宗益、廖莉芬,2003, “遠距教學系統之接受度的研究:以遠距教學系統觀為基礎”,中華管理評論,6卷,2期,頁61-80。
[45]蔡克容,1998,“教師思考研究之探析”,台北師院學報,3期,頁161-178。
[46]蔡佳燕、李開菊、車筱慧、黃以敬,2007,電子白板,學習樂趣多,取自http://www.libertytimes.com.tw/2007/new/jun/11/today-life14.htm。
[47]楊國樞、文崇一、吳聰賢、李亦園,1997,社會及行為科學研究法(下冊),東華書局,臺北。[48]楊建民、黃瓊玉、古明泓,2003, “國內外e-learning 發展現況與趨勢之研究”,創新資訊科技政策與數位社會國際學術研討會。
[49]鄭皓元,2006,資訊融入國小數學科教學效益之探究-以六年級面積概念為例,國立臺中教育大學,碩士論文。
[50]鄭惠敏,2008,教師使用互動式電子白板於自然科教學之教學信念與師生互動個案研究,國立新竹教育大學,碩士論文。
[51]嘉義市教育處,2010,嘉義市市政報導,取自 http://www.cy.edu.tw。
[52]薛雅明,2005,”超媒體學習系統中互動性對系統認知態度、滿意度與學習成效之影響”,南大學報,39卷,1期,頁175-192。
[53]羅明華,1997,“教學研究之典範及未來發展趨勢”,教師之友,卷36,4期,頁16-22。
[54]簡妙娟,2000,高中公民科合作學習教學實驗之研究,國立高雄師範大學,博士論文。
[55]簡紅珠,1988,“教師思考之研究與師範教育”,國教世紀,23卷,3期,頁22-25+47。
[56]簡紅珠,1992,教學研究的主要派典及啟示之探析,復文,高雄。
[57]顏菀廷,2007,應用互動式電子白板融入國小數學教學成效之探究,國立臺北教育大學,碩士論文。
[58]嚴秀茹、李有仁、蕭丞傑、李國書,2006, “顧客關係利益之階層探析:方法目的鏈之應用”,管理評論,25卷,1期,頁95-119。[59]鄒景平,2006,“數位學習的四項要素”,研習論壇月刊,71期,頁24-29。
二、英文部分
[1]Allen, B., & Merrill, M., 1985, “System assigned strategies and CBI”, Journal of Educational Computing Research, vol. 1, no. 1, pp. 3-21.
[2]Ajzen, I., 1985, From Intentions to Actions: A Theory of Planned Behavior. Action-Control: From Cognition to Behavior, Springer, Heidelberg.
[3]Ajzen, I., 1988, Attitudes, Personality, and Behavior, Open University Press, Milton-Keynes.
[4]Ajzen, I., 2002, “Perceived behavioral control, self efficacy, locus of control, and the Theory of Planned Behavior”, Journal of Applied Social Psychology, vol. 32, no. 4, pp. 665-683.
[5]Andersson, B. E., & Nilsson, S. G., 1964, “Studies in the Reliability and Validity of the Critical Incident Technique”, Journal of Applied Psychology, vol. 48, no. 6, pp. 398-403.
[6]Aschmoneit, P., & Heitmann, M., 2003, “Consumers cognition towards communities: Customer-centred community design using the means-end chain perspective”, The Hawaii International Conference On System Sciences, Big Island, Hawaii.
[7]Bandura, A., 1977, Social Learning Theory, Prentice Hall, Englewood Cliffs, New Jersey.
[8]Bandura, A., 1978, “Reflections on self-efficacy”, Advances in behavioral research and therapy, vol. 1, pp. 237-269.
[9]Bandura, A., 1982, “Self-efficacy Mechanism in Human Agency”, American Psychologist, vol. 37, no. 2, pp. 122-147.
[10]Bandura, A., 1986, Social Foundations of Thought and Action, Prentice Hall, Englewood Cliffs, New Jersey.
[11]Benham, H. C., & Raymond, B. C., 1996, “Information technology adoption: Evidence from a voice mail introduction”, ACM SIGCPR Computer Personnel, vol. 17, no. 1, pp. 3-25.
[12]Borsook, T. K., Higginbotham-Wheat, & Nancy, 1991, “Interactivity: What Is It and What Can It Do for Computer-Based Instruction?”, Educational Technology, vol. 33, no. 10, pp. 11-17
[13]Branzburg, J., 2007, “Whiteboards at Your Service”, Technology & Learning, vol. 28, pp. 38-39.
[14]Brooks, C., Greer, J., Melis, E., & Ullrich,C., 2006, Combining ITS and eLearning Technologies: Opportunities and Challenges, access from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.6424.
[15]Caldhead, J., 1989,“Reflective teaching and teacher education”, Teaching and Teacher Education, vol. 5, no. 1, pp. 43-51.
[16]Carswell, A. D. , & Venkatesh, V., 2002, “Learner outcomes in an asynchronous distance education environment”, International journal of human-computer studies, vol. 56, pp. 475-494.
[17]Chen, C. D., Fan, Y. W. , & Farn, C. K., 2007, “Predicting Electronic Toll Collection Service Adoption: An Integration of the Technology Acceptance Model and the Theory of Planned Behavior”, Transportation Research Part C: Emerging Technologies, vol. 15, pp. 300-311.
[18]Chen, C.F., Chao, W.H., 2011, “Habitual or reasoned? Using the theory of planned behavior, technology acceptance model, and habit to examine switching intentions toward public transit”, Transportation Research Part F: Psychology and Behaviour, vol. 14, no. 2, pp. 128-137.
[19]Chin, W., Marcolin, B., & Newsted, P., 2003, “A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study”, Information System Research, vol. 24, no. 1, pp. 189-217.
[20]Chin, W. W., 1998, “The Partial Least Squares Approach to Structural Equation Modeling”, In, G. A. M., Modern Methods for Business Research, Lawrence Erlbaum Associates, Mahwah, New York, pp. 295-336.
[21]Chiu, C. M., 2005, “Applying means-end chain theory to eliciting system requirements and understanding users perceptual orientations”, Information & Management, vol. 42, pp. 455–468.
[22]Chou, C., 2003, “Interactivity and interactive functions in web-based learning systems: a technical framework for designers”, British Journal of Educational Technology, vol. 34, no. 3, pp. 265-279.
[23]Chuang, H.-M., & Shen, C.-C., 2008, “A Study on the Applications of Information-sharing Concepts to the Teaching in Elementary School”, 2008 International Conference on Machine Learning and Cybernetics (ICMLC 2008), vol. 1, Kunming, China, pp. 174-179.
[24]Chuang, H.-M., & Shen, C.-C., 2008, “Using an interactive response system in conjunction with interactive whiteboards technology to enhance learning”, Proceeding - 4rd International Conference on Natural Computation, Tsinan, China, pp. 657-661.
[25]Claeys, C., Swinnen, A., & Abeele, P. Vanden, 1995, “Consumers'' means-end chains for "think" and "feel" products”, International Journal of Research in Marketing, vol. 12, no. 3, pp. 193-208.
[26]Clark, C. M., & Peterson, P. L., 1986, “Teachers’ thought processes. In M. C. Wittrock(ed.)”, Handbook of research on teaching (3rd-education), Macmillan, New York.
[27]Compeau, D. R., & Higgins, C. A., 1995, “Computer self-efficacy: Development of a measure and initial test”, MIS Quarterly, vol. 19, no. 2, pp. 189-211.[28]Davis, F. D., 1989, “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS Quarterly, vol. 13, no. 3, pp. 319-340.
[29]Davis, F. D. , Bagozzi R. P. , & Warshaw P. R., 1992, “Extrinsic and intrinsic motivation to use computers in the workplace”, Journal of Applied Social Psychology, vol. 22, pp. 1111-1132.
[30]Davis, F. D., Bagozzi, R. P., & Warshaw, P. R., 1989, “User acceptance of computer technology: a comparison of two theoretical models”, Management Science, vol. 35, no. 8, pp. 982-1003.
[31]Deborah, C., 1991, “Studying teachers'' values”, Clearing House, vol. 64, no. 6, pp. 389.
[32]Denzin, N.K., & Lincoln, Y.S.,1998, The Landscape of Qualitative Research, Sage Publications, London.
[33]Dishawa, M.T. and Strong, D.M., 1999, “Extending the technology acceptance model with task-technology fit constructs”, Information & Management, vol. 36, pp. 9-21.
[34]Drave, W. A., 2000, Teaching online LERN Books, River Falls, Wisconsin.
[35]Ellis, A. K., 2005, Research on educational innovations (Fourth Edition), Eye on Education, Inc, New York.
[36]Fishbein, M , & I. Ajzen., 1975, Believe, Attitude, Intention, and Behavior: An Introduction to Theory and Research, Addison-Wesley Publishing company, Boston, MA.
[37]Fornell, C. R., & Larcker, D. F., 1981, “Structural equation models with unobservablevariables and measurement error”, Journal of Marketing Research, vol. 18, pp. 39-50.
[38]Gage, N. L., 1989, “The paradigm wars and their aftermath-A historical sketch of research on teaching since 1989”, Educational Research, vol. 18, no. 7, pp. 4-10.
[39]Gay, G., 1986, “Interaction of learner control and prior understanding in computer-assisted video instruction”, Journal of Educational Psychology, vol. 78, no. 3, pp. 225-227.
[40]Gay, L. R., & Airasian, P., 2003, Educational research : Competencies for analysis and applications (7th), Prentice-Hall, New Jersey.
[41]Gengler, C. E. , & Reynolds, T. J., 1995, “Consumer Understanding and Advertising Strategy: Analysis and Strategic Translation of Laddering Data”, Journal of Advertising Research, vol. 35, pp. 19-33.
[42]Gefen, D., Straub, D. W. , & Boudreau, M.-C., 2000, “Structural equation modeling and regression: Guidelines for research practice”, Communications of The Association for Information Systems, vol. 4, no. 7, pp. 1-79.
[43]Goodhue, D. L., 1998, “Development and measurement validity of a Task-Technology fit instrument for user evaluations of information systems”, Decision Sciences, vol. 29, no. 1, pp. 105-137.
[44]Grunert, K. G.., & Grunert, S. C., 1995, “ Measuring subjective meaning structures by the laddering method: Theoretical considerations and methodological problems”, International Journal of Research in Marketing, vol. 12, no. 3, pp. 209-225.
[45]Gutman, J., 1982, “A means-end chain model based on consumer categorization processes”, Journal of Marketing, vol. 46, pp. 60–72.
[46]Gutman, J., 1984, “Analyzing Consumer Orientations toward Beverages though Means-End Chain Analysis”, Psychology and Marketing, vol. 1, pp. 23-43.
[47]Gutman , & Miaoulis, 2003, “Communicating a quality position in service delivery: an application in higher education”, Managing Service Quality, vol. 13, no. 2, pp.105-111.
[48]Ha, L., & James, E. L., 1998, “Interactivity reexamined: a baseline analysis of early business web sites”, Journal of Broadcasting and Electronic Media, vol. 42, pp. 457-474.
[49]Haeckel, S. H., 1998, “About the Nature and Future of Interactive Marketing”, Journal of Interactive Marketing, vol. 12, no. 1, pp. 63-71.
[50]Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C., 1992, Multivariate Data Analysis with Readings, MacMillan, New York.
[51] Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C., 1998, Multivariate data analysis, Prentice-Hall, New Jersey.
[52]Hall, I., & Higgins, S., 2005, “Primary school students'' perceptions of interactive whiteboards”, Journal of Computer Assisted learning, vol. 21, pp. 102-117.
[53]Hassan, M. S., 2005, “E-Learning Critical Success Factors: An Exploratory Investigation of Student Perceptions”, IRMA International Conference, California, USA.
[54]Hillman, D. C. A., Willis, D. J., & Gunawardena, C. N., 1994, “Learner-interface interaction in distance education: An extension of contemporary models and strategies for practitioners”, American Journal of Distance Education, vol. 8, no. 2, pp. 30-42.
[55]Hoffman, D. L., & Thomas, P. N., 1996, “Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations”, The Journal of Marketing, vol. 6, no. 3, pp. 50-68.
[56]Hofstede,F.T., Audenaert, A., Steenkamp, J.E.M., & Wedel, M., 1998, “An Investigation into the Association Pattern Technique as a Qualitative Approach to Measuring Means-End Chains”, International Journal of Research in Marketing, vol. 15, pp. 37-50.
[57]Holsti, O. R., 1969, Content analysis for the social sciences and humanities, MA: Addison-Wesley Publishing Company.
[58]Howe, K., 1988, “Against the quantitative-qualitative incompatibility thesis, or dogmas die hard”, Educational Research, vol. 17, no. 8, pp. 10-16.
[59]Hufnagel, E.M., & Conca, C., 1994, “User response data: the potential for errors and biases”, Information Systems Research , vol. 5, pp. 48-73.
[60] Hulland, J., 1999, “Use of partial least squares (PLS) in strategic management research: A review of four recent studies”, Strategic Management Journal, vol. 20, pp. 195-204.
[61]Igbaria, M., Guimaraes, T. , & Davis, G.B., 1995, “Why do individual use computer technology? A finnish case study”, Information & Management, vol. 29, pp. 227-238.
[62]Igbaria, M., S. Parasuraman, & Baroudi, J. J., 1996, “A Motivational Model ofMicrocomputer Usage”, Journal of Management Information Systems, vol. 13, no. 1, pp. 127-143.
[63]Johnson, D. W., & Johnson, R. T., 1987, Learning together and alone: Cooperative, competitive, and individualistic learning (2nd ed.), Prentice-Hall, New York.
[64]Johnson, D. W., & Johnson, R. T., 1992, “ Implementing Cooperative Learning”, Contemporary Education, vol. 63, no. 3, pp. 173-180.
[65]Johnson, R. T., Johnson, D. W., & Stanne, M. B., 2000, Cooperative learning methods: A meta-analysis, access from http://www.co-operation.org.
[66]Jyoti, C., & Kumar, D. Y. , 2004, Analysing the factors of broadband adoption in the household, access from http://is2.lse.ac.uk/asp/aspecis/20040034.pdf.
[67]Kahle, L. R., 1983, Social Values and Social Changes: Adaption to Life in America, Praege, New York.
[68]Kay, J., 2004, “Learner Control”, User Modeling and User-Adapted Interaction, vol. 11, pp. 111-127.
[69]Kelman, H. C., 1958, “Compliance, Identification, and Internalization”, Journal of Conflict Resolution, vol. 2, no. 1, pp. 51-60.
[70]Kennewell, S., & Beauchamp, G., 2007, “The features of interactive whiteboards and their influence on learning, Learning”, Media & Technology, vol. 32, pp. 227-241.
[71]Kettanurak, V., Ramamurthy, K., & Haseman, W. D., 2001, “User attitude as a mediator of learning performance improvement in an interactive multimedia environment: an empirical investigation of the degree of interactivity and learning styles”, Int. J. Human-Computer Studies, vol. 54, pp. 541-583.
[72]Khalifa, A.S., 2004, “Customer value: a review of recent literature and an integrative configuration”, Management Decision, vol. 42, no. 5/6, pp. 645-659.
[73]Koo, D.M., 2006, “The fundamental reasons of e-consumers’ loyalty to an online store”, Electronic Commerce Research and Applications, vol. 5, pp. 117–130.
[74]Krones T, Keller H, Becker A, Sönnichsen A, Baum E, Donner-Banzhoff N., 2010, “The theory of planned behaviour in a randomized trial of a decision aid on cardiovascular risk prevention”, Patient Education and Counseling, vol. 78, no. 2, pp. 169-176.
[75]Kuo, F.-Y., & Young, M.-L., 2008, “Predicting knowledge sharing practices through intention: A test of competing models”, Computers in Human Behavior, vol. 24, pp. 2697–2722.[76]Latham, G. P., & Saari, L. M., 1984, “Do People Do What They Say? Further Studies on the Situational Interview”, Journal of Applied Psychology, vol. 69, no. 4, pp.569-573.
[77]Lee, M.C., 2010, “Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model”, Computers & Education, vol. 54, no. 2, pp. 506-516.
[78]Legris, P., Ingham, J. , & Collerette, P., 2003, “Why do people use information technology? A critical review of the technology acceptance model”, Information & Management, vol. 40, no. 3, pp. 191-204.
[79]Lewis, W., Agarwal, R., & Sambamurthy, V., 2003, “Sources of influence on beliefs about information technology use: an empirical study of knowledge workers”, MIS Quarterly, vol. 27, no. 4, pp. 657-679.
[80]Lincoln, Y. S., & Guba, E. G., 1985, Naturalistic inquiry, Beverly Hills, CA: Sage.
[81]Locke, E.A., & Latham, G.P., 1990, A Theory of Goal Setting & Task Performance, Prentice Hall, Englewood Cliffs, New Jersey.
[82]Malhotra, Y., & Galletta, D., 2005, “A multidimensional commitment model of volitional systems adoption and usage behavior”, Journal of Management Information Systems, vol. 22, no. 1, pp. 117-152.
[83]Malmberg, L. K., 2006, “Goal-orientation and teacher motivation among teacher applicants and student teachers”, Teaching and Teacher Education, vol. 22, pp. 58–76.
[84]McMillan, S. J., & Hwang, J.-S., 2002, “Measures of Perceived Interactivity: An Exploration of the Role of Direction of Commvinication, User Control, and Time in Shaping Perceptions of Interactivity”, Journal of Advertising, vol. 31, no. 3, pp. 29-42.
[85] Medina, M. Q., & Chaparro, J. P., 2007/2008, “The impact of the human element in the information systems quality for decision making and user satisfaction”, The Journal of Computer Information Systems, vol. 48, no. 2, pp. 44-53.
[86]Melone, N. P., 1990, “A theoretical assessment of the user-satisfaction construct in information systems research”, Management Science, vol. 36, no. 1, pp. 76-91.
[87]Merrill, M., Li, Z., & Jones, M., 1990, “The second generation instructional design ”, Educational Technology, vol. 30, no. 2, pp. 7-15.
[88]Meyer, J. P., & Allen, N. J., 1984, “Testing the "side-bet theory" of organizational commitment: Some methodological considerations”, Journal of Applied Psychology, vol. 69, pp. 372-378.
[89]Mitchell, J. C., 1969, Social Networks and Urban Situations, University Press, Manchester, Manchester.
[90]Mitchell, A., 1983, The Nine American Lifestyles, Warner, New York.
[91]Moore, M. G., 1989, “Three types of interaction”, The American Journal of Distance Education, vol. 32, pp. 1-6.
[92]Murphy, C. A., & Owen, S. V., 1989, “Development and validity of the Computer Self-Efficacy Scale”, Educational and Psychological Measurement, vol. 49, pp. 893-899.
[93]Newhagen, J. E., & Rafaeli, S., 1997, “Why communication researchers should study the Internet: A dialogue”, Journal of Communication, vol. 46, no. 1, pp. 4-13.
[94]Nunnally, J., & Bernstein, I., 1978, Psychometric Theory, McGraw-Hill, New York.
[95]Olson J.C., & Reynolds, F., 2001, “The Means-End Approach to Understanding Consumer Decision Making”, Understanding Consumer Decision Making -The Means-End Approach to Marketing and Advertising Strategy, Lawrence Erlbaum Associates, publishers.
[96]Overby, J.W., S.F. Gardial, & R.B., 2004, “Woodruff, French Versus American Consumers’ Attachment of Value to a Product in a Common Consumption Context: A Cross-National Comparison”, Journal of the Academy of Marketing Science, vol. 32, no. 4, pp. 437-460.
[97]Patton, M. Q., 2002, Qualitative research and evaluation methods, Sage Publications, CA.
[98]Pavlou, P. A., & Fygenson, M. , 2006, “Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior”, MIS Quarterly, vol. 30, no. 1, pp. 115-143.
[99] Peterson, R., 2000, “A meta-analysis of variance accounted for and factor loadings in exploratory factor analysis”, Marketing Letters, vol. 11, no. 3, pp. 261-275.
[100]Preece, J., 2001, “Sociability and usability: Twenty years of chatting online”, Behavior and Information Technology Journal, vol. 20, no. 5, pp. 347-356.
[101]Raaij, E. M. v., & Schepers, J. J. L., 2008, “The acceptance and use of a virtual learning environment in China”, Computers & Education, vol. 50, pp. 838-852.
[102]Rafaeli, S., 1988, “Interactivity: From New Media to Communication”, In Robert P. Hawkins, J. M. W. S. P., Ed., Advancing Communication Science: Merging Mass and Interpersonal Processes, Sage Publications, Inc, Newbury Park, California.
[103]Reynolds, T. J., 1985, “Implications for Value Research: A Micro vs. Macro Perspective”, Psychology and Marketing, vol. 2, pp. 297-305.
[104]Reynolds, T. J., Gutman, J., 1988, “Laddering theory, Method, Analysis, and Interpretation”, Journal of Advertising Research, vol. 28, pp. 11-29.
[105]Reynolds, T.J., & Gutman,J., 2001, Advertising Is Image Management. Understanding Consumer Decision Making: The Means-End Approach to Marketingand Advertising Strategy, Mahwah: New Jersey.
[106]Reynolds, T. J., Dethloff, C., & Westberg, S. J., 2001, “Advancements in Laddering” , Understanding Consumer Decision Making: The Means-End Approach to Marketing and Advertising Strategy, Lawrence Erlbaum Associates, publishers.
[107]Rokeach, M., 1968, Beliefs, attitudes, and values: A theory of organization and Change, Jossey-Bass, San Francisco.
[108]Ronan, W. W., & Latham, G. P., 1974, “The Reliability & Validity of the Critical Incident Technique: A Closer Look”, Studies in Personnel Psychology, vol. 6, no. 1, pp. 53-64.
[109]Rogers, E. M., 1995, Diffusion of innovations (4th), The Free Press, New York.
[110]Rokeach, M., 1973, The nature of human values, The Free Press, New York.
[111]Rosenberg, M. J., 1956, “Cognitive structure and attitudinal affect”, The Journal of Abnormal and Social Psychology, vol. 53, pp. 367-372.
[112]Schwartz, S. H., 1994, “Are There Universal Aspects in the Structure and Contents of Human Values? ”, Journal of Social Issues, vol. 50, no. 4, pp.19-45.
[113]Schmid, E. C., 2007, “Enhancing performance knowledge and self-esteem in classroom language learning: The potential of the ACTIVote component of interactive whiteboard technology”, System, vol. 35, pp. 119-133.
[114]Schmid, E. C., 2008, “Using a voting system in conjunction with interactive whiteboard technology to enhance learning in the English language classroom”, Computers & Education, vol. 50, pp. 338-356.
[115]Schnackenberg, H. L., & Sullivan, H. J., 2000, “Learner control over full and lean computerbased instruction under differing ability levels”, Educational Technology Research and Development, vol. 48, no. 2, pp. 19-35.
[116]Sethi, V., & Carraher, S., 1993, “Developing Measures for Assessing the Organizational Impact of Information Technology: A Comment on Mahmood and Soon''s Paper”, Decision Sciences, vol. 24, no. 4, pp. 867-877.
[117]Shen, C.-C., & Chuang, H.-M., 2009, “An investigation on user communication behavior in an interactive whiteboard technology environment”, Wseas Transactions on Communications, vol. 8, no. 1, pp. 184-195.
[118] Shen, C.-C., & Chuang, H.-M., 2010, “Exploring users’ attitudes and intentions toward the Interactive Whiteboard Technology Environment”, International Review on Computers and Software , vol. 5, no. 3, pp. 102-111.
[119]Sims, R., 2002, “Interactivity : A Forgotten Art ?”, Computer in Human Behavior, vol. 13, no. 2, pp. 157-180.
[120]Slavin, R. E., 1991, Student Team Learning: A Practical Guide to Cooperative Learning (Third Edition), National Education Association Professional Library, West Haven.
[121]Slay, H., Siebörger, I., & Hodgkinson-Williams, C., 2008, “Interactive whiteboards: Real beauty or just “lipstick”?”, Computers & Education, vol. 51, no. 3, pp. 1321-1341.
[122]Sun, P. C., Cheng H.K., & Finger G., 2009, “Critical functionalities of a successful e-learning system- An analysis from instructors'' cognitive structure toward system usage”, Decision Support Systems, vol. 48, pp. 293-302.
[123]Taylor, S. , & Todd, P.A., 1995, “Understanding information technology usage:A test of competing models”, Information Systems Research, vol. 6, no. 2, pp. 145-176.[124]Teo, T., Lee, C.B., & Chai, C.S., 2009, “Assessing the Intention to Use Technology among Pre-Service Teachers in Singapore and Malaysia: A Multigroup Invariance Analysis of the Technology Acceptance Model (TAM)”, Computers & Education, vol. 53, n. 3, pp. 1000-1009.
[125]Thompson, R.L., Higgins, C.H. , & Howell, J.M., 1991, “Towards a Conceptual Model of tilization”, MIS Quarterly, vol. 15, no. 1, pp. 125-143.
[126]Tolman, E. C., 1932, Purposive behavior in animals and men, Appleton-Century-Crofts, New York.
[127]Torff, B., & Tirotta, R., 2010, “Interactive whiteboards produce small gains in elementary students’ self-reported motivation in mathematics”, Computers & Education, vol. 54, no. 2, pp. 379-383.
[128]Twomey, A., 2004, “Web-based teaching in nursing: lessons from the literature”, Nurse Education Today, vol. 24, pp. 452-458.
[129]Valette-Florence, P. , & Rapacchi, B., 1991, “Improvements in means-end chain analysis: Using graph theory and correspondence analysis”, Journal of Advertising Research, vol. 31, no. 1, pp. 30-45.
[130]Venkatesh, V. , & Davis, F. D., 2000, “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies”, Management Science, vol. 46, no.2, pp. 186-204.
[131]Venkatesh, V., Morris, M. G., Davis, G. B. , & Davis, F. D., 2003, “User acceptance of information technology: Toward a unified view”, MIS Quarterly, vol. 27, pp. 425-478.
[132]Vrasidas, C., & McIsaac, M., 1999, “Factors influencing interaction in an online course”, American Journal of Distance Education, vol. 13, no. 3, pp. 22-36.
[133]Waheed, M., & Jam, F.A., 2010, “Teacher''s Intention to Accept Online Education: Extended TAM Model”, Interdisciplinary Journal of Contemporary Research in Business, vol. 2, no. 5, pp. 330-344.
[134]Walker, K. N., MacBride, A., & Vachon, M. L. S., 1977, “Social Support Networks and the Crisis of Bereavement”, Social Science and Medicine, vol. 11, no. 1, pp.35-41.
[135]Wang, T. S., 2011, “A conceptual model for assessing the impacts of gender issues on technology education”, International Journal of Organizational Innovation, vol. 3, no. 3, pp. 278-285.
[136]Webb, N. M., 1982, “Student Interaction and Learning in Small Groups”, Review of Educational Research, vol. 52, no. 3, pp. 421-445.
[137]Weber, R. P., 1990, Basic content analysis, 2nd ed, SAGE Publications, Inc., California.
[138]Wold, H., 1985, “Systems analysis by partial least squares”, In P. Nijkamp, L. L., and N. Wrigley , Ed., Measuring the Unmeasurable, Martinus Nijhoff Publishers Dordrecht, pp. 221-251.
[139]Wu, I.L., & Chen, J.L., 2005, “An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study”, International Journal of Human - Computer Studies, vol. 62, no. 6, pp. 784-808.
[140]Yankelovich, D., 1981, New rules: Searching for self-fulfillment in a world turned upside down, Random House, New York.
[141] Yero, J.L., 2002, Teacher’s Mind Resources, access from http://www.TeachersMind.com.