本研究旨在探討技職學生對「勞工安全衛生展示館」之任務科技適配模式及科技焦慮對於學習成效的影響。研究方法採取問卷調查法，研究對象為公私立高職學生，以便利取樣有效樣本共883人，實施「勞工安全衛生展示科技之任務科技適配與科技焦慮」問卷調查。以描述統計、t檢定、單因子變異數分析以及徑路分析統計後，發現「任務科技適配」對「科技使用滿意」有顯著的影響；對學習績效而言，「任務科技適配」與「科技焦慮」交互影響將影響個人學習績效。本研究發現在高度「科技焦慮」的情況下，即使「任務科技適配」的程度高，科技使用者亦難以達到高學習績效。本研究建議展示館的設計宜朝向減低科技焦慮，以提高參觀者的學習成效。

The purpose of this study is to investigate the influence of Task Technology Fitness and Technology Anxiety on Learning Achievement for visiting Exhibition Hall of Occupational Safety and Health. 883 vocational high school students were selected as samples for questionnaire survey after their visiting Exhibition Hall of OSH. Several statistic methods were used to analyze the effect of Task Technology Fitness, Technology Anxiety to Technology Use Satisfaction and Learning Achievement. There is a significant effect of Technology Fitness to Technology Use Satisfaction. Both Task Technology Fitness and Technology Anxiety are effective to Learning Achievement. But Learning Achievement is less in high Technology Anxiety condition even if Technology Fitness is high enough. Therefore, the policy of environment design of Exhibition Hall can be oriented to reduce Technology Anxiety to improve visitor's Learning Achievement.

壹、中文部分
1. 吳明隆(1996)。國民中小學學生社會心理變因與數學焦慮及數學信念關係之研究。高雄師大教育學刊，12，287-328。
2. 吳明隆、涂金堂。(2007)。SPSS 與統計應用分析(二版)。臺北市：五南出版。
3. 吳明隆(2003)。SPSS 統計應用學習實務：問卷分析與應用統計。臺北市：知城出版。
4. 吳為聖(2007)。影響國中自然科教師使用資訊科技融入教學之意向模式研究。國立彰化師範大學科學教育研究所碩士論文，彰化縣。
5. 林欣怡(2009)。自助服務科技的服務創新對消費者科技接受態度之影響。亞洲大學經營管理學系碩士班論文，臺中縣。
6. 林清山(1992)。心理與教育統計學。臺北市：東華書局。
7. 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。臺北市：五南出版。
8. 邱皓政(2006)。量化研究與統計分析：SPSS中文視窗版資料分析範例解析。臺北市：五南出版。
9. 洪薏珺(2006)。自助式服務科技態度形成探討-以網路下單為例。國立高雄應用科技大學商務經營研究所碩士論文，高雄市。
10. 耿鳳英(2006)。虛與實─新世紀的博物館展示趨勢。博物館學季刊，20(1)，81-96。
11. 張春興(1979)。青少年煩惱與出路。臺北市：東華書局。
12. 陳正昌(2004)。行為及社會科學統計學：統計軟體應用(第三版)。臺北市：巨流出版。
13. 陳玫岑(2001)。物質文化的展示觀。科技博物，5(3)，60-70。
14. 陳建志(2005)。知識管理系統之任務/科技/個人之適配模式探討。臺灣大學資訊管理學研究所，臺北市。
15. 陳建志、陳鴻基、曹承礎(2006)。知識工作者任務與知識管理系統之適配模式。資訊管理學報，13，41-65。
16. 陳穎謙(2011)。沉浸經驗與任務：科技適配模式影響學術成果之研究：以沉浸調整策略為調節變項。國立彰化師範大學工業教育與技術學系碩士論文，彰化市。
17. 勞工安全衛生展示館(2011)。勞工安全衛生展示館各項展示區域及內容簡介。2011年11月28日，取自http://www.tvc.ntnu.edu.tw/node/1
18. 黃逸珊(2010)。影響展覽館採用行動導覽之因素分析。國立中山大學傳播管理研究所碩士論文，高雄市。
19. 楊景堯、林天佑(1983)。佛洛伊德的精神分析理論。載於郭為藩編，人格心理學理論大綱，11-15。臺北市：中正出版。
20. 葉龍海(2009)。以期望符合與任務科技配適探討某公部門人員持續使用內部資訊系統之意圖。靜宜大學資訊碩士在職專班碩士論文，臺中市。
21. 劉佳軒(2006)。個人特質對任務科技適配度及績效之影響。樹德科技大學資訊管理研究所碩士論文，高雄市。
22. 潘慧玲(2004)。教育論文格式。臺北市：雙葉。
23. 賴貞伃(2008)。以科技-績效鏈觀點探討網站個人化服務對個人上網績效影響之研究。國立東華大學企業管理學系碩士論文，花蓮縣。
24. 蘇仕偉(2004)。科技焦慮與生活型態對消費者使用行動商務之影響。佛光人文社會學院資訊學研究所碩士論文，宜蘭縣。
25. 鐘思嘉(1984)。諮商與心理治療—理論與應用。臺北市：大洋出版。

貳、英文部分
1. Bobbitt, L.M. & Dabholkar, P.A. (2001). Integrating attitudinal theories to understand and predict use of technology-based self-service: the Internet as an illustration. International Journal of Service Industry Management, 12(5), 423-450.
2. Cattell, R.B. & Scheier, I.H. (1961). The Meaning and Measurement of Neuroticism and Anxiety. New York：Ronald Press.
3. Chang(2008). Intelligent agent’s technology characteristics applied to online auctions’ task: An combined model of TTF and TAM. Technovation, 28, 564–577.
4. D’Ambra, J. & C. S. Wilson (2004). Use of the World Wide Web for international travel: Integrating the construct of uncertainty in information seeking and the task–technology fit (TTF) model. Journal of the American Society for Information Science and Technology, 55, 731-742.
5. Davis (1989). User acceptance of computer technology：a comparison of two theoretical model. Management Science, 35(8), 982-1002.
6. Davis,F.D. & R.P. Bagozzi & P.R. Warshaw (1992). Extrinsic and intrinsic motivation to use computers in workplace. Applied Social Psychology, 22, 1111-1132.
7. Dennis, A. R., Wixom, B. H., & Vandenberg, R. J. (2001). Understanding Fit and Appropriation Effects in Group Support Systems via Meta-Analysis. MIS Quarterly, 25(2), 167-193.
8. Dishaw M.T., Strong D. M. (1999). Extending the technology acceptance model with task-technology fit constructs. Information and Management, 36(1), 9-21.
9. Goodhue, D. L. (1998). Development and measurement validity of a task-technology fit instrument for user evaluations of. Decision Sciences, 29(1), 105-138.
10. Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213.
11. Goodhue, D. L., Klein, B. D., & March, S. T. (2000). User evaluations of IS as surrogates for objective performance. Information and Management, 38(2), 87-101.
12. Jacob Cohen (1988). Statistical Power Analysis for the Behavioral Sciences (second ed.). Lawrence Erlbaum Associates.
13. Jarupathirun S., Zahedi F. M. (2007). Exploring the influence of perceptual factors in the success of web-based spatial DSS. Decision Support Systems, 43(3), 933-51.
14. Kieran Mathieson & Mark Keil(1998). Beyond the interface:Ease of use and task/technology fit. Information and Mananagement, 34, 221-230.
15. Lee C. C., Cheng H. K., Cheng H. H. (2007). An empirical study of mobile commerce in insurance industry: task-technology fit and individual differences. Decision Support Systems, 43(1), 95-110.
16. Lin et al. (2008). Understanding knowledge management system usage antecedents: An integration of social cognitive theory and task technology fit. Information and Management , 45, 410–417.
17. Lucas, H. C., Jr. (1975). Performance and the use of an information system. Management Science, 21(8), 908-919.
18. Meuter, M. L., Ostrom, A. L., Bitner, M. J. & Roundtree, R. I., (2003). The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of Business Research, 899-906.
19. Nadler , David A. & Michael L. Tushman. (1988). Strategic Organization Design：Concepts, Tools, and Processes. Glenview, Illinois：Scott, Foresman and Company.
20. Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.
21. Pagani(2006). Determinants of adoption of High Speed Data Services in the business market: Evidence for a combined technology acceptance model with task technology fit model. Information and Management, 43, 847–860.
22. Scott C.R. & Rockwell S.C. (1997). The Effect of Communication, Writing, and Technology Apprehension on Likelihood to Use New Communication Technologies. Communication Education, 46, 44-62.
23. Spielberger, C. D., (1966). Anxiety and Behavior, Theory and Research on Anxiety. Orlando, Florida: Academic Press.
24. Staples,D. S. & P. Seddon, (2004). Testing the Technology–to–Performance Chain model. Journal of Organizational and End User Computing, 16, 17-36.
25. Tao et al. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26, 760–767.
26. Thompson, R. L., Higgins, C. A. & Howell, J. M. (1991). Personal computing: Towards a conceptual model of utilization. MIS Quarterly, 14(1), 125-143.
27. Vessey, I. & Galletta D., (1991). Cognitive Fit: an empirical study of Information Acquistion. Information System Research, 2(1), 63-84.
28. Yen et al. (2010). Determinants of users’ intention to adopt wireless technology: An empirical study by integrating TTF with TAM. Computers in Human Behavior, 26, 906–915.
29. Yu, Y. C., Chien, H. C., Lin, Y. C., & Huang, Y. J. (2011). The Performance of Cooperation between Schools and Exhibition Hall of Occupational Safety and Health in Taiwan: School to Work Perspective. Paper presented at XIX World Congress on Safety and Health at Work, Turkey.
30. Zigurs, I. & Buckland, B. K., (1998). A Theory of Task-Technology Fit and Group Support Systems Effectiveness. MIS Quarterly, 313-334.
31. Zigurs, I. & Buckland, B. K., Connolly, J. R. & Wilson, E. V., (1999). A Test of Task Technology Fit Theory for Group Support Systems. The DATA BASE for Advances in Information Systems, 34-50.