研究生: |
蘇啓鋐 Su, Chi-Hung |
---|---|
論文名稱: |
中學生活科技教師應用數位加工機具以進行實作教學之影響因素 The Influencing Factors of Applying Digital Fabrication Equipment in Hands-on Teaching of Secondary School Living Technology Teachers |
指導教授: |
林坤誼
Lin, Kuen-Yi |
學位類別: |
碩士 Master |
系所名稱: |
科技應用與人力資源發展學系 Department of Technology Application and Human Resource Development |
論文出版年: | 2020 |
畢業學年度: | 108 |
語文別: | 中文 |
論文頁數: | 92 |
中文關鍵詞: | 生活科技 、數位加工機具 、科技接受模型與計畫行為理論整合模式 |
英文關鍵詞: | Technology Education, Digital Fabrication Equipment, Integrated Technology Acceptance Model and Theory of Planned Behavior (C-TAM-TPB) |
DOI URL: | http://doi.org/10.6345/NTNU202000063 |
論文種類: | 學術論文 |
相關次數: | 點閱:263 下載:43 |
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科技的演變隨著時代進步,教學現場各領域對於應用教育科技輔助教學亦日漸普及,而加工機具亦隨著科技進步逐步走向由電腦數值控制的數位加工機具。利用數位加工機具進行實作活動教學儼然逐漸形成一股潮流,因此,教師是否願意使用數位加工機具進行實作教學已成為一項值得探討的問題。研究採用了科技接受模型和計畫行為理論整合模式為理論基礎,以發掘中學生活科技教師應用數位加工機具進行實作教學的行為及其可能的影響因素。研究採用問卷調查法,以106、107、108年度參與科技領域生活科技增能學分班之現職中學生活科技教師,以及上述教師推薦適合本研究之現職教師為研究對象,問卷發放共135份,總計回收有效問卷123份,占總發放量91.1%。將調查蒐集資料採用路徑分析、獨立樣本t檢定與單因子變異數分析等統計方法進行資料分析。其研究結論如下:(1)多數教師對應用數位加工機具進行實作教學抱持正向看法;(2)培養中學生活科技教師的知覺行為控制能力方能有助於促使其落實應用數位加工機具以進行實作教學;(3)男性教師在「認知有用」、「認知易用」、「態度」以及「知覺行為控制」上顯著優於女性教師;(4)校內具備數位加工機具之教師在實際應用數位加工機具進行實作教學的表現顯著優於校內不具備數位加工機具之教師;(5)任教年資在知覺行為控制、行為意圖以及實際應用數位加工機具進行實作教學上達顯著差異。根據結果,針對未來相關教育政策、相關教育訓練以及未來相關研究研提建議。
In recent years, the number of teachers using digital fabrication equip-ment in class has increased. At the same time, with the advancement in digital fabrication equipment, they are gradually moving toward digital processing using the computer numerical control equipment. The use of digital fabrica-tion equipment for class activities has gradually become a trend. Therefore, teachers’ willingness to use digital fabrication equipment in the classroom has become an issue worth discussing.
The purpose of this study is to investigate the application of digital fab-rication equipment for teaching manufacturing technology in living technol-ogy classes in secondary schools and its possible effect on learning, using the combined technology acceptance model and the theory of planned behavior (C-TAM-TPB). A questionnaire was distributed among 135 respondents for the survey. The respondents included teachers who had attended continuing education credit courses in 2017, 2018, and 2019 and the teachers who were recommended by the above teachers for this study. Of the 350 questionnaires, 123 were collected (return rate of 91.1%). The collected data were analyzed using path analysis, independent-samples t-test, and one-way analysis of variance. The findings of the study are as follows: (1) Most teachers have a positive attitude toward digital fabrication equipment; (2) Learning perceived behavior control could help teachers provide high quality education using digital fabrication equipment; (3) Male teachers’ understanding of perceived usefulness, perceived ease of use, and perceived behavior control is better than that of female teachers; (4) Teachers who use digital fabrication equip-ment to teach the application of manufacturing technology in living technol-ogy classes perform significantly better than teachers who do not use the equipment; (5) The teachers’ teaching experience had a significant effect on the perceived behavior control, behavioral intention, and practical application of digital fabrication equipment.
Based on these findings, recommendations to focus on future educa-tional policies, educational training, and academic research were proposed.
一、中文部份
上官百祥(2009)。因應新課綱的生活科技教育教學模式。生活科技教育月刊,42(1),1。
王國川(1998)。計劃行為理論各成份量表之設計、發展與建立-以青少年無 照騎車行為之研究為例。師大學報:教育類,43(2),67-91。
朱耀明(2004)。科技教育與教育科技之關係。生活科技教育月刊,37(6),2-8。
任維廉、呂堂榮、劉柏廷(2009)。科技接受行為模式之整合分析-三個主要模式之比較。資管評論,15(1),101-138。
李隆盛(1993)。橫看成嶺側成峰─「技學」面面觀。技術及職業教育雙月刊,13,18-20。
李隆盛、吳正己、游光昭、周麗瑞、葉家棟、盧秋珍、沈章平(2013)。十二年國民基本教育生活與科技領域綱要內容之前導研究。國家教育研究院「十二年國民基本教育領域綱要內容前導研究」整合型研究報告 (NAER-102-06-A-1-02-09-1-18),臺北市: 教育部國家教育研究院。
余宗樺(2010)。由計畫行為理論分析影響國小教師使用自由軟體之因素-以彰化縣為例。國立臺東大學教育學系教學科技碩士在職專班碩士論文,未出版,台東縣。
余鑑(2003)。工藝教育思想的流變。生活科技教育月刊,36(8),3-11。
吳為聖、張惠博、郭重吉(2007)。影響國中自然科教師接受資訊科技融入教學之個人因素研究。科學教育學刊,15(5),543-563。
呂建億、林坤誼(2014)。績優高中生活科技教師實作教學表徵之研究。中等教育,65(4),14-31。
林人龍(2003)。生活科技課程中設計與製作的學習歷程。教育研究資訊,1(4),3-24。
邵唯晏(2016)。當代建築的逆襲。臺北市:城邦。
林志隆、周士雄(2010)。屏東縣e 化示範點學校教師應用互動式電子白板教學之創新接受度與科技接受度。教學科技與媒體,93,77-94。
林坤誼(2017)。應用 3D 列印技術於 STEM 專題學習活動之分析。中等教育,68(2),83-88。
林坤誼(2018)。臺灣推動自造教育的省思與建議。臺灣教育評論月刊,7(2),6-9。
林湧順(2018)。高中創客教育推廣經驗分享。臺灣教育評論月刊,7(2),44-56。
侯又慈(2013)。以科技接受模式探討高屏區國小音樂教師對電子白板使用意願之研究。國立屏東教育大學音樂學系碩士班論文,未出版,屏東縣。
洪國峰(2010)。臺灣國中階段生活科技課程發展之探討。生活科技教育月刊,43(1),3-18。
國家教育研究院(2014年11月28日)。十二年國民基本教育課程綱要。取自
https://www.naer.edu.tw/ezfiles/0/1000/attach/87/pta_5320_2729842_5
6626.pdf
國家教育研究院(2018年9月20日)。十二年國民基本教育課程綱要 國民中小學暨普通型高級中等學校科技領域。取自https://www.naer.edu.tw/ezfiles/0/1000/attach/52/pta_18529_8438379_60115.pdf
教育部(2016年1月5日)。105年度教育部國民及學前教育署推動高級中等學校3D列印普及培育計畫。取自
http://www.klgsh.kl.edu.tw/ezfiles/1/1001/attach/49/pta_7200_7353445
_83844.pdf
教育部(2018年5月25日)。教育部國民及學前教育署補助試辦國民中小學自造教育示範中心作業要點。取自
https://www.k12ea.gov.tw/ap/edufund_view2.aspx?sn=3e7ad1c4-b310-
47fc-8bf3-3089fd0f58e9
葉盈君(2012年11月1日)。淺談計畫行為理論。國家教育研究院電子報,51。取自
https://epaper.naer.edu.tw/index.php?edm_no=51&content_no=1421
張玉山(2015年11月25日)。建構創客空間實現教育擴大扎根。取自https://www.mdnkids.com/speak/detail.asp?sn=6159
張玉山、周家卉(2018)。Maker 教師的培育與認證。臺灣教育評論月刊,7(3),164-174。
溫嘉榮、李士欣(2003年6月)。教師使用資訊科技於教學之影響因素探究。「第三屆離島資訊技術與應用研討會」發表之論文,澎湖。
楊顓芙(2008)。計畫行為理論主要趨勢之研究-使用文獻共引分析方法。國立交通大學經營管理研究所碩士論文,未出版,新竹市。
楊孟山、林宜玄(2018)。Maker 教育理論與實踐。臺灣教育評論月刊,7(2),29-38。
趙珩宇(2018)。從在地發展而起的Maker教育。臺灣教育評論月刊,7(2),67-70。
劉麗娟、許春峰(2010)。國小教師使用互動式電子白板的意願及影響因素之研究-以新竹市國小為例。資訊科學應用期刊,6(2),121-134。
簡文益(2011)。以科技接受模式探討 Moodle 系統運用於高中職教師教學之研究。國立暨南國際大學課程教學與科技研究所碩士論文,未出版,南投縣。
蕭文龍(2018)。統計分析入門與應用:SPSS中文版+SmartPLS 3(PLS-SEM)。臺北市:碁峰資訊。
二、外文部份
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl, & J. Beckman (Eds.), Action-control: From cognition to be-havior (pp. 11–39). Heidelberg: Springer.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.
Cuieford, J. P. (1965). Fundamental statistics in psychology and education. New York: McGraw Hill.
Comrey, A. L. (1973). A first course in factor analysis. New York, NY: Aca-demic Press.
Chau, P. Y. K., & Hu, P. J. H. (2002). Investigating healthcare profession-als’ decisions to accept telemedicine technology: An empirical test of competing theories. Information & Management, 39(4), 297–311.
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Massachusetts: Institute of Technology
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Man-agement Science, 35(8), 982–1002.
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, 22(14), 1111–1132.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison- Wesly.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Mar-keting Research, 18(1), 39-50.
Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to design and evaluate research in education. New York: McGraw-Hill Humani-ties/Social Sciences/Languages.
Godin, G., & Kok, G. (1996). The theory of planned behavior: A review of its applications to health-related behaviors. American Journal of Health Promotion, 11, 87–98.
Gorsuch, R. L. (1983). Factor analysis. Hillsdale, NJ: Lawrence Erlbaum.
Hacker, M., & Barden, R. (1987). Technology in your world. Albany, NY: Delmar.
Hair, J. F., Anderson, R.E., Tatham, R.L., & Black, W. C. (1992). Multivari-ate data analysis with reading (3rd ed.). New York: Macmillan.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivar-iate Data Analysis (5th ed.). NJ: Prentice Hall.
Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the technology acceptance model using physician acceptance of tele-medicine technology. Journal of Management Information Systems, 16(2), 91–112.
Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alterna-tives. Structural Equation Modeling, 6, 1–55.
Kraft, C. (2014). White House Maker Faire Fact Sheet Has Been Released. Retrieved From
http://makezine.com/2014/06/18/white-house-maker-faire-fact-sheet-ha
s-been-rel eased/
Luhamya, A. N., Bakkabulindi, F. E. K., & Muyinda, P. B. (2017). Using the theory of planned behavior to explain the integration of ICT in teaching and learning by educators in public teacher training colleges in Tanzania. International Journal of Computing & ICT Research, 11(2), 32–52.
Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173–191.
Mukti, N.A. (2000) Computer technology in Malaysia: Teachers’ back-ground characteristics, attitudes and concerns. Electronic Journal of In-formation Science in Developing Countries, 3, 1–13.
Mumtaz, S. (2000). Factors affecting teachers' use of information and com-munications technology: A review of the literature. Journal of Infor-mation Technology for Teacher Education, 9(3), 319–341.
Miranda, H., & Russell, M. (2012). Understanding factors associated with teacher-directed student use of technology in elementary classrooms: A structural equation modeling approach. British Journal of Educational Technology, 43, 652–666.
Morris, M. G. & Venkatesh, V. (2000). Age differences in technology adop-tion decisions: Implications for a changing workforce. Personnel Psy-chology, 53(2), 375–403.
Nunnally, J. C. (1978). Psychometric theory. New York: McGraw-Hill
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.
Paraskeva, F., Bouta, H., & Papagianna, A. (2008). Individual characteristics and computer self-efficacy in secondary education teachers to integrate technology in educational practice. Computer and Education, 50(3), 1084–1091.
Pynoo, B., & van Braak, J. (2014). Predicting teachers’ generative and recep-tive use of an educational portal by intention, attitude and self-reported use. Computers in Human Behavior, 34, 315–322.
Rogers, E. M. (1995). Diffusion of innovations. New York: The Free Press.
Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The theory of rea-soned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Re-search, 15(3), 325–343.
Smerdon, B., Cronen, S., Lanahan, L., Anderson, J., Lannotti, N., & Angeles, J. (2000). Teachers’ tools for the 21st century: A report on teachers' use of technology. Statistical Analysis Report. (Report No. NCES-2000-102). Washington, DC: National Center for Education Sta-tistics. Retrieved from ERIC Database (ED 444 599).
Thompson, R. L., Higgins, C. A., & Howell, J. M.(1991). Personal com-puting: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 125–143.
Taylor, S., & Todd, P. A. (1995a). Assessing IT usage: The role of prior ex-perience. MIS Quarterly, 19(4), 561–570.
Taylor, S., & Todd, P. A. (1995b). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176.
Teo, T., Luan, W. S., & Sing, C. C. (2008). A cross-cultural examination of the intention to use technology between Singaporean and Malaysian pre-service teachers: An application of the technology acceptance model (TAM). Educational Technology and Society, 11(4), 265–280.
Teo, T., Lee, C. B., & Chai, C. S. (2008). Understanding pre-service teachers' computer attitudes: Applying and extending the technology acceptance model. Journal of Computer Assisted Learning, 24(2), 128–143.
Teo, T., & Lee, C. B. (2010). Examining the efficacy of the theory of planned behavior (TPB) to understand pre-service teachers’ intention to use technology. In C. H. Steel, M. J. Keppell, P. Gerbic, & S. Housego (Eds.), Curriculum, technology & transformation for an unknown future. Proceedings ascilite Sydney 2010 (pp. 968–972).
Teo, T., & Tan, L. (2012). The theory of planned behavior (TPB) and pre-service teachers’ technology acceptance: A validation study using structural equation modeling. Journal of Technology and Teacher Edu-cation, 20(1), 89–104.
Teo, T. (2014). Unpacking teachers' acceptance of technology: Tests of measurement invariance and latent mean differences. Computers & Ed-ucation, 75, 127–135.
Venkatesh, V.(2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology ac-ceptance model. Information Systems Research, 11(4), 342–365.
Venkatesh, V., Morris, M. G., & Ackerman, P. L. (2000). A longitudinal field investigation of gender differences in individual technology adoption decision-making processes. Organizational Behavior and Human Deci-sion Processes, 83(1), 33–60.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User ac-ceptance of information technology: Toward a unified view. MIS Quar-terly, 27(3), 425–478.
Yuen, A. H. K., & Ma, W. W. K. (2002). Gender differences in teacher com-puter acceptance. Journal of Technology and Teacher Education, 10(3), 365–382.