研究生: |
曹詠喬 Tsao, Yung-Chiau |
---|---|
論文名稱: |
以 6E 教學模式結合自我效能策略之 AIoT 實作課程對高中生 STEM 職涯興趣、學習成效及行為模式之影響 A Study on the Impact of Using 6E Model combined with the self-efficacy strategies for An AIoT Hands-on Activity to High School Students' STEM Career Interest, Learning Effectiveness and Behavior Pattern |
指導教授: |
蕭顯勝
Hsiao, Hsien-Sheng |
口試委員: |
張義雄
Chang, I-Hsiung 趙貞怡 Chao, Jen-Yi 蕭顯勝 Hsiao, Hsien-Sheng |
口試日期: | 2022/01/24 |
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: | 2023 |
畢業學年度: | 111 |
語文別: | 中文 |
論文頁數: | 148 |
中文關鍵詞: | STEM 教學 、智慧物聯網 、STEM 職涯興趣 、自我效能策略 、6E 教學模式 、行為模式 |
英文關鍵詞: | STEM teaching, Artificial Internet of Things, STEM career self- efficacy, self-efficacy strategies, 6E model, behavior pattern |
研究方法: | 準實驗設計法 |
DOI URL: | http://doi.org/10.6345/NTNU202300481 |
論文種類: | 學術論文 |
相關次數: | 點閱:198 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
教育部(2014)。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。台北:教育部。
教育部(2019)。十二年國民基本教育課程綱要綜合型高級中等學校-科技領域。台北:教育部。
朱耀明(2011)。[動手做]的學習意涵分析-杜威的經驗學習觀點。生活科技教育,44(2),32-43。
李堅萍、游光昭、朱益賢(2008)。國中科技教育運用Teresa M.Amabile工作動機原則與自我效能激發策略之研究。新竹教育大學教育學報,25(2),132-133。
范斯淳、游光昭(2016)。科技教育融入STEM課程的核心價值與實踐。教育科學研究期刊,61(2),153-183。
張仲樸(2020)。運用遊戲化6E模式之物聯網實作課對高中生學習態度、學習成效及行為模式影響之研究(未出版之碩士論文)。國立臺灣師範大學,臺北市。
張芳瑜(2019)。高中生STEM職涯興趣量表之發展與效化(未出版之碩士論文)。國立臺灣師範大學,臺北市。
張春興、林清山(1981)。教育心理學。台北:東華。
許哲瀚、唐憶淨(2008)。遠距居家照護的現況與未來。台灣老年醫學暨老年學雜誌,3(4),272-285。
曾鈺琪(2020)。探討重要生命經驗與國中青少年環境行為之關聯與自然連結之中介效果。科學教育學刊,28(3),223-254。
陳李綢(1991)。個案研究。台北:心理出版社。
陳勇汀(2017)。行為順序檢定:滯後序列分析 /BehaviorAnalysis:Lag Sequential Anaylysis。取自 http://blog.pulipuli.info/2017/10/behavior-analysis-lag-sequential.html
盧雪梅(1998)。實作評量的應許、難題和挑戰。教育資料與研究雙月刊,20,1-5。
湯志民(2018)。智慧校園(Smart Campus)的理念與推展。學校行政,121,125-140。
Andy, F. C. W. (2015). To arouse students' interest in learning: Does inquiry based learning make a difference. In 2015 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, 295-300.
Autenrieth, R., Lewis, C., & Butler-Perry, K. (2017). Long-term impact of the enrichment experiences in engineering summer teacher program. Journal of STEM Education, 18(1), 25-31.
Bahrum, S., Wahid, N., & Ibrahim, N. (2017). Integration of STEM Education in Malaysia and Why to STEAM. International Journal of Academic Research in Business and Social Sciences, 7(6), 645-654.
Bakeman, R., & Gottman, J. M. (1997). Observing interaction. An introduction to sequential analysis. New York, NY: Cambridge University Press.
Bandura, A. (1986). The explanatory and predictive scope of self-efficacy theory. Journal of Social and Clinical Psychology, 4(3), 359-373.
Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: WH Freeman and Company.
Barry, N. B. (2014). The ITEEA 6E learning by byDeSIGN™ model. Technology and Engineering Teacher, 73(6)14-19.
Barton, E. E., & Ledford, J. R. (2018). Effects of reinforcement on peer imitation in a small group play context. Journal of Early Intervention, 40(1), 69-86.
Besemer, S. P. (1998). Creative product analysis matrix: Testing the model structure and a comparison among products--three novel chairs. Creativity Research Journal, 11(4), 333-346.
Besemer, S. P., & O'Quin, K. (1999). Confirming the three-factor creative product analysis matrix model in an American sample. Creativity Research Journal, 12(4), 287-296.
Beatson, N. J., Berg, D. A., & Smith, J. K. (2018). The impact of mastery feedback on undergraduate students’ self-efficacy beliefs. Studies in Educational Evaluation, 59, 58-66.
Blotnicky, K. A., Franz-Odendaal, T., French, F., & Joy, P. (2018). A study of the correlation between STEM career knowledge, mathematics self-efficacy, career interests, and career activities on the likelihood of pursuing a STEM career among middle school students. International Journal of STEM Education, 5(1), 1-15.
Bouma, H., Fozard, J. L., Bouwhuis, D. G., & Taipale, V. T. (2007). Gerontechnology in perspective. Gerontechnology, 6(4), 190-216.
Brown, S. D., & Lent, R. W. (2006). Preparing adolescents to make career decisions: A social cognitive perspective. Adolescence and Education, 5(5), 201-223.
Burke, B. N. (2014). The ITEEA 6E learning byDeSIGN™ model, maximizing informed design and inquiry in the integrative STEM Classroom. Technology and Engineering Teacher, 73 (6), 14-19.
Burke, B. N., Reed, P. A., & Wells, J. G. (2014). Integrating technology and engineering in a STEM context. Exemplary STEM programs: Designs for Success,6(2), 353-372.
Bybee, R. W., Taylor, J. A., Gardner, A., Van Scotter, P., Powell, J. C., Westbrook, A., & Landes, N. (2006). The BSCS 5E instructional model: Origins and effectiveness. Colorado Springs, 5(3), 88-98.
Bybee, R.W. (2013). The case for STEM education: Challenges and opportunities. Arlington, VA: NSTA Press.
Cantrell, P., Pekcan, G., Itani, A., & Velasquez-Bryant, N. (2006). The effects of engineering modules on student learning in middle school science classrooms. Journal of Engineering Education, 95(4), 301-309.
Chan, H. C. Y. & Chan, L. (2018). Smart library and smart campus. Journal of Service Science and Management, 11(4), 543-564.
Chen, J. C., Huang, Y., Lin, K. Y., Chang, Y. S., Lin, H. C., Lin, C. Y., & Hsiao, H. S. (2019). Developing a hands‐on activity using virtual reality to help students learn by doing. Journal of Computer Assisted Learning. 36(1), 46-60
Compeau, S. (2016). The calling of an engineer: High school students' perceptions of engineering (Doctoral dissertation). Retrieved from https://qspace.library.queensu.ca/handle/1974/13924
Cropley, D. H. (2016). Creativity in engineering. In Multidisciplinary contributions to the science of creative thinking (pp. 155-173). Springer, Singapore.
Dabney, KP, Tai, RH, Almarode, JT, Miller-Friedmann, JL, Sonnert, G, Sadler, PM, Hazari, Z. (2012). Out-of-school time science activities and their association with career interest in STEM. International Journal of Science Education, Part B, 2(1), 63-79.
Dale, E. (1969). Audiovisual methods in teaching. NY: Dryden Press.
Danish Technological Institute (2015). “Does Europe Need More STEM Graduates?.” Publications Office of the EU.
Dewey, J. (1938). Experience and education. New York, NY: Macmillan.
Díaz León, C. A., Hincapié Montoya, E. M., Guirales Arredondo, E. A., & Moreno López, G. A. (2016). Design and Development of an Interaction System in Order to be Implemented in a Smart Classroom. Revista EIA, 5(26), 95-109.
Dorph, R., Bathgate, M. E., Schunn, C. D., & Cannady, M. A. (2018). When I grow up: the relationship of science learning activation to STEM career preferences. International Journal of Science Education, 40(9), 1034-1057.
Eguchi, A. (2016). RoboCupJunior for promoting STEM education, 21st century skills, and technological advancement through robotics competition. Robotics and Autonomous Systems, 75(4), 692-699.
English, L. D. (2016). STEM education K-12: Perspectives on integration. International Journal of STEM Education, 3(3), 1-8.
Falco, L. D., Summers, J. J., Bauman, S. (2010). Encouraging mathematics participation through improved self-efficacy: A school counseling outcomes study. Educational Research and Evaluation, 16(4), 529-549.
Feki, M. A., Kawsar, F., Boussard, M., & Trappeniers, L. (2013). The internet of things: the next technological revolution. Computer, 46(2), 24-25.
Fidai, A., Kwon, H., Buettner, G., Capraro, R. M., Capraro, M. M., Jarvis, C., & Verma, S. (2019, October). Internet of things (IoT) instructional devices in STEM classrooms: Past, present and future directions. In 2019 IEEE Frontiers in Education Conference (FIE) (pp. 1-9).
Gan, Z., Hu, G., Wang, W., Nang, H., & An, Z. (2021). Feedback behaviour and preference in university academic English courses: associations with English language self-efficacy. Assessment & Evaluation in Higher Education, 46(5), 740-755.
Guntha, R., Hariharan, B., & Rangan, P. V. (2016). Analysis of echo cancellation techniques in multi-perspective smart classroom. In 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)(pp. 1135-1140).
Gushue, G. V., Clarke, C. P., Pantzer, K. M., Scanlan, K. R. (2006). Self-efficacy, perceptions of barriers, vocational identity, and the career exploration behavior of Latinoa high school students. The Career Development Quarterly, 54(9), 307-317.
Hackett, G., & Betz, N. E. (1981). A self-efficacy approach to the career development of women. Journal of Vocational Behavior, 18, 326-339.
Hashim, H., Ali, M. N., & Samsudin, M. A. (2017). Adapting Thinking Based Learning Approach and 6E Instructional Model in Implementing Green STEM Project. In Proceedings of The International Conference on The Scholarship of Teaching and Learning,5(4), 68-82.
Honey, M., Pearson, G., & Schweingruber, H. A. (Eds.). (2014). STEM integration in K-12 education: Status, prospects, and an agenda for research (Vol. 500). Washington, DC: National Academies Press.
Hou, H. T., Chang, K. E., & Sung, Y. T. (2008). Analysis of problem-solving-based online asynchronous discussion pattern. Journal of Educational Technology & Society, 11(1), 17-28.
Hsiao, H. S., Chang, C. S., Lin, C. Y., Chang, C. C., & Chen, J. C. (2014). The influence of collaborative learning games within different devices on student’s learning performance and behaviours. Australasian Journal of Educational Technology, 30(6), 652-669.
Hsiao, H. S., Lin, Y. W., Lin, K. Y., Lin, C. Y., Chen, J. H., & Chen, J. C. (2019). Using robot-based practices to develop an activity that incorporated the 6E model to improve elementary school students’ learning performances. Interactive Learning Environments, 3(6), 1-15.
Hundhausen C. D., Agrawal A., Agarwal P. (2013). Talking about code: integrating pedagogical code reviews into early computing courses. ACM Trans. Comput. Educ,13, 1-28.
I. Kudenko and A. Gras-Velázquez (2016). “The Future of European STEM Workforce: What Secondary School Pupils of Europe Think About STEM Industry and Careers,”. Science Teaching and Learning, 2(4), 223-236.
J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami(2013). Internet of Things (IoT): A vision, architectural elements, and future directions, Future Generation Computing System, 29(7), 1645-1660.
Jiang, Y. (2021). Learning Goal Orientation, Career Self‐Efficacy, and Career Interest: A Moderated Mediation Model. Journal of Employment Counseling, 58(4), 167-181.
J. Manyika, M. Chui, J. Woetzel, R. Dobbs (2015). Unlocking the potential of the Internet of Things. McKinsey Global Institute, 12-45.
Kolb, D. A. (2014). Experiential learning: Experience as the source of learning and development. FT press.
Komarraju, M., & Nadler, D. (2013). Self-efficacy and academic achievement: Why do implicit beliefs, goals, and effort regulation matter?. Learning and Individual Differences, 25(4), 67-72.
Krause, D., Eyerer, P., Baborie, S., & Parrisius, M. (2016). Teaching natural sciences using the TheoPrax method doubles learning effectiveness. International Journal of Technology and Inclusive Education, 5(1), 779-786.
Kudenko, I., & Gras-Velázquez, À. (2016). The future of european STEM workforce: What secondary school pupils of europe think about STEM industry and careers. In Insights from Research in Science Teaching and Learning (pp. 223-236). Springer, Cham.
Kusmin, M., Saar, M., & Laanpere, M. (2018). Smart schoolhouse—designing IoT study kits for project-based learning in STEM subjects. In 2018 IEEE Global Engineering Education Conference (EDUCON) (pp. 1514-1517).
Lai, C. H., & Chu, C. M. (2016). Development and evaluation of STEM based instructional design: An example of quadcopter Course. In International Symposium on Emerging Technologies for Education (pp. 176-191). Rome: Springer.
Lai, Y. H., Chen, S. Y., Lai, C. F., Chang, Y. C., & Su, Y. S. (2019). Study on enhancing A IoT computational thinking skills by plot image-based VR. Interactive Learning Environments, 8(4), 1-14.
Lampropoulos, G., Siakas, K., Anastasiadis, T. (2019). Internet of Things in the Context of Industry 4.0: An Overview. International Journal of Entrepreneurial Knowledge, 7 (1), 4-19.
Landis, J. R., & Koch, G. G. (1977). An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers. Biometrics, 363-374.
Lee, V., Cohen, S. R., Edgar, L., Laizner, A. M., & Gagnon, A. J. (2006). Meaning-making intervention during breast or colorectal cancer treatment improves self-esteem, optimism, and self-efficacy. Social Science & Medicine, 62(12), 3133-3145.
Lent, R. W., & Brown, S. D. (1996). Social cognitive approach to career development: An overview. The Career Development Quarterly, 44(4), 310-321.
Lent, R. W., Ireland, G. W., Penn, L. T., Morris, T. R., & Sappington, R. (2017). Sources of self-efficacy and outcome expectations for career exploration and decision-making: A test of the social cognitive model of career self-management. Journal of Vocational Behavior, 99(8), 107-117.
Lin, C. L., & Chiang, J. K. (2019). Using 6E Model in STEAM Teaching Activities to Improve University Students’ Learning Satisfaction: A Case of Development Seniors IoT Smart Cane Creative Design. Journal of Internet Technology, 20(7), 2109-2116.
Lin, K. Y., Hsiao, H. S., Williams, P. J., & Chen, Y. H. (2020). Effects of 6E-oriented STEM practical activities in cultivating middle school students’ attitudes toward technology and technological inquiry ability. Science & Technological Education, 38(1), 1-18.
Lou, S. J., Tsai, H. Y., & Tseng, K. H. (2011). STEM online project-based collaborative learning for female high school students. Kaohsiung Normal University Journal, 30(2), 41-61.
Love, T. S., & Deck, A. (2015). The ocean platform engineering design challenge: Flooded with STEM content and practices. Science Scope, 39(3), 33-40.
Luo, T., So, W. W. M., Wan, Z. H., & Li, W. C. (2021). STEM stereotypes predict students’ STEM career interest via self-efficacy and outcome expectations. International Journal of STEM Education, 8(1), 1-13.
(2 Madani, K., AghaKouchak, A., & Mirchi, A.016). Iran’s socio-economic drought: challenges of a water-bankrupt nation. Iranian Studies, 49(6), 997-1016.
Margot, K. C., & Kettler, T. (2019). Teachers’ perception of STEM integration and education: a systematic literature review. International Journal of STEM Education, 6(1), 2-30.
Marjon de Groot. (2002). Multimedia projectors: A key component in the classroom of the future. The Journal of Technological Horizons In Education, 29 (11), 18-19.
Martin-Ramos, P., Lopes, M. J., da Silva, M. M. L., Gomes, P. E., da Silva, P. S. P., Domingues, J. P., & Silva, M. R. (2018). Reprint of ‘First exposure to Arduino through peer-coaching: Impact on students' attitudes towards programming’. Computers in Human Behavior, 80, 420-427.
Mavroudi, A., Divitini, M., Gianni, F., Mora, S., & Kvittem, D. R. (2018, April). Designing IoT applications in lower secondary schools. In 2018 IEEE Global Engineering Education Conference (EDUCON) (pp.1120-1126).
McGraw, K. O., & Wong, S. P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological methods, 1(1), 30-55.
Mellors-Bourne, R., Connor, H., & Jackson, C. (2011). STEM graduates in non-STEM jobs. Research Paper, 30.
Michelle Lui and James D. Slotta (2014). Immersive simulations for smart classrooms: Exploring evolutionary concepts in secondary science. Technology, Pedagogy and Education , 23(1), 57-80.
National Research Council. (2014). STEM integration in K-12 education: Status, prospects, and an agenda for research. National Academies Press.
National Science & Technology Council (2018). Charting a course for success: America’s strategy for STEM education. The Physics Teacher, 57(2), 126-126.
Nusyirwan, Prayetno, Sumantri & Perwira (2020). Engineering Design Process of Arduino Uno-based Smart Classroom Technology. The Journal of Innovation and Technology, 1(2), 72-78.
Pintrich, P. R. (2000). Multiple goals, multiple pathways: The role of goal orientation in learning and achievement. Journal of Educational Psychology, 92(3), 544.
Renbarger, R., & DAVİS, B. (2019). Mentors, self-efficacy, or professional development: Which mediate job satisfaction for new teachers? A regression examination. Journal of Teacher Education and Educators, 8(1), 21-34.
Robertson, R., Germain, L. S., & Ste-Marie, D. M. (2018). The effects of self-observation when combined with a skilled model on the learning of gymnastics skills. Journal of Motor Learning and Development, 6(1), 18-34.
Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., & Harnisch, M. (2015). Industry 4.0: The future of productivity and growth in manufacturing industries. Boston Consulting Group, 9(1), 54-89.
Sahin, A., & Waxman, H. C. (2021). Factors Affecting High School Students’ Stem Career Interest: Findings from A 4-Year Study. Journal of STEM Education: Innovations and Research, 22(3) , 28-55.
Saini, M. K., & Goel, N. (2019). How smart are smart classrooms? A review of smart classroom technologies. ACM Computing Surveys, 52(6), 1-28.
Salavera, C., Usan, P., & Jarie, L. (2017). Emotional intelligence and social skills on self-efficacy in secondary education students. Are there gender differences. Journal of Adolescence, 60(5), 39-46.
Sanders, M. (2009). Integrative STEM education: Primer. The Technology Teacher, 68(4), 20-26.
Sharkey, A., & Sharkey, N. (2012). Gnanny and the robots: ethical issues in robot care for the elderly. Ethics and Information Technology, 14(1), 27-40.
Sheu, H. B., Lent, R. W., Brown, S. D., Miller, M. J., Hennessy, K. D., & Duffy, R. D. (2010). Testing the choice model of social cognitive career theory across Holland themes: A meta-analytic path analysis. Journal of Vocational Behavior, 76(2), 252-264.
Spyropoulou, N., Glaroudis, D., Iossifides, A., & Zaharakis, I. D. (2020). Fostering Secondary Students' STEM Career Awareness through IoT Hands-On Educational Activities: Experiences and Lessons Learned. IEEE Communications Magazine, 58(2), 86-92.
Štuikys, V., & Burbaitė, R. (2018). Smart STEM-driven computer science education—Theory, methodology and robot-based practices. Cham: Springer.
Taylor, K. M., & Betz, N. E. (1983). Applications of self-efficacy theory to the understanding and treatment of career indecision. Journal of Vocational Behavior, 22(1), 63-81.
Todd, R. H., Magleby, S. P., Sorensen, C. D., Swan, B. R., & Anthony, D. K. (1995). A survey of capstone engineering courses in North America. Journal of Engineering Education, 84(2), 165-174.
Torrance, E. P. (1987). Future career image as a predictor of creative achievement in a 22-year longitudinal study. Psychological Reports, 60 (4), 574-560.
Vanhanen, J., & Lehtinen, T. O. (2014). Software engineering problems encountered by capstone project teams. International Journal of Engineering Education, 30(6), 1461-1475.
Van Tuijl, C., & Van der Molen, J. H. W. (2016). Study choice and career development in STEM fields: an overview and integration of the research. International Journal of Technology and Design Education, 26(2), 159-183.
Webb, D. L., & LoFaro, K. P. (2020). Sources of engineering teaching self‐efficacy in a STEAM methods course for elementary preservice teachers. School Science and Mathematics, 120(4), 209-219.
Wells, J. G. (2016). PIRPOSAL model of integrative STEM education: Conceptual and pedagogical framework for classroom implementation. The Technology and Engineering Teacher, 75(6), 12-19.
Zhang, L, & Barnett, M. (2015). How high school students envision their STEM career pathways. Cultural Studies of Science Education, 10(3), 637-656.
Zorn, T. E., Roper, J., Broadfoot, K., & Kay Weaver, C. (2006). Focus groups as sites of influential interaction: Building communicative self-efficacy and effecting attitudinal change in discussing controversial topics. Journal of Applied Communication Research, 34(2), 115-140.