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研究生: 洪佳儀
Chia-Yi Hung
論文名稱: 基於自律機制的STEM專題模式對於學生高層次思考與學習成就之影響
Effects of incorporating self-regulated learning into STEM projects on students’ higher-order thinking and learning achievement
指導教授: 黃國禎
Gwo-Jen Hwang
口試委員: 林奇臻
Chi-Jen Lin
朱蕙君
Hui-Chun Chu
楊凱翔
Kai-Hsiang Yang
學位類別: 碩士
Master
系所名稱: 人文社會學院 - 數位學習與教育研究所
Graduate Institute of Digital Learning and Education
論文出版年: 2021
畢業學年度: 109
語文別: 中文
論文頁數: 78
中文關鍵詞: STEM專題式學習自律學習高層次思考問題解決運算思維學習動機
外文關鍵詞: STEM, project-based learning, self-regulation, higher-order thinking, problem-solving, computational thinking, learning motivation
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  • STEM是二十一世紀重要的教育目標。STEM的主要目的在讓學生應用跨領域的知識來解決問題,以促進其高層次思考。然而,在這樣需要高自主的學習活動中,學生可能因缺乏自律能力,而無法有效地進行學習目標及過程的自我管理,亦可能無法應用有效的學習策略來進行學習及解決問題。因此,本研究提出基於自律機制的STEM專題學習模式,透過幫助學生規劃與分析個人的學習進度,以有效地進行STEM專題任務。為了評估所提出方法的有效性,本研究在小學STEM課程採用了準實驗設計;實驗組採用基於自律機制的STEM專題學習模式,而控制組則採用一般的STEM專題模式學習。本研究使用準實驗研究進行分析,測量學生的專題實作學習成就、自律表現、運算思維傾向、問題解決傾向及學習動機。由實驗結果發現,透過基於自律機制的STEM專題學習模式,相較於一般的STEM專題學習模式,更能夠提高學生的學習動機及STEM專題學習成就。另外,在自律能力、運算思維傾向、問題解決傾向方面,兩組則沒有顯著的差異。針對這樣的實驗結果,本研究也進行討論,並提出了未來在教學及研究方面的建議。


    STEM is an important educational goal for the 21st century. The primary goal of STEM is to enable students to apply cross-disciplinary knowledge to solve problems to promote higher-order thinking. However, in such a highly self-directed learning activity, students may not be able to effectively manage their learning goals and processes, and may not be able to apply effective learning strategies to learn and solve problems due to a lack of self-regulation. Therefore, this study aims to incorporate self-regulated learning into STEM projects to help students plan and analyze their learning progress of the projects. To evaluate the effectiveness of the proposed approach, a quasi-experimental design was employed in an elementary school STEM course. The experimental group students learned with the self-regulated learning-based STEM approach, while the control group students learned with conventional STEM approach. The students’ learning achievement, self-regulation, computational thinking tendency, problem-solving tendency, and motivation were measured. The experimental results showed that incorporating self-regulated learning into STEM projects improved students' learning motivation learning achievement compared to the conventional STEM approach. In addition, there was no significant difference between the two groups in terms of self-regulation, computational thinking tendency, and problem-solving tendency. The results of this study were discussed and proposed recommendations for future teaching and research.

    摘要 I Abstract II 目錄 III 圖目錄 VI 表目錄 VIII 第一章 緒論 1 1.1 研究背景與動機 1 1.2 研究目的與問題 2 1.3 名詞釋義 3 1.3.1 STEM教育 3 1.3.2 專題式學習 (Project-based learning) 4 1.3.3自律機制 (Self-Regulation) 4 1.3.4 高層次思考 (Higher-order thinking) 4 1.3.5 自律能力 (Self-regulated competence) 4 1.3.6 運算思維 (Computation thinking) 5 1.3.7 問題解決 (Problem-solving) 5 1.3.8 學習動機 (Learning motivation) 5 1.3.9 學習成就 (Learning achievement) 6 第二章 文獻探討 6 2.1 STEM教育與專題導向式學習(STEM education and projects-based learning) 6 2.2 高層次思考能力(Higher-order thinking skills) 7 2.2.1 自律能力 (Self-regulation) 8 2.2.2 運算思維能力 (Computational thinking) 8 2.2.3 問題解決能力 (Problem-solving) 9 2.3 自律學習(Self-regulated learning) 9 第三章基於自律機制的STEM專題學習模式系統研發 10 3.1 基於自律機制的STEM專題學習模式 11 3.2 教學系統架構 12 3.3 教學系統內容與介面 13 第四章 研究設計 22 4.1 研究架構 23 4.2 研究對象 24 4.3 研究課程 24 4.4 實驗流程 28 4.5 研究工具 33 4.5.1 STEM專題實作學習成就 33 4.5.2 自律能力量表 35 4.5.3 運算思維傾向量表 35 4.5.4 問題解決傾向量表 35 4.5.5 學習動機量表 36 4.5.6 訪談題目 36 4.6 資料處理與分析 36 第五章 研究結果與分析 38 5. 1 STEM專題實作學習成就 39 5. 2 自律能力 39 5. 3 運算思維傾向 40 5. 4 問題解決傾向 41 5.5 學習動機 42 第六章 結論與未來展望 43 6.1 研究結果與討論 44 6.1.1 專題實作學習成就 44 6.1.2 自律能力 45 6.1.3 運算思維傾向 46 6.1.4 問題解決傾向 47 6.1.5 學習動機 48 6.2 研究限制 49 6.3 研究建議 50 6.4 未來展望 52 參考文獻 53 附錄一 STEM專題實作學習成就測驗 59 附錄二 自律能力量表 64 附錄三 運算思維傾向量表 66 附錄四 問題解決傾向量表 67 附錄五 學習動機量表 68 附錄六 訪談題目 69

    Achilles, C. M., & Hoover, S. P. (1996). Transforming Administrative Praxis: The Potential of Problem-Based Learning (PBL) as a School-Improvement Vehicle for Middle and High Schools. (Eric Document Reproduction Service No. ED397471).
    Angeli, C., Giannakos, M. (2020). Computational thinking education: Issues and challenges. Computers In Human Behavior. 105(160185). doi:10.1016/j.chb.2019.106185.
    Atmatzidou, S., Demetriadis, S., Nika, P. (2018). How does the degree of guidance support students' metacognitive and problem solving skills in educational robotics? Journal of Science Education and Technology. 27(1), 70-85.
    Avramides, K., Hunter, J., Oliver, M. and Luckin, R. (2015). A method for teacher inquiry in cross‐curricular projects: lessons from a case study. British Journal of Educational Technology, 46(2), 249–264.
    Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice- Hall, Inc.
    Barak, M., Assal, M.(2016). Robotics and STEM learning: students' achievements in assignments according to the P3 Task Taxonomy-practice, problem solving, and projects. International Journal of Technology and Design Education, 28(1), 121-144.
    Barnard, L., Lan, W.Y., To, Y.M., Paton, V.O. & Lai, S.L. (2009). Measuring self-regulation in online and blended learning environments. The Internet and Higher Education, 12, 1-6.
    Bloom, B.S., Engelhart, M.D., Furst, E.J., Hill, W.H. and Krathwohl, D.R. (1956) Taxonomy of Educational Objectives Handbook I Cognitive Domain. David McKay, NY.
    Blumenfeld, P.C., Soloway, E., Marx, R.W., Krajcik, J.S., Guzdial, M. and Palincsar, A. (1991) ‘Motivating project-based learning: sustaining the doing, supporting the learning’, Educational Psychologist, 26(3–4), 369–398.
    Boddy, N., Watson, K., & Aubusson, P. (2003). A trial of the five Es: A referent model for constructivist teaching and learning. Research in Science Education, 33, 27-42.
    Boekaerts, M., Cascallar, E., (2006) How far have we moved toward the integration of theory and practice in self-regulation? Educational Psychology Review. 18(3), 199–210.
    Bransford, J. D., & Stein, B. S. (1993). The Ideal Problem Solver. New York, NY: W. H. Freeman and Company.
    Bybee, Rodger, W. (2013). What is STEM Education? Science, Vol. 329(5955), pp. 996
    Chen, C. M. (2009). Personalized E-learning system with self-regulated learning assisted mechanisms for promoting learning performance. Expert Systems with Applications. 36(5), 8816-8829.
    Computers & Education, 64, 143–152.
    Dillon, J. (2002). Perspectives on environmental education-related research in science education. International Journal of Science Education, 24, 1111–1117.
    Ehsan, H., Rehmat, A. P., Cardella, M. E. (2020). Computational thinking embedded in engineering design: capturing computational thinking of children in an informal engineering design activity. International Journal Of Technology And Design Education. doi:10.1007/s10798-020-09562-5.
    Erdogan, N., Navruz, B., Younes, R., Capraro, R. M. (2016). Viewing how STEM project-based learning influences students' science achievement through the implementation lens: A latent growth modeling. Eurasia Journal of Mathematics Science and Technology Education. 12(8), 2139-2154.
    Ge, X. & Land, S. M. (2004). A conceptual framework for scaffolding ill-structured problem-solving processes using question prompts and peer interaction. Educational Technology Research and Development, 52(2), 5-22.
    Gonzalez, H.B. and Kuenzi, J.J. (2012) Science, technology, engineering, and mathematics (STEM) education: a primer. CRS Report, (R42642), Congressional Research Service, Library of Congress.
    Hung, C.M., Hwang, G.J. and Huang, I. (2012) A project-based digital storytelling approach for improving students’ learning motivation, problem-solving competence and learning achievement. Educational Technology & Society, 15(4), 368–379.
    Hwang, G. J., Li, K. C., Lai, C. L. (2020). Trends and strategies for conducting effective STEM research and applications: a mobile and ubiquitous learning perspective. Int. J. Mobile Learning and Organisation, 14(2), 161-183.
    Hwang, G. J., Yang, T. C., Tsai, C. C., Yang, S. J. H. (2009). A context-aware ubiquitous learning environment for conducting complex science experiments. Computer & Education, 53(2), 402-413.
    Kennedy, T.J. and Odell, M.R.L. (2014) Engaging students in STEM education. Science Education International, 25(3), 246–258.
    Kim, C., Kim, D., Yuan, J., Hill, R.B., Doshi, P. and Thai, C.N. (2015). Robotics to promote elementary education pre-service teachers’ STEM engagement, learning, and teaching. Computers & Education, 91, 14–31.
    Kuhn, D. (1999). A developmental model of critical thinking. Educational Researcher, 28(1), 16–26.
    Lai, C. L., & Hwang, G. J. (2014). Effects of mobile learning time on students’ conception of collaboration, communication, complex problem-solving, meta-cognitive awareness and creativity. International Journal of Mobile Learning and Organisation, 8(3), 276-291.
    Lai, C. L., Hwang, G. J. (2016). A self-regulated flipped classroom approach to improving students’ learning performance in a mathematics course. Computers & Education. 100, 126-140.
    Lawanto, O., Johnson, S. D. (2012). Metacognition in an Engineering Design Project. International Journal Of Engineering Education. 28(1), 92-102.
    Leon, J, Nunez, J. L.., Liew, J. (2015). Self-determination and STEM education: Effects of autonomy, motivation, and self-regulated learning on high school math achievement. Learning and Individual Differences. 43, 156-163.
    Leou, M., Abder, P., Riordan, M., & Zoller, U. (2006). ‘Using HOCS-centered learning’ as a pathway to promote science teachers’ metacognitive development. Research in Science Education, 36(1–2), 69–84.
    Lou, S. J., Chou, Y. C., Shih, R. C., Chung, C.C. (2017). A Study of Creativity in CaC2 Steamship-derived STEM Project-based Learning. Eurasia Journal of Mathematics Science and Technology Education. 13(6), 2387-2404.
    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, 41-61.
    Macías-Guarasa, J., Montero, J. M., San-Segundo, R., Araujo, A., Nieto-Taladriz, O. (2006) A project-based learning approach to design electronic systems curricula. IEEE Transaction on Education 49(3), 389-397.
    Mergendoller, J. R., Markham, T. Ravitz, J., & Larmer, J. (2006). Pervasive management of project based learning: teachers as guides and facilitators. Handbook of Classroom Management: Research, Practice, and Contemporary Issues, Mahwah, NJ: Lawrence Erlbaum, Inc.
    Miri, B., David, B. C., Uri, Z. (2007). Purposely teaching for the promotion of higher-order thinking skills: A case of critical thinking. Research in Science Education. 37(4), 353-369.
    Moit, H., Dwyer, A., De Sutter, M., Heinzel, S., Crawford, D. (2019). A strandardized robotic training curriculum in general surgery program. Jsls-Journal of the Society of Laparoendoscopic surgeons, 23(4).
    Nikou, S.A. and Economides, A.A. (2019). Factors that influence behavioral intention to use mobile-based assessment: a STEM teachers’ perspective. British Journal of Educational Technology, 50(2), 587–600.
    Phalke, A. and Lysecky, S. (2010) ‘Adapting the eBlock platform for middle school STEM projects: Initial platform usability testing. IEEE Transactions on Learning Technologies, 3(2), 152–164.
    Pintrich, P.R., Smith, D.A.F., Garcia, T., & McKeachie, W.J. (1991). A manual for the use of the motivated strategies for learning questionnaire (MSLQ). MI: National Center for Research to Improve Postsecondary Teaching and Learning. ERIC Document Reproduction Service No. ED 338122
    Resnick, L. (1987). Education and learning to think. Washington, DC: National Academy.
    San-Segundo, R., Montero, J. M., Macías-Guarasa, J., Ferreiros, J., Córdoba, R. (2005, Nov). Towards the acquisition of soft and systemic skills: A project based learning experience in massive laboratories on electronics [Paper presentation]. Int. Conf. Engineering Computer Education, Madrid, Spain.
    Schneider, R.M., Krajcik, J., Marx, R.W., Soloway, E. (2002) Performance of students in project-based science classrooms on a national measure of science achievement. Journal of Research in Science Teaching. 39(5), 410–422.
    Strobel, J., Wang, J., Weber, N. R., & Dyehouse, M. (2013). The role of authenticity in design-based learning environments: The case of engineering education.
    Tynjälä, P., Salminen, R. T., Sutela, T., Nuutinen, A., & Pitkänen, S. (2005). Factors related to study success in engineering education. European Journal of Engineering Education, 30(2), 221–231.
    Van Merriënboer, J. J. G. & Swellwe, J. (2005). Cognitive load theory and complex learning: Recent developments and future directions. Educational Psychology Review, 17(2), 147-177
    Wang, L. C., & Chen, M. P. (2010). The effects of game strategy and preference‐matching on flow experience and programming performance in game‐based learning. Innovations in Education and Teaching International, 47(1), 39-52.
    Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., Wilensky, U. (2016). Defining Computational Thinking for Mathematics and Science Classrooms. Journal of Science Education and Technology. 25(1), 127-147.
    Wilks, S. (1995). Critical and creative thinking: Strategies for classroom inquiry. Armidale, NSW: Eleanor Curtain.
    Winne, P. H., & Hadwin, A. F. (1998). Studying as self-regulated learning. Metacognition in educational theory and practice, 93, 27–30.
    Winne, P. H., & Jamieson-Noel, D. (2002). Exploring students' calibration of self reports about study tactics and achievement. Contemporary Educational Psychology, 27(4), 551–572.
    Wladis, C., Hachey, A.C. and Conway, K. (2015) ‘Which STEM majors enroll in online courses, and why should we care? The impact of ethnicity, gender, and non-traditional student characteristics. Computers & Education, 87, 285–308.
    Zheng, J., Xing, W., & Zhu, GX. (2019). Examining sequential patterns of self- and socially shared regulation of STEM learning in a CSCL environment. Computers & Education. 136, 34-48.
    Zheng, J., Xing, W., Zhu, G., Chen, G., Zhao, H., & Xie, C. (2020). Profiling self-regulation behaviors in STEM learning of engineering design. Computers & Education, 143, 103669.
    Zheng, L. Q., Li, X., Chen, F. Y. (2018) Effects of a mobile self-regulated learning approach on students' learning achievements and self-regulated learning skills. Innovations in Education And Teaching International. 55(6), 616-624.
    Zimmerman, B. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45(1), 166-183.
    Zimmerman, B. J. (1998). Academic studying and the development of personal skill: A self-regulatory perspective. Educational Psychologist, 33, 73−86.
    Zimmerman, B. J. (2002). Becoming a self-regulated learner: an overview. Theory Into Practice, 41(2), 64-70.
    Zimmerman, B. J., Bandura, A. (1994). Impact of self-regulatory influences on writing course attainment. America Educational Research Journal. 31(4), 845-862.
    Zimmerman, B. J., Bonner, S., & Kovach, R. (1996). Developing self-regulated learner: Beyond achievement to self-efficacy. Washington, DC: American Psychological Association.
    Zohar, A., & Dori, Y. J. (2003). Higher order thinking skills and low achieving students: Are they mutually exclusive? Journal of the Learning Sciences, 12(2), 145–183.

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