簡易檢索 / 詳目顯示

研究生: 李盈潔
Li, Ying-Jie
論文名稱: 不同擬題系統對學習程式基本結構的影響
The effect of different problem-posing systems on learning the basic structure of programming
指導教授: 張國恩
Chang, Kuo-En
宋曜廷
Sung, Yao-Ting
劉子鍵
Liu, Tzu-Chien
口試委員: 侯惠澤
Hou, Huei-Tse
蕭顯勝
Hsiao, Hsien-Sheng
張國恩
Chang, Kuo-En
口試日期: 2022/07/14
學位類別: 碩士
Master
系所名稱: 資訊教育研究所
Graduate Institute of Information and Computer Education
論文出版年: 2022
畢業學年度: 110
語文別: 中文
論文頁數: 89
中文關鍵詞: 擬題教學引導式擬題運算思維演算法思維擬題系統
英文關鍵詞: problem posing, guided problem posing, computational thinking, algorithmic thinking, problem posing system
研究方法: 準實驗設計法
DOI URL: http://doi.org/10.6345/NTNU202201268
論文種類: 學術論文
相關次數: 點閱:139下載:18
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
  • 近年來,資訊科技的興起使得電腦科學逐漸受到重視。我國也依據資訊科技發展的趨勢,於十二年國教課綱中,將「科技領域」從「自然與生活科技領域」中劃分出來。資訊科技學習重點主要在於培養學習者運算思維與解決問題的能力。擬題教學策略能夠提升學習者的思考能力,並培養學習者發現和解決問題的能力,與資訊科技學習的重點能力契合。然而對於初次接觸擬題學習策略的學習者而言,面對尚未熟悉的學習內容以及新的學習模式,會導致學習者的認知負荷增加。而引導式擬題策略透過選擇的方式,能夠使得學習者在不增加外在認知負荷的情況下學習擬題技巧。
      本研究的研究目的為比較與觀察文字擬題教學、引導式擬題教學、與引導式擬題策略為鷹架褪除至文字擬題的褪除擬題教學,何者較能提升擬題學習對於程式三大基本結構之流程圖的學習成就之成效。以準實驗法將新北市某國中七年級學習者分成文字擬題組、選擇擬題組、褪除擬題組,各組使用不同的擬題系統學習,並進行三周的實驗介入。所得知的結論如下:
      一、以選擇擬題作為文字擬題的前導活動,有助於學習者於文字擬題活動時的表現與學習內容的理解。
      二、於選擇擬題活動後加以文字擬題活動,可幫助學習者有練習的效果。
      三、褪除擬題學習可以幫助學習者對於學習內容的把握度更有自信。

    In recent years, the rise of information technology has made computer science more and more important. In accordance with the development trend of information technology, our country also divided the "technology field" from the "natural and life science and technology field" in the 12-year national education curriculum. The main focus of information technology learning is to develop learners’ computational thinking and problem-solving skills. The problem-posing strategy can enhance learners’ thinking ability and cultivate their ability to discover and solve problems, which is in line with the key ability of information technology learning. However, for learners who are exposed to the problem-posing learning strategy for the first time, facing the unfamiliar learning content and the new learning mode will lead to an increase in the external cognitive load of the learner. The guided problem-posing strategy can enable learners to learn the problem-posing skills without increasing the external cognitive load.
    The research purpose of this study is to compare and observe the text-based problem-posing teaching, the guided problem-posing teaching, and the guided-based problem-posing strategy as a scaffold for the text-based problem-posing teaching. The effectiveness of the learning achievement of the flow chart of the three basic structures of the program. A quasi-experimental method was used to divide the seventh-grade learners of a middle school in New Taipei City into a text-based group, a selection-based group, and a selection-to-text group. The conclusions reached are as follows:
    1. Taking the guided-based problem-posing strategy as a scaffold for the text-based problem-posing learning can increase learning performance in both text-based problem-posing activities and the learning content.
    2. After guided-based problem-posing activity, add text-based problem-posing activity, which can help the learners to have the effect of practice.
    3. Taking selection-to-text problem-posing strategy can help learners to be more confident in their grasp of the learning content.

    目錄 附表目錄 vi 附圖目錄 vii 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究問題 3 第三節 研究假設 4 第二章 文獻探討 6 第一節 運算思維 6 第二節 擬題學習理論 8 第三節 擬題學習系統 10 第四節 鷹架學習理論 12 第三章 系統設計 13 第一節 理論模型 13 第二節 系統內容 14 第四章 研究方法 18 第一節 研究對象 18 第二節 研究設計 19 第三節 研究工具 20 第四節 研究程序 29 第五節 資料蒐集與分析 31 第五章 研究結果 32 第一節 學習成效分析 32 第二節 學習保留分析 34 第三節 認知負荷分析 36 第四節 行為模式分析 38 第五節 系統滿意度分析 45 第六節 訪談與意見回饋分析 48 第六章 討論與結論 58 第一節 學習成就 58 第二節 認知負荷 60 第三節 結論與建議 61 參考文獻 62 附錄一 成就試卷 73 附錄二 認知負荷量表 85 附錄三 系統滿意度量表 86 附錄四 訪談稿(文字擬題組) 87 附錄五 訪談稿(選擇擬題組) 88 附錄六 訪談稿(褪除擬題組) 89

    中文文獻

    廖遠光、張澄清(2016)。學生擬題教學對情意學習成效及學業成就影響之後設分析。教育科學研究期刊,61(3),1-42。

    林宜篇、于富雲(2011)。學生網路出題教學策略對國小學生生命教育學習成效之影響。新竹教育大學教育學報,28(2),29-56。

    林育慈、吳正己(2016)。運算思維與中小學資訊科技課程。教育脈動,(6),5-20。

    康軒出版社(2019)。資訊科技課本。臺北市:康軒出版社。

    教育部(2018)。十二年國民基本教育科技領域課程手冊。取自 https://www.k12ea.gov.tw/files/class_schema/%E8%AA%B2%E7%B6%B1/13-%E7%A7%91%E6%8A%80/13-1/%E5%8D%81%E4%BA%8C%E5%B9%B4%E5%9C%8B%E6%B0%91%E5%9F%BA%E6%9C%AC%E6%95%99%E8%82%B2%E8%AA%B2%E7%A8%8B%E7%B6%B1%E8%A6%81%E5%9C%8B%E6%B0%91%E4%B8%AD%E5%AD%B8%E6%9A%A8%E6%99%AE%E9%80%9A%E5%9E%8B%E9%AB%98%E7%B4%9A%E4%B8%AD%E7%AD%89%E5%AD%B8%E6%A0%A1%E2%94%80%E7%A7%91%E6%8A%80%E9%A0%98%E5%9F%9F.pdf

    陳沛均(2019)。國中小學習者運算思維與程式設計能力之研究[未出版碩士論文]。國立臺灣師範大學資訊工程研究所。

    陳金章(2007)。擬題活動融入國小五年級數學學習對數學解題表現、數學學習態度影響之研究[未出版碩士論文]。國立屏東教育大學數理教育研究所。

    蔡仕筌(2018)。視覺化程式設計學習對國小學童文字式程式設計學習之影響[未出版碩士論文]。國立臺北科技大學技術及職業教育研究所。

    楊晏婷(2011)。瀏覽出題機制融入網路學生出題歷程對國中英語學習影響之探究[未出版碩士論文]。國立成功大學教育研究所。

    王俐文(2008)。融入擬題的幾何證明教學對國三學生幾何能力之影響[未出版碩士論文]。國立彰化師範大學科學教育研究所。


    西文文獻

    Abramovich, S., & Cho, E. (2006). Technology as a medium for elementary preteachers' problem-posing experience in mathematics. Journal of Computers in Mathematics and Science Teaching, 25(4), 309-323.

    Aho, A. V. (2012). Computation and computational thinking. The Computer Journal, 55(7), 832-835.

    Akay, H., & Boz, N. (2010). The effect of problem posing oriented analyses-II course on the attitudes toward mathematics and mathematics self-efficacy of elementary prospective mathematics teachers. Australian Journal of Teacher Education, 35(1), 59-75.

    Akben, N. (2020). Effects of the problem-posing approach on students’ problem solving skills and metacognitive awareness in science education. Research in Science Education, 50(3), 1143-1165.

    Barak, M., & Rafaeli, S. (2004). On-line question-posing and peer-assessment as means for web-based knowledge sharing in learning. International Journal of Human-Computer Studies, 61(1), 84-103.

    Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12: what is Involved and what is the role of the computer science education community?. Acm Inroads, 2(1), 48-54.

    Blumenfeld, P. C., Soloway, E., Marx, R. W., Krajcik, J. S., Guzdial, M., & Palincsar, A. (1991). Motivating project-based learning: Sustaining the doing, supporting the learning. Educational Psychologist, 26(3-4), 369-398.

    Brown, S. I., & Walter, M. I. (2005). The art of problem posing. Psychology Press.

    Brusilovsky, P., Calabrese, E., Hvorecky, J., Kouchnirenko, A., & Miller, P. (1997). Mini-languages: a way to learn programming principles. Education and Information Technologies, 2(1), 65-83.

    Cai, J., & Hwang, S. (2021). Teachers as redesigners of curriculum to teach mathematics through problem posing: conceptualization and initial findings of a problem posing project. ZDM–Mathematics Education, 53(6), 1403-1416.

    Cankoy, O., & Özder, H. (2017). Generalizability theory research on developing a scoring rubric to assess primary school students' problem posing skills. Eurasia Journal of Mathematics, Science and Technology Education, 13(6), 2423-2439.

    Cazden, C. B. (1988). Classroom discourse: The language of teaching and learning.

    Chang, K. E., Wu, L. J., Weng, S. E., & Sung, Y. T. (2012). Embedding game-based problem-solving phase into problem-posing system for mathematics learning. Computers & Education, 58(2), 775-786.

    Chen, T., & Cai, J. (2020). An elementary mathematics teacher learning to teach using problem posing: A case of the distributive property of multiplication over addition. International Journal of Educational Research, 102, 101420.

    Crawley, S. L., Curry, W. H., Dumois-Sands, J., Tanner, C., & Wyker, C. (2008). Full-contact pedagogy: Lecturing with questions and student-centered assignments as methods for inciting self-reflexivity for faculty and students. Feminist Teacher, 19(1), 13-30.

    Pedrosa de Jesus, H. T., Almeida, P. A., Teixeira-Dias, J. J., & Watts, M. (2006). Students' questions: Building a bridge between Kolb's learning styles and approaches to learning. Education and Training, 48(2/3), 97–111.

    Deek, F. P. (1999). The software process: A parallel approach through problem solving and program development. Computer Science Education, 9(1), 43-70.

    Dillon, J. T. (1982). Problem finding and solving. The Journal of Creative Behavior.

    Fretz, E. B., Wu, H. K., Zhang, B., Davis, E. A., Krajcik, J. S., & Soloway, E. (2002). An investigation of software scaffolds supporting modeling practices. Research in Science Education, 32(4), 567-589.

    Fu-Yun, Y., & Chun-Ping, W. (2012). Student question-generation: The learning processes involved and their relationships with students’ perceived value. Journal of Research in Education Sciences, 57(4), 135.

    Google for Education. (2015). Exploring Computational Thinking. Retrieved from http://www.google.com/edu/resources/programs/exploring-computational-
    thinking/

    Grover, S., & Pea, R. (2013). Computational thinking in K–12: A review of the state of the field. Educational Researcher, 42(1), 38-43.

    Grover, S., Cooper, S., & Pea, R. (2014, June). Assessing computational learning in K-12. In Proceedings of the 2014 Conference on Innovation & Technology in Computer Science Education (pp. 57-62).

    Gür, H., & Korkmaz, E. (2003). The identification of primary school 7th graders' problem development skills. The board of mathematicians: The science corner. Retrieved August 15, 2007.

    Harland, T. (2003). Vygotsky's zone of proximal development and problem-based learning: Linking a theoretical concept with practice through action research. Teaching in Higher Education, 8(2), 263-272.

    Hirashima, T., Yokoyama, T., Okamoto, M., & Takeuchi, A. (2008, October). Long-term use of learning environment for problem-posing in arithmetical word problems. In Proceedings of ICCE (Vol. 2008, pp. 817-824).

    Howland, K., Good, J., & Nicholson, K. (2009, September). Language-based support for computational thinking. In 2009 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) (pp. 147-150). IEEE.

    Hsieh, S. W., Jang, Y. R., Hwang, G. J., & Chen, N. S. (2011). Effects of teaching and learning styles on students’ reflection levels for ubiquitous learning. Computers & Education, 57(1), 1194–1201.

    Hwang, G. J., Chang, S. C., Song, Y., & Hsieh, M. C. (2021). Powering up flipped learning: An online learning environment with a concept map‐guided problem‐posing strategy. Journal of Computer Assisted Learning, 37(2), 429-445.

    Işık, C., Kar, T., Yalçın, T., & Zehir, K. (2011). Prospective teachers’ skills in problem posing with regard to different problem posing models. Procedia-Social and Behavioral Sciences, 15, 485-489.

    Jonas, M., & Sabin, M. (2015). Computational thinking in Greenfoot: AI game strageties for CS1: conference workshop. Journal of Computing Sciences in Colleges, 30(6), 8-10.

    Kölling, M., Brown, N. C., & Altadmri, A. (2015, November). Frame-based editing: Easing the transition from blocks to text-based programming. In Proceedings of the Workshop in Primary and Secondary Computing Education (pp. 29-38).

    Lajoie, S. P. (2005). Extending the scaffolding metaphor. Instructional Science, 33(5), 541-557.

    Lee, I. (2016). Reclaiming the roots of CT. CSTA Voice: The Voice of K–12 Computer Science Education and Its Educators, 12(1), 3-4.

    Leung, S. S. (1993). Mathematical problem posing: The influence of task formats, mathematics knowledge, and creative thinking. In Proceedings of 17th International conference of International Group for the Psychology of Mathematics Education (pp. 33-40).

    Lewis, C. M. (2010, March). How programming environment shapes perception, learning and goals: logo vs. scratch. In Proceedings of the 41st ACM Technical Symposium on Computer Science Education (pp. 346-350).

    Linn, M. C. (1985). The cognitive consequences of programming instruction in classrooms. Educational Researcher, 14(5), 14-29.

    Lye, S. Y., & Koh, J. H. L. (2014). Review on teaching and learning of computational thinking through programming: What is next for K-12?. Computers in Human Behavior, 41, 51-61.

    Marcus, N., Cooper, M., & Sweller, J. (1996). Understanding instructions. Journal of Educational Psychology, 88(1), 49.

    McNeill, K. L., Lizotte, D. J., Krajcik, J., & Marx, R. W. (2006). Supporting students' construction of scientific explanations by fading scaffolds in instructional materials. The Journal of the Learning Sciences, 15(2), 153-191.

    Nardone, C. F., & Lee, R. G. (2010). Critical inquiry across the disciplines: Strategies for student-generated problem posing. College Teaching, 59(1), 13-22.

    Noroozi, O., Kirschner, P. A., Biemans, H. J., & Mulder, M. (2018). Promoting argumentation competence: Extending from first-to second-order scaffolding through adaptive fading. Educational Psychology Review, 30(1), 153-176.

    Palincsar, A. S. (1998). Social constructivist perspectives on teaching and learning. Annual Review of Psychology, 49(1), 345-375.

    Palinscar, A. S., & Brown, A. L. (1984). Reciprocal teaching of comprehension-fostering and comprehension-monitoring activities. Cognition and Instruction, 1(2), 117-175.

    Pea, R. D. (2004). The social and technological dimensions of scaffolding and related theoretical concepts for learning, education, and human activity. The Journal of the Learning Sciences, 13(3), 423-451.

    Pears, A., Seidman, S., Malmi, L., Mannila, L., Adams, E., Bennedsen, J., ... & Paterson, J. (2007). A survey of literature on the teaching of introductory programming. Working Group Reports on ITiCSE on Innovation and Technology in Computer Science Education, 204-223.

    Puntambekar, S., & Hubscher, R. (2005). Tools for scaffolding students in a complex learning environment: What have we gained and what have we missed?. Educational Psychologist, 40(1), 1-12.

    Rosli, R., Capraro, M. M., & Capraro, R. M. (2014). The Effects of Problem Posing on Student Mathematical Learning: A Meta-Analysis. International Education Studies, 7(13), 227-241.

    Selby, C., & Woollard, J. (2013). Computational thinking: the developing definition.

    Selby, C. C. (2015, November). Relationships: computational thinking, pedagogy of programming, and Bloom's Taxonomy. In Proceedings of the Workshop in Primary and Secondary Computing Education (pp. 80-87).

    Silver, E. A. (1994). On mathematical problem posing. For the Learning of Mathematics, 14(1), 19-28.

    Silver, E. A., Mamona-Downs, J., Leung, S. S., & Kenney, P. A. (1996). Posing mathematical problems: An exploratory study. Journal for Research in Mathematics Education, 27(3), 293-309.

    Stone, V. E., Baron-Cohen, S., & Knight, R. T. (1998). Frontal lobe contributions to theory of mind. Journal of Cognitive Neuroscience, 10(5), 640-656.

    Stoyanova, E., & Ellerton, N. F. (1996). A framework for research into students' problem posing in school mathematics. Technology in Mathematics Education, 4(7), 518-525.

    Suarsana, I., Lestari, I. A. P. D., & Mertasari, N. M. S. (2019). The Effect of Online Problem Posing on Students' Problem-Solving Ability in Mathematics. International Journal of Instruction, 12(1), 809-820.

    Sung, H. Y., Hwang, G. J., & Chang, Y. C. (2016). Development of a mobile learning system based on a collaborative problem-posing strategy. Interactive Learning Environments, 24(3), 456-471.

    Sung, H. Y., Hwang, G. J., & Chen, S. F. (2019). Effects of embedding a
    problem-posing-based learning guiding strategy into interactive e-books on students' learning performance and higher order thinking tendency. Interactive Learning Environments, 27(3), 389-401.

    Sweller, J., Van Merrienboer, J. J., & Paas, F. G. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10(3), 251-296.

    Sysło, M. M. (2015, June). From algorithmic to computational thinking: On the way for computing for all students. In proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education (pp. 1-1).

    Tawfik, A. A., Law, V., Ge, X., Xing, W., & Kim, K. (2018). The effect of sustained vs. faded scaffolding on students’ argumentation in ill-structured problem solving. Computers in Human Behavior, 87, 436-449.

    Ting-Jung, C., & Fu-Yun, Y. (2011). Effects of Online Student Question-Generation on Primary School Classic Chinese Poetry Instruction. Journal of Research in Education Sciences, 56(4), 99.

    Vygotsky, L. S., & Cole, M. (1978). Mind in society: Development of Higher Psychological Processes. Harvard university press.

    Wang, X. M., & Hwang, G. J. (2017). A problem posing-based practicing strategy for facilitating students’ computer programming skills in the team-based learning mode. Educational Technology Research and Development, 65(6), 1655-1671.

    White House. (2016). Computer Science For All. Retrieved from https://obamawhitehouse.archives.gov/blog/2016/01/30/computer-science-all

    Whitin, P. (2004). Promoting problem-posing explorations. Teaching Children Mathematics, 11(4), 180-186.

    Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35.

    Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717-3725.

    Wood, D., Bruner, J. S., & Ross, G. (1976). The role of tutoring in problem solving. Child Psychology & Psychiatry & Allied Disciplines.

    Yadav, A., Gretter, S., Good, J., & McLean, T. (2017). Computational thinking in teacher education. In Emerging research, practice, and policy on computational thinking (pp. 205-220). Springer, Cham.

    Ye, X. D., Chang, Y. H., & Lai, C. L. (2019). An interactive problem-posing guiding approach to bridging and facilitating pre-and in-class learning for flipped classrooms. Interactive Learning Environments, 27(8), 1075-1092.

    Yu, F. Y., Liu, Y. H., & Chan, T. W. (2005). A web‐based learning system for question‐posing and peer assessment. Innovations in Education and Teaching International, 42(4), 337-348.

    Yu, F. Y., Wu, C. P., & Hung, C. C. (2014). Are there any joint effects of online student question generation and cooperative learning?. The Asia-Pacific Education Researcher, 23(3), 367-378.

    下載圖示
    QR CODE