研究生: |
鍾曉蘭 Shiao-Lan Chung |
---|---|
論文名稱: |
以多重表徵的模型教學探究高二學生理想氣體心智模式的類型及演變的途徑 Inquiry the eleventh students』 mental models and paths of conceptual change in learning the nature of ideal gas particles via multiple modeling activities |
指導教授: |
邱美虹
Chiu, Mei-Hung |
學位類別: |
碩士 Master |
系所名稱: |
科學教育研究所 Graduate Institute of Science Education |
論文出版年: | 2007 |
畢業學年度: | 95 |
語文別: | 中文 |
論文頁數: | 236 |
中文關鍵詞: | 多重表徵的模型教學 、心智模式的演變途徑 、概念改變 |
英文關鍵詞: | multiple representations modeling activities, the evolutionary pathway of mental models, conceptual change |
論文種類: | 學術論文 |
相關次數: | 點閱:189 下載:128 |
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 |
在學習化學的歷程中,不論是物質三態、理想氣體模型、碰撞學說與平衡的相關概念的科學學習上,微觀的粒子概念是理解化學概念的重要基礎。然而,學生在日常生活的觀察之中,不容易察覺與體驗出化學概念中微觀世界的想法,導致在學習理想氣體粒子模型與氣體動力論困難重重,甚至對於氣體的巨觀現象做出許多錯誤的推理因,而產生許多的迷思概念或另有概念(Novick & Nussbaum,1981;Millar,1990;Benson et al., 1993)。本研究根據文獻所提及氣體粒子的迷思概念/心智模式類型,設計出一系列相關氣體體積、壓力、蒸氣壓、擴散與微觀世界中氣體粒子運動關係的診斷式紙筆測驗(預試對像為高三學生,男:45,女:37,共計82人,信度為0.913),來探討學生理想氣體心智模式的類型。在教學方面,根據理想氣體粒子模型的特性(剛性粒子、隨機運動等)設計符合其現象及屬性的多重表徵的模型教學,藉著分析心智模式類型的分佈與演變途徑,及比較教學前、後及延宕測驗中3C(Correctness、Consistency、Completeness)的演變情形(Chi & Roscoe,2002;Vosniadou,2002;邱美虹,2006),來瞭解多重表徵的模型教學(實驗組為39人,男:27、女:12)是否比傳統文本教學(控制組為40人,男:32、女:8)更能有效增進學生對於理想氣體的科學學習與概念改變。
經過兩週(共計八節課)教學後,分析兩組學生教學前、後的正確性(correctness)、一致性(consistency)與完整性(completeness),以及五次動態評量的答題情形,研究結果摘要如下:
(1)在教學成效方面:實驗組與控制組兩組學生在教學前並未達顯著差異(paired-t test,正確性:t=.781,p=.440; 一致性:t=1.705,p=.081; 完整性:t=1.04, p=.306),教學後則達到顯著差異(ANCOVA ,正確性:F=36.4,p=.000; 一致性:F=40.9,p=.000;完整性:F=42.4,p=.000)。特別在微觀方面,實驗組的正確性顯著優於控制組(F=43.6,p=.000),顯示出藉由多重表徵的教學方式,的確有助於學生建立正確的微觀氣體粒子運動模型。
(2)在教學過程的動態評量中,兩組學生除了第二次評量未達顯著差異,實驗組在其他四次評量的得分率皆顯著優於控制組。
(3)研究者以學生回答診斷式試題中六題相關氣體壓力微觀的解釋理由,來判斷學生的心智模式,並歸類出學生的心智模式共有十大類型:科學模式、科學有瑕疵、科學+其他、分子量模式、體積模式、引力模式、動能模式、活性模式、兩種心智模式並存的雙模式,以及不一致的混合模式。實驗組學生對於氣體壓力主要心智模式的演變途徑為:混合(30.1%)→科瑕(35.8%)→科瑕(46.1%);控制組學生對於氣體壓力主要心智模式的演變途徑為:混合(45.0%)→混合(45.0%)→混合(37.5%)。實驗組學生心智模式的演變朝向科學模式/科學有瑕疵的方向邁進,控制組的學習活動中由於缺乏與現象相同屬性(動態-隨機)的多重表徵,較難引發學生建立正確的心象,因而控制組學生心智模式的改變並不多。
(4)多重表徵的模型教學與動態評量有助於學生建立突現過程本體:實驗組學生經由視覺混合、具體混合、數學混合與動作混合等多重表徵的模型教學後,建立了完整的剛性粒子的概念,並深入瞭解粒子微觀的運動是隨機的、瞭解氣壓的成因是快速運動的粒子對容器壁碰撞時的單位體積內動能轉移,因此教學後有48.7%的實驗組學生產生跨越本體及直接過程轉變成突現過程等較困難的概念改變,另外有20.5%的實驗組學生在學習過程中逐漸演變成突現過程。
(5)從學生開放式的問卷中,我們可以瞭解到大部分的學生對於多重表徵模型教學的情意面向是正面的反應居多。
本研究嘗試將多重表徵的模型教學融入理想氣體教學中,研究結果顯示教學成效顯著優於傳統文本教學,建議科學教師在課室活動中可以在時間許可下採用模型教學。藉由呈現模型與不同表徵之間的交互作用,幫助學生觀察並進一步瞭解現象中所蘊含的科學模型,藉以動態修正或精緻化個人的心智模式。
關鍵詞:多重表徵的模型教學、心智模式的演變途徑、概念改變
In the process of learning chemistry, the microscopic concept of particles has been regarded as an important basis in understanding certain chemistry concepts, such as states of matter, ideal gas particles models, collision theory, or chemical equilibrium. It is difficult for students to be aware of and experience the ideas about the micro world in chemistry in their daily lives. They even make plenty of incorrect inferences concerning the macroscopic phenomena of gas, which in turn lead to numerous misconceptions (Novick & Nussbaum, 1981; Millar, 1990; Benson et al., 1993). To find out students』 difficulties in learning related concepts of ideal gas theory, based on the misconceptions / mental models of gas particles discussed in the literature, this research designs a series of diagnostic paper-and-pencil tests (There are 82 12th students in high school participate pre-test, forty-five students are male and thirty-seven students are female. The reliability is 0.913) about gas volume, gas pressure, vapor pressure, diffusion, and gas particles movements in the micro world. The purpose of this research attempts to explore students』 various types of mental models of ideal gas. In practical teaching, the researcher, based on the properties (rigid particles; random motions) of ideal gas particles models, designs multiple representations modeling activities. Through analyzing the distribution and the evolutionary pathways of mental models and comparing the variation of 3C (Correctness, Consistency, Completeness) before and after teaching as well as the follow-up tests (Chi & Roscoe, 2002; Vosniadou, 2002; Chiu, 2006), this research would like to see if multiple representations modeling activities (the experimental group: 39, male: 27, female: 12) improve students』 conceptual change in scientific learning toward ideal gas than the traditional way of textbook teaching (the control group: 40, male: 32, female: 8) more effectively.
After two weeks』 (totally eight class periods) teaching, the researcher analyzes the correctness, consistency and completeness of students』 conceptions on gases between the two groups, and their responses in the five units of dynamic assessments. The outcome of the research can be summarized as follows:
(1) The effectiveness of teaching: There is no significant difference between the control group and the experimental group before teaching (paired-t test, correctness: t=.781, p=.440; consistency: t=1.705, p=.081; completeness: t=1.04, p=.306). However, it shows significant difference between two groups after teaching (ANCOVA, correctness: F=36.4, p=.000; consistency: F=40.9, p=.000; completeness: F=42.4,p=.000). Especially in the micro phase, the correctness of the experimental group is significantly superior to that of the control group (F=43.6, p=.000). It indicates that the multiple representations modeling teaching may assist students to develop correct microscopic models of gas particles motion.
(2) In the process of dynamic assessments, the scores in the four assessments of the experimental group are far better than those of the control group except in the second assessment.
(3) Students』 mental models are judged from their explanations on six questions related to micro conceptions on gas pressure in the diagnostic test. Therefore, the students』 mental models are categorized into ten types: scientific model, scientific flaw, scientific models plus others, molecular weight model, volume model, attraction model, kinetic energy model, active model, bi-mental model, and inconsistent mixture model. The evolution of the mental models towards gas pressure in the experimental group goes as follows: mixture (30.1%) → scientific flaw (35.8%) → scientific flaw (46.1%).The evolution of the mental models towards gas pressure in the control group goes as follows: mixture (45.0%) → mixture (45.0%) → mixture (37.5%). The mental models of the students in the experimental group move towards scientific model / scientific flaw. Due to the lack of consistent multiple representations of particles with phenomena in control group, it is difficulty to help the students in control group develop correct mental models.
(4) Multiple representations modeling teaching and dynamic assessments help students build up the ontology of emergent process. Through the multiple representations modeling teaching, such as visual mixture, concrete mixture, math mixture, and motion mixture, the students in the experimental group develop a full concept on rigid particles. Moreover, they recognize the random motion of particles in the micro world and understand that the factors contributing to gas pressure come from the transition of kinetic energy in each volume unit when fast-moving particles crash the wall of the containers. Therefore, there are 48.7% of the students in the experimental group undergo some of the more difficult conceptual changes, such as from matter to process or from direct process to emergent process shortly after teaching. And 20.5% of the students in the experimental group gradually form the emergent process ontology in their learning process.
(5) From the students』 open-ended questionnaire, we realize most students, in terms of their emotions, are positive towards multiple representations modeling activities.
This research attempts to apply multiple representations modeling activities to ideal gas teaching. And it shows the teaching results excel those of the traditional textbook teaching. The findings of this research encourage science teachers to adapt modeling teaching in their classroom activities. With the time allowance, science teachers should help students observe and understand the scientific models embedded in phenomena through the interactions between expressed models and different representations, which thus repair or modify their mental models.
中文文獻
王靖璇(2000)。專題導向科學學習之教學研究:以國中學生學習「彩虹」為例。國立台灣師範大學科學教育研究所碩士論文(未出版)。
史嘉章(2002)。發展二階試題以探討國高中學生氣體迷思概念。國立台灣師大科學教育研究所碩士論文(未出版)。
李世勳(1999)。高中學生的辯護與反駁之研究-偽氣體理論。高師大科學教育研究所碩士論文(未出版)。
邱美虹、翁雪琴(1995)。國三學生四季成因之心智模式與推論歷程之探討。科學教育學刊,3(1),23-68。
邱美虹(2000)。概念改變研究的省思與啟示。科學教育學刊,8(1),1-34。
邱美虹、林靜雯(2002):以多重類比探究兒童電流心智模式之改變。科學教育學刊,第十卷第二期,109-134。
邱美虹(2002)。以電腦動態表徵診斷台灣學生粒子概念。發表於2002年6月第一屆兩岸化學研討會,台北。
邱美虹(2005)。台灣地區中小學化學概念之心智模式與成因之研究(Ι)-子計畫二:台灣地區中學生「原子/分子/粒子、化學平衡、酸鹼鹽」結案報告(未出版)。
邱美虹(2006)。科學概念學習研究(VI):化學科-子計畫二:台灣地區中學生「粒子與化學平衡」概念之心智模式與概念改變之研究結案報告(未出版)。
周天賜(1998)。動態評量:發展與改進兒童潛能的媒介式學習。台北:心理。
邱顯博(2002)。國二、國三學生的擴散作用概念與概念改變之研究。國立台灣師範大學科學教育研究所碩士論文(未出版)。
吳明珠(2004)。從科學史中理論模型的發展暨認知學心智模式探討化學概念的理解-層析理論的模型化案例。國立台灣師範大學科學教育研究所博士論文(未出版)。
洪振方(1987)。學生空氣體積及壓力之粒子模型與推理能力之相關研究。國立台灣師範大學化學研究所碩士論文(未出版)。
莊麗娟、邱上真(1996)。動態評量在教學上的應用。高雄教育簡訊,13,12-13。
莊麗娟 (1999)。系統化多元評量模式之發展研究。國立高雄師範大學教育研究所博士論文(未出版)。
陳婉茹(2004)。探討動態類別對於化學平衡概念學習之研究-八年級學生概念本體及心智模式之變化。國立台灣師範大學科學教育研究所碩士論文(未出版)。
陳盈吉(2004)。探究動態類比對於科學概念學習與概念改變歷程之研究-以國二學生學習氣體粒子為例。國立台灣師範大學科學教育研究所碩士論文(未出版)。
陳郡鳳(2004)。探討理想氣體動力論之建模教學對高一學生建構微觀氣體粒子運動心智模式的影響。國立台灣師範大學科學教育研究所碩士論文(未出版)。
黃湘武、黃寶鈿(1987)。學生推理能力與概念發展之研究。認知與學習研討會專集。台北市行政院國家科學委員會。
鄭志鵬(1998)。探究高中學生之氣體概念及相關粒子概念。國立台灣師範大學化學研究所碩士論文(未出版)。
劉家成(2003)。以動態評量探究國中學生浮力概念的心智模式及概念改變的歷程。國立台灣師範大學科學教育研究所碩士論文(未出版)。
鍾曉蘭、邱美虹(2006)。探究高二學生理想氣體中混合氣體的心智模式與概念改變。論文發表於中華民國第22屆科學教育學術研討會,2006.12.15-16,台北。
潘冠錡、陽季吟(2006)。氣體動力論。台北市多媒體單元教材甄選觀摩作品。網址:http://163.21.249.238/ (教學多媒體的部分)
英文文獻
Anderson, B.(1992). Pupils conceptions of matter and is transformation (age12-16). In P. L., Lijnse, P.Licht, W.de Vos, and A.J.Waarlo (eds.), Relating Macroscopic Phenomena to Microscopic Particles.A central Problems in Secondary Science Education. Netherlands:University of Utrecht.
Benson, D. L., Wittrock, M. C.& Baur, M. E.(1993). Student』preconceptions of the Nature of Gases. Journal of Research in Science Teaching, 30(6), 587-597.
Boulter, C. J.,& Buckley,B. C.(2000). Constructing a typology of models for science education. In J. K. Gilbert & C. J. Boulter (eds.), Developing models in Science Education,(pp.41-57). Netherlands: Kluwer academic Publisher.
Buckley, B. C.& Boulter, C. J.(2000).Investigating the Role of Representations and Expressed in Building Mental Models. In J. K. Gilbert & C. J. Boulter (eds.).Developing models in Science Education,(pp.119-135) Netherlands: Kluwer academic Publisher.
Carey, S (1985).Conceptual change in childhood. Cambridge, MA: The MIT Press.
Chi, M. T. H. (1992). Conceptual change within and across ontological categories: Examples from learning and discovery in science. In R. Giere (Ed.), Cognitive. models of science : Minnesota Press.
Chi, M. T. H., Slotta, J. D., & de Leeuw, N. (1994). From things to process : A theory. of conceptual change for learning science concepts [special issue]. Learning and. Instruction, 4, 27-43.
Chi, M. T. H. (1997). Creativity: Shifting across ontological categories flexibly. In T. B. Ward,. S. M. Smith, & J. Vaid (Eds.), Creative Thought: An investigation of conceptual structure and processes(pp.209-234). Washington, DC:American Psychological Association.
Chi, M.T.H., & Roscoe, R.D. (2002). The process and challenges of conceptual change. In M. Limon & L. Mason (Eds.), Reconsidering Conceptual Change: Issues in Theory and Practice. (pp.3-27). Netherlands: Kluwer Academic Publishers.
Chi, M.T.H. (2005). Common sense conceptions of emergent processes. Journal of the Learning Science, 14, 161-199.
Chiu, M. H. (2007). A National Survey of Students』Conceptions of Chemistry in Taiwan. International Journal of Science Education, 29(4), 421-452.
Chiu, M. H., Guo, C. J. & Treagust, D. F. (2007).Assessin Students』
Conceptual Understanding in Science: An introduction about a national project in Taiwan. International Journal of Science Education, 29(4),
379-390.
Chiu, M. H., & Chung, S. L. (2007, August 21-25).Investigating correctness, consistency, and completeness of students』 mental models and paths of conceptual change in learning the nature of gas particles via multiple modeling activities.Paper will present at 2007 ESERA Conference, Malmö, Sweden.
Chung, S. L.,Wu, Y. H.,& Chiu, M. H.(2006, August 12-17). A Computerized Assessment Tool for Investigation Students』 Conceptions of Particulate Model of Ideal Gas. Paper presented at 19th International Conference on Chemical Education, Seoul, Korea
diSessa, A. A.(1998). Knowledge in pieces. In G.Forman and P.B.Pufall(Eds.), Constructivism in the computer age (pp.49-70).Hillsadale,NJ:Erlbaum Associates.
de Berg, K. C.& Treagust, D. H.(1993). The Presentations of Gas Properties
in Chemistry Textbooks and as reported by Science Teachers. Journal of Research in Science, 30(8), 871-882.
de Berg, K. C.(1992). Student』 Thinking in Relation to Pressure-Volumn Changes of a Fixed Amount of Air:The Semi-quantitative Context.International Journal of Science Education, 14(3), 295-303.
de Berg, K. C.(1995). Student Understanding of Volumn, Mass, and Pressure of Air within a Sealed Syringe in Different States of Compression. Journal of Research in Science Teaching, 32(8), 871-884.
Doran, R. L.(1972).Misceptions of Selected Science Concepts Held by Elementary School Students. Journal of Research in Science Teaching,9(2), 127-137.
Driver, R.(1985).Beyond Appearances:The Conservation of Matter Under Physical and Chemistry Transformations. In R.Driver, E.Guesne & Tiberghien (Eds.), Childern』s Ideas in Sciencs.(pp.145-169).Open University press.
Garnett, P. J., Garnett, P. J., & Hackling, M. W.(1995). Student』 Alternative conceptions in chemistry: A review of research and implications for teaching and learning. Studies in science education, 25, 69-95.
Gilbert, J. K., Boulter,C. J., & Elmer, R.(2000). Positioning models in science education and in design and technology education. In J. K. Gilbert & C. J. Boulter (eds.),Developing models in Science Education,(pp.3-17). Netherlands: Kluwer academic Publisher.
Gómez Crespo, M. A., & Pozo,J.I.(2005).The Embodied Nature of Implicit Theories: The Consistency of Ideas About the Nature of Matter. Cognition and Instruction, 23(3), 351-387.
Haider, A.(1997).Prospective Chemistry Teachers』 Conceptions of the Conservation of Matter and Related Concepts. Journal of Research in Science Teaching,34(2), 181-197.
Harrison, A. G., Treagust, D. F.(1996). Secondary Student』mental models of atoms and molecules : implications for teaching chemistry. Science education, 80(5), 509-534.
Johnson, P.(1998).Progression in children』s understanding of a 『basic』 particle theory:A longitudinal study. International Journal of Science Education, 20(4), 393-412.
Johnson-Laird, P. N.(1983).Mental models. Towards a Cognitive Science of Language, Inference, and Consciousness. Cambridge, UK:Cambridge University Press.
Johnson-Laird, P. N.(1989). Mental models. In M.I Posner (Eds.),Foundations of Cognitive Science(pp.467-499).Cambridge, MA:MIT Press.
Johnson-Laird, P. N.(1995). Mental models, deductive reasoning, and the brain.
In M.S. Gazzaninga (Eds.),The Cognitive Neurosciences(pp.999-1008). Cambridge, MA:MIT Press.
Johnson-Laird, P. N.(1999).Formal rules versus mental models in reasoning. In R. J. Sternberg (Eds.),The nature of cognition(pp.586-624). Cambridge, MA: MIT Press.
Kessler, K., Duwe, I. & Strohner, H. (1999). Grounding mental models: Subconceptual dynamics in the resolution of reference in discourse. In G. Rickheit & C. Habel (Eds.), Mental Models in Discourse Processing and Reasoning (pp.169-193). Oxford: Elsevier
Norman, D. A.(1983),Some observations on mental models. In D. Gentner and A. Stevens (Eds.), Mental Models(pp.7-14). Hillasdale, NJ:Erlbaum.
Millar, R.(1990). Making sense: What use are particle ideas to children? In P. Licht, W. de Voss & A. J. Waarlo(eds.), Relating macroscopic phenomena to microscopic particles. The Netherlands: University of Utrecht.
Lids, C.S.(1991) . Practitioners' Guide to Dynamic Assessment. New York: Guilford Press.
Novick, S. & Nassumsbaum, J.(1978).Junior High School Pupils』 Understanding of the Particles Nature of Matter: An interview Study. Science Education, 62(3), 273-281.
Novick, S. & Nassumsbaum, J.(1981). Pupils』 Understanding of the Particles Nature of Matter: A Cross-Age Study. Science Education, 65(2), 187-196.
Selly, N. J.(1981).Children』s Understanding of Atoms and Molecules,
(mimeograph). Kingstone:Kingstone Polytechnic.
Sere, M. G.(1987).The Gaseous State. In Driver, R. Guesne, E.& Tiberghien,A.
(eds.), Children』s Ideas in Science. UK:Open University Press.
Strike, K.A., & Posner, G.J. (1992). A revisionist theory of conceptual change. In R. A. Duschl & R.J.Hamilton(eds.), Philosophy of science, cognitive psychology, and educational theory and practice (pp. 147-176).Albany, NY: SUNY press.
Sternberg, R. J. (1985). Beyond IQ: A triarchic theory of human intelligence. NY: Cambridge University Press.
Sternberg, R. J. (1986). Intelligence Applied: Understanding and increasing your intellectual Skills. San Diego:Harcourt Brace.
Sternberg, R. J. (1988). A three-facet model of creativity. In R.J. Sternberg (Eds.), The nature of creativity (pp. 125-147). NY: Cambridge University Press.
Sternberg, R. J. (1990). Metaphors of mind: Conceptions of the nature of intelligence. NY: Cambridge University Press.
Sternberg, R. J. (1997). Successful intelligence. New York: Plume.
Sternberg, R. J., Forsythe, G. B., Hedlund, J., Horvath, J., Snook, S., Williams, W. M., Wagner, R. K., & Grigorenko, E. L. (2000).Practical intelligence in everyday life. NY: Cambridge University Press.
Sternberg, R. J., & Grigorenko, E. L. (2000). Teaching for successful intelligence. Arlington Heights, IL: Skylight Training and Publishing.
Sternberg, R. J., & Grigorenko, E. L. (2002). Dynamic testing: The nature and measurement of learning potential. NY: Cambridge University Press.
Sternberg, R. J., & Lubart, T. I. (1999). The concept of creativity: Prospects and paradigms. In Sternberg, R. J. (Ed.), Handbook of creativity. NY : Cambridge University Press.
Sternberg, R. J., & Spear-Swerling, L. (1996). Teaching for thinking. American Psychological Association.
Treagust, D. F., Chittleborough, G., & Mamiala, T. L.(2002), Students』understanding of the role of scientific models in learning science. International Journal of Science Education, 24(4), 357-368.
Venville, G.J. and Treagust, D.F.(1997) . Analogies in Biology Education: A Contentious Issue. The American Biology Teacher, 59(5), 282-287.
Venville G., & Treagust , D.F.(1998). Exploring conceptual change in genetics using a multimensional interpretive framework. Journal of Research in Science Teaching, 35(9), 1031-1055.
Vosniadou, S., & Brewer, W. F.(1992). Mental models of the earth: A study of conceptual change in childhood. Cognitive Psychology, 24(4), 535-585.
Vosniadou, S., & Brewer, W. F.(1994). Mental models of the day/night cycle. Cognitive Science, 18(1), 123-183.
Vosniadou, S.(2002). On the nature of naïve physics. In M. Limon & L.Mason(Eds.), Reconsidering conceptual change. Issues in theory and practice. Netherlands:Kluwer Academic Publishers, 61-76.