依據本研究之結果，動畫結合於評量中，降低受試者認知負荷，符合本研究 之目的；國際學生能力評量計畫（PISA）近幾年也加入了電腦化試題，說明了 動畫輔助評量有其發展的特性。另外，因學生本身空間能力差異會影響評量結果，
所以未來的研究上，動畫輔助評量的設計應更仔細考慮學生個體的空間能力差 異。
未來十二年國教免試入學的政策，著重於學生的在校成績，這也讓每一次教 學後的評量重要性越來越高，如何提升評量實際評測學生的能力，進而瞭解與反 應學生的學習狀況，甚至給予教師教學回饋顯得至關重要。因此，提升評量的準 確度與成效是必要的。本研究透過動畫輔助來降低非題目所要評測目標之認知負 荷，進而評量學生能力，若能應用在更廣泛的評量測驗當中，對教師與學生將是 雙贏的局面。
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55
何榮桂（1990）。電腦教學系統中的測驗設計。中等教育，41(2)，29-34。
呂志峰（2008）。中學生月相盈虧相關迷思概念類型與概念改變過程之探討。未 出版碩士論文，國立臺灣師範大學地球科學研究所，台北市。
宋曜廷（2000）。先前知識、文章結構和多媒體呈現對文章學習的影響。國立臺 灣師範大學教育心理與輔導學系博士論文，未出版，台北市。
邱美虹、陳英嫻（1995）。月相盈虧之概念改變。師大學報，40，509-548。
林敏芳（2005）。 線上評量應用於教學上的現狀與發展。生活科技教育月刊，
38(1)， 74-85。
周文正（1998）。www 上電腦輔助測驗系統之研製。國立高雄師範大學：第七屆 電腦輔助教學研討會論文集。國立高雄師範大學。
56
張俊彥和陳盈霖 （2000）。不同電腦輔助教學(CAI)模式對高中學生「恆星演化」
學習成就及其態度之影響。台灣師範大學學報：科學教育類，45(2)，1-20。
張俊彥和董家莒 （2000）。「問題解決」或「無問題解決」？電腦輔助教學設 計成效之比較研究。科學教育學刊，8(4)，357-377。
張春興（1997）。教育心理學。台北：五南圖書。
陳密桃（2003）。認知負荷理論及其對教學的啟示。教育學刊，21，29-51。
黃克文（1996）。認知負荷與個人特質及學習成就之關聯。國立台北師範學院國 民教育研究所碩士論文，未出版，台北市。
黃柏勳（2003）。認知上的瓶頸—認知負荷理論。教育資料與研究，55，71-78。
董家莒和張俊彥（1999）。以「問題解決」為策略之電腦輔助教學學習成效：以 土石流單元為例。中華民國第十五屆科學教育學術研討會手冊，133。
廖焜熙、邱美虹（1996）。立體化學與空間能力。化學，54(2)，145-151。
潘文福（2001）。應用學習單的網路化教學設計與成效分析。國立台灣師範大學 教育研究所博士論文，未出版，台北市。
盧雪梅（1998）。實作評量的應許，難題與挑戰。教育資料與研究，20，1-5。
簡茂發、李琪明、陳碧祥（1995）。心理與教育測驗發展的貴與展望。測驗年刊，
42，1-12。
英文部分
Airasian P. W. (1996). Assessment in the classroom. New York: McGraw-Hall.
Bangert-Drowns, R. L., Kulik, J. A. & Kulik, C-L. C. (1985). Effectiveness of computer-based education in secondary schools. Journal of Computer-Based Instruction, 12, 59-68.
Baecker, R. & Small, I. (1990). Animation at the Interface. The Art of Human-Computer Interface Design,251-267.
57
Bishop, J. E. (1987). Developing students’ spatial ability. The science Teacher, 20-23.
Bloomer, C.M., (1990). Principles of Visual Perception. New York: Design Press.
Boyle, T. (1997). Design for multimedia learning. New York: Prentice Hall.
Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies.
New York: Cambridge University Press.
Cavin. C. S., & Lagowski, J. J. (1987). Effects of computer simulated or laboratory experiments and student aptitude on achievement and time in a college general chemistry laboratory course. Journal of Research in Science Teaching, 24(2),145-160.
Chang, C. Y. (2000). Enhancing tenth graders’ earth-science learning through computer-assisted instruction. Journal of Geoscience Education, 48, 636-640.
Chang, C. Y. (2002). The impact of different forms of multimedia CAI on students’
science achievement. Innovations in Education and Teaching International, 39, 280-288.
ChanLin, L. (2001). Formats and prior knowledge on learning in a computer-based lesson. Journal of Computer Assisted Learning, 17(4), 409-419.
Cook, M. P. (2006). Visual representation in science education: the influence of prior knowledge and cognitive load theory on instructional design principles. Science Education, 90, 1073-1091.
Cooper, G. (1998). Research into cognitive load theory and instructional design at UNSW. From http://education.arts.unsw.edu.au/CLT_NET_Aug_97.HTML.
Dancy, M.H. & Beichner, R. (2006). Impact of animation on assessment of conceptual understanding in Physics. Physical Review Special Topics - Physics Education Research, 2(1), 1-7.
Geban, O., Askar, P., & Ozkan, I. (1992). Effects of computer simulations and problemsolving approaches on high school students. Journal of Educational
58
Research, 86(1), 5-10.
Hughes, W. R. (1974). A study of the use of computer simulated experiments in the physics classroom. Journal of Computer Based Instruction, 1, 1-6.
Jex, H. R. (1988). Measuring mental workload: Problems, progress and promises. In P.
A. Hancock & N. Meshkati (Eds.), Human Mental Workload, 5-39. Amsterdam;
New York: North-Holland.
Kubiszyn, T., & Borich, G. (1987). Educational testing and measurement(2nd ed.).
Glenview, IL: Scott, Foresman.
Linn, M. C., & Peterson, A. C. (1985). Emergence and characterization of sex differences in spatial ability: A meta-analysis. Child Development, 56, 1479–1498.
Linn, R. L. & Gronlund, N. E. (1995). Measurement and Assessment in teaching(7th.
Ed.). Englewood Cliffs, NJ: Prentice-Hall.
Lohman, D. F. (1988). Spatial abilities as traits, processes and knowledge. In R. J.
Sternberg (Eds.),Advances in the psychology of human intelligence,181-248.
Hillsdale, NJ: Erlbaum.
Lord, T. R. (1985). Enhancing the visuo-spatial aptitude of students. Journal of Research in Science Teaching, 22(5), 395-405.
McGee, G. (1979). Human spatial abilities: Psychometric studies and environmental, genetic, hormonal,and neurological influences. Psychological Bulletin, 86, 899-918.
Mayer, R. E. (2001). Multimedia Learning. Cambridge, UK: Cambridge University Press.
Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38(1), 43-52.
Macnab, W., & Johnstone, A. H. (1990). Spatial skills which contribute to
59
competence in the biological science. Journal of Biological Education, 24(1), 37-41.
Okamura Kazumi, & Nakagawa Masaki (2002). A System for Preparing Animation by Pen Interfaces. IPSJ SIGNotes Human Interface, No.067.
Orion, N., Ben-Chaim, D., & Kali, Y. (1994). Relationship between earth science education and spatial visualization. Paper presented for annual meeting of National Association for Research in Science Teaching, Anaheim, CA.
Paas, F. (1992). Training strategies for attaining transfer of problem solving skill in statistics: A cognitive load approach. Journal of Educational Psychology, 84(4), 429-434.
Park, O. C. & Hopkins R. (1993). Instructional conditions for using dynamic visual displays: a review. Instructional Science, 21, 427-449.
Payne. D. A. (1997). Applied Educational Assessment. Boston : Wadsworth Publishing.
Reimann, P. (2003). Multimedia learning: beyond modality. Learning and Instruction, 13(2), 245-252.
Stevens, J. (1996, 3rd ed). Applied Multivariate Statistics for the Social Sciences.
Mahwah, New Jersey: Lawrence Erlbaum Associate, Inc.
Sweller, J. (1994). Cognitive load theory, learning difficulty, and instructional design.
Learning and Instruction, 4(4), 295-312.
Sweller, J. (2005). The redundancy principle in multimedia learning. In R.E. Mayer (Ed.), The Cambridge Handbook of Multimedia Learning , 159-167. New York:
Cambridge University Press.
Sweller, J. (2008). Cognitive bases of human creativity. Educational Psychology Review.
Sweller, J., van Merriënboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive
60
architecture and instructional design. Educational Psychology Review, 10, 251-295.
Tversky, B., Morrison, J. B., & Betrancourt, M. (2002). Animation: Does it facilitate learning? International Journal of Human-Computer Studies, 57, 247–262.
White, B. Y., & Schwarz, C. V. (1999). Alternative Approaches to Using Modeling and Simulation Tools for Teaching Science. In W. Feurzeig & R. N. (Eds.).
Modeling and Simulation in Science and Mathematics Education , 226-255. New
York: Springer.
Wouters, P., Paas, F, & van Merriënboer, J. J. G. (2008). How to optimize learning from animated models: A review of guidelines based on cognitive load. Review of Educational Research, 78, 645-675.
Wu, H. C., Yeh, T. K., & Chang, C. Y. (2010). The design of an animation-based test system in the area of Earth sciences. British Journal of Educational Technology, 41(3), E53-E57.
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附錄
附錄一 評量截圖
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附錄二 認知負荷量表與態度問卷
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