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研究生:吳嘉惠
研究生(外文):Wu, Chia-Hui
論文名稱:視覺引導在代數教材設計之探討-以解二元一次聯立方程式為例
論文名稱(外文):Visual Guiding in Algebra Instructional Materials Design-Systems of First-order Algebraic Equations in Variables as an Example 
指導教授:陳明璋陳明璋引用關係
指導教授(外文):Chen, Ming-Jang
學位類別:碩士
校院名稱:國立交通大學
系所名稱:理學院科技與數位學習學程
學門:教育學門
學類:教育科技學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:中文
論文頁數:184
中文關鍵詞:二元一次聯立方程式多媒體學習認知負荷
外文關鍵詞:systems of first-order algebraic equations in variablesmultimedia learningcognitive load
相關次數:
  • 被引用被引用:10
  • 點閱點閱:368
  • 評分評分:
  • 下載下載:39
  • 收藏至我的研究室書目清單書目收藏:1
本研究探討不同的視覺引導教材設計於示例教學上,對學生學習成就表現與認知負荷差異的影響;以七年級數學二元一次聯立方程式單元為教材設計主題,採準實驗研究法於七年級常態班級進行實驗。並藉此研究初步發展認知負荷量表以及觀察專業知識反轉效應。
實驗結果分析得到:
1.不同的視覺引導教材設計於示例教學上,對於低先備知識學生(未學過學生)的學習成就有顯著的差異。融合代數教材設計原則的視覺引導教材設計,有助於低先備知識學生的學習成就表現。
2.不同的視覺引導教材設計於示例教學上,對於低學習成就學生的學習成就有顯著的差異。融合代數教材設計原則的視覺引導教材設計於示例教學上,有助於低學習成就學生的學習成就表現。
3.不同的視覺引導教材設計於示例教學上,對於高先備知識學生(已學過學生)的困難度認知負荷有顯著的差異。視覺引導教材皆能降低高先備知識學生的困難度認知負荷,而融合代數教材設計原則的教材,能降低更多。
4.不同的視覺引導教學設計於示例教學上,以效應值和學習者投入學習的觀點判斷,有專業知識反轉效應的產生。但對於高先備知識學習者和高學習成就學習者無負面影響。
關於初步發展的認知負荷量表,未臻成熟,有待未來繼續發展。

  In this study, we use different visual guiding materials to the worked-example teaching. The purpose is to discuss how the visual guiding materials can have effect both on students’ performance and their cognitive load. Our study designed the unit of systems of first-order algebraic equations in variables of mathematics for the seventh grade, and with quasi-experimental design, the experiment targets the classes of normalized class assignment. Meanwhile, we try to develop the rating scales of the cognitive load as a pilot study and explore the expertise reversal effect.
  The results are as follows.
  Firstly, the worked-example teaching with different visual guiding materials remarkably encourage learners of low prior knowledge. The material with the algebra material design principles is really helpful to the learners in their performance.
  Secondly, the worked-example teaching with different visual guiding materials remarkably encourage learners of low achievement in their performance. The material with the algebra material design principles is also helpful to the learners.
  Thirdly, the worked-example teaching with different visual guiding materials cause significant effect on the cognitive load of the difficulty from the learners of high prior knowledge. Visual guiding materials, especially those by algebra material design principles, can reduce the cognitive load of the difficulty more prominently.
  Finally, the worked-example teaching with different visual guiding materials principles lead to expertise reversal effect in view of the effect size and learners’ involvement. However, there is no negative impact on the learners of high prior knowledge and of high achievement in their performance.
  Nevertheless, there are still problems for the pilot study of the rating scales of cognitive load, and thus it remains to be improved with future studies.

中文摘要 I
英文摘要 II
誌謝 V
目次 VII
表次 X
圖次 XIII
第一章 緒論 1
1.1 研究動機與背景 1
1.2 研究目的 2
1.3 研究問題 3
1.4 研究範圍與限制 3
1.5 名詞解釋 4
第二章 文獻探討 7
2.1 認知負荷理論 7
2.1.1 認知負荷類型 8
2.1.2 認知負荷效應 10
2.1.3 認知負荷測量 15
2.1.4 對於本研究的幫助 22
2.2 多媒體學習理論 25
2.2.1 多媒體學習理論三大認知假設 25
2.2.2 多媒體認知學習的五個步驟 28
2.2.3 多媒體設計原則 28
2.2.4 對於本研究的幫助 33
2.3 適性指標 34
2.3.1 適性指標的定義 34
2.3.2 適性指標設計原則 35
2.3.3 適性指標與多媒體學習理論之設計原則 36
2.4 代數教材設計原則 38
2.4.1 教學內容結構化 38
2.4.2 教材呈現區塊化 38
2.4.3 建立訊息關聯 40
2.4.4 口語簡化解說 42
2.4.5 對於本研究的幫助 42
2.5 專業知識反轉效應 43
2.5.1 專業知識反轉效應的類型 43
2.5.2 專業知識反轉效應的判斷 46
第三章 研究方法 47
3.1 研究步驟 47
3.2 研究對象 48
3.3 研究設計 54
3.3.1 研究法 54
3.3.2 研究變項與假設 54
3.3.3 實驗流程 56
3.4 研究工具 57
3.4.1 教材修改 57
3.4.2 實驗工具 63
3.5 資料分析 75
3.5.1 SPSS 75
3.5.2 Effect size 75
3.5.3 學習效率 (Instructional Efficiency) 76
3.5.4 投入分數 (Instructional Involvement Score) 78
3.5.5 綜合學習成效與投入分數 79
第四章 研究結果與討論 81
4.1 受試學生測驗資料 81
4.1.1 整體 82
4.1.2 以是否學過再分組 85
4.1.3 以學習成就區分 90
4.2 資料分析與假設說明 98
4.2.1 學習成就分析 98
4.2.2 認知負荷分析 107
4.2.3 學習成就與認知負荷暨專業知識反轉效應分析 120
4.3 認知負荷量表分析 127
4.3.1 因素分析 127
4.3.2 信度分析 132
4.3.3 相關性分析 134
4.3.4 逐步迴歸分析 138
4.4 研究結果摘要 144
4.4.1 學習成就部份結果 144
4.4.2 認知負荷量部份 145
4.4.3 專家反轉效應部份 145
4.4.4 認知負荷量表部份 146
第五章 研究結論與建議 147
5.1 研究結論 147
5.2 建議 148
5.3 未來研究 150
參考文獻 153
中文文獻 153
英文文獻 155
附錄一 修改頁面呈現 160
附錄二 前測卷 173
附錄三 學習單 174
附錄四 後測卷 177
附錄五 認知負荷量表版本 179

論文PDF檔有「英文摘要」,但是系統網頁上的「英文摘要」卻沒有填上,請補上謝謝

中文文獻
王文科、王智弘(2009)。教育研究法。台北市:五南。
吳明隆(2007)。SPSS統計應用學習實務:問卷分析與應用統計。台北縣:知城圖書。
呂鳳琳(2009)。幾何證明不同文本呈現方式對學生認知負荷與閱讀理解影響之研究(碩士論文)。國立臺灣師範大學,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(博士論文)。臺灣師範大學,台北市。
李幸玟(2009)。前導組體型式與先備知識在多媒體學習成效與認知負荷上的影響──以國中地理科為例(碩士論文)。國立嘉義大學,嘉義市。
李鈴茹(2009)。教材設計與解說方式對於學習表現和眼動影響之初探-以三角形內角題目為例(碩士論文)。 國立交通大學,新竹市。
林煜庭(2008)。適性指標:多媒體學習中一種基於視覺認知理論的引導方式(碩士論文)。國立交通大學,新竹市。
邱皓政(2010)。量化研究與統計分析 SPSS(PASW)資料分析範例。台北市:五南。
高誌忠(2009)。焦慮情境下認知負荷型態對國小六年級學童數學解題活動之影響(碩士論文)。國立臺北教育大學,台北市。
張智君、朱祖祥(1995)。心理负荷多维主观评定的实验研究。人类工效学,1(2),4-7。
郭生玉(1995)。心理與教育測驗。台北縣:精華書局。
郭秀緞(2005)。以認知負荷的觀點探討數學問題設計的適切性。教育研究(高雄師範大學),13,169-182。
郭秀緞(2006)。以認知負荷理論探討數學問題設計與後設認知策略教學對國小高年級學生數學解題之影響(博士論文)。國立高雄師範大學,高雄市。
陳明璋(2008)。一個以授課為導向之數位教材設計及展演環境簡介--Activate Mind Attention (AMA)系統。國民教育,46(6),57-63。
郭璟諭(2003)。媒體組合方式與認知型態對學習成效與認知負荷之影響(碩士論文)。國立中央大學,桃園縣。
曾椿惠(2010)。激發式動態呈現對學習成效與認知負荷影響之研究-以一元一次方程式為例(碩士論文)。國立交通大學,新竹市。
楊培渝(2006)。認知負荷、焦慮情境對英語閱讀成效之影響(碩士論文)。雲林科技大學,雲林縣。
葉子榕(2010)。激發式動態教學對學習成效與認知負荷影響之研究(碩士論文)。國立交通大學,新竹市。
潘伯正(2009)。教材媒體組合方式與知覺偏好對學習成效與認知負荷之影響(碩士論文。國立臺北教育大學,台北市。
謝宗憲(2008)。探究媒體格式提升七年級學生電腦模擬電化學學習成效(碩士論文)。國立嘉義大學,嘉義市。
謝東育(2009)。激發式動態呈現教學設計之研究-以代數為例(碩士論文)。國立交通大學,新竹市。
謝財旺(2006)。適性化學習環境中學習者訊息處理能力與內容媒體型態的適配性對學習成效的影響(碩士論文)。國立中山大學,高雄市。
蘇義賢(2008)。電腦模擬教學在高中生活科技之應用-以室內配線教學為例(碩士論文)。國立嘉義大學,嘉義市。

英文文獻
Ayres, P. (2006). Using subjective measures to detect variations of intrinsic cognitive load within problems. Learning and Instruction, 16(5), 389-400. doi: 10.1016/j.learninstruc.2006.09.001
Baddeley, A. (1992). Working memory. Science, 255(5044), 556-559.
Baddeley, A. D. (1998). Human memory : theory and practice (Rev. ed.). Boston, Mass.: Allyn and Bacon.
Beckmann, J. F. (2010). Taming a beast of burden-On some issues with the conceptualisation and operationalisation of cognitive load. Learning and Instruction, 20(3), 250-264. doi: 10.1016/j.learninstruc.2009.02.024
Brünken, R., Plass, J., & Leutner, D. (2003). Direct measurement of cognitive load in multimedia learning. Educational psychologist, 38(1), 53-61. doi: 10.1207/S15326985EP3801_7
Bratfisch, O. (1972). Perceived Item-Difficulty in Three Tests of Intellectual Performance Capacity.
Cerpa, N., Chandler, P., & Sweller, J. (1996). Some conditions under which integrated computer-based training software can facilitate learning. Journal of Educational Computing Research, 15(4), 345-367. doi: 10.2190/MG7X-4J8N-CKYR-P06T
Chandler, P., & Sweller, J. (1991). Cognitive load theory and the format of instruction. Cognition and instruction, 8(4), 293-332.
Clark, J., & Paivio, A. (1991). Dual coding theory and education. Educational Psychology Review, 3(3), 149-170.
Clark, R. C., & Mayer, R. E. (2008). E-learning and the science of instruction : proven guidelines for consumers and designers of multimedia learning (2 ed.). San Francisco, CA Hoboken, NJ: Pfeiffer ; Wiley.
Clark, R. C., Nguyen, F., & Sweller, J. (2006). Efficiency in learning : evidence-based guidelines to manage cognitive load. San Francisco: Jossey-Bass.
Cooper, G., Tindall-Ford, S., Chandler, P., & Sweller, J. (2001). Learning by imagining. Journal of Experimental Psychology: Applied, 7(1), 68. doi: 10.1037/1076-898X.7.1.68.
DeLeeuw, K., & Mayer, R. (2008). A comparison of three measures of cognitive load: Evidence for separable measures of intrinsic, extraneous, and germane load. Journal of Educational Psychology, 100(1), 223. doi: 10.1037/0022-0663.100.1.223
Duval, R. (2006). A cognitive analysis of problems of comprehension in a learning of mathematics. Educational Studies in Mathematics, 61(1), 103-131. doi: 10.1007/s10649-006-000-z
Eggemeier, F. (1988). Properties of workload assessment techniques. Human mental workload, 52, 41-62.
Gerjets, P., Scheiter, K., & Catrambone, R. (2004). Designing instructional examples to reduce intrinsic cognitive load: Molar versus modular presentation of solution procedures. Instructional Science, 32(1), 33-58. doi: 10.1023/B:TRUC.0000021809.10236.71
Gerjets, P., Scheiter, K., & Catrambone, R. (2006). Can learning from molar and modular worked examples be enhanced by providing instructional explanations and prompting self-explanations? Learning and Instruction, 16(2), 104-121. doi: 10.1016/j.learninstruc.2006.02.007
Gopher, D., & Braune, R. (1984). On the psychophysics of workload: Why bother with subjective measures? Human Factors: The Journal of the Human Factors and Ergonomics Society, 26(5), 519-532.
Hart, S., & Staveland, L. (1988). Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. Human mental workload, 1, 139-183.
Kalyuga, S. (2006). Instructing and testing advanced learners: A cognitive load approach. New York, USA: Nova Science Publishers, Inc.
Kalyuga, S. (2007). Expertise reversal effect and its implications for learner-tailored instruction. Educational Psychology Review, 19(4), 509-539. doi: 10.1007/s10648-007-9054-3
Kalyuga, S. (2009). Managing cognitive load in adaptive multimedia learning: Information Science Publishing.
Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). The expertise reversal effect. Educational psychologist, 38(1), 23-31. doi: 10.1207/S15326985EP3801_4
Leahy, W., & Sweller, J. (2004). Cognitive load and the imagination effect. Applied Cognitive Psychology, 18(7), 857-875. doi: 10.1002/acp.1061.
Leahy, W., & Sweller, J. (2005). Interactions among the imagination, expertise reversal, and element interactivity effects. Journal of Experimental Psychology Applied, 11(4), 266. doi: 10.1037/1076-898X.11.4.266
Mayer, R., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational psychologist, 38(1), 43-52. doi: 10.1207/S15326985EP3801_6
Mayer, R. E. (2001). Multimedia Learning (I ed.). New York: Cambridge University Press.
Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge ; New York: Cambridge University Press.
Nygren, T. (1991). Psychometric properties of subjective workload measurement techniques: Implications for their use in the assessment of perceived mental workload. Human Factors: The Journal of the Human Factors and Ergonomics Society, 33(1), 17-33.
Paas, F., Tuovinen, J., Tabbers, H., & van Gerven, P. (2003). Cognitive load measurement as a means to advance cognitive load theory. Educational psychologist, 38(1), 63-71. doi: 10.1207/S15326985EP3801_8
Paas, F., Tuovinen, J. E., van Merriënboer, J. J. G., & Aubteen Darabi, A. (2005). A motivational perspective on the relation between mental effort and performance: Optimizing learner involvement in instruction. Educational Technology Research and Development, 53(3), 25-34. doi: 10.1007/BF02504795
Paas, F., van Merriënboer, J., & Adam, J. (1994). Measurement of cognitive load in instructional research. Perceptual and motor skills, 79(1 Pt 2), 419.
Paas, F. G. (1992). Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive-load approach. Journal of Educational Psychology, 84(4), 429. doi: 10.1037/0022-0663.84.4.429.
Paas, F. G. W. C., & Merriënboer, J. J. G. (1994). Variability of worked examples and transfer of geometrical problem-solving skills: A cognitive-load approach. Journal of Educational Psychology, 86(1), 122-133.
Paas, F. G. W. C., & van Merriënboer, J. J. G. (1993). The efficiency of instructional conditions: An approach to combine mental effort and performance measures. Human Factors: The Journal of the Human Factors and Ergonomics Society, 35(4), 737-743.
Plass, J., Chun, D., Mayer, R., & Leutner, D. (1998). Supporting Visual and Verbal Learning Preferences in a Second-Language Multimedia Learning Environment. Journal of Educational Psychology, 90(1), 25-36. doi: 10.1037/0022-0663.90.1.25
Reid, G., & Nygren, T. (1988). The subjective workload assessment technique: A scaling procedure for measuring mental workload. Human mental workload, 185-218.
Schnotz, W. (2010). Reanalyzing the expertise reversal effect. Instructional Science, 38(3), 315-323. doi: 10.1007/s11251-009-9104-y
Sweller, J. (2004). Instructional design consequences of an analogy between evolution by natural selection and human cognitive architecture. Instructional Science, 32(1), 9-31. doi: 10.1023/B:TRUC.0000021808.72598.4d
Sweller, J. (2010). Element Interactivity and Intrinsic, Extraneous, and Germane Cognitive Load. Educational Psychology Review, 22(2), 123-138. doi: 10.1007/s10648-010-9128-5
Sweller, J., van Merriënboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10(3), 251-296. doi: 10.1023/A:1022193728205
van Gog, T., & Paas, F. (2008). Instructional efficiency: Revisiting the original construct in educational research. Educational psychologist, 43(1), 16-28. doi: 10.1080/00461520701756248
Van Merriënboer, J. J. G., Kirschner, P. A., & Kester, L. (2003). Taking the load off a learner's mind: Instructional design for complex learning. Educational psychologist, 38(1), 5-13. doi: 10.1207/S15326985EP3801_2
van Merriënboer, J. J. G., & Sweller, J. (2005). Cognitive load theory and complex learning: Recent developments and future directions. Educational Psychology Review, 17(2), 147-177. doi: 10.1007/s10648-005-3951-0
Wittrock, M. (1989). Generative processes of comprehension. Educational psychologist, 24(4), 345-376.
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