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研究生:王沛清
論文名稱:以精熟學習理論和雙碼理論發展數位化教學策略之研究以國民中學數學科為例
指導教授:趙志揚趙志揚引用關係
學位類別:博士
校院名稱:國立彰化師範大學
系所名稱:工業教育與技術學系
學門:教育學門
學類:專業科目教育學類
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:290
中文關鍵詞:精熟學習理論雙碼理論數位化教學策略學習態度學習成就
外文關鍵詞:Mastery Learning theorydual-coding theorydigital teaching strategylearning attitudelearning achievement
相關次數:
  • 被引用被引用:7
  • 點閱點閱:720
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:3
本研究旨在應用精熟學習理論和雙碼理論,以設計國民中學數學科教學策略,並發展相應之教學模式。考量實際教學現場,依研究計畫與目的,採準實驗研究法(quasi-experimental research)進行實驗教學。就台中市所屬市立國中一所,其97學年度所屬一年級數學科任課教師及任教班級之學生為研究對象。就一年級數學科任課教師意願立意取樣2位教師參與實驗,並就其任教數學課之一年級班級中,隨意抽取三班,採隨機分派方式,分成控制組與A、B兩個實驗組,共計三組6個班級,學生約204人,自97學年度第二學期期初起,進行兩個學期的實驗教學和前後兩次的學習態度量表量測及學習成就測驗。實驗結束後,就各組學生的學習成就與學習態度量表,作量化統計分析。另依實驗期程,進行質性的教室觀察與深度訪談。其中,深度訪談取樣的對象,計教師2名,學生8名,家長8名,共計18名。
綜合本研究質性研究資料與量化統計獲得以下結論:整合精熟學習理論與雙碼理論的實驗A組學生,在數學學習態度顯著優於實施傳統數位教學策略的實驗B組學生與實施傳統教學策略的控制組學生。而在學習成就方面,比較實驗教學實施前後,以實驗A組學生表現最佳,實驗B組次之,控制組仍然最差,但未達顯著差異。另外探討三種教學策略與影響因子間交互作用方面,則發現排除各項干擾因子對後測成績的影響後,實驗各組數學學習成就的後測成績不會因不同實驗教學策略而有顯著差異。

The main subject of this study is applying the Mastery Learning theory and dual-coding theory to the strategies of junior high school's mathematics teaching, for delvelopping varied multi-modes of junior high school's mathematical digital teaching materials and their corresponding teaching manners.
The author used quasi-experimental research on the quantification part, The mathematics teachers who taught the first-grader of junior high school, and the students of 2008 academic year, in one Taichung public junior high school, are the research targets. After acquiring those teachers' permission, there were two teachers, and three classes of their teaching classes (the first grade) students participating in this experiment. The participants were randomly divided into three groups: one controlled group, and two experimental groups, A and B. In total, there were around 204 students from 6 classes divided into 3 groups, starting from the beginning of the second semester of 2008 academic year, being proceeded with two semesters of experimental teaching and two learning attitude measure forms and achievement tests accordingly. The quantification statistic analysis was based on the data obtained from the learning achievement and attitude measures forms done by each group of students after the experiment completed. The author also implemented the qualitative classrooms observation and in-depth interview according to the schedule of the experiment. There were 2 teachers, 8 students, and 8 parents, altogether 18 persons, being interviewed thoroughly.
By combining the data of qualitative research with quantification statistical results, the author found that there was significant variation between two experimental groups of students in the attitude of mathematics learning. In the aspect of learning achievement part, after the experimental teaching terminated, Group A students got the best grades, followed by Group B's, and the controlled group students kept the status quo. Similarly, there was neither significant variation. As for the mutual effects between the teaching manners and the influence factors, the author found the grades of post-tests for the achievement of mathematics learning of each group would not vary significantly because of the distinct experimental teaching manners, after excluding various interfering factors. In the final part, the author supplied the relevant suggestions on the research theories.

謝 辭 I
摘 要 III
目 錄 IX
圖 次 XIII
表 次 XV
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 7
第三節 研究步驟 7
第四節 研究範圍與限制 14
第五節 重要名詞釋義 17
第二章 文獻探討 21
第一節 教學策略理論 21
第二節 精熟學習理論 43
第三節 雙碼理論 60
第四節 數位學習理論 71
第五節 數位學習教學策略 88
第三章 研究設計與實施 103
第一節 研究架構 103
第二節 研究對象 105
第三節 研究工具 105
第四節 研究實施 118
第五節 資料處理方法 125
第四章 研究結果分析與討論 129
第一節 研究對象之描述統計 129
第二節 不同教學策略對國中學生數學學習態度的影響 137
第三節 不同教學策略對國中學生數學學習成就的差異 143
第四節 教學策略與影響因子間交互作用分析 148
第五節 質性研究深度訪談 155
第五章 研究結論與建議 189
第一節 研究結論 190
第二節 建議 194
第三節 後續研究建議 204
參考文獻 207
附錄 245
附錄一 控制組教師深度訪談紀錄 245
附錄二 控制組同學深度訪談紀錄: 247
附錄三 控制組學生家長深度訪談紀錄 249
附錄四 國民中學學生數學領域學習態度預試量表 251
附錄五 國民中學學生數學領域學習態度正式量表 253
附錄六 教學計畫 255
附錄七 教室觀察記錄 265
附錄八 專家座談會議紀錄 285
附錄九 應用雙碼理論數位學習的教材設計 289

圖 次
頁次
圖1-1 研究流程與步驟 13
圖2-1 學習成效與環境因素 24
圖2-2 溝通流程 29
圖2-3 Bloom的學習理論 48
圖2-4 認知起點行為 49
圖2-5 情意起點特性 50
圖3-1 研究架構 104
圖5-1 整合型行政教學系統 199
表 次
頁次
表2-1 精熟學習理論應用在數位學習的相關研究 58
表2-2 多媒體教學中五種過荷學習情境及降低負荷的方法 67
表3-1 國民中學學生數學領域學習態度量表之項目分析 111
表3-2 國民中學學生數學領域學習態度量表因素分析 114
表3-3 國民中學學生數學領域學習態度量表信度分析 116
表3-4 97年定期考查數學科試題雙向細目表 117
表3-5 98年定期考查數學科試題雙向細目表 118
表3-6 第一次實驗教學之變項:前測與後測之實驗設計 124
表3-7 編碼說明 126
表4-1 實驗組班級各班學生數統計 130
表4-2 實驗組班級各班學生性別統計 131
表4-3 實驗組班級各班學生資訊能力統計 132
表4-4 實驗組班級各班學生上網資料搜尋情形統計 133
表4-5 實驗組班級各班學生上網聊天情形統計 134
表4-6 實驗組班級各班學生課後補習情形統計 135
表4-7 實驗組班級各班學生家庭資訊設備統計 136
表4-8 實驗組班級態度差異比較單因子變異數分析 138
頁次
表4-9 實驗組七大構面成對樣本的t檢定 138
表4-10 實驗組分組班級態度差異比較t 檢定 140
表4-11 實驗各組七大構面成對樣本的t檢定 141
表4-12 實驗教學前後數學學習成就變異數同質性考驗 143
表4-13 實驗教學前後數學學習成就單因子變異數分析 144
表4-14 實驗教學前後數學學習成就變異數分析的描述統計 145
表4-15 各組實驗教學前後數學學習成就成對樣本t檢定 146
表4-16 排除前測影響效果後之同質性考驗 148
表4-17 排除前測影響效果後之共變數分析 149
表4-18 排除前測影響效果後各組調整後平均數及事後比較 150
表4-19 排除學生上線學習影響效果後之同質性考驗 150
表4-20 排除學生上線學習影響效果後之共變數分析 151
表4-21 排除學生上線學習影響效果後平均數及事後比較 152
表4-22 排除學生課後補習影響效果後之同質性考驗 152
表4-23 實驗各組課後補習描述統計 153
表4-24 實驗各組課後補習與學習成就後測相關考驗 154

中文部份
王文科(1999)。課程與教學論。台北:五南。
王財印、吳百祿、周新富(2009)。教學原理。台北:心理。
朱湘吉(1994)。教學科技的發展理論與方法。台北:五南。
台灣創用CC計畫(2010)。授權條款一覽。2010年1月20日,取自http://creativecommons.org.tw/static/license。
江豐光(2003)。教學軟體設計製作-國小數學科形狀單元為例。視聽教育雙月刊,44(4),39-41。
何榮桂(1980)。電腦輔助教學系統中之測驗設計。載於國立台灣師範大學中等教育輔導委員會編。中等教育(雙月刊)資訊教育專號,41(2),29-34。
何榮桂(1991)。題目中項目參數分配型態對電腦化適性測驗選題的影響。中國測驗學會測驗年刊,38,71-96。
何榮桂(1996)。多媒體在教育上的應用。資訊與教育,55,1。
吳清山、林天祐(2005)。教育新詞書。台北:高等教育。

李宗薇(1997)。教學設計。載於黃政傑(主編),教學原理(67-116)。台北:師大書苑。
李雪莉(2000)。教師運用資訊網路能力調查。天下雜誌2000年教育特刊,94-102。
李毓娟(1995)。學習評量的新趨勢-專訪國立台灣師範大學教務長簡茂發教授。教育研究雙月刊,45,9-13。
李咏吟、單文經(1995)。教學原理。台北:遠流。
林世華(2000)。由多元評量的觀念看傳統評量的角色與功能。科學教育月刊,231,67-71。
林保平(2000)。教具學具觀點的數學科電腦輔助教學研究,行政院國家科學委員會補助專題研究計劃成果報告(編號:NSC:89-2511-S-133-001),未出版。
林紀慧(2002)。國小學童自我調節學習特質與不同電腦教學環境對自然概念學習之成效研究。新竹師院學報,15,69-89。
孟瑛如、周育廉、袁媛、吳東光(2001)。數學學習障礙學生多媒體學習系統的開發與建構:一步驟乘除法文字題。國小特殊教育,32,81-92。
邱皓政(2005)。量化研究與統計分析。台北:五南。
邱瓊慧(2002)。中小學資訊科技融入教學之實踐。資訊與教育,88,3-7。

柯皓仁(2004)。圖書館在數位學習中的角色。載於政治大學圖書資訊與檔案學研究所(主編),中國圖書館學會九十三年度數位學習與圖書館研習班研習手冊(72頁)。台北:政治大學圖書資訊與檔案學研究所。
洪雪芬(2002)。e-Learning融入數學領域教師進修之實施與探討。教育研究月刊,99,100-109。
張春興(1997)。教育心理學。台北:東華。
張春興(2001)。教育心理學-三化取向的理論與實踐。台北:東華。
張春興(2004)。現代心理學。台北:東華。
張盈盈(2002)。多媒體在國小數學教學上之應用。國教天地,150,47-50。
張雅芳﹙2001﹚。資訊科技融入國中英語教學之個案研究。教育研究資訊,9(5),129-148。
張雅芳(2003)。教師運用科技之相關因素探討。教育研究月刊,116,41-49。
張霄亭(1988)。視聽教育與教學媒體。台北:五南。
教育部(1984)。我國資訊教育現況與發展。2007年12月17日,取自http://www.edu.tw/
教育部(2004)。教育部資訊中心工作重點。2007年12月17日,取自http://www.edu.tw/EDU_WEB/ EDU_MGT/MOECC /EDU1835001/int/index.htm
教育部(2009)。教育部電算中心。2009年10月12日,取自http://www.edu.tw/moecc
教育部(2011a)。教育部數位學習白皮書。2011年2月20日,取自http://elearnwp.pro.edu.tw/images/ msg_images/20110309%E7%99%BD%E7%9A%AE%E6%9B%B8%E5%AE%8C%E7%A8%BF%E8%8D%89%E6%A1%88%E7%B0%BD%E6%A0%B8%E7%89%88.pdf
莊謙本(1995)。子電路電腦輔助教學評量模式探討。教學科技與媒體,22,2-9。
許禎哲(2003)。實際建置線上網路競賽系統:以數學競賽網路為例。視聽教育雙月刊,44(4),42-45。
許擇基、劉長萱(1991)。試題作答理論簡介。台北:中國行為科學社。
郭生玉(2000)。心理與教育測驗。台北:精華。
郭伯臣、陳桂霞(2003)。資訊融入教學之設計。載於行政院國家科學委員會專題研究計畫成果報告(報告編號:NSC 93-2521-S-142-004),未出版。
陳文隆(2000年11月)。精熟學習法在補救教學的應用研究。國民小學特殊教育啟智類教材庫。取自http://content.edu.tw/primary/ sp_edu /td_fh/good03.htm

陳正昌(1993)。正確的教學評量觀念—專訪臺中師院簡院長茂發。教育研究雙月刊,30,4-7。
陳佳賢(2001)。我國線上學習市場現況與未來展望。台北:財團法人資訊工業策進會。
陳明溥、張國恩(2007)數位學習服務品質之評鑑與落差探討。教學科技與媒體,82,56-67。
陳欣舜、蕭涵云(2003)。整合式學習,載於資策會數位教育研究所講師群著,數位學習最佳指引(4.1-4.44頁)。台北:資策會。
陳冠宇、陳雅萍、簡慧茹(2003)。企業導入e-learning 之五大構面考量。資訊與電腦,275,36-39。
陳建安、詹勳國(2003)。小三「分數和小數」CAI光碟教學之研究。資訊與教育,93,87-97。
粘子瑛(1990)。不放棄每一位學生。師友月刊,275,20-21。
曾振家、謝哲仁(2002)。多重表徵情境學習分數加法概念之設計。教育科技與媒體,60,94-102。
黃光雄、蔡清田(1999)。課程設計。台北:五南。
黃炳煌(1997)。課程理論之基礎。台北:文景。
黃武元、陳年興、葛建志、蔡俊彥、王錦裕(2002)。多媒體討論互動系統在數學教育應用之研究。教育科技與媒體,61,15-32。

楊正宏、金立誠(2003年4月)。建構精熟學習為基礎的網路教學平台-以「資料結構」為例。ICCAI 2003第十一屆國際電腦輔助教學研討會/第十六屆中華民國電腦輔助教學研討會,台北:國立台灣師範大學。
楊國賜(1985)。系統分析在教育革新上的應用。台北:水牛。
溫明正(2002)。E世代數位落差的衝擊。教育資料與研究,47,50-64。
溫嘉榮、施文玲(2002)。從網路學習理論觀點談教師科技變革中的因應之道。資訊與教育,91,90-99。
經濟部工業局(2004)。經濟部工業局93年專案計劃。台北:經濟部。
經濟部工業局(2005)。數位學習白皮書。台北:經濟部。
經濟部工業局(2006)。國家型科技計畫書面審查個別意見表。台北:經濟部。
經濟部工業局(2006)。我國數位學習產業發展措施具體建議報告。台北:經濟部。
經濟部工業局(2010)。2008台灣數位內容產業年鑑。2010年1月20日,取自http://proj3.moeaidb.gov.tw/nmipo/upload/publish/2008/2008_download.rar。
葉連祺、林淑萍(2003)。布魯姆認知領域教育目標分類修訂版之探討。教育研究月刊,105,94-106。
詹志禹(1993)。教學評量的趨勢。教育研究雙月刊,30,15-23。
資策會(2010)。2009數位學習產業現狀與產值調查初探。2010年1月20日,取自http://www.epark.org.tw/images/20100104170150image_6.rar。
鄒景平(2003)。數位學習概論。載於資策會數位教育研究所講師群著,數位學習最佳指引(1.2-1.23頁)。台北:資策會。
甄曉蘭(2004)。課程理論與實務÷解構與重建。台北:高等教育。
蔡秉燁、鍾靜蓉(2002)。資訊化教學系統設計之模型建置。資訊與教育,90,72-82。
蔡清田(2001)。課程改革實驗-以研究發展為根據的課程改革。台北:五南。
蔡德祿(2003)。數位學習標準概論。載於資策會教育訓練處講師群著,數位學習最佳指引(6.2~6.50頁)。台北:資策會。
蔡寶桂(2000)。透過WEB-BBS進行「數學步道」之溝通、解題。竹縣文教,22,6-11。
顏永進、何榮桂(2001)。資訊科技融入學習領域上設計策略初探。2007年12月11日,取自http://www.ntnu.edu.tw/csd/kao8/ 6issues/1-b.htm
譚寧君(2003)。一個有生命的評量機制-電子歷程檔案在國小數學教材教法課程的應用。國立台北師範學院學報,16(1),39-66。

英文部份
Abdullatif, I., Raja, M., & Shahrir, J. (2010). Assessment of students’ learning styles preferencesin the faculty of science. Procedia-Social and Behavioral Sciences, 2, 4087-4097.
Alessi, S. M., & Trollip, S. R. (1991). Computer-based instruction methods and development. Englewood Cliffs, NJ: Prentice-Hall.
Ames, C. (1978). Children’s achievement attributions and self-reinforcement: Effects of self-concept and competitive reward structure. Journal of Educational Psychology, 70, 345-355.
Anastasios, B. (2010). A New Scale for Monitoring Students’ Attitudes to LearningMathematics with Technology (MTAS). St Joseph’s College, Melbourne and University of Athens
Anderson, J. R., & Bower, G. H. (1973). Human associative memory. Washington, DC: Winston.

Anderson, J. R. (2005). Cognitive psychology and its implications. NY: Worth Publishers.
Anderson, L. W., Krathwohl, D. R., Airasian, P. W., Cruikshank, K. A., Mayer, R. E., Pintrich, P. R., Raths, J., & Wittrock, M. C. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives. NY: Longman.
Baddeley, A. D. (1986). Working memory. Oxford: Oxford University.
Bassani, P. B. S. (2011). Interpersonal exchanges in discussion forums: A study of learning communities in distance learning settings. Computers & Education, 56(4), 931-938.
Bennett, R. E. (1993). On the meanings of constructed response. In R. E. Bennett & W. C. Ward (Ed.), Construction versus choice in cognitive measurement issues in constructed response, performance testing, and portfolio assessment (pp.1-27). NJ: Hillsdale.

Benson, G. M. Jr. (1994). The lifelong learning society: Investing in the new learning technology market sector (Report No.IR016862). U. S., NY: Learning Systems Engineering, Stephentown. (ERIC Document Reproduction Service No. ED 375809)
Bitner, N., & Bitner, J. (2002). Integrating technology into the classroom: Eight keys to success. Journal of Technology and Teacher Education, 10(1), 95-100.
Bloom, B. S. (1981). All our children learning. NY: McGraw-Hill.
Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1976). Taxonomy of educational objectives: The classification of educational goals. Handbook I: Cognitive domain. NY: David McKay.
Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). Taxonomy of educational objectives: The classification of educational goals: Handbook І cognitive domain. NY: David Mckay.

Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1964). Taxonomy of educational objectives: The classification of educational goals: Handbook Ⅱ affective domain. NY: David Mckay.
Bob, M. (2007). Is your learning about mastery or competency? Chief Learning Officer, 14.
Bodemer, D., & Faust, U. (2006). External and mental referencing of multiple representations. Computers in Human Behavior, 22, 27-42.
Bowen, D. E. (2006). Implementation of mastery learning in online undergraduate math courses: A comparative analysis of student satisfaction, retention rates, and academic achievement. Retrieved from ProQuest Digital Dissertations. (AAT 3249879)
Braswell, J., & Kupin, J. (1993). Item formats for assessment in mathematics. In R. E. Bennett & W. C. Ward (Ed.), Construction versus choice in cognitive measurement issues in constructed response, performance testing, and portfolio assessment (pp.167-182). NJ: Hillsdale.
Breeding, L. (2000). Accuracy of casts generated from dual-arch impressions. Prosthetic Dentistry, 84(4), 403-407.
Bruning, R. H., Schraw, G. J., & Ronning, R. R. (1995). Cognitive psychology and instruction (2nd ed.) Englewood Cliffs, NJ: Prentice-Hall.
Buckley, E., & Rauch, D. (1979). Pilot project in computer assisted instruction for adult basic education students. Adult learning centers, The adult program, Great Neck Public Schools, Great Neck, NY. Final three year report. (2/77-6/79)(Report No. CE027849).
Bunderson, C. V., Inouye, D. K., & Olsen, J. B. (1989). The four generations of computerized educational measurement. In R. L. Linn (Ed.), Educational measurement (3rd ed.) (pp. 367-407). NY: Macmillan.
Burgess, J. R. P., & Russell, J. E. A. (2003). The effectiveness of distance learning initiatives in origination. Journal of Vocational Behavior, 63(2), 289-303.
Canelos, J. J. (1980). Evaluation of three types of instructional strategy for learner acquisition of intervals. Journal of research in Music Education, 28(4), 243-49
Carnine, D. (1984). The role of technology in school improvement. A presenter’s guide. Research based training for school administrators (Report No. EA018626). U. S., Oregon Univ., Eugene. Center for Educational Policy and Management. (ERIC Document Reproduction Service No. ED271847)
Carroll, J. B. (1963). A model of school learning. Teachers College Record, 64, 723-733.
Clark, J. M., & Paivio, A. (1991). Dual coding theory and education. Educational Psychology Review, 3(3), 149-170.
Clark, R., Nguyen, F., & Sweller, J. (2006). Efficiency in learning: evidence-based guidelines to manage cognitive load. San Francisco, CA: Pfeiffer.
Chute, A. B., Thompson, M. M. , & Hancock, B. W. (1999). The handbook of distance learning. NY: McGraw-Hill.
Daiber, R. A. (1988). Discovery, inquire and experimentation. In W. H. Kemp & A. E. Schwaller (Eds.), Instructional strategies for technology education (pp. 166-182). Mission Hills, CA: Glencoe.
DeCharms, A. (1968). Personal causation. NY: Academic.
Denis, M., & Mellet, E. (2002). Neural bases of image and language interactions. International Journal of Psychology, 37(4), 204-208.
Dick, W., & Carey, L. (1990). Systematic design of instruction. FL: Harper Collins Publishers.
Dodd, B. G., & Koch, W. R. (1994). Item and scale information functions for the successive intervals Rasch model. Educational and Psychological Measurement, 54, 873-885.
Dodd, B. G., Koch, W. R., & De Ayala, R. J. (1989). Operational characteristics of adaptive testing procedures using the graded response model. Applied Psychological Measurement, 13(2), 129-143.

Dombey, H. (2007). Editorial. Literacy, 41(3). 113-114.
Edmison, G. A. (1992). Modeling/gaming/simulation in the technology classroom. In G. A. Edmison & A. E. Schwaller (Eds.), Delivery systems: Teaching strategies for technology education (pp. 7-13). Reston, VA: International Technology Association.
Effand, Z., Chin, C. L., & Yusoff, D. M. (2010). The effects of cooperative learning on students’ mathematics achievement and attitude towards mathematics. Journal of Social Sciences, 6, 272-275.
Egan, K. B. (1999). Speaking: A critical skill and a challenge. Calico, 16(3), 277-293.
Elliott, M. (2002). Blended learning: The magic is in the mix. HTheH masie center.
Erhel, S., & Jamet, E. (2006). Using pop-up windows to improve multimedia learning. Se’verine Erhel, Laboratoire de Psychologie.

Esfendahad, H. S. (2010). A comporative study of learning styles among monolungial (Persian) and bilingual (Turkish Persian) secondary school student. Procedia-Social and Behavioral Sciences, 2010, 2419-2422.
Evans, T. D. (1996). Encouragement: The theory to reforming classroom. Educational Leadership, 54(1), 81-85.
Fennema, E., & Sherman, J. A. (1976). Fennema-Sherman mathematics attitudes scales.Instruments designed to measure attitudes toward the learning of mathematics by females and males. JSAS: Catalog of Selected Documents in Psychology, 6 (31), (Ms.No. 1225).
Fletcher, J. D., & Tobias, S. (2005). The multimedia principle. In R.E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 117-134). NY: Cambridge University Press.

Ford, B., & Klicka, M. A. (1998). The effectiveness of individualized computer asisted instruction in basic algebra and fundamentals of mathematices courses (Report No. SE062332). U. S.,Pennsylvania: Bucks County Community Coll., Newtown, PA. (ERIC Document Reproduction Service No. ED428962)
Frazee, B., & Rudniski, R. A. (1985). Intregrated teaching methods: Theory, classroom applications, and field-based connections. Albany, NY: Dalmar Publishers
Frieze, I., Francis, W., & Hanusa, B. (1983). Defining success in classroom learning. In J. Levine & M. Wang (Eds.), Teacher and students perceptions (pp. 3-28). Hillsadle, NJ: Erlbaum.
Gagné, R. M. (1968). Learning hierarchies. Educational Psycholosist, 6, 1-9.
Gagn’e, R. M., Briggs L. J., & Wager W. W. (1992). Principle of instructional design (4th ed). Orlando, FL: Harcourt Brace Jovanovich College Publishers.
Gagn’e, R. M., Mayer, J. R., Garstens, H. L., & Paradise, N. E. (1962). Factors in acquiring knowledge in a mathemetics task. Psychological Monographs, 76(14), 23.
Gagne, R., Briggs, L. , & Wager, W. (1992). Principles of instructional design (4th ed). Fort Worth, TX: HBJ College Publishers.
Gary, E. R., & Smeltzer, L. R. (1989). The competitive edge. NY: Macmillan.
Gary, J. L., & Starke, F. A. (1984). Organizational behavior. Columbus, OH: Charles E. Merrill Publishing.
Gibson, J. L., Ivancevich, J. M. , & Donnelly, J. H. (1991). Organization. Boston, MA: Irwin.
Goodykoontz, E., N. (2008). Factors That Affect College Students’ Attitude Toward Mathematics.Ed.D. 166.
Gonzalez-Barbon, V., & Anido-Rifon, L. (2010). From SCORM to common catridge: A step forward. Computers & Education, 54, 88-102.
Graham, S., & Weiner, B. (1983). Some educational implications of sympathy and anger from an attributional perspective. In R. Snow & M. Farr (Eds.), Aptitude learning, and instruction: Conative and affective policy analysis (pp 199-221). Hillsadle, NJ: Erlbaum.
Gredler, M. B. (1991). Learning and instruction: Theory and pratice. NY: Macmillan.
Guskey, T. R. (1997). Implementing mastery learning (2nd ed). NY: Wadeswoth.
Haladyna, T., Shaughnessy J., & Shaughnessy, J. M. (1983). A casual analysis of attitude toward mathematics. Journal for Research in Mathematics, 14, 19-29.
Hambleton, R. K., & Swaminathan, H. (1985). Itemresponsetheory: Principlesand applications. Boston: Kluwer.
Hamilton, R., & Ghatala, E. (1994). Learning and instruction. NY: McGraw-Hill.

Henak, R. M. (1988). Cooperative group interaction techniques. In W. H. Kemp & A. E. Schwaller (Eds.), Instructional strategies for technology education (pp. 143-164). Mission Hills, CA: Glencon.
Higgins, J. L. (1972). Research reporting sections, national council of teachers of mathematics 50th annual meeting (Report No. SE014128). Chicago, Illinois: ERIC Clearinghouse for Science, Mathematics, and Environmentl Education, Columbus, OH.( ERIC Document Reproduction Service No. ED064149)
Ifamuyiwa, S. A., & Akinsola, M. K. (2008). Improving senior secondary school student’s attitude towards mathematics through self and cooperative-instructional stragies. International Journal of Mathematical Education in Science & Techonology, 39, 569-585.
IMS(2011). Common Cartridge Working Group. Retrieved April 23, 2011, from http://www.imsglobal.org/commoncartridge.html

Ironsmith, M., & Eppler, M. A. (2007). Mastery learning benefits low-aptitude students. Teaching of Psychology, 34(1), 28-31.
Jenni, W., & Beardon, T. (2001). The power of the internet to challenge and inspire: The NRICH project. Australian Mathematics Teacher, 57(3), 22-29.
John, T. E. (2003). Dual coding versus relational processing in memory for concrete and abstract words. European Journal of Cognitive Psychology, 15(4), 481-509.
Johnson, I. H. (1985). Games and simulation. In W. H. Kemp & A. E. Schwaller (Eds.), Instructional strategies for technology education (pp. 183-200). Mission Hills, CA: Glencoe.
Johnson, M. (1967). Definitions and models in curriculum theory. Educational Theory, 17, 127-140.

Jonassen, D. H., & Reeves, T. C. (1996). Learning with technology: Using computers as cognitive tools. In D.H. Jonassen (ed). Handbook of Research for Educational Communications and technology. (pp. 693-719). NY: Macmillan.
Joyce, B., & Weil, M. (1992). Models of teaching. Boston, MA: Allyn & Bacon.
Just, M, A., Newman, S. D., Keller, T. A., McEleney, A., & Carpenter, A. P. (2004). Imagery in sentence comprehension: An fMRI study. NeuroImage, 21(1), 112-124.
Keller, J. M. (1983). Motivational design and instruction. In C. M. Reiguluth (Ed.). Instructional design theories and models: An overview of their current status. (pp. 383-434). Hillside, NJ: Lawerence erlbaum Associates.
Kelly, A. D., & Thomas, R. Z. (2007). Pigeons may not use dual coding in the radial maze analog task. Journal of Experimental Psychology: Animal Behavior Processes, 33(3), 262-272.
Kemp, J. E. (1985). The instructional design process. NY: Harper & Row.
Kerka, S. (1990). Interactive videodisc in vocational education. ERIC Digest No. 105. (Report No. CE056224).U.S., OH: Clearinghouse on Adult, Career, and Vocational Education, Columbus, OH. ( ERIC Document Reproduction Service No. ED325660)
Kaplan-Leiserson, E. (ed) (2006). Learning circuits glossary. Retrived October 1, 2006, from http://www.learningcircuits.org/ASTD/ Templates/LC/LC_OneBox.aspx?NRMODE=Published&NRORIGINALURL=%2fglossary&NRNODEGUID=%7bA1A2C751-7E81-4620-A0A3-52F3A90148EB%7d&NRCACHEHINT=NoModifyGuest#E
Kolovelonis, A., Goudas, M., & Dermitzaki, I.(2011). The effect of different goals and self-recording on self-regulation of learning a motor skill in a physical education setting. Learning and Instruction, 21(3), 355-364.

Koohang, A. A., & Stepp, S. L. (1984). Computer assisted instruction: A support for the mastery learning System (Report No IR014479). U.S., North Carolina. (ERIC Document Reproduction Service No. ED320563)
Kozma, R. B. (1987). The implications of cognitive psychology for computer-based learning tools. Educational Technology, 27(11), 20-25.
Krathwohl, D. R. (2002). A revision of Bloom’s taxonomy: An overview. Theory into Practice, 41(4), 212-219.
Kuo, M. L. A., & Hooper, S. (2004). The effects of visual and verbal coding mnemonics on learning Chinese characters in computer-based instruction. Educational Technology Research and Development, 52(3), 23-38.
Len, S. H., & Chris, H. (2010). Effecting affect: Developing a positive attitude to primary mathematics learning. Australian Primary Mathematics Classroom, 15, 18-24.

Lesh, R. (1983). Mathematical learning disabilities: Considerations for identification, diagnosis, and remediation. In R. Lesh, D. Mierkiewicz, & M. G. Kantowski(Eds.). Applied mathematical problem solving. Columbus, OH: ERIC/SMEAC.
Levine, D. (1985). Improving student achievement through mastery learning programs. San Francisco: Jossey-Bass.
Loidl, S. (2006). Towards pervasive learning: WeLearn. Mobile. A CPS package viewer for handhelds. Journal of Network and Computer Applications, 29(4), 277-293.
Lord, F. M. (1980). Applications of item response theory to practical testing problems. Hillsdale, NJ: Lawrence Erlbaum Associates.
Mager, R. (1988). Making instruction work. Belmont, CA: Lake.
Mark, S. (2005). A dual coding view of vocabulary learning. Reading & Writing Quarterly, 21, 221-238.
Martin, S. (2007). Interactive whiteboards and talking books: A new approach to teaching children to write. Literacy, 41(1), 26-34.
Mayer, R. E. (1997). Multimedia learning: Are we asking the right questions? Educational Psychologist, 32(1), 1-19.
Mayer, R. E. (1999). The promise of cognitive psychology. NY: W. H. Freeman and Company.
Mayer, R. E., & Moreno, R. (2002). Aids to computer-based multimedia learning. Journal of Learning and Instruction. 12(1), 107-119.
Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psycologist, 38(1), 43-52.
Mayer, R. (2009). Multimedia learning. NY: Cambridge University.
Mendrinos, R. (1994). Building information literacy using high technology: A guide for schools and libraries. Englewood, CO: Libraries Unlimited.
Maryam, K., Rohani, A. T., & Sahar, B. (2010). Relationship between Mathematical Thinking, Mathematics Anxiety and Mathematics Attitudes among University Students. Procedia Social and Behavioral Sciences, 8 ,537–542.
Mcleod, D. B., & Adams, V. M. (1979). The role of cognitive style in the learning of mathematics: A research study. Final Technical Report.
Moenikia, M., & Zahed, B. (2010). A study of simple and multiple relations between mathematics attitude, academic motivation and intelligence quotient with mathematics achievement. Procedia-Social and Behavioral Sciences, 2, 1537-1542.
Moore, J. L., Dickson-Deane, C., & Galyen, K. (2011). E-Learning, online learning, and distance learning environments: Are they the same? Internet and Higher Education, 14, 129-135.

Moreno, R., & Mayer, R. E. (2000). A coherence effect in multimedia learning: The case for minimizing irrelevant sounds in the design of multimedia instructional messages. Journal of Educational Psychology, 92, 117-125.
Motamedi, V., & Sumrall, W. J. (2000). Mastery learning and contemporary issues in education. Action in Teacher Education, 22(1), 32-42.
N. C. T. M. (2000). Defination of representation. Retrieved December 17, 2007 from http://www.learner.org/ channel/ courses/teachingmath/grades3_5/session_05/ section_03_a.html .
Niederhauser, D., & Stoddart, T. (2001). Teachers' instructional perspectives and use of educational software. Teching and Teacher Education, 17, 15-31.
Nigel, A. B., & James, L. A. (2006). An investigation into the effects that digital media can have on the learning outcomes of individuals who have dyslexia. Computers & Education, 47, 74-93.
Nur, S. (2010). The relationship between the attitudes towards mathematics and learning styles. Procedia Social and Behavioral Sciences, 9, 644–648
Olatunde, Y. P. (2009). Student attitude towards mathematics and academic achievement in some selected secondary schools in Soutwestern Nigeria. European Journal of Scientific Research, 3, 336-341.
Ornstein, A. C. (1999). Research for improving teaching. In A. C. Ornstein & L. S. Behar-Horenstein(Eds), Contemporary issues in curriculum (pp. 68-80). Boston, MA: Allyn & Bacon.
Paivio, A. (1969). Mental imagery in associative learning and memory. Psychological Review, 76(3), 241-263.
Paivio, A. (1971). Imagery and verbal processes. NY: Holt, Rinehart, and Winston.
Paivio, A. (1986). Mental representations: A dual coding approach. Oxford, England: Oxford University.

Paivio, A. (2006). Dual coding theory and education. Paper presented at the meeting of pathways to literacy achievement for high poverty children, University of Michigan School of Education.
Paivio, A., & Begg, I. (1981). The psychology of language. NY: Prentice-Hall.
Paris, S. G., & Paris, A. H. (2001). Classroom applications of research on self-regulated learning. Educational Psychologist, 36(2), 89-101.
Pea, R. D. (1985). Beyond amplification: Using the computer to reorganize mental functioning. Educational Psychologist, 20, 167-182.
Peggy, A. E. (1999). Addressing first- and second-order barriers to change: Stragies for technology integration. Educational Technology Research and Development, 47(4), 47-62.

Persichitte, K, A., Caffarella, E. P., & Tharp, D. D. (1999). Technology integration in teacher preparation: A qualitative research study. Journal of Technology and Teacher Education, 7(3), 219-233.
Preston, C., & Mowbray, L. (2008). Use of smart boards for teaching, learning and assessment in kindergarten science. Journal of the Australian Science Teachers Association, 54(2), 50-53.
Programme for International Student Assessment (2011). PISA 2009 Results. Retrieved May 2, 2011, from http://www.oecd.org/document/61/0,3746,en_32252351_32235731_46567613_1_1_1_1,00.html.
Ramasundaram, V., Grunwald, S., Mangeot, A., Comerford, N. B., & Bliss, C. M. (2005). Development of an environmental virtual field laboratory. Computers & Education, 45, 21-34.

Reiner, M., & Gilbert, J. (2000). Epistemological resources for thought experimentation in science learning. International Journal of Science Education, 22(5), 489-506.
Resnick, L. B. (1976). Task analysis in instructional design: Some cases from mathematics. In D. Klahr (Ed.), Cognition and Instruction (pp. 51-80). Hillsdale, NJ: Lawrence Erlbaum Associates.
Resnick, L. B., Siegel, A. W., & Kresh, E. (1971). Transfer and sequence in learning double classification skills. Journal of Experimental Child Psychology, 11, 139-149.
Reynolds, A. J., & Walberg, H. J. (1991). A structural model of science achievement. Journal of Educational Psychology, 83, 97-107.
Reynolds, A. J., & Walberg, H. J. (1992). A structural model of science achievement and attitude: An extension to high school. Journal of Educational Psychology, 84, 371-382.
Rosenberg, M. J. (2001). E-learning: Strages for deliverning knowledge in ther digital age. NY: McGraw-Hill.
Sadoski, M., & Paivio, A. (2001). A dual coding theory of reading and writing. Reading and Writing, 16, 259-262.
Salomon, G., Perkins, D. N., & Globerson, T. (1991). Partners in cognition: Extending human intelligent technologies. Educational Researcher, 20, 2-9.
Schnotz, W. (1993). Introduction to special issue on comprehension of graphics in texts. Learning and Instruction, 3, 151-155.
Schnotz, W., & Kulhavy, R. W. (1994). Comprehension of Graphics. Oxford, England: Pergamon.
Schwaller, A. E. (1995). Instructional strategies for technology education, In G. E. Martin (Ed.), Foundations of technology education (pp. 421-442). 44th Yearbook of the Council on Technology Education. Mission Hills, CA: Glencoe.

Smith, F., Hardman, F., & Higgins, S. (2006). The impact of interactive whiteboards on teacher–pupil interaction in the national literacy and numeracy strategies. British Educational Research Journal, 32(3), 443-457.
Sternberg, R. J. (2006). Cognitive psychology (4th ed). Belmont CA: Wadsworth Thomson Learning.
Tabbers, H. K., Martens, R. L., & van Merriënboer, J. J. G. (2004). Multimedia instructions and cognitive load theory: Effects of modality and cueing. British Journal of Educational Psychology, 74(1), 71-81.
Tennyson, R. D., & Rash, M. (1988). Linking cognitive learning theory to instructional prescriptions. Instructional Science, 17, 369-385.
Trabin, T. E., & Weiss, D. J. (1983). The person response curve: Fit of individuals to item response theory models. In D. J. Weiss (Ed.), New horizons in testing: Latent trait test theory and computerized adaptie testing (pp. 83-108). NY: Academic Press.

Tsai, M. J., & Tsai, C. C. (2003). Information searching strategies in web-based science learning: The role of internet self-efficacy. Innovations in Education and Teaching International, 40(1), 43-50.
UK Department for Innovation, Universities and Skills(2009). The Learning Revolution. Retrieved May 2, 2011, from http://www.official-documents.gov.uk/document/cm75/7555/7555.pdf.
Usiskin, Z. (1993). Lessons from Chicago mathematics project. Educational Leadership, 50(8), 14-18.
Vygotsky, L. S. (1978). Mind in society. Cambridge, MA: Harvard University.
Wainer, H., Dorans, N. J., Flaugher, R., Green, B. F., Mislevy, R. J., Steinberg, L. et al. (Eds.) (1990). Computerized adaptive testing: A primer. Hillsdale, NJ: Lawrence Erlbaum Associates.

Warren, A. D. (2003). Mastery learning: An basic introduction. Retrieved May 11, 2005 from http://allen.warren.net/ml.htm.
Weiner, B. (1972). Theories of motivation frommechanism to cognition. Chicago: Markham.
Weiner, B. (1979). A theory of motivation for some classroom experiences. Journal of Educational Psychology, 71, 3-25.
Weiss, D. J. (1985). Adaptive testing by computer. Journal of Consulting and Clinical Psychology, 53, 774-789.
Wides, J. W. (1979). Self-paced instruction in SPSS with multitutor. Paper presented at the Annual Conference on Academic Computing Applications.
Williams, L., Wiebe, E., Yang, K., Ferzli, M., & Miller, C. (2003). Computer Science Attitude Survey. Computer Science Education, 1, 1-5

Willows, D. M., & Houghton, H. A. (Eds.). (1987). The psychology of Illustration. Volume 1: Basic research and Volume 2. Instructional issue. NY: Springer-Verlag.
Wu, Y. T., & Tsai, C. C. (2005). Information commitments: Evaluative standards and information searching strategies in web-based environments. Journal of Computer Assisted Learning, 21(5), 374-385.
Yang, H. L., & Liu, C. L. (2006). Process-oriented elearning architecture in supporting mastery learning. International Journal of Innovation and Learning, 3, 635-657
Zhao, Y., & Cziko, A. G. (2001). Teacher adoption of technology: A perceptual control theory perspective. Journal of Technology and Teacher Education, 9(1), 5-30.


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1. 何榮桂(1980)。電腦輔助教學系統中之測驗設計。載於國立台灣師範大學中等教育輔導委員會編。中等教育(雙月刊)資訊教育專號,41(2),29-34。
2. 何榮桂(1991)。題目中項目參數分配型態對電腦化適性測驗選題的影響。中國測驗學會測驗年刊,38,71-96。
3. 李宗薇(1997)。教學設計。載於黃政傑(主編),教學原理(67-116)。台北:師大書苑。
4. 林世華(2000)。由多元評量的觀念看傳統評量的角色與功能。科學教育月刊,231,67-71。
5. 林保平(2000)。教具學具觀點的數學科電腦輔助教學研究,行政院國家科學委員會補助專題研究計劃成果報告(編號:NSC:89-2511-S-133-001),未出版。
6. 林紀慧(2002)。國小學童自我調節學習特質與不同電腦教學環境對自然概念學習之成效研究。新竹師院學報,15,69-89。
7. 孟瑛如、周育廉、袁媛、吳東光(2001)。數學學習障礙學生多媒體學習系統的開發與建構:一步驟乘除法文字題。國小特殊教育,32,81-92。
8. 邱瓊慧(2002)。中小學資訊科技融入教學之實踐。資訊與教育,88,3-7。
9. 洪雪芬(2002)。e-Learning融入數學領域教師進修之實施與探討。教育研究月刊,99,100-109。
10. 張盈盈(2002)。多媒體在國小數學教學上之應用。國教天地,150,47-50。
11. 張雅芳﹙2001﹚。資訊科技融入國中英語教學之個案研究。教育研究資訊,9(5),129-148。
12. 張雅芳(2003)。教師運用科技之相關因素探討。教育研究月刊,116,41-49。
13. 莊謙本(1995)。子電路電腦輔助教學評量模式探討。教學科技與媒體,22,2-9。
14. 陳佳賢(2001)。我國線上學習市場現況與未來展望。台北:財團法人資訊工業策進會。
15. 陳明溥、張國恩(2007)數位學習服務品質之評鑑與落差探討。教學科技與媒體,82,56-67。
 
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