| 摘要(英) |
Mathematics has always been a principal curriculum concern for parents and teachers. However, it is also the subject for many students to feel strong anxiety and frustration. In this study, the researcher, as a high school math teacher, aimmed to investigate the correlation between "High School Math Achievement" and "Performance Affecting Factors " in the hope of offering students, parents, teachers and school authorities referential suggestions in the teaching and learning of mathematics.
The factors affecting high school mathematics learning achievements could be categorized into extrinsic and intrinsic motivations. In this study, the researcher included the following four – “Scores of Basic Competence Test for Junior High School Students”, “After-school math tutoring”, “Student -Teacher Interaction”, and “Family Educational Resources” – as the extrinsic variables. On the other hand, “Learning Motivations” and “Mathematics Learning Anxiety” are the intrinsic ones affecting high school mathematics learning achievements. With 120 subjects from the 10th grade, non-gifted classes at one public high school in Taoyuan County, the study was based on the researcher’s self-generated model and students’ basic information for further descriptive statistical analyses, chi-square independence tests, logistic regression analyses and so forth.
The results, from the perspective of extrinsic motivations, showed a strong correlation among “Scores of Basic Competence Test for Junior High School Students”, “After-school math tutoring” , and “Family Educational Resources” . More specifically, among the three, “Family Educational Resources” was negatively correlated with high school mathiematics learning achievements. However, it should be noted that “Student-Teacher Interaction” showed no statistic significance with high school mathematic achievements. As for the intrinsic motivations, both “Learning Motivations” and “Mathematics Learning Anxiety” are significant variables influencing high school mathematics learning, and the later showed a much greater impact than the former.
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| 參考文獻 |
中文部份
1.100年國中畢業生多元進入宣導網站（2011）。多元入學管道說明，取自http://me.moe.edu.tw/junior/
2.王濟川、郭志剛（2004）。Logistic迴歸模型-方法及應用，五南書局，出版地：臺北市。
3.余民寧（1987）。考試焦慮、成就動機、學習習慣與學業成績之關係，國立政治大學，教育研究所，碩士論文。
4.吳明龍（2003）。SPSS統計應用學習實務-問卷分析與應用統計，知城數位科技，出版地：臺北市。
5.吳繡金（2006）。高中生數學學習成就之研究，輔仁大學，應用統計學研究所，碩士論文。
6.卓思廷(2008) 。國三學生學習態度、家庭支持、數學學習環境與其數學成就之相關研究，文化大學，碩士論文。
7.林姿諭(2007) 。數學焦慮認知與情意影響數學內在動機、自我概念與成就之模式：以PISA 2003香港資料為例，國立政治大學，教育研究所，碩士論文。
8.林盈妤(2007) 。老年人對身心健康功能與狀況感受度之重要性因素分析，國立中央大學，統計研究所，碩士論文，民國96年。
9.林清山(2003)，心理與教育統計學，東華書局，出版地：臺北市。
10.國民中學學生基本學力測驗推動工作委員會(2009)。98年兩次基測量尺總分擇優之PR值及累積人數對照表，取自http://www.bctest.ntnu.edu.tw/
11.教育部十二年國民基本教育網站（2011）。常見問答，取自
http://140.111.34.179/index.php
12.陳孜帆（2010）。影響高中生數學學習成就，國立中央大學，統計研究所，碩士論文。
13.陳志忠（2008）。影響學生學習數學之重要分析-以新竹高工進修學校為例，中華大學，碩士論文。
14.陳怡君（1993）。臺北區公立高中學生學習策略、學業興趣及性向與英、數兩科學業成就之關係，國立政治大學，教育研究所，碩士論文。
15.張春興（2001）。教育心理學-三化取向的理論與實踐，東華書局，出版地：臺北市。
16.許綺婷（2002）。探討國三學生對補習班與學校教學的看法及其與基本學測數學科之表現的關係，國立臺灣師範大學，科學教育研究所，碩士論文。
17.游俊雄（2007）。臺灣高中生數學成就及其相關因素之探討，國立中央大學，統計研究所，碩士論文。
18.楊伯軒（2007）。探討影響國二學生數學學習成就的因素-以TIMSS 2003為例，國立臺灣師範大學，數學研究所，碩士論文。
19.葉和滿（2001）。不同入學管道的高中的學習動機、學習策略與學業成就之研究，國立彰化師範大學，教育研究所，碩士論文。
20.鄭淑米（2006）。台中市高中職學生數學焦慮、數學自我效能與數學學業成就之研究，國立臺灣師範大學，數學系在職進修碩士班，碩士論文。
21.劉應興（2003）。類別資料分析導論，華泰書局，出版地：臺北市。
22.蕭宇凱（2007）。高一學生學習廣義角三角函數困難特質研究，國立臺灣師範大學，數學系在職進修碩士班，碩士論文。
23.薛艷秋（2004）。有關於多項邏輯斯迴歸模式的比較，國立中興大學，應用數學系，碩士論文。
24.龔心怡，林素卿和張馨文（2009）。家長社經地位與數學學習動機對數學學業成就之研究-以國中基本學力測驗數學領域為例，彰化師大教育學報，第15輯，121～142頁。
英文部份
1.Anastasios (Tasos) Barkatsas, Katerina Kasimatis & Vasilis Gialamas. (2009). Learning secondary mathematics with technology: Exploring the complex interrelationship between students’ attitudes, engagement, gender and achievement. Computers & Education, 52, 562–570.
2.Cai, Jinfa, John C. Moyer & Wang Ning (1997). Parental Roles in Students' Learning of Mathematics. The Annual Meeting of the American Educational Research Association, Chicago, IL, America, March 24-28.
3.Chen, C., Lee, S-H. & Stevenson, H.W (1996). Long-term prediction of academic achievement of American,Chinese,and Japanese adolescents. Journal of Education Psychology,18,750-759.
4.Cho Kin Cheng , Dwayne E. Paré, Lisa-Marie Collimore & Steve Joordens (2011). Assessing the effectiveness of a voluntary online discussion forum on improving students’ course performance. Computers & Education, 56, 253–261.
5.Eric Zhi, Feng LIU & Chun Hung LIN (2010, April). The survey study of mathematics motivated strategies for learning questionnaire (MMSLQ) for grade 10–12 Taiwanese students. Turkish Online Journal of Educational Technology, 9(2), 221-233.
6.Hosmer, D. W. & S. Lemeshow (1989). Applied logistic repression. John Wiley and Sons, New York.
7.Ina V.S. Mullis, Michael O. Martin & Pierre Foy (2008). TIMSS 2007 International Mathematics Report. Boston College.
8.Judith L. Meece , Allan Wigfield & Jacquelynne S. Eccles (1990). Predictors of math anxiety and its influence on young adolescents' course enrollment intensions and performance in mathematics. Journal of Educational Psychology, 82(1), 60-70.
9.Ma, X (2005). Growth in mathematics achievement:Analysis with classification and regression trees. Journal of Educational Research, 99(2), 78-86.
10.MacCann, Robert (1995, Aug). Sex Differences at the NSW Higher School Certificate After Adjustment for the Effects of Differential Selection.Australian Journal of Education, 39(2), 163-188.
11.Richardson, Suinn (1972). The Mathematics Anxiety Rating Scale. Journal of Counseling Psychology, 19(6), 551-554.
12.Tahira Khatoon (2010). Mathematics Anxiety Among Secondary School Students in India and its Relationship to Achievement in Mathematics. European Journal of Social Sciences, 16(1), 75-86.
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