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研究生: 黃郁雯
論文名稱: 資訊科技融入中小學數學科教學之系統性文獻分析:2000年至2012年
Information and Computer Technology in K-12 Mathematics Classrooms: A Systematic Review of the Literature Published between 2000 and 2012
指導教授: 林美娟
學位類別: 碩士
Master
系所名稱: 資訊教育研究所
Graduate Institute of Information and Computer Education
論文出版年: 2014
畢業學年度: 102
語文別: 中文
論文頁數: 315
中文關鍵詞: 資訊科技融入教學系統性文獻分析中小學數學科教學
英文關鍵詞: Integrating information technology into instruction, Systematic review, K-12 mathematics teaching
論文種類: 學術論文
相關次數: 點閱:260下載:13
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  • 本研究使用系統性文獻分析法,彙整2000年至2012年期間發表於英文期刊之資訊科技融入中小學數學科教學之文獻共79篇,以探討資訊科技工具運用於數學科課堂教學之概況。研究者首先選定所欲搜尋之五個電子資料庫,並訂定搜尋字串,繼而擬定文獻篩選準則以選取符合本研究需求之文獻,接著使用資料萃取表,針對篩選所得之文獻萃取各篇文獻中與本研究相關之重要資料,最後進行萃取所得資料之彙整與分析。研究結果顯示,數學科之五大教學主題(數與運算、代數、幾何、測量、及資料分析與機率)皆可見資訊科技融入教學之案例,其中以「數與運算」(28.6%)、「幾何」(27.4%)、和「代數」(24.5%)之個案最為常見。在數學科所使用之資訊科技硬體設備方面,使用最多的是桌上型電腦(68.5%),次為圖形計算機(11.2%)及電子白板(10.1%),其他尚有使用筆記型電腦、平板電腦、及掌上型電腦之零星個案;至於軟體工具方面,數學科教學軟體以虛擬教具(19.2%)、動態幾何軟體(15.6%),以及指導式CAI軟體(15.6%)為主,其次為遊戲式CAI軟體(8.4%)以及搭配硬體設備使用之圖形計算機內建軟體(10.9%)、辦公室套裝軟體(8.4%)、及電子白板之內建軟體(6%)。資訊科技工具之特性中,則以「互動性」與「視覺化」最有利於學習。本研究另亦發現,以資訊科技工具為基礎所設計之學習活動可培養記憶、理解、應用、與評鑑等不同層次之認知能力,其中尤以利用資訊科技工具促進記憶層次之「回憶」以及理解層次之「舉例」與「推論」能力為主,其次則用於培養應用層次之「執行」與理解層次之「詮釋」能力,至於分析與評鑑層次則較為少見,創造層次更是付諸闕如。本研究結果應可作為中小學數學教師實施資訊科技融入教學之具體指引。

    The study used systematic review of research method. .The purpose of this research is to compile the literature published between 2000 and 2012 about the information and computer teachnology in K-12 mathematics classroom. It is a total of 79 literatures. The study fous on overview the information technology integrate into K-12 mathematics classroom.The first the researcher select desired search of five electronic databases, and set the search string, and then develop screening criteria to select the line with the literature of the research literature needs. And then use the data extraction tables for the extraction of the literature with important information. The final compilation and analysis of information obtained in the extraction. The results showed that the five teaching units (Number & Operations, Algebra, Geometry, Measurement, and Data Analysis & Probability) have case of information technology into teaching, in which the "Number & Operations" (28.6%), the "Geometry" (27.4%), and "Algebra" (24.5%) of the most common. In the hardware that the main types is desktop computers (68.5%), followed by graphics calculators (11.2%), and electronic whiteboard (10.1%), others have a little are like a notebook computer, tablet PC, handheld computers. And the software that the main types are the virtual manipulatives, dynamic geometry software (15.6 percent), and CAI software (15.6 percent), followed by the game software (8.4%), and graphics calculators the built-in software (10.9 percent), office software (8.4%), and whiteboard software the built-in (6%). The characteristics of the information technology tool are interactivity and visualization that the most to help students learning. The study also found that the integrating information technology into instruction can foster students’s cognitive abilities such as remember、understand、apply and evaluate. Especially in foster the main abilities is recalling of remember, exemplifying and inferring of understand, the next foster the executing of apply and interpreting of understand. The the analyze is rare and without the create. The results of this study should be used K-12 mathematics teachers to implement specific guidelines for integrating information technology into teaching.

    附表目錄 vi 附圖目錄 vii 第一章 緒論 1 第一節 研究背景 1 第二節 研究目的 2 第二章 文獻探討 3 第一節 資訊科技融入教學 3 第二節 資訊科技融入數學科教學之整合性研究 4 第三節 數學科教學較常見之資訊科技工具 7 第四節 布魯姆認知領域教育目標分類 15 第五節 系統性文獻分析法 22 第三章 研究方法 30 第一節 研究設計與流程 30 第二節 研究工具 40 第三節 資料處理與分析 42 第四章 結果與討論 49 第一節 資訊科技融入中小學數學科教學之現況 49 第二節 科技工具之特性 55 第三節 科技工具、學習活動與認知層次之關係 63 第四節 資訊科技融入數學科教學之成效 86 第五章 結論與建議 90 第一節 結論 90 第二節 教學應用之建議 92 第三節 未來研究之建議 93 參考文獻 96 附錄一 電子資料庫搜尋過程圖 111 附件二 資料萃取表格 120

    英文部分
    Abu-Naja, M. (2008). The influence of graphic calculators on secondary school
    pupils' ways of thinking about the topic " Positivity and negativity of functions".
    International Journal for Technology in Mathematics Education, 15(3), 103-118.
    Aktas, M., Bulut, M., & Yuksel, T. (2011). The effect of using computer animations
    and activities about teaching patterns in primary mathematics. Turkish Online
    Journal of Educational Technology, 10(3), 273-277.
    Anderson, W. & Krathwohl, D. R. (2001). A taxonomy for learning, teaching, and
    assessing: A revision of Bloom’s educational objectives. NY: Longamn.
    Andrews, R., Burn, A., Leach, J., Locke, T., Low, G., & Torgerson, C. (2002). A
    systematic review of the impact of networked ICT on 5–16 year olds’literacy in
    English (EPPI-Centre Review). In: Research Evidence in Education Library. Issue
    1. London: EPPI-Centre, Social Science Research Unit, Institute of Education.
    Arcavi, A. (2003). The role of visual representations in the learning of mathematics.
    Educational Studies in Mathematics, 52(3), 215-241.
    Bai, H., Pan, W., Hirumi, A., & Kebritchi, M. (2012). Assessing the effectiveness of a
    3‐D instructional game on improving mathematics achievement and motivation
    of middle school students. British Journal of Educational Technology, 43(6),
    993-1003.
    Baki, A., & Güveli, E. (2008). Evaluation of a web based mathematics teaching
    material on the subject of functions. Computers & Education, 51(2), 854-863.
    Biza, I. (2011). Students’ evolving meaning about tangent line with the mediation of a
    dynamic geometry environment and an instructional example space. Technology,
    Knowledge and Learning, 16(2), 125-151.
    Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956).
    Taxonomy of educational objectives: Handbook I: Cognitive domain. New York:
    David McKay, 19(56).
    Bolyard, J., & Moyer-Packenham, P. (2012). Making sense of integer arithmetic: The
    effect of using virtual manipulatives on students’ representational fluency. Journal
    of Computers in Mathematics and Science Teaching, 31(2), 93-113.
    Bouck, E. C., & Flanagan, S. M. (2010). Virtual manipulatives: What they are and
    how teachers can use them. Intervention in School and Clinic, 45(3), 186-191.
    Bronson, D. E., & Davis, T. S. (2011). Finding and Evaluating Evidence: Systematic
    Reviews and Evidence-based Practice. Oxford University Press.
    Brown, J. (2004). A Difficult Function. Australian Mathematics Teacher, 60(2), 6-11.
    Burns, B. A., & Hamm, E. M. (2011). A comparison of concrete and virtual
    manipulative use in third‐and fourth‐grade mathematics. School Science and
    Mathematics, 111(6), 256-261.
    Chang, K. E., Sung, Y. T., & Lin, S. F. (2006). Computer-assisted learning for
    mathematical problem solving. Computers & Education, 46(2), 140-151.
    Chang, K. E., Wu, L. J., Weng, S. E., & Sung, Y. T. (2012). Embedding game-based
    problem-solving phase into problem-posing system for mathematics learning.
    Computers & Education, 58(2), 775-786.
    Chen, Y. H., Looi, C. K., Lin, C. P., Shao, Y. J., & Chan, T. W. (2012). Utilizing a
    collaborative cross number puzzle game to develop the computing ability of addition and subtraction. Journal of Educational Technology & Society, 15(1),
    354-366.
    Cheung, A. C., & Slavin, R. E. (2013). The effectiveness of educational technology
    applications for enhancing mathematics achievement in K-12 classrooms: A
    meta-analysis. Educational Research Review,9, 88-113.
    Christmann, E. P., & Badgett, J. L. (2003). A meta-analytic comparison of the effects of computer-assisted instruction on elementary students’ academic achievement. I nformation Technology in Childhood Education Annual, 2003(1), 91-104.
    Denise E. Bronson, Tamara S. Davis. (2012). Finding and Evaluating Evidence:
    Systematic Reviews and Evidence-Based Practice. Pocket guides to social work
    research methods. Oxford University Press.
    Dixon-Woods, M., Bonas, S., Booth, A., Jones, D. R., Miller, T., Sutton, A. J., &
    Young, B. (2006). How can systematic reviews incorporate qualitative research?
    A critical perspective. Qualitative research, 6(1), 27-44.
    Doerr, H. M., & Zangor, R. (2000). Creating meaning for and with the graphing
    calculator. Educational Studies in Mathematics, 41(2), 143-163.
    Edwards, J., & Roblyer, M. D. (2000). Integrating educational technology into
    teaching. Merill, Upper Saddler river, NJ.
    Ellington, A. J. (2003). A meta-analysis of the effects of calculators on students'
    achievement and attitude levels in precollege mathematics classes. Journal for
    Research in Mathematics Education, 433-463.
    Ellington, A. J. (2006). The Effects of Non‐CAS Graphing Calculators on Student
    Achievement and Attitude Levels in Mathematics: A Meta‐Analysis. School
    Science and Mathematics, 106(1), 16-26.
    EPPI-Centre Web Site. (2012). Evidence for Policy and Practice Information and
    Co-ordinating Centre (EPPI-Centre). Retrieved December 12 ,2012 from the
    World Wide Web: http://eppi.ioe.ac.uk/cms/.
    Erbas, A. K., & Yenmez, A. A. (2011). The effect of inquiry-based explorations in a
    dynamic geometry environment on sixth grade students’ achievements in
    polygons. Computers & Education, 57(4), 2462-2475.
    Evans, J., & Benefield, P. (2001). Systematic reviews of educational research: does the
    medical model fit?. British educational research journal, 27(5), 527-541.
    Feldman, K. A. (1971). Using the work of others: Some observations on reviewing and
    integrating. Sociology of Education, 44(1), 86-102.
    Figueira-Sampaio, A. D. S., dos Santos, E. E. F., & Carrijo, G. A. (2009). A
    constructivist computational tool to assist in learning primary school
    mathematical equations. Computers & Education, 53(2), 484-492.
    Forster, P. A. (2006). Assessing technology-based approaches for teaching and learning
    mathematics. International Journal of Mathematical Education in Science and
    Technology, 37(2), 145-164.
    Forster, P. A. (2007). Technologies for teaching and learning about box plots and
    statistical analysis. International Journal for Technology in Mathematics
    Education, 14(3), 137-146.
    Garcia, M. D. M., & Romero, I. M. (2009). The influence of new technologies on the
    evolution of learning and attitudes towards mathematics in secondary students.
    Electronic Journal of Research in Educational Psychology, 7(1), 369-395.
    Ghosh, J. (2004). Exploring concepts in probability: Using graphics calculators.
    Australian Mathematics Teacher, 60(3), 25-31.
    Gough, D., Oliver, S., & Thomas, J. (2012). An introduction to systematic reviews.
    Sage Publications.
    Graham*, T., & Smith, P. (2004). An investigation into the use of graphics calculators
    with pupils in Key Stage 2. International Journal of Mathematical Education in Science and Technology, 35(2), 227-237.
    Gürbüz, R., & Birgin, O. (2012). The effect of computer-assisted teaching
    remedying misconceptions: The case of the subject “probability”. Computers & Education, 58(3), 931-941.
    Guven, B. (2012). Using dynamic geometry software to improve eight grade students'
    understanding of transformation geometry. Australasian Journal of Educational Technology, 28(2), 364-382.
    Harries, T., & Suggate, J. (2006). Exploring links across representations of numbers
    with young children. International journal for technology in mathematics education, 13(2).53-64.
    Harrison, C., Comber, C., Fisher, T., Haw, K., Lewin, C., Lunzer, E., & Watling, R.
    (2002). ImpaCT2: The impact of information and communication technologies on pupil learning and attainment. British Educational Communications and Technology Agency (BECTA).
    Harskamp, E., & Suhre, C. (2007). Schoenfeld’s problem solving theory in a student
    controlled learning environment. Computers & Education, 49(3), 822-839.
    Hauptman, H. (2010). Enhancement of spatial thinking with Virtual Spaces 1.0.
    Computers & Education, 54(1), 123-135.
    Healy, L., & Hoyles, C. (2001). Software tools for geometrical problem solving:
    Potentials and pitfalls. International Journal of Computers for Mathematical Learning, 6(3), 235-256.
    Hembree, R., & Dessart, D. J. (1986). Effects of hand-held calculators in precollege
    mathematics education: A meta-analysis. Journal for research in mathematics
    education,17(2), 83-99.
    Higgins, J. P., & Greens, S. (Ed.). (2006). Cochrane handbook for systematic reviews
    of interventions 4.2.6 (updated September 2006). Retrieved December 16, 2012
    from the world wide web
    http://www.cochrane .org/resources/handbook/hbook.htm.
    Hurme, T. R., & Järvelä, S. (2005). Students’ activity in computer-supported
    collaborative problem solving in mathematics. International Journal of Computers for mathematical learning, 10(1), 49-73.
    Hwang, W. Y., Chen, N. S., & Hsu, R. L. (2006). Development and evaluation of
    multimedia whiteboard system for improving mathematical problem solving. Computers & Education, 46(2), 105-121.
    Hwang, W. Y., Chen, N. S., Dung, J. J., & Yang, Y. L. (2007). Multiple representation
    skills and creativity effects on mathematical problem solving using a multimedia whiteboard system. Journal of Educational Technology & Society, 10(2), 191-212.
    Hwang, W. Y., Su, J. H., Huang, Y. M., & Dong, J. J. (2009). A study of
    multi-representation of geometry problem solving with virtual manipulatives and whiteboard system. Journal of Educational Technology & Society, 12(3), 229-247.
    Iskander, W., & Curtis, S. (2005). Use of colour and interactive animation in learning
    3D vectors. Journal of Computers in Mathematics and Science Teaching, 24(2), 149-156.
    Jones, K. (2000). Providing a foundation for deductive reasoning: students'
    interpretations when using dynamic geometry software and their evolving
    mathematical explanations. Educational studies in mathematics, 44(1-2), 55-85.
    Ke, F. (2008). Alternative goal structures for computer game-based learning.
    International Journal of Computer-Supported Collaborative Learning, 3(4), 429-445.
    Ke, F., & Grabowski, B. (2007). Gameplaying for maths learning: cooperative or not?.
    British Journal of Educational Technology, 38(2), 249-259.
    Kidron, I., & Zehavi, N. (2002). The role of animation in teaching the limit concept.
    International Journal of Computer Algebra in Mathematics Education, 9(3), 205-27.
    Kirschner, P. A., & Erkens, G. (2006). Cognitive tools and mindtools for collaborative
    learning. Journal of Educational Computing Research, 35(2), 199-209.
    Koklu, O., & Topcu, A. (2012). Effect of Cabri-assisted instruction on secondary
    school students’ misconceptions about graphs of quadratic functions.
    International Journal of Mathematical Education in Science and Technology,
    43(8), 999-1011.
    Kong, S. C. (2008). The development of a cognitive tool for teaching and learning
    fractions in the mathematics classroom: A design-based study. Computers &
    Education, 51(2), 886-899.
    Kong, S. C. (2011). An evaluation study of the use of a cognitive tool in a one-to-one
    classroom for promoting classroom-based dialogic interaction. Computers & Education, 57(3), 1851-1864.
    Kong, S. C., & Kwok, L. F. (2005). A cognitive tool for teaching the
    addition/subtraction of common fractions: A model of affordances. Computers & Education, 45(2), 245-265.
    Kordaki, M. (2003). The effect of tools of a computer microworld on students'
    strategies regarding the concept of conservation of area. Educational Studies in Mathematics, 52(2), 177-209.
    Kordaki, M., & Balomenou, A. (2006). Challenging students to view the concept of
    area in triangles in a broad context: Exploiting the features of Cabri-II. International Journal of Computers for Mathematical Learning, 11(1), 99-135.
    Kramarski, B., & Gutman, M. (2006). How can self‐regulated learning be supported in
    mathematical E‐learning environments?. Journal of Computer Assisted Learning, 22(1), 24-33.
    Kramarski, B., & Ritkof, R. (2002). The effects of metacognition and email
    interactions on learning graphing. Journal of Computer Assisted Learning, 18(1), 33-43.
    Krathwohl, D. R. (2002). A revision of Bloom's taxonomy: An overview.Theory into
    practice, 41(4), 212-218.
    Kynigos, C., & Latsi, M. (2006). Vectors in use in a 3D Juggling game simulation.
    International Journal for Technology in Mathematics Education, 13(1), 3-10.
    Lai, K., & White, T. (2012). Exploring quadrilaterals in a small group computing
    environment. Computers & Education, 59(3), 963-973.
    Lan, Y. J., Sung, Y. T., Tan, N. C., Lin, C. P., & Chang, K. E. (2010).
    Mobile-device-supported problem-based computational estimation Instruction for elementary school students. Journal of Educational Technology & Society, 13(3), 55-69.
    Lee, C. Y., & Chen, M. P. (2009). A computer game as a context for non-routine
    mathematical problem solving: The effects of type of question prompt and level of prior knowledge. Computers & Education, 52(3), 530-542.
    Leng, N. W. (2011). Using an advanced graphing calculator in the teaching and
    learning of calculus. International Journal of Mathematical Education in Science and Technology, 42(7), 925-938.
    Li, Q., & Ma, X. (2008). Technology in mathematics classroom: A meta-analysis of
    the recent literature. i-manager’s Journal School Educational Technology, 3(4),
    34-54.
    Li, Q., & Ma, X. (2010). A meta-analysis of the effects of computer technology on
    school students’ mathematics learning. Educational Psychology Review, 22(3), 215-243.
    Lin, C. P., Shao, Y. J., Wong, L. H., Li, Y. J., & Niramitranon, J. (2011). The impact of
    using synchronous collaborative virtual tangram in children's geometric. Turkish Online Journal of Educational Technology, 10(2), 250-258.
    Looi, C. K., & Lim, K. S. (2009). From bar diagrams to letter‐symbolic algebra: a
    technology‐enabled bridging. Journal of Computer Assisted Learning, 25(4), 358-374.
    Marrades, R., & Gutiérrez, Á. (2000). Proofs produced by secondary school students
    learning geometry in a dynamic computer environment. Educational studies in mathematics, 44(1-2), 87-125.
    Martin, P., & Velay, J. L. (2012). Do computers improve the drawing of a geometrical
    figure for 10 year-old children?. International Journal of Technology and Design Education, 22(1), 13-23.
    McLeod, J., Vasinda, S., & Dondlinger, M. J. (2012). Conceptual visibility and virtual
    dynamics in technology-scaffolded learning environments for conceptual knowledge of mathematics. Journal of Computers in Mathematics and Science Teaching, 31(3), 283-310.
    Moersch, C. (1995). Levels of technology implementation: A framework for measuring
    classroom technology use. Learning and Leading with Technology, 23(2), 40-42.
    Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items
    for systematic reviews and meta-analyses: the PRISMA statement. Annals of internal medicine, 151(4), 264-269.
    Moore, M. G. (1989). Three types of interaction. The American Journal of Distance
    Education, 3(2), 1-7.
    Moyer, P. S., Bolyard, J. J., & Spikell, M. A. (2002). What are virtual manipulatives?.
    Teaching children mathematics, 8(6), 372-377.
    Moyer, P. S., Salkind, G., & Bolyard, J. J. (2008). Virtual manipulatives used by K-8
    teachers for mathematics instruction: The influence of mathematical, cognitive, and pedagogical fidelity. Contemporary Issues in Technology and Teacher Education, 8(3), 202-218.
    Moyer-Packenham, P. S., & Bolyard, J. J. (2002). Exploring representation in the
    middle grades: Investigations in geometry with virtual manipulatives. The Australian Mathematics Teacher, 58(1), 19-25.
    Moyer-Packenham, P. S., & Suh, J. M. (2012). Learning mathematics with technology:
    The influence of virtual manipulatives on different achievement groups. Journal of Computers in Mathematics and Science Teaching, 31(1), 39-59.
    National Council of Teachers of Mathematics. (2000). Principles and standards for
    school mathematics. Reston VA: The Council.
    Nguyen, D. M., & Kulm, G. (2005). Using web-based practice to enhance mathematics
    learning and achievement. Journal of Interactive Online Learning, 3(3), 1-16.
    Nguyen, D. M., Hsieh, Y. C., & Allen, G. D. (2006). The impact of web-based
    assessment and practice on students’ mathematics learning attitudes. Journal of Computers in Mathematics and Science Teaching, 25(3), 251-279.
    Ogle, T., Branch, M., Christmas, O., Clement, J., Fillion, J., Goddard, E., & Vinson,
    M. (2002). Technology in Schools: Suggestions, Tools and Guidelines for Assessing Technology in Elementary and Secondary Education.
    Ozgun-Koca, S. A. (2008). Ninth grade students studying the movement of fish to
    learn about linear relationships:The use of video-based analysis software in mathematics classrooms. Mathematics Educator, 18(1), 15-25.
    Ozgun-Koca, S. A., & Edwards, T. (2011). Hands-on, minds-on or both? A discussion
    of the development of a mathematics activity by using virtual and physical manipulatives. Journal of Computers in Mathematics and Science Teaching, 30(4), 389-402.
    Papadopoulos, I., & Dagdilelis, V. (2008). Students’ use of technological tools for
    verification purposes in geometry problem solving. The Journal of Mathematical Behavior, 27(4), 311-325.
    Ploger, D., Klingler, L., & Rooney, M. (1997). Spreadsheets, patterns, and algebraic
    thinking. Teaching Children Mathematics, 3(6), 330-334.
    Rahim, M. H. (2002). A classroom use of the Geometer's Sketchpad in a mathematics
    pre-service teacher education program. Retrieved February, 22, 2002.
    Reimer, K., & Moyer, P. S. (2005). Third-graders learn about fractions using virtual
    manipulatives: A classroom study. Journal of Computers in Mathematics and Science Teaching, 24(1), 5-25.
    Roblyer, M.D., & Doering, A.H. (2010). Integrating educational technology into
    teaching. United States, Allyn & Bacon.
    Roschelle, J., Rafanan, K., Bhanot, R., Estrella, G., Penuel, B., Nussbaum, M., &
    Claro, S. (2010). Scaffolding group explanation and feedback with handheld technology: impact on students’ mathematics learning. Educational Technology Research and Development, 58(4), 399-419.
    Santos-Trigo, M. (2004). The role of dynamic software in the identification and
    construction of mathematical relationships. Journal of Computers in Mathematics and Science Teaching, 23(4), 399-413.
    Sayeski, K. L. (2008). Virtual manipulatives as an assistive technology support for
    students with high-incidence disabilities. Journal of Special Education Technology, 23(1), 47-53.
    Scheiter, K., Gerjets, P., & Schuh, J. (2010). The acquisition of problem-solving skills
    in mathematics: How animations can aid understanding of structural problem features and solution procedures. Instructional Science, 38(5), 487-502.
    Sedig, K. (2008). From play to thoughtful learning: A design strategy to engage
    children with mathematical representations. Journal of Computers in Mathematics and Science Teaching, 27(1), 65-101.
    Sinclair, M. P. (2003). Some implications of the results of a case study for the design of
    pre-constructed, dynamic geometry sketches and accompanying materials. Educational Studies in Mathematics, 52(3), 289-317.
    Song, K. S., & Lee, W. Y. (2002). A virtual reality application for geometry classes.
    Journal of Computer Assisted Learning, 18(2), 149-156.
    Steen, K., Brooks, D., & Lyon, T. (2006). The impact of virtual manipulatives on first
    grade geometry instruction and learning. Journal of Computers in Mathematics and Science Teaching, 25(4), 373-391.
    Stohl, H., & Tarr, J. E. (2002). Developing notions of inference using probability
    simulation tools. The Journal of Mathematical Behavior, 21(3), 319-337.
    Suh, J. (2010). Leveraging cognitive technology tools to expand opportunities for
    critical thinking in elementary mathematics. Journal of Computers in
    Mathematics and Science Teaching, 29(3), 289-302.
    Suh, J., & Moyer-Packenham, P. (2007). Developing students’ representational fluency
    using virtual and physical algebra balances. Journal of Computers in Mathematics and Science Teaching, 26(2), 155-173.
    Suh, J., Moyer, P. S., & Heo, H. (2005). Examining technology uses in the classroom:
    Developing fraction sense using virtual manipulative concept tutorials. Journal of Interactive Online Learning, 3(4), 1-21.
    Tabach, M., & Friedlander, A. (2008). Understanding equivalence of symbolic
    expressions in a spreadsheet-based environment. International Journal of Computers for Mathematical Learning, 13(1), 27-46.
    Tabach, M., Hershkowitz, R., & Arcavi, A. (2008). Learning beginning algebra with
    spreadsheets in a computer intensive environment. The Journal of Mathematical Behavior, 27(1), 48-63.
    Tajudin, M., Ahmad Tarmizi, R., Wan Ali, W. Z., & Konting, M. M. (2007). The
    Effects of Using Graphic Calculators in Teaching and Learning of Mathematics. Malaysian Journal of Mathematical Sciences, 1(1), 45-61.
    Tarmizi, R. A., Ali, W. Z. W., & Konting, M. M. (2011). The use of graphic calculator
    in teaching and learning of mathematics: Effects on performance and metacognitive awareness. American International Journal of Contemporary Research, 1(1), 59-72.
    Topcu, A. (2011). Effects of using spreadsheets on secondary school students’
    self-efficacy for algebra. International Journal of Mathematical Education in Science and Technology, 42(5), 605-613.
    Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing
    evidence‐informed management knowledge by means of systematic review. British journal of management, 14(3), 207-222.
    Tsuei, M. (2012). Using synchronous peer tutoring system to promote elementary
    students’ learning in mathematics. Computers & Education, 58(4), 1171-1182.
    Ubuz, B., Üstün, I., & Erbaş, A. K. (2009). Effect of dynamic geometry environment
    on immediate and retention level achievements of seventh grade students. Eurasian Journal of Educational Research, (35), 147-164.
    Wang, C. S., & Li, C. C. (2000). An assessment framework for information technology
    integrated instruction. In ICCE (International Conference on Computers in Education)/ICCAI (International Conference on Computer-Assisted Instruction ).
    Wei, C. S., & Ismail, Z. (2010). Peer interactions in computer-supported collaborative
    learning using dynamic mathematics software. Procedia-Social and Behavioral Sciences, 8, 600-608.
    What Works Clearinghouse. (2011). What Works Clearinghouse Procedures and
    Standards Handbook (Version 2.1). Retrieved December 12 ,2012 from the World Wide Web: http://ies.ed.gov/ncee/wwc.
    Winters, F. I., & Azevedo, R. (2005). High-school students' regulation of learning
    during computer-based science inquiry. Journal of Educational Computing Research, 33(2), 189-217.
    Wong, W. K., Yin, S. K., Yang, H. H., & Cheng, Y. H. (2011). Using
    computer-assisted multiple representations in learning geometry proofs. Journal
    of Educational Technology & Society, 14(3), 43-54.
    Wu, Y., & Wong, K. Y. (2007). Impact of a spreadsheet exploration on secondary
    school students’ understanding of statistical graphs. Journal of Computers in
    Mathematics and Science Teaching, 26(4), 355-385.
    Yang, D. C., & Tsai, Y. F. (2010). Promoting sixth graders’ number sense and learning
    attitudes via technology-based environment. Educational Technology & Society,
    13(4), 112–125.
    Yelland, N. (2002). Creating microworlds for exploring mathematical understandings
    in the early years of school. Journal of Educational Computing Research, 27(1),
    77-92.
    Yuan, Y. (2005). Design of virtual manipulatives for mathematical explorations using
    Flash ActionScript. In Proceedings of the 10th Asia Technology Conference in
    Mathematics (pp. 183-192).
    Zazkis, R., Dubinsky, E., & Dautermann, J. (1996). Coordinating visual and analytic
    strategies: A study of students' understanding of the group d4. Journal for
    research in Mathematics Education, 27(4), 435-457.
    Zurita, G., & Nussbaum, M. (2004). Computer supported collaborative learning using
    wirelessly interconnected handheld computers. Computers & education, 42(3),
    289-314. 
    中文部分
    王珀芬(2010)。資訊科技融入教學對國中小學生學習成效影響之後設分析。未
    出版博士論文,國立台南大學,台南市。
    江玉玲(2009)。數學虛擬教具對等值分數概念學習的影響。國立台灣師範大學
    資訊教育研究所碩士論文。未出版,台北市。
    何榮桂(2002)。台灣資訊教育的現況與發展-兼論資訊科技融入教學。資訊與教
    育,87,22-48。
    張國恩(1999)。資訊融入各科教學之內涵與實施。資訊與教育雙月刊,72,2-9。
    李曉萍(2010)。互動式電子白板運用於三年級數學教學之行動研究-以「數與量」
    概念及「幾何」概念為例。未出版碩士論文,台北市立教育大學,台北市。
    陳惠邦(2006)。互動白板導入教室教學的現況與思考。發表於台北市主辦:全
    球華人資訊教育創新論壇,2006年12月19日於宜蘭。線上檢索日期:2014
    年3月31日。
    姚念廷(2009)。數學動態學習環境製作之研究。國立交通大學理學院碩士在職
    專班網路學習學程碩士論文,未出版,新竹市。
    林保平(1995)。在動態、互動、可操作的電腦環境下探討 ax+by=n之非負整數
    解。科學教育研究與發展,1,40-49。
    林保平(2004)。公切圓之圓心軌跡-用動態幾何軟體探討幾何性質。科學教育
    月刊,271,2-9。
    黃美齡(2009)。運用EME Model於帶分數、假分數及其互換之教學研究。未出
    版碩士論文,台北市立教育大學,台北市。
    楊龍立(1997)。課程目標的理論研究-課程目標應否存在的探討。台北市:文景。
    楊立德(2007)。資訊科技融入數學科教學成效之研究以國小四年級數學分數為
    例。未出版碩士論文,台北市立教育大學,台北市。
    徐新逸(2003)。學校推動資訊融入教學的實施策略探究。教學科技與媒體,64,
    68-84。
    張春興(2008)。 教育心理學: 三化取向的理論與實踐 (修訂版). 台北市: 東華.
    劉世雄(2000)。國小教師運用資訊科技融入教學策略之探討。資訊與教育,78,
    60-66。
    謝哲仁(2001)。動態電腦幾何教學建構之研究。美和教育學報,19,199-211。
    謝進昌(2010)。國內教育學門系統性文獻評閱策略及後設分析發展現況與建議。
    國立台南大學教育研究學報,44(2),130-153。
    蔡欣嘉(2006)。九年一貫課程實施後資訊科技融入教學對國中、小學生學習成
    效影響之後設分析。未出版碩士論文,國立新竹教育大學,新竹市。
    顏明仁(2001)。高雄市國中學生科技認知之研究。國立臺灣師範大學工業科技
    教育研究所碩士論文,未出版,台北市。
    蕭英勵(2009)。中小學資訊科技融入教學研究趨勢與發展--以台灣地區2001~2009
    年學位論文為例。未出版博士論文,國立台南大學,台南市。

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