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題名:數學學習氣質評量效度議題之探討
作者:陳靜姿
作者(外文):Ching-Tzu Chen
校院名稱:國立臺南大學
系所名稱:教育經營與管理研究所
指導教授:洪碧霞
學位類別:博士
出版日期:2006
主題關鍵詞:電腦化評量氣質行動傾向效度數學學習validitylearning actioncomputerized assessmentdispositionmathematics
原始連結:連回原系統網址new window
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鑑於學習氣質在終身學習社會的重要性,以及領域特定學習理念對教育介入的優勢著力可能,本研究旨在研發數學學習氣質評量工具,統整檢視學生認知與情意表現,建構數學學習氣質分類規準,探討數學學習氣質構念的效度議題。本研究將數學學習氣質構念操作性界定為學生正式與非正式數學學習表現和感受的特徵組型。數學學習氣質量化指標包括三部份:(1)數學學習情意評量,即學習的自主、興味和挫折恢復等三層面;(2)非正式數學學習評量是指學生在數學學習行動傾向電腦化評量的表現;(3)正式數學學習評量是指在校數學段考表現。研究中以國小五年級213位學生為樣本,進行數學學習氣質的分類,同時蒐集學生跨三個時間點(歷時八個月)的數學能力,分析不同數學學習氣質學生數學能力之成長組型。
研究中以線性結構模式(structural equation modeling, SEM)進行數學學習行動傾向構念模式的驗證分析,結果顯示該構念模式與實徵資料的整體配適度理想。本研究同時探討氣質構念操作性界定的合理性與適切性,研究中融合專家知識與統計資訊,採循環修訂歷程發展氣質分類規準,將學生之氣質類型區分為敏覺、努力、考試與逃避等四型,依序各約佔32%、18%、12%、14%,尚未歸類比例佔24%。該規準分類結果呈現相當合理的結構穩定度和分類一致性,跨作業氣質類型歸類一致性達75%,Kappa為.67;相對於統計集群分析,本研究所建構之分類規準在分類邏輯以及類型意義上,皆較清晰簡明,利於溝通與應用。
研究中同時針對不同數學學習氣質學生之典型特徵進行探討,敏覺型學生學習態度積極,學習表現優異,其學習情意、行動傾向以及在校數學表現均在平均水準之上,尤其行動傾向表現更佳;努力型學生學習情意、行動傾向以及在校數學表現均為中等以上;考試型學生比較害怕新的嘗試,學習情意屬於中下,在行動傾向表現相對的較差,對於在校數學成績較為在意,表現維持在平均水準以上;逃避型學生各項表現均待強化,其學習情意、行動傾向以及在校數學表現均在平均水準之下,尤其面對新的學習,行動力顯得較為薄弱;組內差異大而尚未能明晰歸類的學生則比較接近電動遊戲型。不同數學學習氣質類型同時呈現學習成長的差異,尤其是努力型與考試型學生跨時間點數學能力成長斜率的差異(努力型比考試型學生高.17),具體顯示本研究所發展氣質類型深具後續教育研究的潛力。提供學生適切的學習支持,協助學生經驗數學能力積極進展的歷程,觀察學生學習氣質的動態變化,是數學教育社群可以共同投入的方向。
The purposes of this study were to develop the construct model and the corresponding assessments on mathematics learning dispositions of elementary school children. Mathematics dispositions were operationally defined as the patterns of performances and feelings resulting from students’ formal and informal mathematics learning. There were three quantitative indicators of mathematics dispositions: (1) the computerized assessment of mathematics learning affection (autonomy, playfulness and resilience); (2) the computerized assessment of informal mathematics learning (mathematics game) actions; and (3) the scores of school mathematics. The mathematics dispositions indicators and mathematics abilities assessed by computerized adaptive testing at three different times (for eight months interval ) were collected for the 213 fifth graders to investigate the construct validity issues.
The classification criteria of mathematics learning dispositions were developed iteratively basing upon the expert knowledge and empirical statistics. The mathematics dispositions of students were classified into four types: alert, accumulative, test-focus, and evasive. The percentages of different dispositions were 32%, 18%, 12%, and 14%, respectively. The unclassified students were about 24%. The classification agreement on different tasks was 75% (Kappa .67). Compared to the cluster analysis, the meaning and the logic of classification proposed by the author were more clear, stable and sensible. The SEM (Structural Equation Modeling) analyses were carried out to check the model fit. The results supported the construct hypotheses quite well.
The alert-type students are prompt for mathematics learning. They enjoy all kinds of mathematics learning and perform very well. Their learning affection, actions, and performances in school mathematics are all above the means. Their efficient learning actions in computerized mathematics game are especially noticeable. The accumulative-type students are all above the middle low level. The test-focus-type students are timid for new attempts. Their learning affection is below the mean in spite of their relatively good scores on school mathematics. Their learning performances in computerized mathematics game are relatively low. The evasive-type students need substantial supports to strengthen their cognitive and affective learning aspects. Their learning affection, actions, and performances in school mathematics are all below the means. Their learning actions in computerized mathematics game are similar to random. There are also significant differences on mathematics ability growths among different dispositions. The average growth rate on mathematics abilities of the accumulative-type students is substantially higher than the test-focus-type students. The construct model of mathematics dispositions proposed was firmly supported by the empirical evidences. Possible directions for further studies were provided.
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