Development of a teaching framework for pre-service mathematics teachers
The main purpose of this study is to develop a teaching framework for pre-servicemathematics teachers. Specifically, this study validates the items that measure the constructs ofthe Teaching Framework for Pre-service Mathematics Teachers (TF@Maths) and examines whethermathematics content knowledge (...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | thesis |
| 語言: | eng |
| 出版: |
2018
|
| 主題: | |
| 在線閱讀: | https://ir.upsi.edu.my/detailsg.php?det=5092 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 總結: | The main purpose of this study is to develop a teaching framework for pre-servicemathematics teachers. Specifically, this study validates the items that measure the constructs ofthe Teaching Framework for Pre-service Mathematics Teachers (TF@Maths) and examines whethermathematics content knowledge (MCK), mathematical pedagogical knowledge (MPK), general pedagogicalknowledge (GPK), classroom management skills (CMS), and mathematical disposition (MDP)significantly relate to quality mathematics teacher (QMT). This study employed a quantitativeapproach to look at the constructs of a quality mathematics teacher from the perspective of thepre-service teachers. Data were collected using a questionnaire from a sample of 400 students whichwere randomly selected from three Public Universities (PUs) and seven Institutes of TeacherEducation (ITEs). Structural Equation Modelling (SEM) was applied to analyse the data. The resultsreveal an acceptable fit of the TF@Maths framework with satisfactory convergent validity,discriminant validity and reliability. All confirmatory factor analysis (CFA) models achievedconvergent validity with Average Variance Extracted above 0.50 and the value of constructreliability exceeded 0.70. These indicated that all items of each constructs could measure the sametraits. The Structural Equation Modeling analysis indicated significant overall fit of the modeland the discriminant validity showed that all correlation coefficient values were less than 0.90which indicated that all constructs were different significantly. The results also showed that MCK,MPK, GPK, CMS, and MDP are significant predictors of QMT. In conclusion, this study showed thatTF@Maths is well fitted and can be accepted as a valid and reliable instrument to determine aquality mathematics teacher. The study implicates that the TF@Maths framework and findings couldprovide a new instrument to help stakeholders in designing mathematics curriculum. |
|---|