Correlates of Ghanaian Teachers' Understanding of Mathematics Strands and Cognitive Domains in Basic Education Certificate Examination

Osei-Asibey Eunice
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Abstract

In the field of mathematics education, it is essential to grasp teachers' competence in recognizing cognitive domains, as it plays a pivotal role in elevating teaching methods, evaluation techniques, and ultimately enhancing student academic achievements. This study examines the proficiency of basic school teachers in Ghana in identifying the cognitive domains of mathematics questions using Bloom's Taxonomy. A sample of 338 teachers from across the regions of Ghana participated, selected through random sampling. Teachers were assessed using a set of 50 Basic Education Certificate Examination (BECE) past questions spanning a decade (2010-2022), covering Algebra, Geometry and Measurement, Data, and Number strands. Participants categorized each question according to Bloom's Taxonomy. Poisson regression analysis and Confirmatory Factor Analysis were employed to evaluate teachers' proficiency. Results indicated a statistically significant intercept term, suggesting a baseline performance level among teachers. Significant interaction effects between demographic and professional characteristics (Class:category, Class:SchTyp, TeachEx:SchTyp, TeachEx:Domain, and the main effect of Domain) influenced teachers' ability to identify mathematics domains. Teaching experience positively influenced scores, while school type had a negative impact. The model demonstrated high discriminatory power and strong predictive performance with an AUC of 0.996. Dependency analysis revealed that understanding Bloom's taxonomy domains influenced the identification of mathematics strands. Primary level teachers’ consistently demonstrated higher proficiency compared to Junior High School (JHS) level teachers. Additionally, experienced and qualified professionals performed better than pupil teachers. These findings highlight the importance of targeted interventions and professional development programs to enhance teachers' competency in identifying mathematics domains, thus improving mathematics education in Ghana.
加纳教师对基础教育证书考试中数学分支和认知领域理解的相关性
在数学教育领域,掌握教师识别认知领域的能力至关重要,因为这对提升教学方法、评价技巧以及最终提高学生的学业成绩起着举足轻重的作用。本研究考察了加纳基础学校教师使用布鲁姆分类法识别数学问题认知领域的能力。通过随机抽样,从加纳各地区抽取了 338 名教师参与研究。对教师的评估采用了一套 50 道基础教育证书考试(BECE)历年试题,时间跨度长达十年(2010-2022 年),涵盖代数、几何、测量、数据和数字等领域。参与者根据布鲁姆分类学对每道试题进行了分类。采用泊松回归分析和确证因子分析来评估教师的能力。结果表明,截距项在统计上有显著意义,表明教师的基线水平。人口统计学特征和专业特征(Class:category、Class:SchTyp、TeachEx:SchTyp、TeachEx:Domain 和 Domain 的主效应)之间的交互效应对教师识别数学领域的能力有显著影响。教学经验对得分有积极影响,而学校类型则有消极影响。该模型具有很高的判别能力和很强的预测性能,AUC 为 0.996。依赖性分析表明,对布鲁姆分类法领域的理解会影响数学分支的识别。与初中(JHS)教师相比,小学教师的熟练程度一直较高。此外,经验丰富的合格专业人员比学生教师的表现更好。这些发现凸显了有针对性的干预措施和专业发展计划的重要性,以提高教师识别数学领域的能力,从而改善加纳的数学教育。
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