Specialized knowledge of in-service primary education teachers to teach probability: Implications for continuous education

Author:

Franco Seguí Joan1ORCID,Alsina Ángel1ORCID

Affiliation:

1. Department of Subject-Specific Didactics, University of Girona, Girona, SPAIN

Abstract

The knowledge of in-service primary education teachers to teach probability is evaluated based on the mathematics teacher’s specialized knowledge (MTSK) model. Starting with a mixed methodology, the MTSK-probability questionnaire, validated beforehand, is used. Findings show insufficient specialized knowledge to teach probability: generally, the mean scores are 12.95 out of 38; more specific, the data indicate that scores in the sub-domains knowledge of topics, knowledge of practices in mathematics, and knowledge of mathematics teaching are significantly better than knowledge of the structure of mathematics, knowledge of features of learning mathematics, and the knowledge of mathematics learning standards, although the average norm scores in all knowledge subtypes are below 45 out of 100. We conclude that it is necessary to design continuous education programs that use different instruments and strategies to provide a more global approach to teacher’s knowledge, for example, with reflection on practice or learning communities, with the aim of improving the specialized knowledge of in-service primary education teachers to teach probability.

Publisher

Modestum Ltd

Reference57 articles.

1. Aguilar-González, Á., Muñoz-Catalán, C., Carrillo, J., & Rodríguez-Muñiz, L. J. (2018). ¿Cómo establecer relaciones entre conocimiento especializado y concepciones del profesorado de matemáticas? [How to establish relationships between specialized knowledge and conceptions of mathematics teachers?] PNA, 13(1), 41-61. https://doi.org/10.30827/pna.v13i1.7944

2. Alonso-Castaño, M., Alonso, P., Mellone, M., & Rodríguez-Muñiz, L. J. (2021). What mathematical knowledge do prospective teachers reveal when creating and solving a probability problem? Mathematics, 9, Article 3300. https://doi.org/10.3390/math9243300

3. Alsina, Á. (2012). La estadística y la probabilidad en educación Infantil: Conocimientos disciplinares, didácticos y experienciales [Statistics and probability in early childhood education: Pedagogical, didactic and experiential knowledge]. Didácticas Específicas, 7, 4-22.

4. Alsina, Á (2020). Enseñar estadística en educación primaria: Primeras recomendaciones desde el Enfoque de los Itinerarios de Enseñanza de las Matemáticas [Teaching statistics in primary education first recommendations from the mathematics teaching itineraries approach]. In C. Ribeiro y A. Pavan (Eds.), Investigações hispanobrasileiras em Educação Estatística (pp. 107-112). Editora Akademy.

5. Alsina, Á. (2021). ¿Qué puede hacer el profesorado para mejorar la enseñanza de la estadística y la probabilidad? Recomendaciones esenciales desde el enfoque de los itinerarios de enseñanza de las matemática [What can teachers do to improve the teaching of statistics and probability? Essential recommendations from the mathematics teaching itineraries approach]. NÚMEROS, Revista de Didáctica de las Matemáticas, 108, 49-74.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3