Mathematical Cognition and Big Data Analytics: Are Sarawak Teachers Ready?
Mathematical Cognition and Big Data Analytics: Are Sarawak Teachers Ready?
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数学认知与大数据分析：砂拉越教师准备好了吗？
DOI：
10.33736/jcshd.1591.2020
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
F. Mohamad
中科院分区：
文献类型：
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作者：
Claudius Mitchell Hamarah;F. Mohamad
为了在砂拉越的数字经济议程（2018-2020）中保持相关性，砂拉越的数学教师需要将他们的内容与该州未来劳动力的当前期望保持一致。大数据分析是数字经济议程的关键驱动力，因为它被规定要加强砂拉越的经济增长。要精通大数据分析，必须掌握数学认知。本研究调查了砂拉越城市和农村的数学教师的准备情况，在他们的教学中突出数学认知，为砂拉越数字经济大数据分析的要求做好准备。参与者是38名教师，他们目前在砂拉越城乡地区的小学和中学教数学。数据是通过社交媒体发布的在线调查收集的。结果发现，尽管有多种人口因素，如学生的性别，学校类型，地区和多年的教学经验，在砂拉越数学教师使用的教学策略的选择没有差异。教师们完全了解数字经济议程，他们也意识到学生们的现状，他们认为学生们还没有准备好参加砂拉越数字经济议程。
关键词：数学;数学认知;大数据分析;数字经济
To remain relevant in Sarawak’s Digital Economy Agenda (2018-2020), Mathematics teachers in Sarawak need to align their content with current expectations for the future workforce in the state. Big data analytics is a crucial driver to the Digital Economy Agenda, as it is stipulated to intensify economic growth in Sarawak. To be fluent in big data analytics, one has to master mathematical cognition. This study investigates the readiness of Mathematics teachers in urban and rural Sarawak, to highlight mathematical cognition in their teaching, to prepare their students for the requirements of big data analytics for the digital economy in Sarawak. The participants are 38 teachers who are currently teaching mathematics in primary and secondary schools from urban and rural areas across Sarawak. Data was collected using an online survey that was distributed via social media. It was found that there was no difference in the choices of teaching strategies used by mathematics teachers in Sarawak despite multiple demographic factors such as gender of their students, types of school, districts and years of teaching experience. Teachers were fully aware of the digital economy agenda, and they were conscious of the current state of their students who were deemed still unprepared to take part in the Sarawak Digital Economy Agenda.
Keywords: Mathematics; Mathematical cognition; Big data analytics; Digital economy