摘要：Currently, the demands on big data applications in varieties of fields are rising. The existence of big data has to be benefitted so that the information can be analysed creatively for the public’s interest. To ensure that the existence of big data can be beneficial to all parties, statistical skills and big data have to be integrated together with the changes in statistics education. This study is to explore the teachers’ views towards the changes in statistics education in Malaysia, as well as their views on the use of real-time big data in statistics education for Secondary Four students. This qualitative research involves two methods of data gathering, which are statistics education’s documents analysis, and partially structured interview involving ten teachers. Theme analysis is used to analyse the data. The outcome shows that according to the teachers, changes in statistics education are getting broader and suited with the needs of the generation of the era of big data. However, the aims of statistics education are difficult to achieve due to several obstacles that can be categorized into four main factors: 1 ) approach and arrangement of the contents of statistics education’s curriculum ; 2 ) the need of high-level statistical skill ; 3 ) teachers’ abilities in teaching statistics ; and 4 ) lack of supporting documents and tools, as an aid and guidance, for teachers teaching statistics. Supporting documents and tools are needed to help teachers in increasing their knowledge and pedagogical skill in teaching statistics, considering the rapid growth of the statistics field in the era of big data. The teachers are with a positive view that, the usage of real-time big data in Secondary Four students. The implication of this study is that the statistical education curriculum needs to be given attention and developed in line with the needs of students to prepare themselves in facing the big data phenomenon which will continue to grow in the future.
关键词：Teachers’ Views; Changes in Curriculum; Statistics Education; Real-Time Big Data;
