2021-01-012024-05-17https://scholars.lib.ntu.edu.tw/handle/123456789/679884Because the registration data from 2001 to 2006 shows that 3500~4700 students took the introductory statistics courses which account about 64~75% of the total number of students enrolled in statistics courses. Therefore, the primary goal of Statistical Education Center is to improve the quality of education courses and to coordinate teaching activities for introductory statistics and to establish a system for evaluation and distribution of resources. The main functions of Statistical Education Center is (1) to design the syllabus and contents of statistical courses, (2) to set the direction and goals for statistical education, (3) to provide training courses for statistical faculty and teaching assistants, (4) to establish the framework for distribution of statistical resources, (5) to prepare teaching materials, (6) to design the strategies for improving quality and performance index and evaluation for statistical education, (7) to hold symposiums on statistical education, (8) to provide statistical consult services for all intramural faculty and students, (9) to support the administrative affairs of the master program in Statistics. To design the system for provision of statistical education resource, in the Fall Semester of 2007, Statistical Education Center established a teaching model of the large-class lecture of 100 students and small-group statistical computer laboratory practice with a size of 25 to 30 students for the introductory statistics courses. To fit different needs of different disciplines from various departments and colleges, Statistical Education Center prepared different course materials for statistical computer laboratory practice including SAS, SPSS, EXCEL, and R. Statistical Education Center will aim to improve the quality of statistical teaching and research in the whole university, and adopt a multi-disciplinary study, develop students` basic statistical concepts and improve the practiced ability of statistical analysis. The key actions include the promotion of multi-disciplinary statistical modules courses, the construction of the statistics courses digital question bank system, the training of the statistics teaching assistants, the adjustment statistics and life general education courses into deep-bowl learning, the provision of statistical consulting services and support for the master`s degree program of statistics. In this way, the students` statistics learning efficiency and future employment competitiveness would be increased, and the teaching quality of statistical courses would be improved. The strategies and action actions for the 2021 project are given in the following: (1) to modify the contents and teaching ways of the statistical courses and computer laboratory practice for reacting to the rapid development of data science in Big Data era and to improve the students ability of Design and Problem-Solving, (2) to transform teaching statistics into models of deeply learning and reverse teaching, (3) to design and execute the statistical computer laboratory practice for the Spring and Fall Semesters of 2021, (4) hiring and training of new teaching assistants for the Spring and Fall Semesters of 2021, (5) to improve the effectiveness of the statistical computer lab practices and to implement the statistical computer lab teaching and to establish the internet digital teaching platform, (6) to evaluate the improving ways of statistical computer laboratory practice, (7) to revise the teaching materials for the statistical computer laboratory practice and prepare the new teaching materials, (8) to modify the teaching model for the general education course “Statistics and Life”, (9) to held symposiums on statistical software and statistical education, (10) to assist Academic Affairs Division analyzing teaching and educational data, (11) seminars on teaching experience for statistical professors and teaching assistants who teach introductory statistics, (12) to provide statistical consultation services to the NTU main campus and to establish the teaching platform of statistical consultation. (13) to provide administrative supports to the interdisciplinary MS program on statistics.Statistics; Statistical Education; Resource; Education Quality; Statistical Computer Laboratory; Digital teaching