期刊目錄列表 - 65卷(2020) - 【教育科學研究期刊】65(2)六月刊(本期專題:臺灣師資培育制度的變革與再提升)
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(專題)探索需求導向師資培育的政策干預:以變遷中的國民小學教育為例
作者:淡江大學教育政策與領導研究所張鈿富、加州州立聖荷西大學人文與藝術學院張曉琪
卷期:65卷第2期
日期:2020年6月
頁碼:223-250
DOI:10.6209/JORIES.202006_65(2).0008
摘要:
透過政策與實務的檢視,本研究目的在探討邁向未來的臺灣師資培育。由於出生率下降與教師的退休,師資供需的平衡已成為國民小學教育主要的問題。根據師資的供需模式,本研究選定國民小學階段作為案例探討此一問題。居於供需平衡的概念,本研究以設計的模式來呈現策略選擇的過程。供給面包括師資培育機構的就學人數即國民小學師資培育機構的容納量。需求面包括國民小學的容納量,用以反映此一系統內教師需求的減少或增加。自我迴歸平均移動統整模式與轉換模式用於建立預測國小師資及師資培育機構未來的容納量。研究結果顯示,師資培育機構需要考量少子化而重新調整,然而,國小教育規模的縮小師資培育機構未來仍受困於師資的過度供給。本研究建議根據預測的數值來調整生師比,此為政策干預的一個選項,可以提供國小教育階段師資供需更合理的平衡邏輯。本研究建議的模式可提供一個模擬範例,以探討未來師資供需複雜的問題。
關鍵詞:自我迴歸平均移動統整模式、教育政策、供給與需求、師資培育、轉換模式
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參考文獻:
- Achille, N., Haberman, S., & Consigli, G. (2018). A multivariate approach to project common trends in mortality indices. Retrieved from http://dx.doi.org/10.2139/ssrn.3149989
- Apple, M. W. (2001). Educating the “right” way: Markets, standards, god, and inequality. New York, NY: Routledge Palmer.
- Bisgard, S., & Kulachi, M. (2011). Time series analysis and forecasting by example. New York, NY: Wiley & Sons.
- Box, G. E. P., & Jenkins, G. M. (1976). Times series analysis: Forecasting and control. San Francisco, CA: Holden-Day.
- Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (2008). Time series analysis: Forecasting and control. New York, NY: John Wiley & Sons.
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- Achille, N., Haberman, S., & Consigli, G. (2018). A multivariate approach to project common trends in mortality indices. Retrieved from http://dx.doi.org/10.2139/ssrn.3149989
- Apple, M. W. (2001). Educating the “right” way: Markets, standards, god, and inequality. New York, NY: Routledge Palmer.
- Bisgard, S., & Kulachi, M. (2011). Time series analysis and forecasting by example. New York, NY: Wiley & Sons.
- Box, G. E. P., & Jenkins, G. M. (1976). Times series analysis: Forecasting and control. San Francisco, CA: Holden-Day.
- Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (2008). Time series analysis: Forecasting and control. New York, NY: John Wiley & Sons.
- Box, G. E. P., & Tiao, G. C. (1975). Intervention analysis with applications to economic and environmental problems. Journal of the American Statistical Association, 70(349), 70-79.
- Brockwell, P. J., & Davis, R. A. (1991). Time series: Theory and methods. New York, NY: Springer.
- Brockwell, P. J., & Davis, R. A. (2016). Introduction to time series and forecasting. New York, NY: Springer.
- Chamlin, M. B., & Sanders, B. A. (2017). Social policy and crash fatalities: A multivariate time series analysis. Journal of Crime and Justice, 41(3), 322-333. doi:10.1080/0735648X.2017.1360194
- Chang, D.-F., & ChangTzeng, H.-C. (2020). Patterns of gender parity in the humanities and STEM programs: The trajectory under the expanded higher education system. Studies in Higher Education, 45(6), 1108-1120. doi:10.1080/03075079.2018.1550479
- Chatfield, C. (1996). The analysis of time series: An introduction. London, UK: Chapman and Hall.
- Chen, D.-S. (2010). Higher education in Taiwan: The crisis of rapid expansion. Retrieved from http://www.isa-sociology.org/universities-in-crisis/?p=417
- Chen, S.-F., Ding, C.-Z., & Houng, L.-V. (1996). Reviewing the teacher preparation and teachers in-service training. Education Reform Booklet AA06. Taipei, Taiwan: Education Reform Council, Executive Yuan.
- Chi, C.-S. (2008). The social analysis of the discourses on teacher education in Taiwan. Research of Taiwan’s Education Sociology, 8(2), 47-85.
- Davies, R., Coole, T., & Osipyw, D. (2014). The application of time series modelling and Monte Carlo simulation: Forecasting volatile inventory requirements. Applied Mathematics, 5(8), 1152-1168.
- Department of Statistics, Ministry of Education. (2019). Basic data of elementary schools 2019. Retrieved from https://depart.moe.edu.tw/ED4500/News_Content.aspx?n=5A930C32CC6C3818&sms=91B3AAE8C6388B96&s=9D1CE6578E3592D7
- Green, W., Adendorff, M., & Mathebula, B. (2014). Minding the gap? A national foundation phase teacher supply and demand analysis: 2012-2020. South African Journal of Childhood Education, 4(3), 1-23. doi:10.4102/sajce.v4i3.222
- Huang, C.-L. (2017). Teacher education and art education. In D.-F. Chang (Ed.), The Republic of China Education Yearbook 2016 (pp. 255-278). New Taipei City, Taiwan: National Academy for Education Research.
- Huang, J.-L. (2019). A historical approach on the government-funded system for teacher preparation. Journal of Research in Education Sciences, 64(2), 99-129. doi:10.6209/JORIES.201906_64(2).0004
- Hsieh, C.-C. (2016). Teacher education reform and its impact on teachers colleges in Taiwan: An analysis and reflections based on sociological institutionalism. Journal of Research in Education Sciences, 61(2), 29-56. doi:10.6209/JORIES.2016.61(2).02
- Hwang, Y.-H., & Fwu, B.-J. (2010). Teacher education in Finland: The research-based paradigm and curricular praxis. Bulletin of Educational Research, 56(3), 105-137.
- Hyndman, R. J., & Athanasopoulos, G. (2013). Forecasting: Principles and practice. Melbourne, Australia: OTexts.
- Lin, H.-F., Wang, H.-L., & Teng, P.-H. (2007). The current situation, policy and prospect of elementary and secondary teacher education in Taiwan. Journal of Educational Research and Development, 3(1), 58-80.
- Ljung, G. M., & Box, G. E. P. (1978). On a measure of lack of fit in time series models. Biometrika, 65(2), 297-303.
- Minitab. (2018). Interpret the key results for ARIMA. Retrieved from https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/time-series/how-to/arima/interpret-the-results/key-results/?SID=117600
- Ministry of Education. (2004). The quantitative plan for teacher education in Taiwan. Retrieved from http://hcka.woby.com.tw/boardpic/b_2006925193056.doc
- Ministry of Education. (2006). Statistics of teacher education R.O.C.: 2005. Taipei, Taiwan: Author.
- Ministry of Education. (2008). Educational statistics: The Republic of China, 2008. Taipei, Taiwan: Author.
- Ministry of Education. (2013). White paper for teacher education ROC. Retrieved from https://ws.moe.edu.tw/001/Upload/3/RelFile/6315/6921/%E4%B8%AD%E8%8F%AF%E6%B0%91%E5%9C%8B%E5%B8%AB%E8%B3%87%E5%9F%B9%E8%82%B2%E7%99%BD%E7%9A%AE%E6%9B%B8.pdf
- Ministry of Education. (2018a). Educational statistics 2017, the Republic of China. Retrieved from https://stats.moe.gov.tw/files/ebook/Education_Statistics/106/106edu_EXCEL.htm
- Ministry of Education. (2018b). 2019 teacher education policy directions. Retrieved from http://depart.moe.edu.tw/ED2100/News_Content.aspx?n=D23E9B1FC9ED5D63&sms=4186928212B88A3A&s=62C055155DDB78C0
- Ministry of Education. (2018c). 2019 plan of policy implementation. Retrieved from https://ws. moe.edu.tw/001/Upload/3/relfile/6312/60737/d98954df-0427-4da6-b47a-4355c9c942ba.pdf
- Ministry of Education. (2018d). Yearbook of teacher education statistics. Taipei, Taiwan: Author.
- Nath, B., Dhakre, D. S., & Bhattacharya, D. (2019). Forecasting wheat production in India: An ARIMA modelling approach. Journal of Pharmacognosy and Phytochemistry, 8(1), 2158-2165.
- Nau, R. (2014). ARIMA models for time series forecasting. Retrieved from https://people.duke.edu/~rnau/411arim.htm
- Organization for Economic Co-operation and Development. (2017). OECD education at a glance 2017: OECD indicators. Paris, France: Author.
- Rotela, Jr., P., Salomon, F. L. R., & Pamplona, E. de O. (2014). ARIMA: An applied time series forecasting model for the Bovespa stock index. Applied Mathematics, 5(21), 3383-3391. doi:10.4236/am.2014.521315
- Shai, J.-J. (2005). The critical reflection on the market discourse in teacher education policy. Research of Taiwan’s Education Sociology, 5(1), 119-157.
- Shoung, R.-M., & Chi, C.-S. (2002). Formation of policy domain and influence of mechanism in Teacher Education Act of 1994. Taiwan Sociology, 4, 199-246. doi:10.6676/TS.2002.4.199
- Shumway, R. H., & Stoffer, D. S. (2017). Time series analysis and its applications with R examples (4th ed.). Cham, Switzerland: Springer.
- Souza, E. M., & Felix, V. B. (2018). Wavelet cross-correlation in bivariate time-series analysis. Tendências em Matemática Aplicada e Computacional, 19(3), 391-403. doi:10.5540/tema.2018.019.03.0391
- Steiner-Khamsi, G. (2016). New directions in policy borrowing research. Asia Pacific Education Review, 17, 381-390. doi:10.1007/s12564-016-9442-9
- Sutcher, L., Darling-Hammond, L., & Carver-Thomas, D. (2016). A coming crisis in teaching? Teacher supply, demand, and shortages in the U.S (research brief). Palo Alto, CA: Learning Policy Institute.
- Wang, L.-Y., & Hsu, M.-J. (2015). Features of Finnish teacher education system and its implications for teacher education in Taiwan. Journal of Educational Practice and Research, 28(1), 167-206.
- Weldon, P. R. (2015). The teacher workforce in Australia: Supply, demand and data issues. Policy Insight, 2, 1-20.
- Wu, S.-H. (2006). Finnish surprise: The story of leading global competitiveness. Taipei, Taiwan: Yuan Liu.
- Young, M. N. (1998). Rethinking teacher education for a global future: Lessons from the English. Journal of Education for Teaching, 24(1), 51-62. doi:10.1080/02607479819917
- Yuan, C., Liu, S., & Fang, Z. (2016). Comparison of China’s primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM (1, 1) model. Energy, 100, 384-390. doi:10.1016/j.energy.2016.02.001
Journal directory listing - Volume 65 (2020) - Journal of Research in Education Sciences【65(2)】June (Special Issue: The Innovation and Enhancement of Teacher Professional Development in Taiwan)
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(Special Issue) Exploring Policy Intervention for Demand-driven Teacher Preparation: A Case Study in Changing Elementary Education
Author: Dian-Fu Chang (Graduate Institute of Educational Policy and Leadership, Tamkang University), Angel Chang (College of Humanities and the Arts, San José State University)
Vol.&No.:Vol. 65, No.2
Date:June 2020
Pages:223-250
DOI:10.6209/JORIES.202006_65(2).0008
Abstract:
This study aims to explore teacher preparation education over the next decade in Taiwan byreviewing previous policy and praxis. Due to the declining birth rate and teacher retirement, balancing teacher supply and demand has become a crucial issue in elementary education. Based on teacher supply and demand models, we selected elementary education as a case example to tackle this issue. Grounded in the notion of balancing supply-demand, this study demonstrates the process of strategy selection in the designed models. The supply side includes enrollment in teacher training programs in terms of capacity of teacher preparations in elementary schools. The demand side includes elementary schools’ capacity, which can reflect if the demand for teachers is decreasing or increasing. Autoregressive integrated moving average and transfer functions were used to build the fittest models to predict the capacities of teachers and teacher preparation programs for elementary education. The results reveal that the teacher preparation programs should be remodeled to take account of the declining birthrate. Even so, the preparation system will still have an oversupply of teachers due to the shrinking requirement for elementary education. This study proposes adjusting the student-teacher ratio following our predicted values, as a tool for policy intervention, to provide more reasonable balancing logics of teacher supply and demand for elementary education. The proposed models may provide examples for exploring the complicated issue of future teacher supply and demand.
Keywords:ARIMA, education policy, supply and demand, teacher education, transfer function