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International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Teacher-Level Factors that Influence Students’ Science and Technology Culture: HLM Analysis

Shahril Sabudin, Azlin Norhaini Mansor, Subahan Mohd. Meerah, Azliza Muhammad

http://dx.doi.org/10.6007/IJARBSS/v8-i5/4243

Open access

It has been observed that there is an issue of declining student enrolment in science and technology at upper secondary level, as well as low performance of Malaysian students. These concerns have been recorded by Trends in Mathematics and Science Studies (TIMSS), and Performance for International Student Achievement (PISA) tests from 2003 to 2009. As a result, the policy of 60:40 target ratio of science to non-science students which has been set by Ministry of Education Malaysia (MOE) may be affected. Accordingly, this scenario has raised concerns and questions related to the quality of science teachers, especially in the aspect of teachers’ pedagogical skills. Therefore, this study was conducted to identify the impact of Form Two science teacher’s Productive Pedagogy on the Science and Technology Culture among the students. For this purpose, the descriptive study using multi-stage sampling technique involving 40 science teachers and 800 Form Two students at several secondary schools in Seremban, Negeri Sembilan has been carried out. The collected data were analyzed using Hierarchical Linear Modelling (HLM) software to identify the influence of teacher’s Productive Pedagogy on the students’ Science and Technology Culture. Based on the HLM analysis, it indicates that 40 percent of the differences in the Science and Technology Culture level of practice are contributed by a number of factors at a teacher level. Some of the factors are teacher’s gender, age, type of school and dimension of Intellectual Quality (one of the dimensions in Productive Pedagogy). Thus, the results of HLM show that teacher level factors significantly influence the student’s outcomes or achievements.

Arbaa, R., Jamil, H., & Abd. Razak, N. (2010). Hubungan Guru-Pelajar Dan Kaitannya Dengan Komitmen Belajar Pelajar: Adakah Guru Berkualiti Menghasilkan Perbezaan Pembelajaran Antara Jantina Pelajar? Jurnal Pendidikan Malaysia 35(2)(2010): 61-69.
Curriculum Development Centre. (2003). Secondary school science syllabus. Kuala Lumpur. Kementerian Pendidikan Malaysia.
Darling-Hammond, L. (2000). Teacher Quality and Student Achievement. Educ. Policy Anal Arch 8(1). http://epaa.asu.edu/epaa/v8n1/
Day, C. (2013). Teacher Quality in the Twenty First Century: New Lives, Old Truths in Zhu, Xudong and Zeichner, K. (eds.) Preparing Teachers for the 21st Century. Springer, New York.
DeVellis, R. F. (1991). Scale Development: Theory and Application. Sage Publication, New York.
Garson, G. D. (2012). Introductory Guide to HLM with HLM 7 Software. Accessed from http://www.sagepub.com/sites/default/files/upm-binaries/47529_ch_3.pdf
Halim, L. (2013). Pendidikan Sains dan Pembangunan Masyarakat Berliterasi Sains. Syarahan Perdana Jawatan Profesor Universiti Kebangsaan Malaysia, 19 April 2013. Universiti Kebangsaan Malaysia, Bangi.
Hayes, D., Mills, M., Christie, P., & Lingard, B. (2006). Teachers & Schooling Making A Difference. Allen & Unwin, New South Wales.
Hox, J. J. (2010). Multilevel Analysis: Techniques and Applications (2nd ed.) Routledge, New York.
Ibrahim, M. B. (2006). A Hierarchical Linear Modeling of School Effects and Student Factors Affecting Penilaian Menengah Rendah (PMR) Achievement. Unpublished Ph.D Thesis, International Islamic University, Gombak.
Jacobs, H. H. (2010). Curriculum 21: Essential Education for a Changing World. ASCD, Virginia.
Jamil, H. (2011). Pedagogi Produktif Dalam Mempertingkatkan Kualiti Pengajaran dan Hasil Pembelajaran: Amalan Dalam Kalangan Guru-Guru Sains. Universiti Sains Malaysia, Pulau Pinang.
Kementerian Pendidikan Malaysia. (2012a). Laporan Awal Pelan Pembangunan Pendidikan Malaysia 2013 – 2025. Putrajaya.
Kementerian Pendidikan Malaysia. (2012b). Laporan Strategi Mencapai Dasar 60:40 Aliran Sains/Teknikal:Sastera. Bahagian Perancangan dan Penyelidikan Dasar Pendidikan, Putrajaya.
Kreft, I. G. G. (1996). Are Multilevel Techniques Necessary? An Overview, Including Simulation Studies. Unpublished Report, California State University, Los Angeles. Available at: http://www.eric.ed.gov.
Kreft, I. G. G., & De Leeuw, J. (1998). Introducing Multilevel Modelling. SAGE Publications: Newbury Park, CA.
Maas, C. J. M., & Hox, J. J. (2005). Sufficient Sample Sizes for Multilevel Modeling. Methodology 2005; vol. 1(3), 86-92.
Osman, K., Iksan, Z., & Halim, L. (2007). Sikap Terhadap Sains dan Sikap Saintifik di Kalangan Pelajar Sains dalam Jurnal Pendidikan 32 (2007), 39-60.
Othman, R. (2007). Budaya Sains Dan Teknologi Di Kalangan Murid Sekolah Dan Hubungannya Dengan Pertambahan Tempoh Pembelajaran Sains. Tesis Doktor Falsafah Fakulti Pendidikan, Universiti Kebangsaan Malaysia, Bangi.
Rowe, K. J. (2003). The Importance of Teacher Quality as a Key Determinant of Student’s Experiences & Outcomes of Schooling. Paper presented in ACER Research Conference 2003, Carlton Crest Hotel, Melbourne.
http://www.acer.edu.au/documents/Rowe_ACER_Research_Conf_2003_Paper.pdf.
Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modelling (2nd Ed.) SAGE Publications, London.

In-Text Citation: (Sabudin, Mansor, Meerah, & Muhammad, 2018)
To Cite this Article: Sabudin, S., Mansor, A. N., Meerah, S. M., & Muhammad, A. (2018). Teacher-Level Factors that Influence Students’ Science and Technology Culture: HLM Analysis. International Journal of Academic Research in Business and Social Sciences, 8(5), 961–969.