Pengetahuan pedagogi isi kandungan guru matematik dalam topik wang sekolah rendah
List of Authors
  • Roslinda Rosli , Thelagaa C Loganathan

Keyword
  • Pengetahuan Pedagogi, Matematik, Topik Wang, Sekolah Rendah

Abstract
  • Matematik merupakan suatu bidang ilmu yang melatih minda supaya berfikir secara mantik dan bersistem dalam menyelesaikan masalah dan membuat keputusan. Berasaskan kepada Kurikulum Standard Sekolah Rendah bagi matapelajaran Matematik ini telah diolah dan disusun semula. Kajian ini bertujuan untuk menilai tahap domain kognitif dalam topik wang bagi Tahun 5 dan Tahun 6 berdasarkan Kurikulum Standard Sekolah Rendah. Dengan merujuk kepada kerangka Trends in International Mathematics and Science Study (TIMSS), penyelidikan ini melibatkan 45 orang guru Matematik di sekolah rendah daerah Pasir Gudang, Johor. Data diperolehi melalui borang soal selidik dan analisis kuantitatif menunjukkan bahawa kesemua guru mempunyai tahap sederhana tinggi dalam pengetahuan pedagogi am dan khusus, serta pengetahuan isi kandungan projek dalam topik wang. Bagi kajian ini, ujian ANOVA dua hala digunakan bagi meneroka perbezaan pengetahuan pedagogi guru matematik dalam topik wang berdasarkan lokasi sekolah dan pengalaman mengajar. Ujian ANOVA menunjukkan bahawa tidak terdapat perbezaan signifikan antara pengetahuan guru yang mengajar di kawasan bandar dan luar bandar. Walau bagaimanapun, perbezaan ditemui dalam faktor pedagogi khusus, di mana terdapat perbezaan antara pengetahuan pedagogi khusus dengan pengalaman mengajar di kalangan guru-guru tersebut. Dapatan kajian menyarankan bahawa guru-guru perlu mempunyai pengetahuan pedagogi dan isi kandungan yang baik dalam topik wang untuk mengelakkan miskonsepsi di kalangan murid. Hasil kajian ini dapat membantu dalam merancang pengajaran dan pembelajaran yang lebih efektif bagi memastikan pemahaman konsep matematik dalam konteks kehidupan seharian.

Reference
  • 1. Abuhassna, H., Al-Rahmi, W. M., Yahya, N., Zakaria, M. A. Z. M., Kosnin, A. B. M., & Darwish, M. (2020). Development of a new model on utilizing online learning platforms to improve students’ academic achievements and satisfaction. International Journal of Educational Technology in Higher Education, 17, 1-23.

    2. Alamri, H. A., Watson, S., & Watson, W. (2021). Learning technology models that support personalization within blended learning environments in higher education. TechTrends, 65, 62-78.

    3. Alemayehu, L., & Chen, H. L. (2023). The influence of motivation on learning engagement: The mediating role of learning self-efficacy and self-monitoring in online learning environments. Interactive Learning Environments, 31(7), 4605-4618.

    4. Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2020). Towards a conceptual model for examining the impact of knowledge management factors on mobile learning acceptance. Technology in Society, 61, 101247.

    5. Azionya, C. M., & Nhedzi, A. (2021). The digital divide and higher education challenge with emergency online learning: Analysis of tweets in the wake of the COVID-19 lockdown. Turkish Online Journal of Distance Education, 22(4), 164-182.

    6. Baque, P. G. C., Cevallos, M. A. M., Natasha, Z. B. M., & Lino, M. M. B. (2020). The contribution of connectivism in learning by competencies to improve meaningful learning. International Research Journal of Management, IT and Social Sciences, 7(6), 1-8.

    7. Barsukova, N., Ostapenko, A., Vorobeva, I., & Umanets, I. (2022, November). A new educational theory and digital technologies in teaching at a university. In AIP Conference Proceedings (Vol. 2647, No. 1). AIP Publishing.

    8. Brittain, S., Ibbett, H., de Lange, E., Dorward, L., Hoyte, S., Marino, A., ... & Lewis, J. (2020). Ethical considerations when conservation research involves people. Conservation Biology, 34(4), 925-933.

    9. Chen, F., Gao, Y., & Wang, X. (2023). Exploring the role of TESOL and digital technology in attitudinal change and sustainable learning for students of higher education. BMC psychology, 11(1), 320.

    10. Chiu, T. K. (2021). Digital support for student engagement in blended learning based on self-determination theory. Computers in Human Behavior, 124, 106909.

    11. Churchill, N. (2020). Development of students’ digital literacy skills through digital storytelling with mobile devices. Educational Media International, 57(3), 271-284.

    12. Dah, J., & Hussin, N. A. (2021). Conceptual framework of a streamlined extended technology acceptance model for mobile application adoption. International Journal of Social Science Research, 9(2), 1-29.

    13. Engeness, I. (2021). Developing teachers’ digital identity: towards the pedagogic design principles of digital environments to enhance students’ learning in the 21st century. European Journal of Teacher Education, 44(1), 96-114.

    14. Esra, M. E. Ş. E., & Sevilen, Ç. (2021). Factors influencing EFL students’ motivation in online learning: A qualitative case study. Journal of Educational Technology and Online Learning, 4(1), 11-22.

    15. FaXing, L., & Loang, O. K. (2024). Green Investing and Financial Education: The Case of China’s A-Share Market. In Technology-Driven Business Innovation: Unleashing the Digital Advantage, Volume 1 (pp. 29-41). Cham: Springer Nature Switzerland.

    16. Gkrimpizi, T., Peristeras, V., & Magnisalis, I. (2023). Classification of barriers to digital transformation in higher education institutions: Systematic literature review. Education Sciences, 13(7), 746.

    17. Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3, 275-285.

    18. Hammerstein, S., König, C., Dreisörner, T., & Frey, A. (2021). Effects of COVID-19-related school closures on student achievement-a systematic review. Frontiers in psychology, 12, 746289.

    19. Jiang, Y. (2022). The factor influences on education quality of online courses of Yaha School of built environment in Hainan Province, China (Doctoral dissertation, Rangsit University).

    20. Kent, R. (2020). Data construction and data analysis for survey research. Bloomsbury Publishing.

    21. Koh, J. H. L., & Kan, R. Y. P. (2021). Students’ use of learning management systems and desired e-learning experiences: Are they ready for next generation digital learning environments?. Higher Education Research & Development, 40(5), 995-1010.

    22. Lakhal, S., & Khechine, H. (2021). Technological factors of students’ persistence in online courses in higher education: The moderating role of gender, age and prior online course experience. Education and Information Technologies, 26, 3347-3373.

    23. Le, W., & Loang, O. K. (2024). Revitalising China Rural Industries Through Innovation and Entrepreneurship Education: A Conceptual Framework. In Technology-Driven Business Innovation: Unleashing the Digital Advantage, Volume 1 (pp. 43-54). Cham: Springer Nature Switzerland.

    24. Lindfors, M., Pettersson, F., & Olofsson, A. D. (2021). Conditions for professional digital competence: the teacher educators’ view. Education Inquiry, 12(4), 390-409.

    25. Loang, O. K. (2023). INFORMATION EFFICIENCY IN THE US AND SHARIAH-COMPLIANT STOCKS IN MALAYSIA DURING COVID-19. Journal of Islamic Monetary Economics and Finance, 9(3), 465-490.

    26. Lodge, J. M., Kennedy, G., & Lockyer, L. (2020). Digital learning environments, the science of learning and the relationship between the teacher and the learner. Learning under the lens: Applying findings from the science of learning to the classroom, 1-15.

    27. Miller, D. (2023). Embracing the technological metamorphosis: Envisioning higher education for generation alpha in a shifting educational landscape. International Journal Software Engineering and Computer Science (IJSECS), 3(2), 88-96.

    28. Naidoo, J. (2020). Flipped Learning within Mathematics Teacher Education in KwaZulu-Natal, South Africa: Embracing Connectivism in Response to the COVID-19 Pandemic. Alternation African Scholarship Book Series (AASBS), 85.

    29. Namoun, A., & Alshanqiti, A. (2020). Predicting student performance using data mining and learning analytics techniques: A systematic literature review. Applied Sciences, 11(1), 237.

    30. Olofsson, A. D., Fransson, G., & Lindberg, J. O. (2020). A study of the use of digital technology and its conditions with a view to understanding what ‘adequate digital competence’may mean in a national policy initiative. Educational studies, 46(6), 727-743.

    31. Papaioannou, G., Volakaki, M. G., Kokolakis, S., & Vouyioukas, D. (2023). Learning spaces in higher education: a state-of-the-art review. Trends in Higher Education, 2(3), 526-545.

    32. Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., & Bashir, A. K. (2020). Investigating the acceptance of mobile library applications with an extended technology acceptance model (TAM). Computers & Education, 145, 103732.

    33. Rasheed, Z. (2023). Educational Innovation amidst Globalization: Higher Education Institutions and Societal Integration.

    34. Shan, C., Hussain, M., & Sargani, G. R. (2020). A mix-method investigation on acculturative stress among Pakistani students in China. PloS one, 15(10), e0240103.

    35. Smith, C. (2021). E-Learning Professionals’ Usage of Connective Tools in Online Courses: The Relationship between Facilitating Conditions and Institutional Innovativeness (Doctoral dissertation, Keiser University).

    36. Tang, Y. M., Chen, P. C., Law, K. M., Wu, C. H., Lau, Y. Y., Guan, J., ... & Ho, G. T. (2021). Comparative analysis of Student's live online learning readiness during the coronavirus (COVID-19) pandemic in the higher education sector. Computers & education, 168, 104211.

    37. Tomczyk, Ł. (2020). Skills in the area of digital safety as a key component of digital literacy among teachers. Education and Information Technologies, 25(1), 471-486.

    38. Yang, W., & Loang, O. K. (2024). Systematic Literature Review: Behavioural Biases as the Determinants of Herding. Technology-Driven Business Innovation: Unleashing the Digital Advantage, Volume 1, 79-92.

    39. Yang, W., & Loang, O. K. (2024). Unpacking Financial Herding Behaviour: A Conceptual Study of Youth and Working Adults in Chongqing, China. In Technology-Driven Business Innovation: Unleashing the Digital Advantage, Volume 1 (pp. 67-78). Cham: Springer Nature Switzerland.

    40. Zhang, Z., Cao, T., Shu, J., & Liu, H. (2022). Identifying key factors affecting college students’ adoption of the e-learning system in mandatory blended learning environments. Interactive Learning Environments, 30(8), 1388-1401.

    41. Zou, C., Li, P., & Jin, L. (2021). Online college English education in JiangXi against the COVID-19 pandemic: Student and teacher readiness, challenges and implications. PloS one, 16(10), e0258137.