Personal Knowledge Management to Enhance the Effectiveness of Teacher Learning Management in Lao PDR
Abstract
This study was intended to search the vital factors and indicators of personal knowledge management and the effectiveness of teacher learning management for primary school teachers in Lao PDR. A survey research design was employed to 600 teachers with the purpose of testing the goodness-of-fit of the identified vital factors and indicators with the empirical data. The results revealed that an entire of 30 indicators were recognized from 10 vital factors. The structural relationship model of personal knowledge management to enhance the effectiveness of teacher learning management indicators was found to be in parallel to the empirical data, with χ2 =382.319, df=342, χ 2/df=1.117, CFI=0.997, TLI=0.996, RMSEA=0.030, and SRMR=0.030. The results contribute significantly to knowledge with orientation to recommending a measurement model which can be referred by primary school teachers in Lao PDR in particular on how to utilize personal knowledge management skills to enhance their learning management capabilities.
Downloads
References
Byrne, B. M. (1998). Structural equation modeling with LISREL, PRELIS and SIMPLIS: Basic concepts, applications and programming. Mahwah, NJ: Lawrence Erlbaum Associates.
Dalkir, K. (2011). Knowledge management in theory and practice (2nd ed.). Cambridge, MA: Massachusetts Institute of Technology.
Desta, D., Chalchisa, D., & Lemma, G. (2013). School-based continuous teacher professional development in an investigation of practices, opportunities and challenges. Journal of International Cooperation in Education, 15(3), 77-94.
Diamantopoulos, A., & Siguaw, J. A. (2000). Introducing LISREL. London, UK: Sage. https://doi.org/10.4135/9781849209359
Field, A. (2000). Discovering statistics using SPSS for Windows. London, UK: Sage.
Garner, S. (2010). Personal knowledge management and student learning. Journal of Business & Economics Research, 8(12), 43-48. https://doi.org/10.19030/jber.v8i12.779
Gay, L. R., Mills, G. E., & Airasian, P. W. (2011). Educational Research. New Jersey: Pearson Education.
Grundspenkis, J. (2007). Agent based approach for organization and personal knowledge modelling: Knowledge management perspective. Journal of Intelligence Manufacturing, 18(4), 451-457. https://doi.org/10.1007/s10845-007-0052-6
Ha, N. H. (2017). The impact of personal knowledge management on learning outcome. International Journal of Learning and Teaching, 3(2), 101-105. https://doi.org/10.18178/ijlt.3.2.101-105
Hu, L. T., & Bentler, P. M. (1999). Cut-off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
Hutcheson, G. D., & Sofroniou, N. (1999). The multivariate social scientist: An introduction to generalized linear models. London, UK: Sage. https://doi.org/10.4135/9780857028075
Ismail, S., & Ahmad, M. S. (2011). Personal knowledge management among researchers: Knowing the knowledge expert. In Proceeding of the 10th International Research Conference on Quality, Innovation and Knowledge Management, 15-18 February, Kuala Lumpur, Malaysia.
Jöreskog, K., & Sörbom, D. (1993). LISREL 8: Structural equation modelling with the SIMPLIS command language. Chicago, IL: Scientific Software International Inc.
Kaiser, H. (1974). An index of factorial simplicity. Psychometrika, 39, 31-36. https://doi.org/10.1007/BF02291575
Marsh, H. W., Hau, K. T., Balla, J. R., & Grayson, D. (1998). Is more ever too much? The number of indicators per factor in confirmatory factor analysis. Multivariate Behavioral Research, 33, 181-220.
Meyers, L. S., Gamst, G., & Guarino, A. J. (2006). Applied multivariate research: Design and interpretation. Thousand Oaks, CA: Sage
National Center for Education Statistics. (May 2021). Characteristics of public-school teachers. Annual Report and Information Staff. Retrieved from https://nces.ed.gov/programs/coe/indicator/clr
Pallant, J. (2013). SPSS survival manual: A step by step guide to data analysis using SPSS (4th ed.). New South Wales, Australia: Allen & Unwin. https://doi.org/10.1080/00396338.2013.784467
Schumacker, R. E., & Lomax, R. G. (2004). A beginner’s guide to structural equation modeling (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates. https://doi.org/10.4324/9781410610904
Smedley, J. (2009). Modelling personal knowledge management. OR Insight, 22(4), 221-233. https://doi.org/10.1057/ori.2009.11
Sondari, M. C. (2013). Personal knowledge management 2.0. International Journal of Social Science and Humanity, 3(4), 426-428. https://doi.org/10.7763/IJSSH.2013.V3.275
Steiger, J. H. (2007). Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual Differences, 42(5), 893-898. https://doi.org/10.1016/j.paid.2006.09.017
Tuksino, P. (2009). A quality assessment of science instructional Management in Basic Education Schools: An application of a value-added model and differential item functioning. (Unpublished Ph.D dissertation). Chulalongkorn University, Thailand.
Ullman, J. B. (2001). Structural equation modelling. In B. G. Tabachnick & L. S. Fidell (Eds.), Using Multivariate Statistics (4th ed & pp 653- 771). Needham Heights, MA: Allyn & Bacon.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright for this article is retained by the author(s), with first publication rights granted to the journal.
This is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
1.png)
