Profiling Expert Teacher for Malaysia Education Syste

Rosnah Ishak, Marinah Awang and Mahaliza Mansor
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Rosnah Ishak: Department of Educational Management, Sultan Idris Education University, Malaysia
Marinah Awang: Department of Educational Management, Sultan Idris Education University, Malaysia
Mahaliza Mansor: Department of Educational Management, Sultan Idris Education University, Malaysia

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 12, 1082-1092

Abstract: This study aims identify and develop expert teachers profiling system for Malaysia Ministry of Education. The whole study used the design and development research (DDR) method. However, this paper discussed only the second research phase which is the design phase. This phase employed a classical Delphi method to identify the criteria and attribute of expert teacher. Meanwhile, focus group discussion (FGD) employed to develop a model for the profiling system. A panel of 15 experts gave their consensus in determining the criteria and the attribute of the expert teachers in three rounds of Delphi. Based on three main themes (knowledge, skills and attitude), the analysis resulted in 12 criteria and 45 specific attributes of expert teachers based on the panel of expert opinions. Then, a FGD was held among 10 information technology experts to develop the profiling system model based on the existing Ministry of Education database. The experts identified five existing database that can supply data to the profiling system. This study explores new possibilities of effective knowledge management for the education ministry in identifying and developing expert teachers. The system model will help the education ministry to make use all the data from relevant database for a meaningful usage. Furthermore, this system transformation will help the education ministry in identifying the future expert teacher earlier from the database, developed their capability to become expert teachers and increase the quality of education in Malaysia.

Date: 2024
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