Teacher Professionalisation And Organisational Commitment: Evidence From Malaysia

The findings suggest that teachers have low to moderate levels of professionalization and moderate levels of affective, continuance, and normative commitments. There is no correlation between affective commitment and job environment

A comparison study on the use of knowledge management systems and enterprise microblogging systems for organizational knowledge sharing

Knowledge Management System (KMS) has been widely used by many knowledge-centric organizations to manage their organizational knowledge activities and to improve knowledge sharing among employees. However, it is essential to study the utilization rate of the system in the company. In this research, the KMS and two different enterprise microblogging systems are studied to determine which systems is able to facilitate better knowledge sharing within a company. We studied these systems’ background information, features and functionalities to compare and contrast their benefits and usefulness toward the organizational knowledge management needs. Detailed documents examination and interview with the employees were conducted to collect data to analyze the rate of KMS utilization, benefits and usefulness. Two microblogging systems were introduced to the employees and their attractive features and benefits offered by the microblogging platforms were presented to the employees in order to study and determine their usefulness and rate of utilization in the company. The data collected was analyzed and a comparison table was created which described the similarities and differences in term of features and functions of all three systems. In this research, it was found that the enterprise microblogging systems offer attention-grabbing features and functions which are identical to other social networking systems like Facebook and Twitter had effectively improved the rate of utilization and hence increases the knowledge sharing in the companies. The research outcome had shown that enterprise microblogging systems have the potential to improve knowledge sharing activity within a company compared to a KMS

The intelligence classification of people with epilepsy by two step clustering method

Information on the prevalence of epilepsy in Malaysia is rather hard to obtain although these data are highly useful for understanding epileptic sufferers. The level of understanding on epilepsy among the general public as well as the PWE themselves is still low at present. The objective of this paper is to classify the intelligence of the People with Epilepsy (PWE) using the SPSS Two Step clustering procedures. The intelligence classification of PWE was made using the clustering analysis to arrive at three clusters based on their demographic and intelligence profiles to enhance their employability. The findings of this study would help create awareness among the public, especially employers, of the ability of PWE and their contribution to epilepsy organisations

The classification of multiple intelligence of people with epilepsy using fuzzy inverse model

One of the most challenging problems faced by people with epilepsy (PWE) is employment. But, from human resource managers’ point of view, they need reliable information before they can hire the PWE. A fuzzy model is developed to meet the need for both parties. The model is to help PWE identify their intelligence strengths and weaknesses in order to improve the probability of being employed. This paper presents a new fuzzy algorithm, namely Fuzzy Inverse ATIE (FIA) which is integrated to a crisp Logistic regression model to obtain a fuzzy model. Then based on the model, an ideal combination of eight intelligences which were based on Howard Gardner’s Multiple Intelligence was determined to improve the probability of PWE to be employed. The results show that with the suggested combinations, the probability, P(Y=1), is closed to 1. It can be concluded that the fuzzy model developed using the FIA algorithms has successfully improved the probability of PWE to be hired based on the best parameters of the eight intelligences

Developing information literacy measures for higher education

This is the first part of a report of an investigation on Information Literacy (IL) among final year students in six Malaysian universities in the Klang Valley. The study attempts to measure studentsâ IL competency in key areas, namely, the ability to identify, access, retrieve, evaluate, and organise needed information to achieve certain purposes. A self-administered questionnaire was used as the instrument for data collection, conducted during August and September 2005. Respondents comprised students from 3 main fields, i.e. Science and Technology, Social Science and Humanities, Business and Accountancy. A total of 1,100 responses are used for data analysis. Scores are assigned for identifying levels of competency as: 0 = wrong answer, 1=beginner, 2=intermediate and 3=advanced. Results of the analysis reveal that half (50.1%) of the respondents are at the intermediate IL level while more than one-third (38.4%) are beginners, and slightly more than ten percent (11.5%) can be categorized as at the advanced competency level. Respondents with higher competency levels are those who frequently read materials in English, use the Internet to download programs / software, search databases for aca-demic materials, use the library to read academic journals and discuss academic matters, compared to those who go to the library for other reasons such as to borrow books, meet friends or study. Compulsory information skills courses are found to be related to competency levels, but this relationship is not statistically significant. There is no significant difference in the competency level between those who are currently writing a thesis and those who are not. However, there is a significant difference in IL competency between those who have written assignments in an essay format and those who have not