Ariza Nordin

Conceptualizing Data Driven Decision Support Component in Academic Information Management System

Academic management decision making in academia reflects effective leadership in determining the quality of graduates. It is challenging and time-consuming effort as the decision makers must be comprehensively and accurately informed. The use of technology to develop decision support system has been proven to reduce the time-consuming problem as databases are used to promote systematic capturing and storing of data. This paper reports the conceptualization of data driven decision support component in Academic Information Management System. It is intended as a design framework for a web-based data driven decision support component for academic insights and analytics. A participatory action research strategy by which one researcher is representing the technical team and another representing process owner team focus on conceptualize the data driven decision support component. Appointed as the project team, the researchers worked together over several months for implementation of Academic Information Management System. Meetings, workshops and discussions are avenues of data gathering, analysis and reflection. The analysis and reflection contributes to a qualitatively identified data driven model of the decision support component. The data driven model emphasizes on consistency of curriculum data where curriculum management module acts as the single source of truth in providing input to other modules and the student information management system. Reflectively the accuracy of academic data insights to decision makers is directly dependent on how effective curriculum data has been captured, stored, organized and disseminated within a curriculum lifecycle.

Forming Community of Practice in IT department of Higher Education Institution

This paper explains the conceptual framework of forming IT Community of Practice (CoP) in IT department of Higher Education Institution. The focal point of the research is the establishment of CoP for intentional CoP where membership of the community is homogenous of job function. As of today a semantic group formation model does not exist to be adopted. The research to be undertaken selects the IT department in Universiti Teknologi MARA Malaysia as a case study to discover the semantic group formation model to enable meaningful knowledge sharing. The conceptual framework informs the group formation elements crucial for CoP formation. The value adds semantic approach proposes existing semantic models to derive an option of method in the group formation and CoP implementation. The semantic models inform a learner profile and the competency ontology as the required ontology for a semantic group formation model. This group formation and implementation of CoP enhances community based knowledge sharing by better learning experience to develop professional skills. Based on the selection of the case study, the conceptual framework shall provide the basis of a semantic model group formation for IT CoP usable throughout the government sector IT department.