Development of Faculty Profiling and Capability Enhancement Advisor System using Intelligent Predictive String Search Algorithm

Faculty personnel nowadays are faced with a change of roles and responsibilities. As a result, they must involve themselves in the current trend of professional growth. Faculty development enables personal and professional growth so there is a great need for faculty development plans. The authors of this study developed a Faculty Profiling and Capability Enhancement Advisor System that can generate a faculty development plan according to the profiles and qualifications of the faculty members based on their individual Personal Data Sheets. The system can also recommend further trainings for faculty members based on their specializations. These outputs are accurately generated by the system through utilizing the Intelligent Predictive String Search Algorithm (IPSSA). The developmental and descriptive methods of research were adopted in the study, both in the development and evaluation of the system. The evaluation form included the following criteria, based on ISO 9126 standards: Functionality, Reliability, Efficiency, Maintainability, and Portability. The overall evaluation of the system was "Acceptable", based on the combined inputs of the respondents comprised of faculty members, school administrators, and ICT experts. Improvements to the code and security of the system through implementation of Secure Socket Layer (SSL) encryption are recommended. Another enhancement that can be added is a function that provides the system flexibility in updating forms as they are amended.