Faculty performance evaluation system with application of data analytics

The current system starts with the student form evaluation, Students receive a printed page of the evaluation questions answered in Likert-scaled form. The human resource department normally is responsible in monitoring the attendance and punctuality of the employees. Classroom observation is normally conducted by the college dean with a minimum of two classes handled by each faculty member. The overall performance based on classroom and administrative evaluations which include the grades submission or records management, committee involvement, attendance and punctuality, etc. are manually computed. Identifying the top or outstanding faculty requires time and effort. There is bulk in evaluation forms being distributed to students during the evaluation period. The current process is also prone to human errors and records confidentiality, integrity and availability could possibly be compromised. In summary, it is a complex and paper heavy system. There are many points of failure. Department coordinators may fail to inform the instructors that require evaluations. Evaluation answer sheets can be miscoded. Evaluations may end up unreturned or undistributed. Classes are interrupted. Computing and producing result documents are time intensive and tedious work. Space also is a concern because of archiving the results for a period of time. The proponents’ reason in conducting the study is to design and develop a performance evaluation system with the application of data analytics capable of catering the needs of colleges and universities in doing faculty evaluation. The researcher has the desire to find a better approach or to innovate the way to evaluate, monitor and identify the strengths, potentials and weaknesses of teachers with regard their performance to help them become more competent in their field with the help of Data Analytics application. The study utilized the descriptive and developmental method of research. Since the present study was concerned with the design and development of performance evaluation system with application of data analytics, these methods were the most appropriate. The respondents of the study were the faculty members and school administrators of the College of Computer Studies Department of the institution that were involved in the survey. The study used the purposive sampling to define the target respondents for the evaluation. There were 31 faculty members and five school administrators, a total of 36 respondents. A questionnaire was used to determine the response of the respondents towards the developed system over the concept being deliberated. To evaluate the feedback of the respondents, Likert scale was used. Data were gathered through the use of normative survey, library and internet research. Observations and informal interviews were also conducted to get the views of related individuals in the study to help in formulating the conceptual framework, designing the proposed system and other areas of the study. The statistical tool used in the interpretation of data was the arithmetic mean. It was used in determining the average responses of the five options in each item of the questionnaires. Ranking the data was also used in the mean results Based on the data gathered, findings revealed that: The respondents’ rate of an average mean of 4.33, the evaluation showed that the majority of the respondents assessed the developed system as “Highly Accepted” in terms of functionality, reliability, usability, efficiency, maintainability and portability. With the usefulness index as another set of evaluation, the respondents showed that the application of data analytics in the developed faculty performance evaluation system is “Moderately Useful” with an overall mean of 4.41.