Ismil, Lemuel John, Pinauin, Amiel Joaquin, Solano, Patricia Mae.  4  0   <br/><br/>
Faculty evaluation and qualification analysis system using naive bayes algorithm /        6 
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Ismil, Lemuel John, Pinauin, Amiel Joaquin, Solano, Patricia Mae. 
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<br/><br/>   Undergraduate Thesis (BS Information Technology) - Pamantsan ng Lungsod ng Maynila, c2024. 
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<br/><br/> ABSTRACT:       
<br/><br/> Educational Institutions continue to seek excellence in their hiring practices given the vast spectrum of applicants ready to pursue a profession. Considering the degree to which student achievement is impacted by teacher effectiveness, this is significant. This prime perception makes it clear that there is an increasing requirement to investigate and comprehend how we may enhance the hiring procedure at educational institutions.   
<br/><br/>Choosing the most qualified applicants to join the teaching profession is crucial. The fast-evolving digital world has presented significant challenges for the conventional methods of evaluating faculty applications. The traditional means of assessing applicants qualifications-resumes and interviews, for example-have grown laborious and time-consuming. This raises the possibility of missing out on highly qualified candiates or accepting those who might not be the best fit for the educational duty.   
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<br/><br/><br/>Utilizing the ISO 25010 evaluation, the web-based system shows excellent Functional Suitability, Performance Efficiency, Usability, and Reliability, with respective means of 3.41, 3.26, 3.42, and 2.42. 
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