000			03428nam a2200277Ia 4500
001			90301
003			ft7813
005			20251020134030.0
008			240518n 000 0 eng d
040			_erda
041			_aengtag
050			_aT58 .D45 2024
082			_a.
100			_aMark Renan D. Dela Pena, Denzel Clyde F. Lim, Angelica Rae R. Macasieb.
245		0	_aAutomated faculty evaluation and ranking system: utilizing optical character recognition, named entity recognition, and decision tree for a web-based evaluation and ranking system at Pamantasan ng Lungsod ng Maynila
264			_aManila: _bPLM, _cc2024
300			_bUndergraduate Thesis: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2024.
336			_btext _atext _2text
337			_bunmediated _aunmediated _2unmediated
338			_bvolume _avolume _2volume
505			_aABSTRACT: High-quality education is essential for achieving a prosperous and equitable society, and a key component of this is a high-caliber faculty. But with the rapid growth of students nowadays, Pamantasan ng Lungsod ng Maynila (PLM) a first and only chartered and autonomous university funded by a city government of Manila, its manual evaluation is causing a hard time in collecting all the results of the said evaluation. Not all universities today are equipped with the necessary technology to meet theie needs, and the decline in transparency during the hiring process leaves faculties and recruites uncertain about the outcome. Three areas of concern have been indentified in the hiring and promotion for PLM faculty members within their respective departments. Initially, the lack of a systemized document management system leads to difficulty in organizing and accessing valuable information. Secondly, the manual faculty selection process is time-consuming and susceptible to human errors, as the results are still manually tallied. Lastly, the absence of an automated decision support system makes it difficult for evaluators to streamline the faculty evaluation process. EduRate is a web-based application that utilizes machine learning to automate the evaluation of faculty applicants based on their academic qualifications, certifications, publications, and creative works. This technology aims to streamline the process, instantly generating necessary reports, improving workflow efficiency, and reducing, administrative work. The researchers analysed the data gathered using mean, utilizing the ISO/IEC 25010 standard. The participants were full-time and part-time faculty members from the College of Engineering (CoE) at PLM, selected using purposive sampling. Subsequently, applying Slovin’s formula with a margin of error of 5% which was 97 respondents. Based on the summary of findings from a 5-point Likert scale, the research found that functional suitability (mean of 1.87), usability (mean of 1.60), reliability (mean of 1.86), security (mean of 1.81) and maintainability (mean of 1.89) were all rated as extremely to very effective. The research findings highlight the potential of EduRate to significantly enhance the quality of faculty evaluation and decision-making in hiring and promotion. Moreover, this can help institutions save on resources, efficiency on evaluators time, and transparent reports.
526			_aF
540			_a5
655			_aacademic writing
942			_alcc _cMS _01 _2lcc
999			_c25632 _d25632