| 000 -LEADER |
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| fixed length control field |
03428nam a2200277Ia 4500 |
| 001 - CONTROL NUMBER |
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| control field |
90301 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
ft7813 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251020134030.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240518n 000 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Description conventions |
rda |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
T58 .D45 2024 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
. |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mark Renan D. Dela Pena, Denzel Clyde F. Lim, Angelica Rae R. Macasieb. |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Automated 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 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Manila: |
| Name of producer, publisher, distributor, manufacturer |
PLM, |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2024 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Other physical details |
Undergraduate Thesis: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2024. |
| 336 ## - CONTENT TYPE |
|---|
| Content type code |
text |
| Content type term |
text |
| Source |
text |
| 337 ## - MEDIA TYPE |
|---|
| Media type code |
unmediated |
| Media type term |
unmediated |
| Source |
unmediated |
| 338 ## - CARRIER TYPE |
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| Carrier type code |
volume |
| Carrier type term |
volume |
| Source |
volume |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
ABSTRACT: 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 ## - STUDY PROGRAM INFORMATION NOTE |
|---|
| Classification |
Filipiniana |
| 540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE |
|---|
| Terms governing use and reproduction |
5 |
| 655 ## - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
academic writing |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Institution code [OBSOLETE] |
lcc |
| Item type |
Thesis/Dissertation |
| Koha issues (borrowed), all copies |
1 |
| Source of classification or shelving scheme |
|