Correlates of board examination performance of electrical engineering of Camarines Sur Polytechnic Colleges / (Record no. 30648)

MARC details
000 -LEADER
fixed length control field 04930nam a2200325 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field CSPC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251009095028.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251009s2024 ph a b 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency CSPC
Language of cataloging eng
Transcribing agency CSPC
Description conventions rda
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) UTH BSEE R896c 2024
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Rubio, Zoila Marie S.
Relator term author.
245 10 - TITLE STATEMENT
Title Correlates of board examination performance of electrical engineering of Camarines Sur Polytechnic Colleges /
Statement of responsibility, etc. Zoila Marie S. Rubio, [and 4 others].
300 ## - PHYSICAL DESCRIPTION
Extent 120 leaves.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
502 ## - DISSERTATION NOTE
Dissertation note Undergraduate Theses (BSEE) - Electrical Engineering.
Name of granting institution Camarines Sur Polytechnic Colleges, 2024.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.
520 3# - SUMMARY, ETC.
Summary, etc. Board examination performance is a crucial measure of academic success and professional readiness for electrical engineering graduates. This study explores the correlates of board examination performance among electrical engineering students at Camarines Sur Polytechnic Colleges (CSPC). It aims to examine the correlations between academic performance, pre-board examination results, and performance on the licensure examination for electrical engineering graduates of Camarines Sur Polytechnic Colleges from the years 2022-2023 using variables such as EEPS, ESAS, and MATH. Specifically, it investigates how academic performance and pre-board exam scores correlate with success in the licensure exam. A descriptive research approach was used to gather and analyze quantitative data from electrical engineering students who took both their pre-board and licensure exams. The data was examined using statistical methods to better understand the connections between academic performance, pre-board exam results, and licensure exam results. Through statistical analysis, the study determines the area or subjects that the graduates struggle with to help the future board exam takers know what specific area they need to improve their knowledge and understanding to get high or average performance in the future. <br/>The findings revealed that the Board Examination performance of the graduates in the subject Electrical Engineering Professional Subjects remain stable in years 2022 and 2023. These means that graduates are consistently performed well in both years in this subject. In the subject Engineering Science and Allied Subject, Graduates shows improvement coming from 2.0372 in 2022 to 1.9538 in 2023 indicating the best performing among the three subjects. However, the performance of the graduates in Mathematics subjects shows a decline from 2.1533 in 2022 to 2.2038 in 2023, it only suggests that graduates faced more difficulties in this subject. The updated results confirmed that PBR, MATH B, ESAS B, and EEPS B significantly influenced licensure exam performance, with all p-values below 0.05. The negative coefficient of PBR (-0.0458) reinforced its inverse relationship with performance, while ESAS B (0.5388) and EEPS B (0.2660) emerged as the strongest positive predictors. The revised model demonstrated better explanatory power and statistical reliability. The model summary further validated the strength of the refined regression model. The multiple regression coefficient indicated a strong positive relationship between the predictor variables and licensure exam performance. Additionally, the coefficient of determination suggested that 91.9% of the variation in exam performance was explained by the selected independent variables. These results confirm that the regression model effectively captures the key predictors influencing licensure exam success. With a sample size of 39, the statistical analysis was conducted on a sufficient dataset, ensuring the reliability of the findings.<br/><br/>The results provide valuable insights for school, educators, and students in improving academic strategies and institutional support to enhance board examination performance. The study concludes that a combination of strong academic preparation, effective review programs, and supportive learning environments can significantly improve board examination results. Recommendations include curriculum enhancements, targeted interventions for struggling students, and the development of comprehensive review strategies to maximize student success. Our study highlights the importance of focusing on this area to help students improve their chances of success on the licensure examination.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Manaog, Rea R.
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Florece, Kristian A.
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Aballa, Danica George
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Diaz, John Brian
Relator term author.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Pontillas, Virginia V.
Relator term adviser.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Barandon, Seth B.
Relator term chair, panelist.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Terano, Harold Jan R.
Relator term panelist.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Isaac, Victor-Solito DR.
Relator term panelist.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Suppress in OPAC No
Koha item type Unpublished Materials
Classification part R896c
Item part BSEE
Call number prefix UTH
Call number suffix 2024
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Main Library Main Library Undergraduate Thesis Section 10/09/2025   UTH BSEE R896c 2024 006874UM 10/09/2025 1-1 10/09/2025 Unpublished Materials