Keywords: licensure examination for teachers, predictors, college entrance test, academic performance.


The study was conducted to identify the performance of the Bachelor of Technical Teacher Education (BTTE) graduates of Camarines Sur Polytechnic Colleges and to develop a statistical model that may be adopted by the department in predicting ratings in the teacher’s licensure examination. The study used a quantitative-descriptive method in the analysis of the grades of the 85 students gathered from several secondary sources. The correlational method was used to explore the predictors of performance in the licensure examination graduates who took the licensure examination.  Pearson’s correlation and multiple regression were used to analyze the licensure examination ratings, college admission test, and academic performance of 85 respondents.  Findings revealed that most students have lower results in the College Admission Test yet have Good to Very Good results in academic performance. Furthermore, students attained fairly good performance in their LET. Based on the findings of the study, academic performance is a good predictor of the graduate’s achievement in the licensure examination. Thus, a regression model was developed and may be adopted by the department in predicting ratings in the teacher’s licensure examination.


Arce, S., & Belen, J. (2011). The Pre-Board Examination Part of the In-House Reviews as Predictor of LET Results. MSEUF Research Studies, 49-54.

Arsad, P. M., Buniyamin, N., & Manan, j.-l. A. (2012). Neural Network Model to Predict Electrical Students' Academic Performance. 4th INternational COngress on Engineering Education.

Barlis, J. M., & Fajardo, J. D. (2015). Predictors of Performance of the Maritime Academy of Asia and the Pacific (MAAP) in the OIC Navigational Watch Licensure Examination . Journal of Shipping and Ocean Engineering, 88-101.

Beyene, J., Atenafu, E. G., hamid, J. S., To, T., & Sung, L. (2009). Determining Relative Importance of Variables in Developing and Validating Predictive Models. BMC Medical Research Methodology, 1-64.

Carrol, C. A., & Garavalia, L. S. (2004). Factors Contributing to the Academic Achievement of Pharmacy Students: Use of the Goal-Efficacy Framework. American Journal of Pharmaceutical Education, 1-8.

Cohen, J. L. (2001). Applied Multiple Regression/Correlation Analysis for Behavioral Sciences. New York: Erlbaum Publishing Co.

Coleman, D. (2016, January 14). Multiple Linear Regression with Minitab. Retrieved from Lean Sigma Corporation Web Site: regression-with-minitab/

Dagdag, J. D. (2018). Predictors of Performance in the Licensure Examination for Agriculturists: Bases for a Proposed Plan of Action. Asia Pacific Journal of Multidisciplinary Research, 113-120.

Darling-Hammond, L., Hyler, M. E., & Gardner, M. (2017, June 05). Effective Teacher Professional Development. Retrieved from Learning Policy Institute: brief

De Leon, J. (2016). Academic and Licensure Examination Performances of BSN Graduates: Bases for Curriculum Enhancement. International Journal of Educational Policy Research and Review, 64-72.

Guinayen, V. K. (2014). Relationship of the Academic Performance to the Licensure Examination for Teachers Performance of Mpspc Bsed Graduates. Mountain Province State Polytechnic Colleges.

Guzman, R. (2020). Performance in the Licensure Examination for Teachers among the Graduates of Isabela State University, Echague, Isabela, Philippines. Journal of Critical Reviews, 71-80.

Hena, R., Ballado, R., Dalucapas, M., Ubane, S., & Basierto, R. (2014). Variates of the Performance of Teacher Education Graduates in the Licensure Examination for Teachers (LET). International Journal of Interdisciplinary Research and Innovations, 157-163.

Islam, M. M. (2014). Factors influencing the academic performance of undergraduate students in Sultan Qaboos University in Oman. Journal of Emerging Trends in Educational Research and

Policy Studies.

Jayanthi, S. V., Balakrishnan, S., Ching, A. L., Latiff, N. A., & Nasiruden, A. (2014). Factors Contributing to Academic Performance of Students in a Tertiary Institution in Singapore. American Journal of Educational Research, 752-758.

Junio-Pachejo, S., & Allaga, W. (2013). Academic Predictors of the Licensure Examination for Teachers’ Performance of the Rizal Technological University Teacher Education Graduates. International Journal of Educational Research and Technology, 31-40.

Klomegah, R. Y. (2007). Predictors of Academic Performance of University Students: An Application of the Goal Efficacy Model. College Student Journal, 407-415.

Linear Regression Models. (n.d.). Retrieved from People Duke Web Site:

Lopez-Garrido, G. (2020, August 09). Self-Efficacy Theory. Retrieved from Simply Psychology:

Magno, C., & Gonzales, R. D. (2011). Measurement and Evaluation in the Philippine Higher Education: Trends and Movement. E. Valenzuela (Ed) UNESCO Policy Studies: Trends and development in Philippine Education, 1-21.

Ong, M. P. (2012). Predictors of Nurses’ Licensure Examination Performance of Graduates in Cebu Normal University, Philippines. Journal of Health, 130-141.

Quiambao, D. T., Baking, E. G., Buenviaje, L. M., Nuqui, A. V., & Cruz, R. C. (2015). Predictors of Board Exam Performance of the Dhvtsu College of Education Graduates. Journal of Business & Management , 1-4.

Rabanal, G. (2016). Academic Achievement and LET Performance of the Bachelor of Elementary Education Graduates, Nniversity of Northern Philippines. International Journal of Scientific and Researech Publications, 455-461.

Republic Act 7836: Philippine Teachers Professionalization Act of 1994. (1994, December 16). Retrieved from Philippine Commission on Women: 7836-philippine-teachers-professionalization-act-of-1994/

Sibley, J., & Parmelee, D. (2008). Knowledge is No Longer Enough: Enhancing Professional Education with Team-Based Learning. New Directions for Teaching and Learning, 41- 53.

Silfverberg, D. V., & Orbeta, A. J. (2021). The Role of Entrance Exams in Academic Performance of Students with Low Socioeconomic Background: Evidence from the SGP- PA. 13th National Convention on Statistics, 1-30.

Subudi, R., & Biswas, D. (2015). Professional Education for Employability: A Critical Review. Parikalpana: KIIT Journal of Management, 1-15.

Tamayo, A. (2014). Determining Predictors of Chemical Engineering Licensure Examination. University of Mindanao - Research and Publication Center, 1-11.

Tarum, I. (2017). Prediction Models for Licensure Examination Performance Using Data Mining Classifiers for Online Test and Decision Support System. Asia Pacific Journal of Multidisciplinary Research, 10-21.

Terano, H. J. (2018). Regression Model of the Licensure Examination Performance of Electronics Engineering Graduates in a State College in the Philippines. Advances and Application in mathematical Sciences, 197-204.

Vander Schee, B. A. (2011). Changing General Education Perceptions through Perspectives and the Interdisciplinary First-Year Seminar. International Journal of Teaching and Learning in Higher Education, 382-387.

Visco, D. (2015). Determinants of Performance in The Licensure Examination for Teachers (LET) of Abra State Institute of Sciences And Technology. International Journal of Research in Management & Business Studies, 39-44.

Vroom, V., & Deci, E. (2016). Vroom's Expectancy Theory. Retrieved from University of Cambridge:

Winfrey, E. (1999). Kirk Patrick's Four Levels of Evaluation. Retrieved from Encyclopedia of Educational Technology: