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AUTOMATED LICENSURE EXAMINATION REVIEWER FOR TEACHERS (A.L.E.R.T.): AN INNOVATIVE INTERVENTION REVIEW SYSTEM FOR LSPU CTE STUDENTS

Volume: 75  ,  Issue: 1 , April    Published Date: 09 May 2021
Publisher Name: IJRP
Views: 939  ,  Download: 602 , Pages: 117 - 128    
DOI: 10.47119/IJRP100751420211896

Authors

# Author Name
1 Christian P. San Luis

Abstract

One of the measures of quality education provided by Higher Education Institutions (HEIs), especially those offering board programs, is the performance of their graduates in the licensure examinations being conducted by the Professional Regulation Commission (PRC). A graduate must prepare and may use different review interventions such as attending review classes aside from other personal preparations, to increase chances of passing the licensure examination. On this premise, the proponent had developed a new review platform the Automated Licensure Examination Reviewer for Teachers (A.L.E.R.T.) to be utilized by the students of Laguna State Polytechnic University under the College of Teacher Education which can help improve CTE students in acquiring skills needed in passing the licensure examination for teachers. It focuses on the idea that this reviewer is a PC-based (stand-alone) application that can generate sets of review materials mainly on General and Professional Education subjects which the learners can answer using computers. Furthermore, the developed reviewer system is to test the system?s level assessment in terms of its components such as content, format, graphics, and objectives. The acceptability of its functional characteristics was also assessed in terms of its accessibility, consistency, suitability, and usability. The researcher also aimed to test the level of assessment of the developed system in terms of its overall acceptability, and the significant difference between the levels of assessment of the respondent?s rating on its components and characteristics. The descriptive measure of the respondents specifically the interval data was used in this study. The system was validated by eighty (80) college students and fifteen (15) teachers/instructors from the College of Teacher Education Santa Cruz Main Campus. The level of assessment was determined using the mean value and its standard deviation.

Keywords

  • Automated
  • Licensure Examination for Teachers
  • A.L.E.R.T.
  • Stand-Alone Application
  • Accessibility
  • Consistency
  • Suitability
  • Usability