📄 Abstract
Many educational institutions believe that education should encompass a variety of methods to reflect students different learning styles in order to equip students with the skill demand of various activities. This study determined to assess the studentsâ?? multiple intelligences and academic performance as basis in the enhancement of self-learning module and program curriculum. The multiple intelligences include Intrapersonal Intelligence, Existential Intelligence, Naturalistic Intelligence, Kinesthetic Intelligence, Interpersonal Intelligence, Visual Intelligence, Musical Intelligence, Logical Intelligence, and Verbal Intelligence. The research design used was basically a descriptive method employing an adopted Multiple Intelligences Survey from Walter McKenzie, 1999 of Surfaquarium Consulting. There were 212 respondents from BS in Entrepreneurship and BS in Office Administration. Academic performance of the students in their major subjects got an average of 1.63 and were measured based on the results of the final examinations for first semester of AY 2020-2021. Results showed that the top three intelligences the respondents have based on their scores are intrapersonal intelligence, followed by existential and naturalistic intelligences; least of the intelligences are musical, logical and verbal. This implied that oral communication is part of the required testing because this skill is needed not only in the workplace, to practice face-to-face communication skills which reinforces other skills such as critical thinking and non-verbal communication skills and to develop their verbal ability. There is a need to enhance the course syllabi and integrate the learning methodologies in the self-learning module that utilizes the multiple intelligence.
🏷️ Keywords
📚 How to Cite:
Rozalle H. Palacol, Maryjane D. Fuentes, Marissa L. Dimarucot, Marilyn P. Pielago , ASSESSMENT ON MULTIPLE INTELLIGENCE AND ACADEMIC PERFORMANCE OF CBMA STUDENTS: BASIS IN THE ENHANCEMENT OF SELF LEARNING MODULE AND PROGRAM CURRICULUM , Volume 9 , Issue 11, november 2023, EPRA International Journal of Multidisciplinary Research (IJMR) ,