Instructional Enhancement in Elementary Patterns and Algebra

Autor: Maria Concepcion V. Rimiendo, Epifania V. Tabbada
Jazyk: angličtina
Rok vydání: 2020
Předmět:
DOI: 10.5281/zenodo.3655145
Popis: Instructional Enhancement in Elementary Patterns and Algebra Maria Concepcion V. Rimiendo, Ph.D. and Epifania V. Tabbada, Ph.D. 1 Doctor of Philosophy (Ph.D.) major in Curriculum and Supervision, Centro Escolar University (CEU), Philippines 2 Dissertation Adviser, Centro Escolar University (CEU); Academic Consultant of the College of Education, ICCT Colleges Foundation and former Department Head, Philippine Normal University (PNU), Philippines mariconvillanueva82@yahoo.com, epifania_tabbada@yahoo.com IJEDST (2020), 8(1):1-23 ABSTRACT: The main objective of this research was to assess the learners’ competencies in Elementary Patterns and Algebra, the results of which served as basis for the proposed instructional enhancement for teachers. Using the descriptive method of investigation, the research involved the Grades IV-VI pupils from the three (3) schools in District I, Division of City Schools, Manila, Philippines for the School Year 2018-2019. To assess the competencies of the learners in the said component of Mathematics, a researcher made test was developed based on the learning competencies outlined in the K to 12 Curriculum Guide in Grades IV-VI Mathematics. Validity and reliability tests were performed accordingly with the help of subject matter experts and statisticians. After identifying the performance of the respondents in the 3 grade levels, the results were then analyzed followed by the crafting of an instructional enhancement in Elementary Patterns and Algebra. Results revealed that the majority of the competencies were rated “Least Mastered” thereby confirming the need to further enhance the instruction of the teachers handling the said subject area. Keywords: Assessment, Patterns and Algebra, Elementary, Learners, Curricular Enhancement URL: https://www.ijedst.org/papers-published/ijedst-2020-volume-8-issue-1
Databáze: OpenAIRE