Self-Efficacy and Mathematics Performance of Students’ in the New Normal in Education

Imelda M. Flores

Abstract


The new normal that was previously unfamiliar has become standard in almost all colleges and universities where classes are being held in purely online scheme is calling us to develop not just essential skills but attitudes that can help us to adapt and thrive in an uncertain future. The study aimed to determine the level of self-efficacy of students and their academic performance during the new normal in education to be used as baseline data in recommending strategies to help increase the level of student’s self-efficacy thereby improving their academic performance. Descriptive research design using the quantitative techniques was used with 183 out of 366 students using Raosoft Sample Calculator at 5% margin of error and they were identified using Gimkit application. Google forms was used to distribute the instrument. To meet the objectives, data was statistically treated using frequency/percentage, weighted mean, T-test, ANOVA, and Pearson’s r. Thus, following results; Majority of the respondents connects to WIFI and most of them have good quality of connectivity. They exhibit mid-level self-efficacy. Most of them have satisfactory to very satisfactory academic performance. There is no significant difference on their assessment of their level of self-efficacy when grouped according to types of connectivity except for performance accomplishment. Whereas, there is significant difference on their self-efficacy when they are grouped according to quality of connections. Moreover, there is significant relationship between level of self-efficacy and level of academic performance during the new normal except for performance accomplishment. By and large, the suggested strategies are believed to help increase the respondent’s level of self-efficacy thereby increasing their level of academic performance.

Full Text:

PDF


DOI: https://doi.org/10.22158/wjer.v8n1p69

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © SCHOLINK INC.  ISSN 2375-9771 (Print)  ISSN 2333-5998 (Online)