Academic self-regulation and academic performance of humanities and social science students

Academic self-regulation and academic performance of humanities and social science students

O., Relleve Cesar Chester;C., Pangilinan Michael;N., Ronio Maricor;
Journal of Education, Society & Multiculturalism 2022 Vol. 3 pp. 189-206
86
o2022academicjournal

Abstract

The goal of this research is to find out if the Academic Self-Regulation can predict the Academic Performance of Grade 11 students enrolled in the subject Disciplines and Ideas in the Applied Social Sciences by analyzing the Regression Model. In this study, the Quantitative-Descriptive method was used. The results revealed that: a) Identified Regulation is the highest while the Intrinsic Motivation is the lowest; b) there is a significant difference in the academic performance of the students, female students have higher grades compared to males; c) there is no significant difference in the self-regulation of the students; d) significant difference exists within the self-regulations so Post Hoc Analysis was employed; e) based on Bonferroni post host test there is no significant difference between Introjected Regulation and Intrinsic Motivation; f) the overall regression model is not statistically significant to predict the Academic Performance of the students.

Citation

ID: 276571
Ref Key: o2022academicjournal
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
276571
Unique Identifier:
8e42dd4398fb587776a329f96e307f4b
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet