Authors :
Elvie M. Durog
Volume/Issue :
Volume 9 - 2024, Issue 6 - June
Google Scholar :
https://tinyurl.com/5n6ssh9h
Scribd :
https://tinyurl.com/47ndm3ne
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24JUN1281
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The purpose of the study was to determine
which of the respondents profile information best
predicts the academic performance among learners. A
total of 100 learners were selected using the random
sampling technique in Binugao National High School in
Davao City, Region XI. The study utilized a descriptive-
correlation design. An adapted survey questionnaires
were utilized which centered on respondents personal
information and academic performance. Percentage,
Mean, Pearson r, and regression analysis were used as
statistical tools of the study. Results revealed on the
percentage of respondent profile information among
learners in terms of gender, age and parental annual
income is 100 percent. The extent of academic
performance among learners in terms of student related
factor is mostly extensive; in terms of school related
factor is sometimes extensive; in terms of home related
factor is sometimes extensive; and in terms of teacher
related factor is sometimes extensive. Clearly, the
findings inferred a strong significant relationship
between the respondent profile information and
academic performance among learners. Based on the
result of the analysis, the respondent profile information
namely: gender, age and parental annual income
predicts academic performance of the learners by
registering a p-value of .001 which is less than .05 in the
level of significance. This leads to the rejection of the null
hypothesis. Further, the result indicates that for every
unit increase in three facets of respondent profile
information, the academic performance among learners
will also increase by 3.498 holding other factors constant.
Keywords :
Respondent profile information, academic performance student related factors, school related factors, home related factors, teacher related factors.
References :
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- Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4th ed.). Upper Saddle River, NJ: Merrill.
- Dean, Aftab. (2018). “Improving the Learning Experience for International Learners,” International Journal of Management Cases. 4(1), 207-222.
- Dur, R. E. (2019). An examination of readiness for self- directed learning and personnel variable at a large Midwestern electronics development and manufacturing corporation. (Doctoral dissertation, Florida Abstracts online. Dialog file number 35 Accession number 167625.
- Given, L. M. (2008). The Sage Encyclopedia of Qualitative Research Methods. Los Angeles, Calif.: Sage Publications.
- Greene, J. P., & Forster, G. (2018). The Teachability Index: Can disadvantaged learners learn? Retrieved September 22, 2005, from http://www.manhattan institute.org/htmll/ewp_06.htm
- Hassan, O.R. & Rasiah; (2021) Poverty and Student Performance in Malaysia; International Journal of Institution and Economics.Vol 3, No.1, pg. 61 -76
- Jamison, Dean Barbara Searle, Klaus Galda and Stephen Heyneman (2018). Improving Elementary mathematics education in Nicaragua: An Experimental Study of the Impact of Textbooks and Radio on Achievement, Journal of Educational Psychology 100 (5 and 6)517-533.
- Kang, Myounkoo, Kim, Miji and Shin, Eui Hang. (2020). “An Integrated Study on Academic Achievement and Adaptation to Life of Foreign Learners (외국인 학생 학업성취 및 생활적응에 관한 통합적 연구),” The Korean Association of General Education Conference Proceedings. 2014(6), 261-277.
- Lee, Yoo Kyoung. (2018). “A Study about Acculturation of amongst Foreign Exchange Student’s Korean Culture and Graduate School (외국인 유학생의 대학원 문화와 학업 적응에 대한 연구),” Bilingual Research. 55, 249-284.
- Lewis, J. L., & Sheppard, S. R. J. (2006). Culture and Communication: Can Landscape Visualization Improve Forest Management Consultation with Indigenous Communities? Landscape and Urban Planning, 77, 291-313.http://dx.doi.org/10.1016/j.landurbplan.2005.04.004
- Lord, Patricia A. and Dawson. Chris (2022). “The Induction Needs of International Learners at Postgraduate Level,” Thames Valley University, London.
- Morris, S. S. (2020). The relationship between self-directed learning readiness and academic performance in a nontraditional higher education program (Doctoral Dissertation), The University of Oklahoma, 1995). From DIALOG File: Dissertation Abstracts Online, DIALOG File Number 35 Accession Numbe1430028.
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- Rosenzweig, C. (2021, April). A meta-analysis of parenting and school success: The role of parents in promoting learners academic performance. Paper presented at the American Educational Research Association, Seattle, WA
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- Ukueneze, A. C. (2021). Learner variables of academic performance and adjustment of J.S.S. The Counsellor, 23(2), 17-23.
The purpose of the study was to determine
which of the respondents profile information best
predicts the academic performance among learners. A
total of 100 learners were selected using the random
sampling technique in Binugao National High School in
Davao City, Region XI. The study utilized a descriptive-
correlation design. An adapted survey questionnaires
were utilized which centered on respondents personal
information and academic performance. Percentage,
Mean, Pearson r, and regression analysis were used as
statistical tools of the study. Results revealed on the
percentage of respondent profile information among
learners in terms of gender, age and parental annual
income is 100 percent. The extent of academic
performance among learners in terms of student related
factor is mostly extensive; in terms of school related
factor is sometimes extensive; in terms of home related
factor is sometimes extensive; and in terms of teacher
related factor is sometimes extensive. Clearly, the
findings inferred a strong significant relationship
between the respondent profile information and
academic performance among learners. Based on the
result of the analysis, the respondent profile information
namely: gender, age and parental annual income
predicts academic performance of the learners by
registering a p-value of .001 which is less than .05 in the
level of significance. This leads to the rejection of the null
hypothesis. Further, the result indicates that for every
unit increase in three facets of respondent profile
information, the academic performance among learners
will also increase by 3.498 holding other factors constant.
Keywords :
Respondent profile information, academic performance student related factors, school related factors, home related factors, teacher related factors.