Authors :
Jecca Marie C. Malicay; Marvin Gomez; Hermie B. Cordita
Volume/Issue :
Volume 11 - 2026, Issue 1 - January
Google Scholar :
https://tinyurl.com/5btb9ue5
Scribd :
https://tinyurl.com/bdexswtv
DOI :
https://doi.org/10.38124/ijisrt/26jan363
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
This literature review explores the critical role of socio-demographic variables—such as age, gender,
socioeconomic status (SES), parental education, school type, and geographical location—in shaping students' educational
experiences and outcomes, specifically focusing on mathematics achievement and Project-Based Learning (PBL)
environments. Methodologically, this review synthesizes qualitative and quantitative studies to identify causal influences
and pathways that link these variables to academic success. The findings emphasize the need for educators and policymakers
to consider these factors when designing equitable instructional strategies to enhance student engagement and learning
outcomes.
Keywords :
Socio-Demographic Variables, Educational Outcomes, Project-Based Learning, Mathematics Achievement, Age, Gender, Socioeconomic Status, Parental Education.
References :
- Brusilovsky, P., & Millán, E. (2007). User models for adaptive hypermedia and adaptive educational systems. In P. Brusilovsky, A. Kobsa, & W. Nejdl (Eds.), The adaptive web (pp. 3–53). Springer. https://doi.org/10.1007/978-3-540-72079-9_1
- Coleman, J. S., Hoffer, T., & Kilgore, S. (1982). High school achievement: Public, Catholic, and private schools compared. Basic Books.
- Davis-Kean, P. E. (2005). The influence of parent education and family income on child achievement: The indirect role of parental expectations and the home environment. Journal of Family Psychology, 19(2), 294–304. https://doi.org/10.1037/0893-3200.19.2.294
- Eccles, J. S., & Wang, M. T. (2016). Cultural and contextual influences on student development and school engagement. International Journal of Educational Psychology, 5(2), 185–206. https://doi.org/10.17583/ijep.2016.2130
- Heckman, J. J. (2008). Schools, skills, and synapses (NBER Working Paper No. 14064). National Bureau of Economic Research. https://doi.org/10.3386/w14064
- Jackson, C., & Smith, J. (2019). Age-related differences in learning motivations among students engaged in project-based learning. Journal of Educational Psychology, 111(4), 765–780. https://doi.org/10.1037/edu0000312
- Lindberg, S. M., Hyde, J. S., Petersen, J. L., & Linn, M. C. (2010). New trends in gender and mathematics performance: A meta-analysis. Psychological Bulletin, 136(6), 1123–1135. https://doi.org/10.1037/a0021276
- Lubienski, S. T., Crane, C. C., & Lubienski, C. (2009). Charter, private, public schools and academics: New evidence from the ECLS-K. National Center for Education Statistics. https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2009045
- McNeal, R. B. (1999). Parental involvement as social capital: Differential effectiveness on academic achievement. Social Forces, 78(1), 117–144. https://doi.org/10.1093/sf/78.1.117
- Noble, K. (2017). The impact of geographic location on educational equity: A critical review. Educational Research Review, 23, 1–9. https://doi.org/10.1016/j.edurev.2017.08.002
- Piaget, J. (1950/1972). The psychology of intelligence (M. Piercy & D. E. Berlyne, Trans.). Routledge.
- Reardon, S. F. (2011). The widening academic achievement gap between the rich and the poor: New evidence and possible explanations. In R. Murnane & G. Duncan (Eds.), Whither opportunity? Rising inequality and the uncertain life chances of low-income children (pp. 91–116). Russell Sage Foundation Press.
- Wen, Z., Xu, Y., & Zhao, L. (2013). Exploring the effectiveness of alternative learning systems in marginalized communities: Challenges and outcomes. International Journal of Educational Development, 33(6), 607–615. https://doi.org/10.1016/j.ijedudev.2013.03.001
This literature review explores the critical role of socio-demographic variables—such as age, gender,
socioeconomic status (SES), parental education, school type, and geographical location—in shaping students' educational
experiences and outcomes, specifically focusing on mathematics achievement and Project-Based Learning (PBL)
environments. Methodologically, this review synthesizes qualitative and quantitative studies to identify causal influences
and pathways that link these variables to academic success. The findings emphasize the need for educators and policymakers
to consider these factors when designing equitable instructional strategies to enhance student engagement and learning
outcomes.
Keywords :
Socio-Demographic Variables, Educational Outcomes, Project-Based Learning, Mathematics Achievement, Age, Gender, Socioeconomic Status, Parental Education.