There are disparities in achievement and opportunity across the board in areas of socio-economic disadvantage. The gaps in mathematics are particularly stark and this has significant negative implications for student choice in post-secondary education and subsequent access to further education and occupations, particularly within STEM-fields. This study uses Bronfenbrenner and Morris’s (2007) Process-Person-Context-Time (PPCT) as a theoretical framework to present a snapshot of some of the influential factors at play, and then to examine the initial results of a systematic literature review (SLR) that explores empirical attempts that have been made to address these issues.
The importance of education in relation to future earnings, health and wellbeing is well understood, and, according to the Salamanca Statement and Framework outlined by UNESCO (1994), it behoves governments and other stakeholders around the world to implement strategies that will improve the educational opportunities for disadvantaged children. However, in order to do so, it is essential to firstly ask what factors might influence these outcomes, and secondly, how can we best address them. In this introductory section the PPCT theoretical framework is used to present some of the myriad factors at play specifically within the field of mathematics education, providing a holistic base upon with to consider any strategies to address them. Using PPCT as a lens, the following key points have emerged:
Process: According to Ekmekci, Corkin, and Fan (2019), while students from socio-economically disadvantaged backgrounds are particularly in need of effective pedagogy, they are more likely to “receive less effective instruction on average compared to their higher income peers” p. 58. Within such contexts, teacher’s pedagogic approaches tend to focus more on controlling behaviours (Megowan-Romanowicz, Middleton, Ganesh, & Joanou, 2013). These are examples of intrinsic didactical exclusion which reproduce structural disadvantage in societies, through mathematics.
Person: As noted by Ní Shuilleabhain, Cronin, and Prendergast (2020), students’ attitudes towards mathematics tend to be more negative in schools in areas of low Socio-Economic Status (SES), and pupils in such schools tend to have higher levels of mathematical anxiety and lower self-concept in mathematics.
Context: Low SES Neighbourhoods are often recognised as being less conducive to educational achievement, with less access to social capital via mentors or role models, and fewer resources (Dietrichson, Bøg, Filges, & Klint Jørgensen, 2017). Dotson and Foley (2016) highlight the challenges in hiring and retaining high quality mathematics teachers to schools in low SES areas, citing the “inherent difficulty” of working in such contexts. This can lead to a cycle of low expectations for students, and, given that “the development of student motivation flows at least partially through teacher motivations and motivation related behaviors” (Megowan-Romanowicz et al., 2013, p. 53), the influence of such low expectations can be damaging.
Time: The initial years in post-primary are understood as crucial for a student’s mathematical journey, with performance at this stage acting as a gatekeeper to higher-level mathematics courses and beyond that to STEM courses and careers. Unfortunately, it is precisely at this juncture that achievement gaps tend to widen for students from lower SES backgrounds (McKenna, Muething, Flower, Bryant, & Bryant, 2015).
This section has highlighted a few of the many reasons why achievement in mathematics is stratified along socio-economic lines. This study uses a SLR methodology to attempt to address the following research questions:
What types of empirical research have been undertaken aiming to address the mathematical achievement gap between low SES students and their more affluent peers?What ‘best practices’ or ‘guidelines’ can be extrapolated from these studies to inform future work?
Methodology, Methods, Research Instruments or Sources Used
The goal of this study is to review empirical research reporting on interventions that aim to address issues in mathematics education associated with low SES, with a particular focus on the post-primary education sector. Where possible, emphasis will be placed on the 11 – 15 age group, reflecting the impact of the Time component of the PPCT model as highlighted above. Having identified relevant studies, this research aims to explore and build on what can be learned from such an analysis. The search procedure drew on six relevant databases: ERIC (EBSCOhost), British Education Index, Academic Search Complete, SCOPUS, Web of Science, and APA PsycArticles. Concatenated (using the AND operator) search terms in each database related to subject (mathematics), education level (post primary), educational disadvantage (low SES), and interventions (empirical). In each database, the searches were conducted across title and abstract (using the OR operator) and the subject thesaurus where available.Once duplicates were removed, a total of 528 studies remained for title and abstract screening. Inclusion and exclusion criteria relating to the population, intervention, outcome, and study characteristics (PICOS) were used to support the identification of relevant articles. Three of the four authors have been involved in the screening process and all of the titles/abstracts were screened by at least two researchers. There was approximately 90% agreement between the researchers, with any conflicts resolved by a third reviewer. Of the articles screened, 449 studies were deemed irrelevant, leaving 79 for full-text review. At this point the full review has not been completed, but some very interesting initial findings have emerged, with possible implications for practice.
Conclusions, Expected Outcomes or Findings
At this early stage of analysis, the interventions identified in the literature fall under the two broad categories of teacher professional development (PD), and diverse pedagogic approaches implemented directly with students. Both fall under the category of Process within the PPCT framework, with the pedagogically focused interventions impacting on the Person at the centre of the model (the student) and the professional development on the Context and the teachers’ influence therein. Given the significant extant research highlighting the fact that teacher’ self-efficacy and beliefs can have a substantial impact on student outcomes (Archambault, Janosz, & Chouinard, 2012), it stands to reason that initiatives that aim to support students from low SES backgrounds should also focus on PD in these areas. Promoting a positive classroom climate provides scope to improve student-teacher relationships and to potentially enhance student motivation and achievement. The work of Valerio (2021) points to the importance of structuring PD in a sustained way that supports collaboration between teachers, and an iterative approach to planning.Regarding pedagogy that supports student engagement, results indicate that more focus should be placed on mastery rather than performance goals, emphasising active learning approaches (Megowan-Romanowicz et al., 2013). Mirza and Hussain (2014) highlight that it is important to take the time to ensure deep understanding using “rich” tasks. And Cervantes, Hemmer, and Kouzekanani (2015) note the positive impact of problem- and project-based learning on students from minority backgroundsResults from the Programme for International Student Assessment (PISA) show that the strength of the relationship between test scores and socio-economic status (SES) varies markedly between countries (OECD, 2010, 2013), indicating that with the right supports, it can be possible to overcome a disadvantaged background (Dietrichson et al., 2017). The results of this research may go some way to providing a roadmap to achieving this.
References
Archambault, I., Janosz, M., & Chouinard, R. (2012). Teacher Beliefs as Predictors of Adolescents' Cognitive Engagement and Achievement in Mathematics. Journal of Educational Research, 105(5), 319-328. doi:http://dx.doi.org/10.1080/00220671.2011.629694
Bronfenbrenner, U., & Morris, P. A. (2007). The bioecological model of human development. Handbook of child psychology, 1.
Cervantes, B., Hemmer, L., & Kouzekanani, K. (2015). The impact of project-based learning on minority student achievement: implications for school redesign. Education Leadership Review of Doctoral Research, 2(2), 50-66.
Dietrichson, J., Bøg, M., Filges, T., & Klint Jørgensen, A.-M. (2017). Academic interventions for elementary and middle school students with low socioeconomic status: A systematic review and meta-analysis. Review of educational research, 87(2), 243-282. doi:10.3102/0034654316687036Dotson,
L., & Foley, V. (2016). Middle Grades Student Achievement and Poverty Levels: Implications for Teacher Preparation. Journal of Learning in Higher Education, 12(2), 33-44. Ekmekci, A., Corkin, D.
M., & Fan, W. (2019). A multilevel analysis of the impact of teachers' beliefs and mathematical knowledge for teaching on students' mathematics achievement. Australian Journal of Teacher Education (Online), 44(12), 57-80.
McKenna, J. W., Muething, C., Flower, A., Bryant, D. P., & Bryant, B. (2015). Use and Relationships among Effective Practices in Co-Taught Inclusive High School Classrooms. International Journal of Inclusive Education, 19(1), 53-70.
Megowan-Romanowicz, M. C., Middleton, J. A., Ganesh, T., & Joanou, J. (2013). Norms for participation in a middle school mathematics classroom and its effect on student motivation. Middle Grades Research Journal, 8(1), 51.
Mirza, A., & Hussain, N. (2014). Motivating Learning in Mathematics through Collaborative Problem Solving: A Focus on Using Rich Tasks. Journal of Education and Educational Development, 1(1), 26-39.
Ní Shuilleabhain, A., Cronin, A., & Prendergast, M. (2020). Maths Sparks engagement programme: investigating the impact on under-privileged pupils’ attitudes towards mathematics. Teaching Mathematics and Its Applications: International Journal of the IMA, 40(1), 133-153. OECD. (2010).
PISA 2009 Results: Overcoming Social Background.OECD. (2013).
PISA 2012 results: excellence through equity: giving every student the chance to succeed (volume II) (9789264201125 (print)). Retrieved from Paris: http://www.oecd.org/pisa/keyfindings/pisa-2012-results-volume-ii.htm
UNESCO. (1994). The Salamanca Statement and Framework for action on special needs education: Adopted by the World Conference on Special Needs Education; Access and Quality: UNESCO.
Valerio, J. (2021). Tracing take-up across practice-based professional development and collaborative lesson design. Paper presented at the Proceedings of the 43rd Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education.