Literature on Support Systems Influencing STEM Subject Selection (South African Focus) 1. Teacher Influence in Rural STEM Contexts South African literature consistently highlights teachers as a critical support system influencing learners’ subject selection, particularly in rural schools. Basil Bernstein’s ideas on pedagogic control and transmission of knowledge help explain how teachers shape learners’ access to powerful knowledge such as STEM. In the South African context, Ramaila (2022) found that teachers’ subject knowledge, teaching approaches, and encouragement significantly influence learners’ participation in mathematics and science. Similarly, Makgato (2007) argues that ineffective teaching strategies and lack of practical engagement reduce learners’ interest in science subjects. Research by Sedibe (2011) further shows that teacher expectations and attitudes toward learners in disadvantaged schools can either promote or limit learners’ subject choices. In many rural schools, teachers tend to focus on examination performance rather than conceptual understanding, which discourages learners from selecting STEM subjects perceived as difficult. 2. Inequalities in School Resources and Infrastructure Inequality in school resources remains a major issue in South Africa. Studies by Moloi (2010) and Makgato (2007) highlight that many rural schools lack laboratories, libraries, and basic teaching materials, which limits effective STEM teaching. Jonathan Jansen emphasizes that historical inequalities in the South African education system continue to shape resource distribution, disadvantaging rural schools. This results in limited exposure to practical science, reinforcing learners’ perceptions that STEM subjects are inaccessible or too difficult. Furthermore, Spaull (2013) notes that South Africa’s education system is highly unequal, with rural schools consistently underperforming due to lack of resources and support. These structural challenges directly influence learners’ subject selection by limiting both exposure and confidence in STEM subjects. 3. Family and Socio-Economic Influence Family background plays a significant role in shaping learners’ educational choices. Van der Berg (2008) found that socio-economic status strongly influences educational outcomes in South Africa, with learners from disadvantaged backgrounds less likely to pursue STEM subjects. In rural contexts, parents often have limited knowledge of STEM careers, which reduces their ability to guide learners effectively. Sedibe (2011) notes that parental involvement and expectations significantly affect learners’ aspirations, including subject choices. When parents lack awareness of STEM opportunities, learners may not view these subjects as viable pathways. 4. Peer and Social Influence Peer influence is another important support system affecting learners’ decisions. Maree (2010) highlights that learners’ career choices are often shaped by their social environment, including friends and community expectations. In rural schools, where academic cultures may not strongly support STEM, peer groups can discourage learners from choosing subjects perceived as difficult. However, positive peer influence, such as collaborative learning and group study, can enhance learners’ confidence and willingness to engage with STEM subjects. 5. Career Guidance and School-Based Support Career guidance is often limited in rural South African schools. Diale (2011) found that many schools lack structured career guidance programmes, leaving learners without adequate information about subject choices and career pathways. Additionally, Maree (2013) emphasizes the importance of career counselling in helping learners make informed subject choices. Without proper guidance, learners may avoid STEM subjects due to misconceptions about difficulty or career relevance. School-based interventions such as STEM clubs, mentorship programmes, and exposure to role models have been identified as effective strategies for improving participation, but these are often lacking in rural contexts.write a literature review with an introduction

Here is a literature review on support systems influencing STEM subject selection in South Africa:

Introduction
The selection of Science, Technology, Engineering, and Mathematics (STEM) subjects is crucial for national development, yet various support systems significantly influence learners' participation, particularly in South Africa's rural contexts. This literature review explores key factors identified in South African research, including teacher influence, inequalities in school resources, family and socio-economic background, peer dynamics, and the availability of career guidance, all of which collectively shape learners' engagement with and selection of STEM subjects.

1. Teacher Influence in Rural STEM Contexts
Teachers are consistently identified as a critical support system, especially in rural South African schools. Research by Ramaila (2022) highlights that teachers' subject knowledge, teaching approaches, and encouragement are pivotal in influencing learners' participation in mathematics and science. Conversely, Makgato (2007) points out that ineffective teaching strategies and a lack of practical engagement can diminish learners' interest. Sedibe (2011) further demonstrates that teacher expectations and attitudes, particularly in disadvantaged schools, can either foster or hinder learners' subject choices, with a focus on examination performance often discouraging the selection of perceived difficult STEM subjects.

2. Inequalities in School Resources and Infrastructure
Significant inequalities in school resources and infrastructure profoundly impact STEM subject selection in South Africa. Studies by Moloi (2010) and Makgato (2007) reveal that many rural schools lack essential facilities such as laboratories, libraries, and basic teaching materials, which impedes effective STEM instruction. Jonathan Jansen emphasizes that historical inequalities continue to disadvantage rural schools in resource distribution, limiting practical science exposure and reinforcing perceptions of STEM subjects as inaccessible. Spaull (2013) corroborates that rural schools consistently underperform due to these resource deficits, directly affecting learners' confidence and choices in STEM.

3. Family and Socio-Economic Influence
Family background and socio-economic status play a substantial role in shaping learners' educational choices. Van der Berg (2008) found a strong correlation between socio-economic status and educational outcomes, with learners from disadvantaged backgrounds less likely to pursue STEM subjects. In rural areas, parents often possess limited knowledge of STEM careers, which restricts their ability to provide effective guidance. Sedibe (2011) notes that parental involvement and expectations significantly influence learners' aspirations, suggesting that a lack of awareness about STEM opportunities can deter learners from viewing these subjects as viable pathways.

4. Peer and Social Influence
Peer influence constitutes another important support system affecting learners' decisions regarding STEM subjects. Maree (2010) indicates that learners' career choices are often shaped by their social environment, including friends and community expectations. In rural schools, where academic cultures may not strongly support STEM, peer groups can discourage the selection of subjects perceived as difficult. However, positive peer influence, such as collaborative learning, can enhance learners' confidence and willingness to engage with STEM subjects.

5. Career Guidance and School-Based Support
The availability of career guidance is often limited in rural South African schools, impacting learners' subject choices. Diale (2011) found that many schools lack structured career guidance programmes, leaving learners without adequate information about subject options and career pathways. Maree (2013) underscores the importance of career counselling in enabling informed subject choices, as misconceptions about difficulty or career relevance can lead learners to avoid STEM subjects. School-based interventions like STEM clubs, mentorship programmes, and exposure to role models, which are effective in improving participation, are frequently absent in rural contexts.