Abstract
Statistical resilience has become a critical academic and professional competence in higher education, particularly within teacher education programmes where students are expected to interpret data, conduct classroom-based inquiry, assess learner progress, and apply evidence-informed decision-making to improve instructional practice. However, many university students continue to experience statistics anxiety, low quantitative confidence, weak mathematical foundations, limited digital readiness, and poor engagement with statistics-related coursework, thereby undermining academic performance, research competence, and professional preparedness. This paper examined how blended learning, mentorship, and inclusive pedagogy can strengthen statistical resilience among university students in teacher education programmes, drawing comparative perspectives from global, African, and Kenyan higher education contexts. The paper adopted a conceptual and practice-informed review design using purposive sampling of relevant peer-reviewed articles, meta-analyses, institutional studies, and policy reports. The reviewed evidence indicates that mathematics and statistics anxiety interfere with students' confidence, numerical reasoning, problem-solving ability, and engagement with quantitative tasks. Globally, a higher-education meta-analysis by Vo, Zhu, and Diep reported a significant mean effect size of g+ = 0.385 from 51 effect sizes, demonstrating that blended learning can positively influence student achievement compared with traditional instruction. Kenyan evidence from a study of 148 staff in three public universities revealed that blended e-learning implementation is constrained by infrastructure, lecturer preparedness, technical support, and institutional readiness. The paper proposes institutional resilience indicators, including reducing low confidence in statistics from 55% to below 30%, reducing moderate or high statistics anxiety from 60% to below 35%, increasing timely assignment submission from 65% to at least 85%, and improving students' interpretation of basic statistical outputs from 50% to at least 80%. It recommends early diagnostic assessment, statistics clinics, peer-assisted learning, learning management system analytics, inclusive assessment, and continuous lecturer capacity development.
Publication details
Article URL: https://www.nijamss.org/articles/nijamss-v1s2-aug2026-022/
Full-text PDF: https://www.nijamss.org/articles/nijamss-v1s2-aug2026-022/full-text.pdf
References
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Citation
Dr. Daniel A. Otwori; Dr. Domeniter N. Kathula; Prof. John Cheluget. Inclusive Pedagogy: Global, African and Kenyan Higher Education Perspectives. Nexus International Journal of Applied Science, Medicine and Social Sciences, Vol. 1, Issue 2, August 2026.