ADAPTED INSTRUCTIONAL MATERIALS AND ASSISTIVE LEARNING RESOURCES AS PREDICTORS OF INCLUSIVE EDUCATION EFFECTIVENESS IN PUBLIC PRIMARY SCHOOLS IN AKWA IBOM STATE, NIGERIA

Abstract

Inclusive education requires more than the placement of learners with special educational needs in ordinary classrooms; it requires instructional resources that make the curriculum accessible and participation feasible. This study examined adapted instructional materials and assistive learning resources as predictors of inclusive education effectiveness in public primary schools in Akwa Ibom State, Nigeria. The study was anchored on the Social Model of Disability and complemented by Universal Design for Learning. A quantitative cross-sectional correlational design was specified for a target population of 18,738 public-primary-school teachers reported in the 2022 Universal Basic Education Commission school digest. A sample of 392 was derived using Yamane's formula at a 5% margin of error, with multistage sampling specified across the state. The proposed instrument contained 18 Likert-type items measuring adapted instructional materials, assistive learning resources and inclusive education effectiveness. For this article-development draft, the numerical results are based on a research-calibrated synthetic benchmark dataset of 378 teacher cases and are therefore not presented as observed field findings. Benchmark reliability coefficients were .835, .873 and .833 respectively. Adapted instructional materials correlated positively with inclusive education effectiveness (r = .397, p < .001), while assistive learning resources showed a somewhat stronger relationship (r = .447, p < .001). The joint regression model was significant, F(2, 375) = 65.90, p < .001, R² = .260. Both adapted instructional materials (β = .265, p < .001) and assistive learning resources (β = .347, p < .001) made unique positive contributions. The model indicates that resource accessibility is a plausible and testable condition for effective inclusion, but the benchmark estimates must be replaced with observed field data before empirical submission.