Effects of an 80-10-10 Multilingual CTCA-Harlybot Model on Achievement and Critical Thinking in Mobile and Adaptive Systems

Authors

  • Alli Abdurrazaq Cyber Security Department | Fountain University Osogbo Author
  • Peter A. Okebukola African Centre of Excellence for Innovative Technology in STEM Education (ACEITSE) Lagos State University, Ojo, Lagos State, Nigeria Author
  • Toyin Enikuomehin African Centre of Excellence for Innovative Technology in STEM Education (ACEITSE) Lagos State University, Ojo, Lagos State, Nigeria Author
  • Deborah Agbanimu African Centre of Excellence for Innovative Technology in STEM Education (ACEITSE) Lagos State University, Ojo, Lagos State, Nigeria Author
  • Victoria Abokunwa African Centre of Excellence for Innovative Technology in STEM Education (ACEITSE) Lagos State University, Ojo, Lagos State, Nigeria Author

DOI:

https://doi.org/10.65820/ejes-13vol2-issue2-2026

Keywords:

Culturo-Techno-Contextual Approach-2.0, Chatbot, Multilingual scaffolding, 80-10-10 model, Mobile and Adaptive Systems, OSI Model

Abstract

Purpose: This study compared three instructional approaches for teaching a Mobile and Adaptive Systems course: traditional lecture, Harlybot-supported Culturo-Techno-Contextual Approach (CTCA) in English, and Harlybot-supported CTCA using an 80-10-10 English–Nigerian Pidgin–Yoruba code-switching model. It examined their effects on students' achievement (retention) and critical-thinking skills.

Methodology: A pre-test–post-test quasi-experimental design involving 75 second-year undergraduates was adopted. Cognitive Task Analysis identified the OSI Model as the most difficult concept, informing the intervention. Quantitative data were analysed using MANCOVA with pre-test scores as covariates, while think-aloud protocols and focus groups provided qualitative evidence.

Results: No statistically significant differences were found across the three approaches (p > .05). However, the multilingual CTCA group consistently achieved the highest adjusted mean scores for achievement and critical thinking, with moderate-to-large effect sizes (η² = .09–.14). Qualitative findings showed that strategic, culturally grounded code-switching reduced extraneous cognitive load and enhanced meaningful learning.

Novelty and Contributions: The study extends Okebukola's Eco-Techno-Cultural Theory by identifying an optimal indigenous-language threshold (≤20%) for teaching complex computing concepts and demonstrating the effectiveness of integrating AI-supported instruction, CTCA, and multilingual pedagogy.

Practical and Social Implications: The findings suggest that limited, purposeful AI-supported code-switching can improve learning while preserving academic rigour, thereby providing a culturally responsive approach to STEM education in multilingual African universities.

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Published

2026-09-30

How to Cite

Abdurrazaq , A., Okebukola, P. A., Enikuomehin, T., Agbanimu, D., & Abokunwa, V. (2026). Effects of an 80-10-10 Multilingual CTCA-Harlybot Model on Achievement and Critical Thinking in Mobile and Adaptive Systems. Elicit Journal of Education Studies, 2(2), 164-177. https://doi.org/10.65820/ejes-13vol2-issue2-2026