Innovative Teaching Methods Supported by Artificial Intelligence and Students’ Mathematical Problem-Solving: The Mediating Role of Student Engagement
The study investigated how innovative, AI-supported teaching methods relate to the mathematics problem-solving ability of Senior High School (SHS) students in Ghana. This study examined how teachers’ AI-supported pedagogical practices relate to students’ problem-solving ability, the extent to which student engagement serves as an explanatory variable for that relationship, and whether students’ mathematical self-belief (MSB) moderates that relationship. A quantitative cross-sectional design was employed; partici…

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Researchers surveyed 385 senior high school students in Ghana to test how teachers' AI-supported pedagogical practices relate to mathematics problem-solving, whether student engagement explains that link, and whether mathematical self-belief moderates it.
The association matters because it points to engagement as the pathway through which AI-enhanced instruction may improve higher-order math skills, but the cross-sectional design and single-country school sample leave open whether the gains persist over time or transfer beyond this context.
- Study examined 385 students from public and private Senior High Schools in Ghana using a structured questionnaire and structural equation modeling.
- AI-supported pedagogical practices significantly enhanced both student engagement and problem-solving ability.
- Student engagement partially mediated the link between instructional practices and problem-solving ability.
- Mathematical self-belief had a direct influence on problem-solving but did not significantly moderate the teaching-practice relationship.
Teachers' AI-supported pedagogical practices were associated with higher student engagement and stronger mathematical problem-solving ability among senior high school students in Ghana.
The rundown
The research used a quantitative cross-sectional survey of 385 SHS students in Ghana from public and private schools, with data from a structured questionnaire analyzed via structural equation modeling to test mediation and moderation.
Results indicated engagement as a critical mechanism linking teaching methods to learning outcomes, while mathematical self-belief showed a meaningful direct influence on problem-solving ability but did not significantly modify the relationship between pedagogical practices and problem-solving.
Sources
- Peer-reviewedEIKI Journal of Effective Teaching Methods2026-02-27
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