What question did this study set out to answer?

To examine the influence of institutional support, curriculum integration, continuous professional development, and self-efficacy on lecturers' preparedness to integrate AI into inclusive teaching.

August 20, 2026Open Access

Predictors of Artificial Intelligence Supported Inclusive Teaching Preparedness among Bachelor of Education Lecturers in Selected Ugandan Universities

View Full Paper

Ask AI

Bookmark

To examine the influence of institutional support, curriculum integration, continuous professional development, and self-efficacy on lecturers' preparedness to integrate AI into inclusive teaching.
Cross-sectional survey of lecturers (N=210) teaching Bachelor of Education programmes at selected public and private universities in Uganda.
Assessed readiness and predictors using a structured questionnaire analysed via descriptive statistics, Pearson's correlation, and multiple linear regression.
Lecturers demonstrated a relatively low level of preparedness for AI-supported inclusive teaching (mean = 2.47, SD = 0.75).
The four predictor variables collectively accounted for 62.2% of the variance in preparedness (R² = .622, Adjusted R² = .615, F(4,205) = 64.18, p < .001).
Self-efficacy was the strongest predictor (β = .381, p < .001), followed by institutional support (β = .269, p < .001), continuous professional development (β = .214, p = .002), and curriculum integration (β = .163, p = .010).

Discussion

No takes yet. Share an insight, caveat, or question.

Implication

Cross-sectional survey reveals low AI-supported inclusive teaching readiness among education lecturers, highlighting self-efficacy and institutional support as key predictors.

Cite This Study

Edison et al. (2026) studied this question.

synapsesocial.com/papers/6a86b6208a91293e6a1cdcfb https://doi.org/10.5281/zenodo.21990128

View Full Paper

Ask AI

Bookmark

Implication

Cross-sectional survey reveals low AI-supported inclusive teaching readiness among education lecturers, highlighting self-efficacy and institutional support as key predictors.

Predictors of Artificial Intelligence Supported Inclusive Teaching Preparedness among Bachelor of Education Lecturers in Selected Ugandan Universities

Key Points

Discussion

Implication

Cite This Study

Predictors of Artificial Intelligence Supported Inclusive Teaching Preparedness among Bachelor of Education Lecturers in Selected Ugandan Universities

Key Points

Discussion

Implication

Cite This Study

Also Consider

Also Consider