What does this research mean for the field?

Artificial intelligence use frequency and personal integration strategy are positively associated with perceived learning improvement among higher education students, though the benefits of increased frequency exhibit diminishing returns at higher usage levels. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To assess how AI usage frequency and personal integration strategies relate to perceived learning improvement among higher education students.

September 5, 2026Journal of Applied Research in Higher Education

Artificial intelligence use and students’ perceived learning improvement: evidence from individual-level data in Côte d’Ivoire

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Authors

KOKifory Ouattara SHSilue Holoh

Discussion

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Overview

Cross-sectional survey reveals positive associations between AI use frequency and perceived learning improvement in university students, indicating diminishing returns at daily usage levels.

Key Points

To assess how AI usage frequency and personal integration strategies relate to perceived learning improvement among higher education students.
Surveyed 850 license, Master’s, and doctoral students in Côte d’Ivoire regarding AI practices and learning perceptions.
Estimated binary logit and quadratic models to evaluate perceived learning improvement while controlling for age, gender, study level, and AI-related concerns.
AI-use frequency and personal AI integration strategies were positively and significantly associated with higher perceived learning improvement.
Quadratic analysis demonstrated diminishing returns, with perceived benefits increasing from non-use to several uses per week but plateauing toward daily use.
Control variables, including student age, gender, study level, and AI-related concerns, showed no statistically significant relationship with perceived learning improvement.

Cite This Study

Ouattara et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd3f16b95aff0620eb2f8 https://doi.org/10.1108/jarhe-05-2026-1030

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September 5, 2026Journal of Applied Research in Higher Education

Artificial intelligence use and students’ perceived learning improvement: evidence from individual-level data in Côte d’Ivoire

View Full Paper

Ask AI

Bookmark

Authors

KOKifory Ouattara SHSilue Holoh

Discussion

Member takes

Overview

Cross-sectional survey reveals positive associations between AI use frequency and perceived learning improvement in university students, indicating diminishing returns at daily usage levels.

Key Points

To assess how AI usage frequency and personal integration strategies relate to perceived learning improvement among higher education students.
Surveyed 850 license, Master’s, and doctoral students in Côte d’Ivoire regarding AI practices and learning perceptions.
Estimated binary logit and quadratic models to evaluate perceived learning improvement while controlling for age, gender, study level, and AI-related concerns.
AI-use frequency and personal AI integration strategies were positively and significantly associated with higher perceived learning improvement.
Quadratic analysis demonstrated diminishing returns, with perceived benefits increasing from non-use to several uses per week but plateauing toward daily use.
Control variables, including student age, gender, study level, and AI-related concerns, showed no statistically significant relationship with perceived learning improvement.

Cite This Study

Ouattara et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd3f16b95aff0620eb2f8 https://doi.org/10.1108/jarhe-05-2026-1030

View Full Paper

Ask AI

Bookmark