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Article . 2025
License: CC BY
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Article . 2025 . Peer-reviewed
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Article . 2025
License: CC BY
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Article . 2025
License: CC BY
Data sources: Datacite
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Clevika: Empirical Validation of Multi-Factor Matching in Supplemental Education

Authors: Cheberko, Tetiana;

Clevika: Empirical Validation of Multi-Factor Matching in Supplemental Education

Abstract

Clevika is an AI-driven tutoring marketplace that pairs students with tutors using a scientifically grounded, multi-dimensional compatibility engine built on four dimensions repeatedly proven to predict educational success: personality traits measured by the Big Five model, religious and cultural worldview, dominant teaching/learning style assessed through the VARK framework, and gender identity or preference. Born in a University of Florida dorm room in 2024, the platform reached the final stage of the 2025 UF AI Days Gator Tank competition and was awarded the Luby Microgrant from the Joan & Chester Luby Charitable Trust. This article chronicles every stage of that journey while presenting the most comprehensive synthesis to date of the peer-reviewed evidence showing that systematic compatibility matching produces retention increases of 12–38 % and learning-outcome gains of 0.18–0.74 standard deviations compared with traditional subject-skill or random matching. The analysis is supported by meta-analyses, randomized controlled trials, longitudinal cohort studies, and Clevika’s own 2025 University of Florida pilot data.

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Keywords

Gator Tank, Personalized tutoring, Personality congruence, University of Florida, Educational psychology, Student retention, Luby Microgrant, Academic achievement, Religious compatibility, Artificial intelligence in education, VARK learning styles, Gender matching

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green