Institutional support significantly and positively predicts teacher confidence in adopting AI among Philippine teachers¶

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · no dated study recorded · not yet checked against its sources · not reviewed by a person

Subclaims¶

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Institutional support has a strong, statistically significant positive effect on teacher confidence in adopting AI (V = 0.537, p < 0.001), with the model explaining 47.6% of variance in confidence. → mmr-model1

Evidence¶

mmr-model1¶

Vanessa Baltazar Sibug, Maria Anna David Cruz, Vicky Pineda Vital, Juvy Cruz Grume, Almer Balingit Gamboa, Emerson Quiambao Fernando, Lloyd David Feliciano, Jordan Lansang Salenga, and John Paul Palo Miranda. 2025. AI Adoption Among Teachers: Insights on Concerns, Support, Confidence, and Attitudes. In 2025 the 9th International Conference on Education and Multimedia Technology (ICEMT) (ICEMT 2025), July 29–August 01, 2025, Osaka, Japan. ACM, New York, NY, USA. https://doi.org/10.1145/3761843.3761881

q2 · i? · associational · r1

Cross-sectional survey of 260 teachers in Pampanga, Philippines (52 elementary, 161 secondary, 47 college), analyzed with moderated multiple regression. The first model found support predicted confidence; the model accounted for 47.6% of variance (R2 = 0.476) with strong fit (F = 87.35, p < 0.001).

"Theresultsrevealedastrong, statistically significant positive effect of support on confidence (V = 0.537, p < 0.001),indicatingthatincreasedaccesstoresources,training,andin- frastructure enhances teacher confidence in adopting AI."

Discussion¶

Learner Variables¶

Social Supports — predictor: learners who differ on it differ in outcomes

Teachers' expectancy beliefs about successfully using AI applications shape their motivation to use them (theoretical argument). — the general claim this finding bears on, with the studies behind it
Teacher confidence strongly predicts favorable attitudes toward AI adoption, while the direct effect of support on attitudes is not significant — related
Teacher confidence fully mediates the relationship between institutional support and attitudes toward AI adoption — related
Teachers report strongly positive attitudes toward AI, low concern, high confidence in using AI tools, and strong but uneven institutional support — related

Page metadata

Field	Value
`type`	`claim`
`id`	`institutional-support-predicts-teacher-ai-confidence`
`title`	`Institutional support significantly and positively predicts teacher confidence in adopting AI among Philippine teachers`
`description`	`Institutional support significantly and positively predicts teacher confidence in adopting AI among Philippine teachers`
`status`	`review`
`evidence_strength`	`moderate`
`generated`	by `process:wiki-ingest` on `2026-10-11`
`trust`	unverified — no one has confirmed this page's content
`sources`	1 — `mmr-model1`

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