Ghanaian pre-service science teachers hold significantly positive performance expectancy and effort expectancy toward AI¶
Claim · All claims
Evidence · 1 study (2 entries) · associationalr2·q2
Currency · newest study 2026 · 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? All performance expectancy items scored above the neutral midpoint (e.g., M = 4.04, SD = .933 for improving lesson quality) and were significantly higher than the midpoint (p < .001). → Amponsah 2026
q2 i? All effort expectancy items scored above the midpoint (e.g., M = 3.89, SD = .994 for ease of learning and use), with the lowest item on required effort (M = 3.52, SD = 1.094). → Amponsah 2026 (2)
Evidence¶
Amponsah 2026¶
Amponsah, K. D., Adu-Boahen, J., Commey-Mintah, P., Kumassah, E. K., Ayittey, R. F., Nketsiah, J. (2026). Perceptions And Acceptance of Artificial Intelligence in Science Education Programmes: Voices of Pre-Service Science Teachers. Education Quarterly Reviews, 9(3), 51-65. https://doi.org/10.31014/aior.1993.09.03.724
q2 · i? · associational · r2
One-sample t-tests on performance expectancy items in the survey of 380 pre-service science teachers; Table 2 reports means from 3.80 to 4.13, all above the midpoint of 3.0, with p < .001 for every item.
"One-sample t-test results revealed that all these mean scores were significantly higher than the neutral midpoint, as indicated by statistically significant t-values (p < .001), suggesting that teachers' positive perceptions of AI are not due to chance but represent a meaningful trend in the sample."
Amponsah 2026 (2)¶
Amponsah, K. D., Adu-Boahen, J., Commey-Mintah, P., Kumassah, E. K., Ayittey, R. F., Nketsiah, J. (2026). Perceptions And Acceptance of Artificial Intelligence in Science Education Programmes: Voices of Pre-Service Science Teachers. Education Quarterly Reviews, 9(3), 51-65. https://doi.org/10.31014/aior.1993.09.03.724
q2 · i? · associational · r2
Table 3 reports effort expectancy means from 3.52 to 3.90, all significantly above the midpoint (p < .001). The article notes "some reservations about the effort involved" on the lowest-scoring item.
"The results for effort expectancy indicate that teachers generally perceive AI applications as easy to use and integrate into science teaching."
Discussion¶
Learner Variables¶
- Motivation — outcome: instruction changes it
Related Claims¶
- Actual classroom use of AI among Ghanaian pre-service science teachers is moderate despite strong intentions, indicating an intention-practice gap — related
- Ghanaian pre-service science teachers show positive attitudes, perceived behavioural control, and behavioural intentions toward AI — related
- Students were more positive than staff that GAI use enhances academic performance, with staff means below the scale midpoint — related
- Teachers who believe AI will help them reach professional goals and improve students' learning outcomes (utility value) may be more motivated to use it (theoretical argument). — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
positive-performance-effort-expectancy-ai-pre-service-teachers |
title |
Ghanaian pre-service science teachers hold significantly positive performance expectancy and effort expectancy toward AI |
description |
Ghanaian pre-service science teachers hold significantly positive performance expectancy and effort expectancy toward AI |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — amponsah-2026, amponsah-2026-2 |
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