Mastery experiences are the central source of self-efficacy: they strongly predict self-efficacy and uniquely predict intentions when other variables are controlled¶
Claim · All claims
Evidence · 1 study (2 entries) · associationalr1–r2·q2
Currency · newest study 2026 · checked against its sources 2026-10-28 (automated, 2 of 2 entries) · 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? In path analysis, mastery experiences had a strong influence on self-efficacy (β = 0.45, p < .01), while no other source of self-efficacy significantly influenced self-efficacy or outcome expectations. → Serkan Perkmen 2026
q2 i? In hierarchical regression, only mastery experiences (β = .23, p < .01) made a significant contribution among the sources of self-efficacy in step two. → Serkan Perkmen 2026 (2)
Evidence¶
Serkan Perkmen 2026¶
Serkan Perkmen, Sara Dexter. (2026). From sources of self-efficacy to technology integration intentions: a new social cognitive model. Educational technology research and development. https://doi.org/10.1007/s11423-026-10623-0
q2 · i? · associational · r1
Path analysis of the Social Cognitive Model of Technology Integration with 144 preservice teachers; mastery experiences predicted self-efficacy (β = 0.45, p < .01) but not outcome expectations, and no other source showed a significant path.
"Mastery experiences were found to have a strong influence on self-efficacy (β = 0.45, p < .01) but not a significant influence on outcome expectations. None of the other sources of self-efficacy was found to have a significant influence on self-efficacy and outcome expectations."
Serkan Perkmen 2026 (2)¶
Serkan Perkmen, Sara Dexter. (2026). From sources of self-efficacy to technology integration intentions: a new social cognitive model. Educational technology research and development. https://doi.org/10.1007/s11423-026-10623-0
q2 · i? · associational · r2
Hierarchical regression with the same sample; the sources-of-self-efficacy block added 3% of variance beyond self-efficacy and outcome expectations, and "only mastery experiences" was significant in that step.
"Among the sources of self-efficacy, only mastery experiences (β = . 23, p < .01) made a significant contribution to the regression equation in the second step."
Discussion¶
Learner Variables¶
- Self-Efficacy — outcome: instruction changes it
Related Claims¶
- Outcome expectations have a stronger direct influence on technology integration intentions than self-efficacy, and interests contribute directly — related
- The Social Cognitive Model of Technology Integration explains 55% of variation in preservice teachers' technology integration intentions — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
mastery-experiences-central-source-self-efficacy |
title |
Mastery experiences are the central source of self-efficacy: they strongly predict self-efficacy and uniquely predict intentions when other variables are controlled |
description |
Mastery experiences are the central source of self-efficacy: they strongly predict self-efficacy and uniquely predict intentions when other variables are controlled |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
source_checked |
2026-10-28 |
generated |
by process:wiki-ingest on 2026-10-28 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — serkan-perkmen-2026, serkan-perkmen-2026-2 |
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