Female students used the application more and learned more vocabulary, while male students scored higher on performance rating and posttest¶
Claim · All claims
Evidence · 1 study · causalr1·q2
Currency · newest study 2016 · 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? Female weekly hourly usage (M = 3.39) was greater than male usage (M = 2.96), and females learned more new vocabulary (M = 1071.21) than males (M = 824.00). → Whitaker 2016
q2 i? Male students outperformed female students on overall performance rating (M = 2444.26 vs M = 2335.31) and on the posttest (M = 30.20 vs M = 27.36). → Whitaker 2016
Evidence¶
Whitaker 2016¶
Whitaker, J. T. (2016). Evaluating the Effectiveness of Computer Applications in Developing English Learning. International Journal of Environmental & Science Education, 11(18), 12947-12958. http://creativecommons.org/licenses/by/4.0/
q2 · i? · causal · r1
Descriptive gender comparison of usage and performance metrics from the application logs in the 30-day experimental period; females showed higher usage and vocabulary learned, while males outperformed females on overall performance rating and posttest scores as printed in the Results section.
"In terms of gender, female weekly hourly usage (M = 3.39, SD = 1.54, Min = 1.10, Max = 7.57) was greater than male usage (M = 2.96, SD = 1.37, Min = 1.25, Max = 6.34). Female students learned more new vocabulary (M = 1071.21, SD = 568.87, Min = 95, Max = 2502) than male students (M = 824.00, SD = 329.14, Min = 248, Max = 1402)."
Discussion¶
Learner Variables¶
- Gender — predictor: outcomes differ by group: a gap reflecting circumstances and treatment, not a cause
Related Claims¶
- During the 30-day experimental period students averaged 3.21 hours of weekly application use and learned 968.21 new vocabulary items on average — related
- Female participants exposed to goal-setting training scored significantly higher in English language post-test than male participants — related
- Female gender, higher autonomous motivation, lower prior knowledge, and higher final course grades each predict more frequent voluntary StatBot use among graduate statistics students — related
- In the task-based ESP class, male learners significantly outperformed female learners on the technical vocabulary post-test — related
- Syntea usage rates differ slightly by gender, with female students (59.05%) higher than male students (54.94%) — related
Page metadata
| Field | Value |
|---|---|
status |
review |
generated |
by process:wiki-ingest on 2026-11-02 |
trust |
unverified — no one has confirmed this page's content |
Frontmatter is the page's machine-readable record — see the Schema & Guide.