Mean new vocabulary learned per hour declined as students increased difficulty level, so time spent was not the primary determinant of learning¶
Claim · All claims
Evidence · 1 study (2 entries) · causalr1–r2·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? Figure 4 displays declining productivity in mean new vocabulary learned per hour while students increased mean level of difficulty from 11.36 to 13.13. → Whitaker 2016
q2 i? The author concluded the number of hours spent using the software was not the primary determinant of developing English skills. → Whitaker 2016 (2)
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
Figure 4 caption reporting the plotted relationship between the productivity measure and difficulty level; the author offers increased difficulty as a possible explanation for the decline but states further investigation is needed into what else could be behind it.
"Although the figure displays declining productivity in terms of mean new vocabulary learned per hour (left axis), students increased learning effort in terms of mean level of difficulty (right axis), which may explain the divergence."
Whitaker 2016 (2)¶
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 · r2
Author's interpretation from usage reviews and class discussions: some students inflated hourly usage by leaving and returning to the application, so new vocabulary learned per hour became the key productivity metric in subsequent performance reviews.
"the data revealed that the number of hours spent using the software was not the primary determinant of developing English skills."
Discussion¶
Related Claims¶
- Students used their assigned ed-tech tools far below recommended levels, and usage declined over the summer — related
- 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
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