Claims

Calculator effects on mathematics achievement tend to converge at moderate effectiveness, with grade level and assessment as statistically significant moderators

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q3
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.

q3 i? Calculator effect sizes in prior meta-analyses tend to converge at the moderate level of effectiveness, and the statistically significant moderators established in the literature are grade level and assessment. → Young 2016

Evidence

Young 2016

Young, J.R. (2016). Unpacking TPACK in Mathematics education research: A systematic review of meta-analyses. International Journal of Educational Methodology, 2(1), 19-29. https://doi.org/10.12973/ijem.2.1.19

q3 · i? · quant-synthesis · r2

The review's synthesis of calculator meta-analyses (Ellington 2006, ES .30; Nikolaou 2001, ES .50; Tokpah 2008, ES .38). The article states calculator effect sizes "tend to converge at the moderate level of effectiveness" against Cohen's benchmarks, and that "The statistically significant moderators of calculator effec ts on mathematics achievement established in the literature are grade level and assessment."

"The effect sizes for calculator use tend to converge at the moderate level of effectiveness, based on effect size benchmarks proposed by Cohen (1992): .20 (small), .50 (medium), and (.80) large."

Discussion

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