Using the mobile WEIEC application produced a significantly larger pretest-posttest gain in electric circuit interpretation ability than the control condition, with a reported 85.8% effective contribution¶

Claim · All claims
Evidence · 1 study (3 entries) · causal r1–r2 · q2 · i1–i3
Currency · newest study 2017 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i1 GLM mixed design showed a significant time-by-group interaction in pretest-posttest electric circuit interpretation scores between experiment and control groups (F = 4.524, sig 0.037, Partial Eta Squared 0.059). → Mitra Yadiannur and Supahar 2017 q2 i? The experimental group's pretest-posttest change was significant (MD = -28.811, p < 0.05), as was the control group's (MD = -24.649, p < 0.05). → Mitra Yadiannur and Supahar 2017 (2) q2 i3 The Multivariate Test attributed an effective contribution of 0.858 (85.8% Partial Eta Squared) to the WEIEC application for improving interpretation ability. → Mitra Yadiannur and Supahar 2017 (3)

Evidence¶

Mitra Yadiannur and Supahar 2017¶

Mitra Yadiannur and Supahar. (2017). Mobile Learning based Worked Example in Electric Circuit (WEIEC) Application to Improve the High School Students' Electric Circuits Interpretation Ability. International Journal of Environmental & Science Education, 12(3), 539-558. https://eric.ed.gov/?id=EJ1141565

q2 · i1 · causal · r2

Main field testing with 74 class XII students in SMA Negeri 5 Samarinda using a pretest-posttest control group design analyzed by GLM Mixed Design. Table 10 reports time*group F = 4.524, sig 0.037, Partial Eta Squared 0.059, indicating the pretest-posttest score changes differed significantly between groups.

"Based on Table 10 the sig score of <0.05 indicates that there is an interaction between time (pretest -posttest) and group (experiment -control)."

Mitra Yadiannur and Supahar 2017 (2)¶

Mitra Yadiannur and Supahar. (2017). Mobile Learning based Worked Example in Electric Circuit (WEIEC) Application to Improve the High School Students' Electric Circuits Interpretation Ability. International Journal of Environmental & Science Education, 12(3), 539-558. https://eric.ed.gov/?id=EJ1141565

q2 · i? · causal · r2

Pairwise comparisons from the GLM mixed design on the same 74-student main field test. Both groups improved significantly, with the experimental group's mean difference of -28.811 exceeding the control group's -24.649; descriptive means were 47.56 to 76.37 (experiment) and 45.35 to 70.00 (control).

"the obtained sig score of <0.05, indicating that the pretest-posttest score change in the experimental group was significant (MD = -28.811, p <0.05), as in the control group (MD = -24.649, p <0.05)."

Mitra Yadiannur and Supahar 2017 (3)¶

Mitra Yadiannur and Supahar. (2017). Mobile Learning based Worked Example in Electric Circuit (WEIEC) Application to Improve the High School Students' Electric Circuits Interpretation Ability. International Journal of Environmental & Science Education, 12(3), 539-558. https://eric.ed.gov/?id=EJ1141565

q2 · i3 · causal · r1

Multivariate Tests output (Wilks' Lambda 0.142, F = 433.577, sig 0.000) from the main field testing. The article reports Partial Eta Squared of 0.858, which it interprets as an 85.8% effective contribution of the WEIEC application to improving interpretation ability.

"Table 12 shows that the amount of effective contribution given by the mobile learning based WEIEC application to improve the electric circuit interpretation ability is 0.858 or 85.8%."

Discussion¶

Related Claims¶

• The electric circuit interpretation test is suitable for students with lower to moderate ability levels (-2.7 ≤ θ ≤ 1.8) — related
• Expert and student judgements rate the WEIEC application feasible, with Aiken's V of 0.80 from experts and 0.81 from students — related
• The three groups were equivalent on EPT pre-test scores before the intervention — related