Both traditional and MIT-based Technology instruction produce statistically significant pre-to-post gains in emotional and knowledge scores¶
Claim · All claims
Evidence · 1 study · causalr1·q2
Currency · newest study 2017 · 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? t-Student tests comparing pre-test and post-test scores within each group gave a p-value of 0.00, indicating both kinds of intervention affected emotions and knowledge. → Sanchez-Martin et al. 2017
Evidence¶
Sanchez-Martin et al. 2017¶
Jesus Sanchez-Martin, Garcia J. Alvarez-Gragera, Maria Antonia Davila-Acedo, Vicente Mellado. (2017). TEACHING TECHNOLOGY: FROM KNOWING TO FEELING. ENHANCING EMOTIONAL AND CONTENT ACQUISITION PERFORMANCE THROUGH GARDNER'S MULTIPLE INTELLIGENCES THEORY IN TECHNOLOGY AND DESIGN LESSONS. Journal of Technology and Science Education, 7(1), 58-79. https://doi.org/10.3926/jotse.238
q2 · i? · causal · r1
Quasi-experimental pre/post comparison in each group (control and experimental) reported in section 3.2. The article reports a statistically significant pre-to-post difference for both intervention types with no effect size printed; Table 1 means show e.g. experimental emotional score rising from 58.39 to 63.28.
"The statistical significance of t-Student test was given by a p-value of 0.00, so the differences due to the educative intervention (both kinds) are evident."
Discussion¶
Related Claims¶
- MIT-based instruction produced a statistically significant post-test emotional-yield advantage over traditional instruction — related
- Post-test content acquisition favoured the MIT-based group descriptively, but the reported ANOVA p-value of 0.34 does not reach significance — related
- Both instructional conditions produced statistically significant pre-test to post-test gains in NOS and SK views, with larger effect sizes in the experimental group — related
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