Emotional gains under MIT-based instruction varied by intelligence style, with Logical-mathematical and Spatial styles most favoured and Bodily-kinesthetic nearly unaffected¶
Claim · All claims
Evidence · 1 study (2 entries) · 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? Segmented ANOVA results were significant only for Intrapersonal (p = 0.032) and Spatial (p = 0.05) IS; Logical-mathematical gained 16.1 points and Spatial 16.34 points, while Bodily-kinesthetic gained only 0.8 points. → Sanchez-Martin et al. 2017
q2 i? Most segmented ANOVA p-values exceeded 0.05, so the authors state the statistical confirmation of the hypothesis cannot be done and only a tendency is established. → Sanchez-Martin et al. 2017 (2)
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
IS-segmented emotional ANOVA post-test analysis (Table 2) in section 3.4, with small unbalanced subgroups (e.g. Logical-mathematical n = 4 experimental, 5 control). Descriptive point gains are printed; no standardised effect size is reported.
"Every IS submitted a positive enhancement of the emotional score, being the most favored ones those subjects with Logical-mathematical (16.1 points of enhancement) and Spatial ones (16.34 points of enhancement)."
Sanchez-Martin et al. 2017 (2)¶
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
The authors' own qualification of the segmented analysis in section 3.4: subgroup sizes were very low after dividing the universe into two groups and then nine IS subgroups, so results show a tendency only.
"However, as we said before, many ANOVA p-values are above 0.05 as well, hence the statistical taxative affirmation of our hypothesis cannot be done."
Discussion¶
Related Claims¶
- Content-acquisition gains segmented by intelligence style reached significance only for Interpersonal and Intrapersonal IS — related
- MI-based strategy improves five intelligence types while logical-mathematical intelligence decreases, partly due to instrument bias — reports the opposite
- MIT-based instruction produced a statistically significant post-test emotional-yield advantage over traditional instruction — related
Page metadata
| Field | Value |
|---|---|
status |
review |
generated |
by process:wiki-ingest on 2026-11-01 |
trust |
unverified — no one has confirmed this page's content |
Frontmatter is the page's machine-readable record — see the Schema & Guide.