Claims

MIT-based instruction produced a statistically significant post-test emotional-yield advantage over traditional instruction

Claim · All claims
Evidence · 1 study · causal r1 · q2
Currency · newest study 2017 · checked against its sources 2026-11-02 (automated, 1 of 1 entry) · 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? A one-way ANOVA on post-test emotional scores between the experimental and control groups gave a p-value of 0.00, with the experimental group more favourable. → 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

One-way ANOVA comparing post-test emotional scores of the experimental group (87 subjects) and control group (73 subjects), reported in section 3.3. The article reports a statistically significant difference favouring the experimental group; Table 1 means are 63.28 (experimental) versus 54.74 (control).

"ANOVA test also gives us the statistical data of a p-value of 0.00 for emotional performance and 0.34 for content acquisition (cognitive yield)."

Discussion

Learner Variables

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