PSBLW with open problems yields the highest posttest scores¶
Claim · All claims
Evidence · 1 study · causalr2·q3
Currency · newest study 2018 · 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? PSBLW with open problems yields the highest posttest scores. → Parwati et al. 2018
Evidence¶
Parwati et al. 2018¶
Ni Nyoman Parwati, I Gusti Putu Sudiarta, I Made Mariawan, I Wayan Widiana. (2018). LOCAL WISDOM-ORIENTED PROBLEM-SOLVING LEARNING MODEL TO IMPROVE MATHEMATICAL PROBLEM-SOLVING ABILITY. Journal of Technology and Science Education, 8(4), 310-320. https://doi.org/10.3926/jotse.401
q3 · i? · causal · r2
Scheffe post-hoc on 152 fifth-grade students; all pairwise comparisons significant at .05 level, with the largest gap between PSBLW-OP and DI-CP.
"The biggest mean difference is for the PSBLW-OP model with DI-CP (see Table 3)."
Discussion¶
Related Claims¶
- Open problems improve mathematical problem-solving ability more than closed problems — related
- PSBLW improves mathematical problem-solving ability more than direct instruction — related
- Prompted AI-supported learning raises overall post-test scores above both slide-based and unprompted AI conditions — related
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