Claims

Waypoint hints show lower justification and adoption rates than Next-Step hints

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2021 · 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? The Next-Step group justified a significantly higher percentage of hints, and Waypoint hints had a significantly lower Adoption Rate. → Christa Cody 2021

Evidence

Christa Cody 2021

Christa Cody, Mehak Maniktala, Nicholas Lytle, Min Chi, Tiffany Barnes. (2021). The Impact of Looking Further Ahead: A Comparison of Two Data-driven Unsolicited Hint Types on Performance in an Intelligent Data-driven Logic Tutor. https://arxiv.org/abs/2102.05741

q3 · i? · causal · r2

Hint metrics during training for 114 students showed Next-Step hints justified at 89%(7) versus Waypoints at 84%(12), and adopted at 83%(10) versus 74%(17). This provides evidence supporting H3 that Waypoint hints are harder to derive.

"The Next-Step group justified a significantly ( F (2, 111) = 12 .96, p < 0.01) higher percentage of hints, as shown by the Justification Rate. Additionally, of the justified hints, we also saw a significantly ( F (2, 111) = 5 .49, p = 0 .01) lower Adoption Rate of the WP hints in students’ final proofs"

Discussion

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