Students' frequently-used strategies changed from the acceleration unit to the diffusion unit, showing strategy evolution across model-building tasks¶

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Analyses of students' activity sequences show changes in frequently-used strategies as students moved from the acceleration unit to the diffusion unit. → Ningyu Zhang 2022

Evidence¶

Ningyu Zhang 2022¶

Ningyu Zhang, Gautam Biswas, Nicole Hutchins. (2022). Measuring and Analyzing Students' Strategic Learning Behaviors in Open-Ended Learning Environments. International Journal of Artificial Intelligence in Education, 32, 931–970. https://doi.org/10.1007/s40593-021-00275-x

q2 · i? · associational · r1

Results-section statement that sequence-mining analyses of logged actions from the classroom study (N = 52) show changes in frequently-used strategies between units. The supplied text truncates before the detailed diffusion-unit results, so no specific pattern statistics are reported here.

"The analyses conducted in “Students’ Strategy Use in the Diffusion Unit” provide evidence for RQ 2 by showing the changes in students’ frequently-used strategies from the acceleration to the Diffusion unit in CTSiM."

Discussion¶

Related Claims¶

• Sixth-grade students using CTSiM showed significant pre-to-post gains on acceleration, diffusion, and CT tests, with moderate effect sizes for acceleration (0.43) and CT (0.57) and a large effect size for diffusion (0.9) — related
• External empirical evidence can refute a computational model of particle interactions when the model's own simulation cannot — related