Could probability be out of proportion? Self-explanation and example-based practice help students with lower proportional reasoning skills learn probability
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作者:
Begolli, Kreshnik Nasi
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Univ Calif Irvine, Sch Educ 3200, Irvine, CA 92697 USAUniv Calif Irvine, Sch Educ 3200, Irvine, CA 92697 USA
Begolli, Kreshnik Nasi
[1
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Dai, Ting
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Univ Illinois, 1040 W Harrison St,M-C 147, Chicago, IL 60607 USAUniv Calif Irvine, Sch Educ 3200, Irvine, CA 92697 USA
Dai, Ting
[2
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McGinn, Kelly M.
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Temple Univ, 1301 Cecil B Moore Ave, Philadelphia, PA 19122 USAUniv Calif Irvine, Sch Educ 3200, Irvine, CA 92697 USA
McGinn, Kelly M.
[3
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Booth, Julie L.
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Temple Univ, 1301 Cecil B Moore Ave, Philadelphia, PA 19122 USAUniv Calif Irvine, Sch Educ 3200, Irvine, CA 92697 USA
Booth, Julie L.
[3
]
机构:
[1] Univ Calif Irvine, Sch Educ 3200, Irvine, CA 92697 USA
[2] Univ Illinois, 1040 W Harrison St,M-C 147, Chicago, IL 60607 USA
[3] Temple Univ, 1301 Cecil B Moore Ave, Philadelphia, PA 19122 USA
Proportional reasoning failures seem to constitute most errors in probabilistic reasoning, yet there is little empirical evidence about its role for attaining probabilistic knowledge and how to effectively intervene with students who have less proportional reasoning skills. We examined the contributions of students' proportional reasoning skill and example-based practice when learning about probabilities from a reformed seventh grade curriculum. Teachers in their regular classrooms were randomly assigned to instruct with a reformed textbook (control) or a version revised to incorporate correct and incorrect example problems with prompts to explain (treatment). Students' prior knowledge in proportional reasoning skill separately predicted probabilistic knowledge at posttest, regardless of their prior knowledge in probability or minority status. Overall, students in the treatment condition improved more in their probabilistic knowledge, if they started with less proportional reasoning skills. Our findings suggest that example-based practice is beneficial for students with less prior knowledge of proportions, likely a key concept for developing probabilistic knowledge.