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pro vyhledávání: '"Megan Selbach-Allen"'
Autor:
Jo Boaler, Kira Conte, Ken Cor, Jack A. Dieckmann, Tanya LaMar, Jesse Ramirez, Megan Selbach-Allen
Publikováno v:
Journal of Statistics and Data Science Education, Vol 33, Iss 1, Pp 26-45 (2025)
This article reports on a multi-method study of a high school course in data science, finding that students who take data science take more mathematics courses than those who do not, there are more under-represented students in data science than is t
Externí odkaz:
https://doaj.org/article/e521c65eac264cecb15cc45097f3af23
Autor:
Jo Boaler, Jack A. Dieckmann, Tanya LaMar, Miriam Leshin, Megan Selbach-Allen, Graciela Pérez-Núñez
Publikováno v:
Frontiers in Education, Vol 6 (2021)
A wide range of evidence points to the need for students to have a growth mindset as they approach their learning, but recent critiques of mindset have highlighted the need to change teaching approaches, to transfuse mindset ideas throughout teaching
Externí odkaz:
https://doaj.org/article/2956005ea3ab418d800fd4531069ca7a
Publikováno v:
Education Sciences, Vol 12, Iss 10, p 694 (2022)
After experiencing years of procedural teaching in K-12 mathematics classrooms, many students arrive at college with ideas about, and approaches towards, mathematics that are not helpful to their learning. Students’ prior experiences and misconcept
Externí odkaz:
https://doaj.org/article/adc8be4fecba458ba4e8c27e76190b28
Autor:
Megan Selbach-Allen
Publikováno v:
Proceedings of the 2022 AERA Annual Meeting.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d94001e9c214bc606ec45a24e1403516
https://doi.org/10.3102/1888535
https://doi.org/10.3102/1888535
Autor:
Megan Selbach-Allen
Publikováno v:
Proceedings of the 2021 AERA Annual Meeting.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::522aeef8e32dbd8460e3eeab3aef5e09
https://doi.org/10.3102/1687997
https://doi.org/10.3102/1687997