Výsledky vyhledávání - "Megan Selbach-Allen"

Akademický článek

Studying the Opportunities Provided by an Applied High School Mathematics Course: Explorations in Data Science

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

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Akademický článek

The Transformative Impact of a Mathematical Mindset Experience Taught at Scale

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

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Akademický článek

Infusing Mindset through Mathematical Problem Solving and Collaboration: Studying the Impact of a Short College Intervention

Autor: Jo Boaler, Kyalamboka Brown, Tanya LaMar, Miriam Leshin, Megan Selbach-Allen

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

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