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Andrea Marquardt Donovan

Biographic Data

ID6773859
NAMEAndrea Marquardt Donovan
GIVEN NAMESAndrea Marquardt
FAMILY NAMEDonovan
SIGNATUREDONOVAN A M
AFFILIATIONSUniversity of Wisconsin–Madison
ORCID0000-0002-6418-3171
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2024
H-INDEX0
  • The Role of Visual Representations in Undergraduate Students’ Learning about Genetic Inheritance

    Open Access•David Menendez, Andrea Marquardt Donovan et al.•ARTICLE•Education Sciences•2024

    Prior work has shown that many undergraduate students have misconceptions about genetic inheritance, even after they take genetics courses. Visual representations, such as pedigree diagrams, are commonly used in genetics instruction, and they help students quickly visualize the phenotypes of multiple generations. In Study 1, we examined whether presenting a pedigree diagram of a wolf’s eye color in a rich and realistic manner (i.e., with rich per…

  • Deterministic or probabilistic

    Open Access•David Menendez, Andrea Marquardt Donovan et al.•ARTICLE•Child Development•2024

    Do children think of genetic inheritance as deterministic or probabilistic? In two novel tasks, children viewed the eye colors of animal parents and judged and selected possible phenotypes of offspring. Across three studies (N = 353, 162 girls, 172 boys, 2 non-binary; 17 did not report gender) with predominantly White U.S. participants collected in 2019–2021, 4- to 12-year-old children showed a probabilistic understanding of genetic inheritance, …

  • Weakest link or strongest link

    Open Access•Andrea Marquardt Donovan, Sarah A Brown et al.•ARTICLE•Gesture•2023•References: 1

    Teachers often use gestures to connect representations of mathematical ideas. This research examined (1) whether such linking gestures help students understand connections among representations and (2) whether sets of gestures that include repeated handshapes and motions – termed gestural catchments – are particularly beneficial. Undergraduates viewed one of four video lessons connecting two representations of multiplication. In the control lesso…

No prominent works on this page.

  • Weakest link or strongest link

    Open Access•Andrea Marquardt Donovan, Sarah A Brown et al.•ARTICLE•Gesture•2023•References: 1

    Teachers often use gestures to connect representations of mathematical ideas. This research examined (1) whether such linking gestures help students understand connections among representations and (2) whether sets of gestures that include repeated handshapes and motions – termed gestural catchments – are particularly beneficial. Undergraduates viewed one of four video lessons connecting two representations of multiplication. In the control lesso…

  • The Role of Visual Representations in Undergraduate Students’ Learning about Genetic Inheritance

    Open Access•David Menendez, Andrea Marquardt Donovan et al.•ARTICLE•Education Sciences•2024

    Prior work has shown that many undergraduate students have misconceptions about genetic inheritance, even after they take genetics courses. Visual representations, such as pedigree diagrams, are commonly used in genetics instruction, and they help students quickly visualize the phenotypes of multiple generations. In Study 1, we examined whether presenting a pedigree diagram of a wolf’s eye color in a rich and realistic manner (i.e., with rich per…

  • Deterministic or probabilistic

    Open Access•David Menendez, Andrea Marquardt Donovan et al.•ARTICLE•Child Development•2024

    Do children think of genetic inheritance as deterministic or probabilistic? In two novel tasks, children viewed the eye colors of animal parents and judged and selected possible phenotypes of offspring. Across three studies (N = 353, 162 girls, 172 boys, 2 non-binary; 17 did not report gender) with predominantly White U.S. participants collected in 2019–2021, 4- to 12-year-old children showed a probabilistic understanding of genetic inheritance, …

Psychology (3 works) · Animal and Plant Science Education (2 works) · Biology (2 works) · Computer Science (2 works) · Genetics (2 works) · Visual and Cognitive Learning Processes (2 works) · Animal Behavior and Reproduction (1 work) · Artificial Intelligence (1 work) · Cognitive and developmental aspects of mathematical skills (1 work) · Communication (1 work)

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