nbgrader: A Tool for Creating and Grading Assignments in the Jupyter Notebook Article Swipe
Project Jupyter
,
Douglas Blank
,
David Bourgin
,
Alexander Brown
,
Matthias Bussonnier
,
Jonathan Frederic
,
Brian Granger
,
Thomas L. Griffiths
,
Jessica B. Hamrick
,
Kyle Kelley
,
Michael Pacer
,
Logan Page
,
Fernando Pérez
,
Benjamin Ragan-Kelley
,
Jordan W. Suchow
,
Carol Willing
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.21105/jose.00032
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.21105/jose.00032
nbgrader is a flexible tool for creating and grading assignments in the Jupyter Notebook (Kluyver et al., 2016).nbgrader allows instructors to create a single, master copy of an assignment, including tests and canonical solutions.From the master copy, a student version is generated without the solutions, thus obviating the need to maintain two separate versions.nbgrader also automatically grades submitted assignments by executing the notebooks and storing the results of the tests in a database.After auto-grading, instructors can manually grade free responses and provide partial credit using the formgrader Jupyter Notebook extension.Finally, instructors can use nbgrader to leave personalized feedback for each student's submission, including comments as well as detailed error information.
Related Topics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.21105/jose.00032
- https://jose.theoj.org/papers/10.21105/jose.00032.pdf
- OA Status
- diamond
- Cited By
- 56
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2908343980
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2908343980Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21105/jose.00032Digital Object Identifier
- Title
-
nbgrader: A Tool for Creating and Grading Assignments in the Jupyter NotebookWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
-
2019-01-06Full publication date if available
- Authors
-
Project Jupyter, Douglas Blank, David Bourgin, Alexander Brown, Matthias Bussonnier, Jonathan Frederic, Brian Granger, Thomas L. Griffiths, Jessica B. Hamrick, Kyle Kelley, Michael Pacer, Logan Page, Fernando Pérez, Benjamin Ragan-Kelley, Jordan W. Suchow, Carol WillingList of authors in order
- Landing page
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https://doi.org/10.21105/jose.00032Publisher landing page
- PDF URL
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https://jose.theoj.org/papers/10.21105/jose.00032.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://jose.theoj.org/papers/10.21105/jose.00032.pdfDirect OA link when available
- Concepts
-
Grading (engineering), Computer science, Engineering, Civil engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
56Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 6, 2023: 14, 2022: 12, 2021: 7Per-year citation counts (last 5 years)
- References (count)
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11Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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