Functional Data Science for Secondary-School Students.
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| Title: | Functional Data Science for Secondary-School Students. |
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| Authors: | BIBERSTEIN, Paul1 paulbib@seas.upenn.edu, CASTLEMAN, Thomas2 thomas_castleman@alumni.brown.edu, Luming CHEN3 luming_jason_chen@alumni.brown.edu, KRISHNAMURTHI, Shriram4 shriram@brown.edu |
| Source: | Informatics in Education. Dec2024, Vol. 23 Issue 4, p723-734. 12p. |
| Subject Terms: | *Science students, *Secondary schools, Functional programming (Computer science), Data science, Secondary analysis |
| Abstract: | CODAP is a widely-used programming environment for secondary school data science. Its direct-manipulation-based design offers many advantages to learners, especially younger students. Unfortunately, these same advantages can become a liability when it comes to repeating operations consistently, replaying operations (for reproducibility), and also for learning abstraction. In response, we have extended CODAP with CODAP Transformers, which add a notion of functions to CODAP. These provide a gentle introduction to reuse and abstraction in the data science context. We present a critique of CODAP that justifies our extension, describe the extension, and showcase some novel operations. Our extension has been integrated into the CODAP codebase, and is now part of the standard CODAP tool. It is already in use by the Bootstrap curriculum. [ABSTRACT FROM AUTHOR] |
| Copyright of Informatics in Education is the property of Informatics in Education and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 182042837 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Functional Data Science for Secondary-School Students. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22BIBERSTEIN%2C+Paul%22">BIBERSTEIN, Paul</searchLink><relatesTo>1</relatesTo><i> paulbib@seas.upenn.edu</i><br /><searchLink fieldCode="AR" term="%22CASTLEMAN%2C+Thomas%22">CASTLEMAN, Thomas</searchLink><relatesTo>2</relatesTo><i> thomas_castleman@alumni.brown.edu</i><br /><searchLink fieldCode="AR" term="%22Luming+CHEN%22">Luming CHEN</searchLink><relatesTo>3</relatesTo><i> luming_jason_chen@alumni.brown.edu</i><br /><searchLink fieldCode="AR" term="%22KRISHNAMURTHI%2C+Shriram%22">KRISHNAMURTHI, Shriram</searchLink><relatesTo>4</relatesTo><i> shriram@brown.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Informatics+in+Education%22">Informatics in Education</searchLink>. Dec2024, Vol. 23 Issue 4, p723-734. 12p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Science+students%22">Science students</searchLink><br />*<searchLink fieldCode="DE" term="%22Secondary+schools%22">Secondary schools</searchLink><br /><searchLink fieldCode="DE" term="%22Functional+programming+%28Computer+science%29%22">Functional programming (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Data+science%22">Data science</searchLink><br /><searchLink fieldCode="DE" term="%22Secondary+analysis%22">Secondary analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: CODAP is a widely-used programming environment for secondary school data science. Its direct-manipulation-based design offers many advantages to learners, especially younger students. Unfortunately, these same advantages can become a liability when it comes to repeating operations consistently, replaying operations (for reproducibility), and also for learning abstraction. In response, we have extended CODAP with CODAP Transformers, which add a notion of functions to CODAP. These provide a gentle introduction to reuse and abstraction in the data science context. We present a critique of CODAP that justifies our extension, describe the extension, and showcase some novel operations. Our extension has been integrated into the CODAP codebase, and is now part of the standard CODAP tool. It is already in use by the Bootstrap curriculum. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Informatics in Education is the property of Informatics in Education and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=182042837 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.15388/infedu.2024.24 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 723 Subjects: – SubjectFull: Science students Type: general – SubjectFull: Secondary schools Type: general – SubjectFull: Functional programming (Computer science) Type: general – SubjectFull: Data science Type: general – SubjectFull: Secondary analysis Type: general Titles: – TitleFull: Functional Data Science for Secondary-School Students. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: BIBERSTEIN, Paul – PersonEntity: Name: NameFull: CASTLEMAN, Thomas – PersonEntity: Name: NameFull: Luming CHEN – PersonEntity: Name: NameFull: KRISHNAMURTHI, Shriram IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 16485831 Numbering: – Type: volume Value: 23 – Type: issue Value: 4 Titles: – TitleFull: Informatics in Education Type: main |
| ResultId | 1 |
