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Instructor-Centered Design of Tools to Support Teaching Programming and Data Science at Scale- [electronic resource]
内容资讯
Instructor-Centered Design of Tools to Support Teaching Programming and Data Science at Scale- [electronic resource]
자료유형  
 학위논문
Control Number  
0016932495
International Standard Book Number  
9798380081856
Dewey Decimal Classification Number  
004
Main Entry-Personal Name  
Lau, Samuel Ethan.
Publication, Distribution, etc. (Imprint  
[S.l.] : University of California, San Diego., 2023
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2023
Physical Description  
1 online resource(163 p.)
General Note  
Source: Dissertations Abstracts International, Volume: 85-02, Section: B.
General Note  
Advisor: Guo, Philip J.
Dissertation Note  
Thesis (Ph.D.)--University of California, San Diego, 2023.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Summary, Etc.  
요약Instructors of technical subjects like programming and data science use a wide array of software tools that enable them to create sophisticated and engaging lessons at scale. Although there are many such tools available, instructors often find themselves repurposing software originally designed for other people, like professional software engineers. This mismatch of intent adds extra logistical complexity to the already-challenging task of designing and delivering effective learning content.To address these issues, this dissertation takes an instructor-centered approach. It surfaces previously unmet needs through studies of instructors, their goals, and their software tools. The key findings are that instructors constantly seek to update their learning materials, yet encounter heavy logistical challenges in doing so because the tools they use to help design their lessons were not intended for instructional use.This dissertation also contributes novel interactive systems that directly support teaching by designing for instructor needs. In particular, this dissertation contributes program visualization tools that enable instructors to show how code transforms data: TweakIt helps learners work with unfamiliar code snippets, and the Pandas/Tidy Data/SQL Tutors automatically visualize code that manipulates data tables step-by-step. Together, this dissertation provides the first evidence that the insights gathered from an instructor-centered approach can lead to tools that better support the work of instruction.
Subject Added Entry-Topical Term  
Computer science.
Subject Added Entry-Topical Term  
Computer engineering.
Index Term-Uncontrolled  
Course infrastructure
Index Term-Uncontrolled  
Human computer interaction
Index Term-Uncontrolled  
Instructor-centered
Index Term-Uncontrolled  
Program visualization
Index Term-Uncontrolled  
Programming education
Index Term-Uncontrolled  
User interfaces
Index Term-Uncontrolled  
Software tools
Added Entry-Corporate Name  
University of California, San Diego Cognitive Science
Host Item Entry  
Dissertations Abstracts International. 85-02B.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
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Control Number  
joongbu:642971
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