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Week 3: Prior Work
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Mid-Class Field Trip October 10: Department of Education Brownbag Presentation by Rebecca Black, Assistant Professor, UC Irvine Department of Education: "Literacy and Learning in Virtual Worlds for Young Children." 12:00-1:00 pm, Education 2024. Open to the Public. – (Prof. Black will be a visitor to our class in a few weeks, and her talk will be based on an Informatics-relevant research methodology.)
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Prior Work Finding Evaluating Reading More finding
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Finding It takes information to find information. What are the right sources? What are the right keywords?
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On Wikipedia Surprisingly effective starting place for topics you don’t know anything about.
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Finding Related Work: Past, Present and Future Past: Scarcity (gathering problem) Present: Abundance (filtering problem) Future: ???
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Cross-Disciplinary Related Work A lot of ideas have been explored. Sometimes same ideas with different terminology. Reasonable to make some effort to find these other works. Unreasonable to learn everything about every field.
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Evaluating Is this paper worth reading? Is this paper worth citing?
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Titles and Abstracts Make the search problem easier.
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Especially Hard in a Cross-Disciplinary Search
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Reputability of Sources
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Number of Citations Does that automatically make it good?
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Who Wrote It? What can you learn about a paper from its authors?
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Changing Value of Different Venues Harvard Law Review vs. SSRN
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The Value of New Media Blogs? Wikipedia?
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Reading
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Summarize at the Time? Good for remembering. Easier than summarizing later. Don’t know what paper you’ll be citing it in, so it’s not perfect.
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Two papers next week that go into greater depth.
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More Finding Once you’ve read something, it may point you to other papers to read. Reference list Hyperlinks
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Demo ACM DL
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Demo Google Scholar
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Demo Zotero Also Papers and Mendeley
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Break Walk to Education Department
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Going over your future CVs
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Bio Swap CVs and write a 100 word bio of your neighbor in the future.
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Assignment for Next Week 5 Hypothetical Abstracts – Similar to the Significance statement in one – Present default structure of abstract 1) General problem domain 2) Specific problem 3) Approach we're taking 4) Evaluation (how do we know it worked?) 5) Broader impacts (how will it change the world?)
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Titles Key words? Key question? Key result?
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Go Over Some Specific Abstracts
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Readings
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