Making research tools accessible for AU AI students

Zachary Dodds; Christine Alvarado; Sara Owsley Sood

Making research tools accessible for AU AI students

Zachary Dodds^*, Christine Alvarado, Sara Owsley Sood

^*Corresponding author for this work

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The AI community is constantly creating and improving sophisticated tools for visualizing, understanding, and investigating AI algorithms. Because these tools are designed by and for researchers, they do not always present a welcoming interface to students learning the discipline for the first time. This paper presents a set of short assignments that scaffold three freely available libraries of use in AI investigations. We have found that activities such as these give undergraduate students the confidence and capabilities crucial to future success with open-ended AI investigations. In addition, the self-guided tasks free classroom time from software details that are better learned in a hands-on setting.

Original language	English (US)
Title of host publication	AI Education Colloquium - Papers from the 2008 AAAI Workshop, Technical Report
Pages	28-33
Number of pages	6
Volume	WS-08-02
State	Published - Dec 1 2008
Event	2008 AAAI Workshop - Chicago, IL, United States Duration: Jul 13 2008 → Jul 13 2008

Other

Other	2008 AAAI Workshop
Country/Territory	United States
City	Chicago, IL
Period	7/13/08 → 7/13/08

ASJC Scopus subject areas

Engineering(all)

Cite this

@inproceedings{9a639e6266b74c8e96b0727d0e3e6021,

title = "Making research tools accessible for AU AI students",

abstract = "The AI community is constantly creating and improving sophisticated tools for visualizing, understanding, and investigating AI algorithms. Because these tools are designed by and for researchers, they do not always present a welcoming interface to students learning the discipline for the first time. This paper presents a set of short assignments that scaffold three freely available libraries of use in AI investigations. We have found that activities such as these give undergraduate students the confidence and capabilities crucial to future success with open-ended AI investigations. In addition, the self-guided tasks free classroom time from software details that are better learned in a hands-on setting.",

author = "Zachary Dodds and Christine Alvarado and Sood, {Sara Owsley}",

year = "2008",

month = dec,

day = "1",

language = "English (US)",

volume = "WS-08-02",

pages = "28--33",

booktitle = "AI Education Colloquium - Papers from the 2008 AAAI Workshop, Technical Report",

note = "2008 AAAI Workshop ; Conference date: 13-07-2008 Through 13-07-2008",

}

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T1 - Making research tools accessible for AU AI students

AU - Dodds, Zachary

AU - Alvarado, Christine

AU - Sood, Sara Owsley

PY - 2008/12/1

Y1 - 2008/12/1

N2 - The AI community is constantly creating and improving sophisticated tools for visualizing, understanding, and investigating AI algorithms. Because these tools are designed by and for researchers, they do not always present a welcoming interface to students learning the discipline for the first time. This paper presents a set of short assignments that scaffold three freely available libraries of use in AI investigations. We have found that activities such as these give undergraduate students the confidence and capabilities crucial to future success with open-ended AI investigations. In addition, the self-guided tasks free classroom time from software details that are better learned in a hands-on setting.

AB - The AI community is constantly creating and improving sophisticated tools for visualizing, understanding, and investigating AI algorithms. Because these tools are designed by and for researchers, they do not always present a welcoming interface to students learning the discipline for the first time. This paper presents a set of short assignments that scaffold three freely available libraries of use in AI investigations. We have found that activities such as these give undergraduate students the confidence and capabilities crucial to future success with open-ended AI investigations. In addition, the self-guided tasks free classroom time from software details that are better learned in a hands-on setting.

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UR - http://www.scopus.com/inward/citedby.url?scp=66149186874&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:66149186874

VL - WS-08-02

SP - 28

EP - 33

BT - AI Education Colloquium - Papers from the 2008 AAAI Workshop, Technical Report

T2 - 2008 AAAI Workshop

Y2 - 13 July 2008 through 13 July 2008

ER -

Making research tools accessible for AU AI students

Abstract

Other

ASJC Scopus subject areas

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