DocumentCode :
143748
Title :
Lessons learned from development of a software tool to support academic advising
Author :
Mattei, Nicholas ; Dodson, Thomas ; Guerin, Joshua T. ; Goldsmith, Judy ; Mazur, Joan M.
Author_Institution :
Neville Roach Lab., Univ. of New South Wales, Kensington, NSW, Australia
fYear :
2014
fDate :
3-5 April 2014
Firstpage :
1
Lastpage :
8
Abstract :
We detail some lessons learned while designing and testing a decision-theoretic advising support tool for undergraduates at a large state university. Between 2009 and 2011 we conducted two surveys of over 500 students in multiple majors and colleges. These surveys asked students detailed questions about their preferences concerning course selection, advising, and career paths. We present data from this study which may be helpful for faculty and staff who advise undergraduate students. We find that advising support software tools can augment the student-advisor relationship, particularly in terms of course planning, but cannot and should not replace in-person advising.
Keywords :
computer science education; educational administrative data processing; educational courses; educational institutions; educational technology; engineering education; academic advising support tool; career paths; course planning; course selection; decision-theoretic advising support tool; software tool development; state university undergraduates; student preference; student-advisor relationship; Algorithm design and analysis; Computer science; Computers; Educational institutions; Engineering profession; Software algorithms; Computer science education; Educational technology; Engineering education;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Society for Engineering Education (ASEE Zone 1), 2014 Zone 1 Conference of the
Conference_Location :
Bridgeport, CT
Print_ISBN :
978-1-4799-5232-8
Type :
conf
DOI :
10.1109/ASEEZone1.2014.6820659
Filename :
6820659
Link To Document :
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