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This research explores the information-seeking behavior of business and engineering students in tertiary environments. Through an online survey, we analyzed how each group utilizes various sources for academic tasks, including web resources and academic libraries. Key findings indicate notable differences in their primary and secondary information sources, familiarity with library services, and methods of formulating search queries. The study aims to identify common patterns and variations based on subject specialization, contributing to the understanding of academic information behaviors.
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Information Seeking Behaviour: A Comparison Between Business and Engineering Students in Tertiary EnvironmentsHula Kahlal – S3236327Supervisor: Dr. Mary Carroll
Topic Selection: • Information available on the web • Debates about Information Seeking Behaviour • Investigate the presence of the academic library
Methodology: • Online survey using SurveyMonkey.com • Target: Business and Engineering students • Desired no. Of respondents = 40 • Actual no. Of respondents = 42 • Desired time limit to respond = 7-10 days • Actual time taken = 3-4 weeks
Challenges faced: • Software’s useful features need to be paid for • Survey errors discovered • Collecting responses • A variety of information available on the web • Some participants found the survey a little confusing
Research Findings: • Age of Participants:
Research Findings: Methods used to search for information for a university task • Business students • Primary source Google and other search engines • Secondary source Databases & library e-materials • Last option Library hard copy resources • Engineering students • Primary source Materials given by academics • Secondary source Google and other search engines • Last option Library hard copy resources
Research Findings: The use of Google and other search engines • Business students • Students always formulate key words using the question given • Students often scan through the information found to decide its relevance • Sometimes, some students copy the information found into their paper; others, rarely or never do so.
Research Findings: The use of Google and other search engines • Engineering students • Students always develop more keywords as they proceed with their searching process • Some students often formulate the answer in their own words, others tend to copy the information into their work • Students rarely or never narrow down their result list
Research Findings: The use of the academic library • Business students • 40% of participants were not fully familiar with the services the library offers • 40% were familiar enough with how the library materials are organised • 60% rarely or never look for materials written by a specific author • 60% sometimes ask for the help of a librarian to find relevant resources • 45% end up using library hard copy materials in their work
Research Findings: The use of the academic library • Engineering students • 42% of participating students are sometimes familiar with the services the library offers • 38% are sometimes familiar with how the materials are organised in the library • 67% rarely or never look for materials written by a specific author • 48% rarely or never ask for the help of a librarian to find relevant information • 38% often go to the library, hoping for the best • 48% sometimes end up using library materials in their work
Research Findings: Feelings associated with ISP • Business students
Research Findings: Feelings associated with ISP • Engineering students:
Conclusions: • Aim: to reveal any common patterns between Business and Engineering students Does subject specialisation affect the way students search for information? • Research findings supported the current literature • Common patterns were evident
References: • Barnes K, Ferries S & Marateo R 2007, ‘Teaching and Learning with the Net Generation’, Innovate journal of online education, vol. 5, no. 6, viewed 2 March 2011, http://innovateonline.info/pdf/vol3_issue4/Teaching_and_Learning_with_the_Net_Generation.pdf • Kozma, R 2003, ‘ICT AND EDUCATIONAL CHANGE’, technology innovation AND educational change a global perspective, 1st edition,International Society for Technology in Education, Oregon USA, viewed 2 March 2011, http://books.google.com.au/books?hl=en&lr=&id=7IWcRIpY3JYC&oi=fnd&pg=PA1&dq=technology+and+education&ots=jz-IW444N_&sig=q-TYETaF3_0NYCnlcEyn73fIGS4#v=onepage&q=technology%20and%20education&f=false • Kuhlthau, C.C 2010, Information Search Process, Rutgers School of Communication and Information, viewed 2 march 2011, http://comminfo.rutgers.edu/~kuhlthau/information_search_process.htm • Kuhlthau, CC, HeinstrÖm, J. & Todd, RJ 2008, ‘The 'information search process' revisited: is the model still useful?’ Information Research,vol. 13, no. 4, viewed 2 March 2011, http://InformationR.net/ir/13-4/paper355.html • Lippincott, J.K, Net Generation Students and Libraries, Educause, viewed 2 March 2011, http://www.educause.edu/Resources/EducatingtheNetGeneration/NetGenerationStudentsandLibrar/6067 • Nicholas, D, Rowlands, I, Clark, D & Williams, P 2011, ‘Google Generation II: web behaviour experiments with the BBC’, Aslib Proceedings: New Information Perspectives, vol. 66, no. 1, pp. 28-45, 2 March 2011, Emerald • Oblinger D.G & Oblinger J.L 2005, ‘Technology and the Learning Expectations of the Net Generation’, Educating the Net Generation, Educause, Washington DC, USA, viewed 2 March 2011, http://net.educause.edu/ir/library/pdf/pub7101b.pdf • Tapscott, D 2009, ‘Research methods, teams and acknowledgments’, Grown up digital, The Mc-Graw Hill companies, New York USA, viewed 2 Mach 2011, http://books.google.com.au/books?id=DWlIY1PxkyYC&printsec=frontcover&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false • Timmers, C & Glas, C 2010, ‘Developing scales for information-seeking behaviour’, Journal of Documentation, vol. 66, no. 1, pp. 46-69, viewed 2 March 2011, Emerald • Wislon, T.D 1981, ‘On user studies and information needs’, Journal of Librarianship, vol. 37, no. 1, pp. 3-15, viewed 2 March 2011, http://informationr.net/tdw/publ/papers/1981infoneeds.html • Wislon, T.D 1999, ‘Models of information searching behaviour research’, Journal of Documentation, vol. 55, no.3, pp. 249-270, viewed 2 March 2011, http://informationr.net/tdw/publ/papers/1999JDoc.html