Evidence Summary
Engineering
Students and Professionals Report Different Levels of Information Literacy
Needs and Challenges
A Review of:
Phillips, M., Fosmire, M., Turner, L., Petersheim,
K., & Lu, J. (2019). Comparing the information needs and experiences of
undergraduate students and practicing engineers. The Journal of Academic
Librarianship, 45(1), 39-49. https://doi.org/10.1016/j.acalib.2018.12.004
Reviewed by:
Kimberly
MacKenzie
Research
Data and Scholarly Communications Librarian
University
of Massachusetts Medical School
Worcester,
Massachusetts, United States of America
Email:
[email protected]
Received: 16 Sept. 2019 Accepted: 17 Jan. 2020
2020 MacKenzie.
This is an Open Access article distributed under the terms of the Creative
Commons‐Attribution‐Noncommercial‐Share Alike License 4.0
International (http://creativecommons.org/licenses/by-nc-sa/4.0/),
which permits unrestricted use, distribution, and reproduction in any medium,
provided the original work is properly attributed, not used for commercial
purposes, and, if transformed, the resulting work is redistributed under the
same or similar license to this one.
DOI: 10.18438/eblip29654
Abstract
Objective – To compare the levels of information literacy, needs,
and challenges of undergraduate engineering students with those of practising
engineers.
Design –
Electronic survey.
Setting – Large land grant university in the Midwestern United
States and multiple locations of a global construction machinery manufacturing
company (locations in Asia Pacific, Europe, North America).
Subjects – Engineering undergraduates and full-time engineers.
Methods – Two voluntary online surveys distributed to (a) students
in two undergraduate engineering technology classes and one mechanical
engineering class; and (b) to engineers in an online newsletter. None of the
questions on the survey were mandatory. Because the call for practising
engineers generated a low response rate, direct invitations were sent in
batches of 100 to randomly selected engineers from a list provided by the human
resources department
of the company participating in the study. The surveys were similar but not
identical and included multiple choice, Likert scale, and short answer
questions. Data analysis included two-sided unpaired sample t-tests
(quantitative data) and deductive and inductive content analysis (qualitative
data).
Main
Results – There were 63 students and 134 professional engineers
among the respondents. Survey response rates were relatively low (24.3% for
students; approximately 4.5% for employees). Students rated themselves higher
overall and significantly higher than did engineers on the questions “know
where to look for information” (students M = 5.3; engineers M =
4.2) and “identifying the most needed information” (students M = 5.5;
engineers M = 4.8) (mean values reported on a 7-point scale). Neither
group rated themselves highly on “reflecting on how to improve their
performance next time” or “having a highly effective structure for organizing
information,” though engineers in North America rated themselves significantly
higher than those in Asia Pacific on organizing information, knowing where to
look for information, and using information to make decisions.
Both students and engineers reported often using Google to find
information. The library was mentioned by one-half of engineers and one-third
of students. Engineers reported consulting with peers for information and
making more use of propriety information from within their companies, while
students reported using YouTube videos and online forums, as well as news and
social media. More than half of students (57%) reported having enough access to
information resources, while 67% of engineers felt that they lacked sufficient
access. The most common frustration for both groups was locating the
information (45% of student responses; 71% of engineer responses). Students
reported more frustration with evaluating information (17%) compared to
engineers (9%).
Conclusion – Engineering students and professional engineers report
differences in their levels of confidence in finding information and
differences in the complexity of the information landscape. Engineering
librarians at the university level can incorporate this knowledge into
information literacy courses to help prepare undergraduates for industry.
Corporate librarians can use this information to improve methods to support the
needs of engineers at all levels of employment.
Commentary
Information literacy education for undergraduate engineering
students does not necessarily prepare them with the information gathering
skills they will need as professional engineers because the academic
environment differs from the corporate environment, particularly in terms of
complexity and faster pace (Leiss & Ludwig,
2018). While academic librarians may have limited opportunities to educate
engineering students in information literacy, recent research, including this
study, suggests that time may be best spent focusing on literacy skills that
will be needed in their post-university careers, such as accessing and
evaluating a variety of information (i.e., grey literature and standards). This
survey adds to the growing body of literature on this topic by analyzing
information literacy skills in order to understand how students could be better
prepared for professional challenges as well as to improve information and
resource access at the professional level.
Boynton and Greenhalgh’s (2004) critical survey appraisal tool was consulted for this review. The surveys used in this
study included variations on questions from the Self-Directed Information
Literacy Scale (Fosmire, Douglas, Van Epps, Purzer, & Fernandez, 2018). Respondents in the reviewed
study were similarly asked to consider their responses in relation to a recent
engineering project they had undertaken. Based on the Boynton and Greenhalgh
(2004) criteria, the Likert scale questions were appropriately phrased
(Phillips, Fosmire, Petersheim,
& Turner, 2016). However, there were some differences between the two
surveys that makes direct comparison for certain questions difficult. For
example, both surveys included the question, “How did you go about acquiring
the information, skills, or abilities you needed to complete the project?” but
the choices for answers were different for the two groups studied. Only
students were given a multiple choice answer including
YouTube/videos and online forums, while engineers would have had to comment on
them in short answers.
One potential limitation of the study, in addition to low response
rates, is the ability of results to be generalized. The sampling method
included student respondents attending one university and engineers employed by
one corporation, albeit in various locations. Additional demographic details
might be included in future studies; here, while years of employment for
engineers was reported, the age of the employee, or years since finishing
university, were not. Therefore, it is difficult to judge whether changes over
time in technology and online information gathering were a source of challenge
or frustration. For students, 97% were male. It is not clear whether these
students had prior information literacy training.
Students tended overall to rate themselves higher than
professional engineers on most questions, but they could be overestimating
their abilities, as noted by the authors (p. 46). However, there is no direct
measure of their abilities or the success of the projects they were reporting
on, therefore it is unclear whether their estimations were justified.
Bandyopadhyay (2013) found a similar overestimation of abilities in
undergraduate biology students, but also included a measure of actual skill
level (which was lower than perceived skill level).
Nevertheless, these results can be useful for any engineering
librarian. At the university level, these results can help librarians consider
ways to improve information literacy curricula, particularly the complexity of
information needs undergraduates may experience as practising engineers. It is
clear from the differences in survey responses that undergraduates may not have
a clear understanding of the types of resources a professional engineer may
need, such as internal documentation. Corporate engineering librarians can use
these survey results when designing programs for new employees, as well as an
impetus for increasing the number of tutorials and help aids in order to help
users locate the information they need. Despite the shortcomings mentioned
above, the survey itself could be a useful tool for librarians wishing to
design a similar study to determine the needs of their users. However,
particularly when surveying undergraduates, a measure of actual skill level in
conjunction with self-perceptions may be more useful than the survey alone.
These results have meaning beyond engineering librarians, and similar surveys
could be used regardless of the nature of the corporate library or academic
specialty.
References
Bandyopadhyay,
A. (2013). Measuring the disparities between biology undergraduates’
perceptions and their actual knowledge of scientific literature with clickers. Journal of Academic Librarianship, 39(2), 194–201. https://doi.org/10.1016/j.acalib.2012.10.006
Boynton,
P. M., & Greenhalgh, T. (2004). Hands-on guide to questionnaire research:
Selecting, designing, and developing your questionnaire. BMJ, 328(7451),
1312-1315. https://doi.org/10.1136/bmj.328.7451.1312
Fosmire, M., Douglas, K. A., Van
Epps, A. S., Purzer, S., & Fernandez, T. M.
(2018). Self-directed Information
Literacy (SIL) Scale. Retrieved from Purdue
University Research Repository: https://doi.org/10.4231/R790221G
Leiss, C., & Ludwig, P.
(2018, June). Engineering graduates at work: Reality check for information
literacy. Libraries for the future:
Inspiring spaces to open science. Paper presented at the meeting of IATUL,
Oslo, Norway. Retrieved from https://docs.lib.purdue.edu/iatul/2018/infolit/3/
Phillips,
M., Fosmire, M., Petersheim,
K., & Turner, L. (2016). Survey protocols to investigate the information
habits and needs of engineering and engineering technology students and
practicing engineers. Libraries Faculty and Staff Creative Materials,
Paper 17. Retrieved from https://docs.lib.purdue.edu/lib_fscm/17/