5. *E-learners may sometimes failed to
locate required information
accurately
*Novice Expert study:
*novice information searchers could
be trained to become more
experienced information searchers
*
6. *Novice Expert comparison
*10 years ago and Today
*Focus
*Source selected
*Search terms and search operators
used
*Tactics to generate search terms
*
7. *Transcription files translated from
recording of information searching sections
*Reuse raw data from previous researches
*Participants:
*Postgraduate research students (Novice)
*Professor in Information science (Expert)
*Novice & Expert search on the same topic
*Similar settings for 10 years ago and today
*
8. *70 transcription files containing over
350 information searching sections
*728 search statements from 148
searching sections
* 249 from “novice 10-years-ago
* 67 from “expert 10-years-ago”
* 247 from “novice today”
* 165 from “expert today
*
9. Think-aloud protocol (TAP) recordings of
Information Search -> Transcript files
Extract search statements
Coding: identify search terms, search
operators and tactics
Calculate: Probability, Mean, Variance
Presented in graphs and tables
*
11. 1. Variety of e-resources by novice
and expert groups
2. Novice groups use more varieties
of e-resources on the whole
3. Novice groups are more diverse in
the choice of e-resources
*
13. 1. Variety of e-resources by novice
and expert groups
2. Novice groups use more varieties
of e-resources on the whole
3. Novice groups are more diverse in
the choice of e-resources
*
16. 1. Variety of e-resources by novice
and expert groups
2. Novice groups use more varieties
of e-resources on the whole
3. Novice groups are more diverse in
the choice of e-resources
*
18. 1. Variety of e-resources by novice
and expert groups
2. Novice groups use more varieties
of e-resources on the whole
3. Novice groups are more diverse in
the choice of e-resources
*
19. 1. e-resources grouped by source
type
2. Popular: Journal Article Databases
3. Decrease in use for library
catalogue
4. Advent of Google Scholar
*
23. 1. Search Words extracted by
removing all search operators from
search statements.
2. Today: more search words are
used.
3. Expert: more diverse in number of
search words used
*
25. 1. Search Words extracted by
removing all search operators from
search statements.
2. Today: more search words are
used.
3. Expert: more diverse in number of
search words used
*
26. Average number of search
words used
6 Expert -
today, 5.52
Novice Expert
5
Novice - Expert - 10
10-
today, 4.00 years ago, 3.91
4
Mean, μ=2.99 Mean, μ=3.91
Novice - 10 years-
years ago, 2.99 SD, σ=1.43 SD, σ=2.99
3 ago
2
Mean, μ=4 Mean, μ=5.52
1
Today
SD, σ=2.15 SD, σ=3.86
0
*
27. 1. Search Words extracted by
removing all search operators from
search statements.
2. Today: more search words are
used.
3. Expert: more diverse in number of
search words used
*
29. 1. System Specific search operators
(“w/”, “n/”, “site:”)
e.g. ProQuest: Hong w/2 University
e.g. Google: “course site:hku.hk”
2. Today: use less
3. Expert: more diverse in number of
system specific search words used
*
30. Number of system specific search operators used in search statments
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
0 1 2 3 4 5 6 7 8 10
10 years ago - Expert 65.67% 11.94% 4.48% 8.96% 1.49% 1.49% 1.49% 2.99% 0.00% 1.49%
10 years ago - Novice 87.15% 5.22% 4.02% 3.21% 0.40% 0.00% 0.00% 0.00% 0.00% 0.00%
today - Expert 55.76% 13.33% 7.88% 7.27% 2.42% 3.64% 3.64% 3.03% 2.42% 0.61%
today - Novice 80.24% 9.27% 8.06% 1.21% 0.40% 0.00% 0.40% 0.40% 0.00% 0.00%
31. 1. System Specific search operators
(“w/”, “n/”, “site:”)
e.g. ProQuest: Hong w/2 University
e.g. Google: “course site:hku.hk”
2. Today: use less
3. Expert: more diverse in number of
system specific search words used
*
32. Average number of search
operators used Novice Expert
Expert -
today, 1
1.60 Expert - .47
10 years 10-
1.40 Mean, μ=0.24 Mean, μ=1.06
ago, 1.0 years-
SD, σ=0.71 SD, σ=2.02
1.20
6 ago
1.00
0.80 Novice -Novice -
0.60 10 yearstoday, 0 Mean, µ=0.36 Mean, µ=1.47
ago, 0.2 .36 Today
0.40 SD, σ=0.90 SD, σ=2.28
4
0.20
0.00
*
Total
33. 1. System Specific search operators
(“w/”, “n/”, “site:”)
e.g. ProQuest: Hong w/2 University
e.g. Google: “course site:hku.hk”
2. Today: use less
3. Expert: more diverse in number of
system specific search words used
*
35. The Framework (Hembrooke et al. 2005)
1. Elaboration
Details and sophistication intrinsic to user search
attempts
2. Backtracking
searcher reuses prior search terms over successive
trials
3. Topic Terms
searcher incorporate the topic words as their search
terms
*
36. 4. Plural Making or Taking
a user repeatedly incorporates similar nouns into their
search attempt with the slight modification of making
the word plural or singular
5. Broadening
user expands the scope of the search phrase over
successive trials
6. Refining
a subject begins broadly and narrows the search with
increasing specificity
*
37. 7. Kitchen Sink
a searcher incorporates search terms related to the
subject, but not specific to the query task
8. Poke-n-hope
user expands the scope of the search phrase over
successive trials
*
38. 1. Highly used:
Elaboration, Backtracking, Topic
Terms
2. Expert:
Elaboration, Broadening, Refining,
and Kitchen Sink
3. Novice: Backtracking, Plural
making or taking, Poke-n-hope
*
39. Expert today
Novice today
100%
120%
20%
40%
60%
80%
0%
Expert 10 years ago
Novice 10 years ago
Novice 10 years ago
Expert 10 years ago
EL -
Novice today
78.95%
57.50%
57.14%
30.19%
Expert today
Elaboration
Novice 10 years ago
Expert 10 years ago
g
BT -
Novice today
89.47%
85.00%
61.90%
69.81%
Expert today
Backtrackin
Novice 10 years ago
Expert 10 years ago
Novice today
Terms
94.74%
92.50%
90.48%
96.23%
Expert today
TT - Topic
Novice 10 years ago
Expert 10 years ago
Novice today
2.63%
7.50%
4.76%
1.89%
Taking
Making or
PM - Plural Expert today
Novice 10 years ago
Expert 10 years ago
BR -
Novice today
7.89%
5.00%
9.52%
3.77%
Expert today
Broadening
Novice 10 years ago
Expert 10 years ago
RF -
Novice today
26.32%
15.00%
19.05%
13.21%
Refining
Expert today
Novice 10 years ago
Comparsion of search tactics usage of Novice and Expert researchers
Expert 10 years ago
KS -
Sink
Novice today
9.43%
21.05%
17.50%
23.81%
Kitchen
Expert today
Novice 10 years ago
Expert 10 years ago
Novice today
2.63%
9.52%
27.50%
49.06%
n-hope
Expert today
PH - Poke-
40. 1. Highly used:
Elaboration, Backtracking, Topic
Terms
2. Expert:
Elaboration, Broadening, Refining,
and Kitchen Sink
3. Novice: Backtracking, Plural
making or taking, Poke-n-hope
*
42. *Novice groups are more diverse in the
choice of e-resources
*Novice may not know how to choose e-
resources
*Novice: less diverse in number of
search words used
*Novice may not be flexible enough to
generate search words
*
43. *Novice: less system specific search
operators used
*Novice may not be familiar with
particular e-resources
*Novice: Backtracking, Plural making or
taking, Poke-n-hope
*Make them aware of expert skills:
Elaboration, Broadening, Refining, and
Kitchen Sink
*
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*