|
ABSTRACT
The paper presents the results of a case study of searcher's relevance criteria used for assessments of Web pages in a perspective of learning style. 15 test persons participated in the experiments based on two simulated work tasks that provided cover stories to trigger their information needs. Two learning styles were examined: Global and Sequential learners. The study applied eye-tracking for the observation of relevance hot spots on Web pages, learning style index analysis and post-search interviews to gain more in-depth information on relevance behavior. Findings reveal that with respect to use of graded relevance scores and number of relevance criteria applied per task and test person there are no significant difference between the different styles. Although there differences are detected in the use of relevance criteria between Global and Sequential learners during assessments, they are statistically insignificant. When interviewed in retrospective the resulting profiles tend to become even similar across learning styles but a shift occurs from instant assessments with content features of web pages replacing topicality judgments as predominant relevance criteria.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
|
| |
2
|
|
| |
3
|
Borlund, P. 2000. Experimental components for the evaluation of interactive information retrieval systems. J. of Doc., 56 (1), 71--90
|
| |
4
|
|
| |
5
|
Borlund, P. 2003b. The IIR evaluation model: A framework for evaluation of interactive information retrieval systems. Inf. Research, 8(3), paper no. 152. Available: http://informationr.net/ir/8-3/paper152.html.
|
| |
6
|
Borlund, P. & Ingwersen, P. 1997. The development of a method for the evaluation of interactive information retrieval systems. J. of Doc., (53)3, 225--250.
|
| |
7
|
|
| |
8
|
|
| |
9
|
Ellis, D., Ford, N., & Wood, F. 1992. Hypertext and learning styles. Final Report of a project funded by the Learning technology Unit. Sheffield: Employment Department.
|
| |
10
|
Ewing, K. 2005. White paper: studying web pages using eye tracking. Tobii Technology, August 2005, p15.
|
| |
11
|
Felder, R. M. & Spurlin, J. 2005. Applications, reliability and validity of the Index of Learning Styles. Int. J. Eng. Edu., 21(1), 103--112.
|
| |
12
|
Ford, N., Miller, D. (1996). Gender differences in Internet perception and use. In: Electronic Lib. & Vis. Inf. Res. Papers from the third ELVIRA conference, 30 April 1996, 87--202. London: ASLIB.
|
| |
13
|
|
| |
14
|
|
| |
15
|
Ghinea, G. & Chen, Y. 2003. The impact of cognitive styles on perceptual distributed multimedia quality. British J. of Edu. Tech., 34 (4): p. 393--406.
|
| |
16
|
|
 |
17
|
Thorsten Joachims , Laura Granka , Bing Pan , Helene Hembrooke , Geri Gay, Accurately interpreting clickthrough data as implicit feedback, Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, August 15-19, 2005, Salvador, Brazil
[doi> 10.1145/1076034.1076063]
|
| |
18
|
Leader, L. F. & Klein, J. D. 1996. The effects of search tool type and cognitive style on performance during the hypermedia database searches. Edu. Tech. Res. & Dev., 4(1), 24--51.
|
| |
19
|
Liu, M. & Reed, W. M. 1994. The relationship between the learning strategies and learning styles in hypermedia environment. Comp. in Hum. Behav., 10(4), 419--434.
|
| |
20
|
Messick, S. 1984. The nature of cognitive styles: Problems and promise in educational practice. Edu. Psych., 19(2), 59--74.
|
| |
21
|
|
 |
22
|
Kai Puolamäki , Jarkko Salojärvi , Eerika Savia , Jaana Simola , Samuel Kaski, Combining eye movements and collaborative filtering for proactive information retrieval, Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, August 15-19, 2005, Salvador, Brazil
[doi> 10.1145/1076034.1076062]
|
| |
23
|
Rayner, S. G. 2000. Reconstructing style differences in thinking and learning: profiling learning performance. In: Int. Perspec. on Indiv. Diff. Vol. 1 Cognitive Styles, ed. by R. J. Riding & S. G. Rayner. Stamford, Connecticut: Ablex Publ. Corp., 115--177.
|
| |
24
|
Riding, R, J., Rayner, S. G. 1998. Cognitive styles and learning strategies. London: David Fulton.
|
| |
25
|
|
| |
26
|
Salojärvi, J., Kojo, I., Simola J. & Kaski, S. 2003. Can relevance be inferred from eye movements in information retrieval? In: Proc. of WSOM'03, Workshop on Self-Org. Maps: 261--266. Kyushu Institute of Technology, Kitakyushu, Japan.
|
| |
27
|
Santally, M. I. & Senteni, A. 2005. A learning object approach to personalized web-based instruction. Available: http://www.eurodl.org/materials/contrib/2005/Santally.htm
|
 |
28
|
|
| |
29
|
|
| |
30
|
Valley, K. 1997. Learning styles and courseware design. Ass. Learn. Tech. J., 5(2), 42--51.
|
 |
31
|
|
|