Skip to main content
Log in

Locating information within extended hypermedia

  • Research Article
  • Published:
Educational Technology Research and Development Aims and scope Submit manuscript

Abstract

New literacies researchers have identified a core set of strategies for locating information, one of which is “reading a Web page to locate information that might be present there” (Leu et al. in: Rush, Eakle, Berger (eds) Secondary school reading and writing: What research reveals for classroom practices, 2007, p. 46). Do middle-school, high school, and undergraduate students (N = 51) differ in effectiveness at locating information within extended hypermedia? Students completed a pretest measure of knowledge about the circulatory system. They then gave verbal answers to 10 researcher-developed questions about the circulatory system, which they answered by searching the environment and thinking aloud about the task. Consistent with large-scale national and international studies, students were only moderately successful at locating information. Successfully locating information was significantly associated with having more prior knowledge, efficient searching, and giving better quality answers to the researcher-posed questions. It was also associated with specific strategies only at the level of individual questions. That is, the “ideal” strategy depended on the question and how the answer was phrased in the text. Implications of the results for teaching students how to search in hypermedia are offered.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Notes

  1. Wikipedia was the 12th most-frequently accessed Web site on the entire Internet as of June 8, 2008 according to http://scripts.ranking.com/data/report_domain.aspx. Wikipedia guidelines suggest the “ideal” article is 5,000 words long (http://en.wikipedia.org/wiki/Wikipedia:Article_size).

  2. Electronic encyclopedias have largely replaced paper encyclopedias, and the electronic Encyclopedia Brittanica and Encarta were ranked #20 and #26, respectively, in educational software on Amazon.com on June 8, 2008 (this was an increase in rank from #26 to #36, respectively, on September 13, 2007). Electronic versions of encyclopedias are much less expensive than paper versions.

  3. One-half of textbooks now come bundled with supplementary materials (USPIRG 2005), many popular reference books are now available on searchable CDs (e.g., Chicago Manual of Style, see Roncevic 2006), and children’s books are increasingly being sold with an accompanying CD or DVD (Bookseller 2006).

  4. Most manufacturers have switched from paper manuals to CD-ROM/DVD hypermedia for technical documentation (Electronic Document Systems Foundation 2001).

  5. These features were identical in the DVD and Web-based versions of Encarta as of Winter, 2007. We verified this by asking a graduate student to re-create the search paths of two of the participants whose searches are described in detail in the text.

References

  • Azevedo, R., & Cromley, J. G. (2004). Does training on self-regulated learning facilitate students’ learning with hypermedia? Journal of Educational Psychology, 96(3), 523–535. doi:10.1037/0022-0663.96.3.523.

    Article  Google Scholar 

  • Azevedo, R., Cromley, J. G., & Seibert, D. (2004). Does adaptive scaffolding facilitate students’ ability to regulate their learning with hypermedia? Contemporary Educational Psychology, 29, 344–370. doi:10.1016/j.cedpsych.2003.09.002.

    Article  Google Scholar 

  • Azevedo, R., Cromley, J. G., Winters, F. I., Moos, D. C., & Green, J. A. (2005). Adaptive human scaffolding facilitates adolescents’ self-regulated learning with hypermedia. Instructional Science, 33, 381–412. doi:10.1007/s11251-005-1273-8.

    Article  Google Scholar 

  • Bilal, D., & Kirby, J. (2002). Differences and similarities in information seeking: Children and adults as web users. Information Processing & Management, 38(5), 649–670. doi:10.1016/S0306-4573(01)00057-7.

    Article  Google Scholar 

  • Bookseller. (2006). Eyewitness relaunch set for 2007. Bookseller, (5255), 10.

  • Brown, G. T. L. (2003). Searching informational texts: Text and task characteristics that affect performance. Reading Online, 7(2). Available http://www.readingonline.org/articles/art_index.asp?HREF=brown/index.html. Accessed 25 July 2007.

  • Brusilovsky, P. (2001). Adaptive hypermedia. User Modeling and User-Adapted Interaction, 11(1/2), 87–110. doi:10.1023/A:1011143116306.

    Article  Google Scholar 

  • Brusilovsky, P. (2003). Adaptive navigation support in educational hypermedia: The role of student knowledge level and the case for meta-adaptation. British Journal of Educational Technology, 34(4), 487–497. doi:10.1111/1467-8535.00345.

    Article  Google Scholar 

  • Calisir, F., Eryazici, M., & Lehto, M. R. (2008). The effects of text structure and prior knowledge of the learner on computer-based learning. Computers in Human Behavior, 24(2), 439–450. doi:10.1016/j.chb.2007.01.032.

    Article  Google Scholar 

  • Cataldo, M. G., & Cornoldi, C. (1998). Self-monitoring in poor and good reading comprehenders and their use of strategy. The British Journal of Developmental Psychology, 16, 155–165.

    Google Scholar 

  • Cataldo, M. G., & Oakhill, J. (2000). Why are poor comprehenders inefficient searchers? An investigation into the effects of text representation and spatial memory on the ability to locate information in text. Journal of Educational Psychology, 92(4), 791–799. doi:10.1037/0022-0663.92.4.791.

    Article  Google Scholar 

  • Chung, J. S., & Neuman, D. (2007). High school students’ information seeking and use for class projects. Journal of the American Society for Information Science and Technology, 58(10), 1503–1517. doi:10.1002/asi.20637.

    Article  Google Scholar 

  • Cohen, D. J., & Snowden, J. L. (2008). The relations between document familiarity, frequency, and prevalence and document literacy performance among adult readers. Reading Research Quarterly, 43(1), 9–26. doi:10.1598/RRQ.43.1.2.

    Article  Google Scholar 

  • Coiro, J., & Dobler, E. (2007). Exploring the online reading comprehension strategies used by sixth-grade skilled readers to search for and locate information on the Internet. Reading Research Quarterly, 42(2), 214–257. doi:10.1598/RRQ.42.2.2.

    Article  Google Scholar 

  • Crain-Thoreson, C., Lippman, M. Z., & McClendon-Magnuson, D. (1997). Windows on comprehension: Reading comprehension processes as revealed by two think-aloud procedures. Journal of Educational Psychology, 89(4), 579–591. doi:10.1037/0022-0663.89.4.579.

    Article  Google Scholar 

  • Desjarlais, M., & Willoughby, T. (2007). Supporting learners with low domain knowledge when using the internet. Journal of Educational Computing Research, 37(1), 1–17. doi:10.2190/K788-MK86-2342-3600.

    Article  Google Scholar 

  • Electronic Document Systems Foundation. (2001). Printing in the age of the web & beyond. Downloaded from the World Wide Web on March 31, 2005 from http://www.edsf.org/images/Overview.PDF.

  • Elley, W. B. (Ed.). (1994). The IEA study of reading-literacy: Achievement and instruction in thirty-two school systems. Oxford: Pergamon Press.

  • Ericsson, K. A., & Simon, H. A. (1993). Protocol analysis: Verbal reports as data (rev. ed.). Cambridge, MA: MIT Press.

    Google Scholar 

  • Fiorina, L., Antonietti, A., Colombo, B., & Bartolomeo, A. (2007). Thinking style, browsing primes and hypermedia navigation. Computers & Education, 49(3), 916–941. doi:10.1016/j.compedu.2005.12.005.

    Article  Google Scholar 

  • Franklin, C. (2007). Factors that influence elementary teachers’ use of computers. Journal of Technology & Teacher Education, 15(2), 267–293.

    Google Scholar 

  • Gall, J. (2006). Orienting tasks and their impact on learning and attitudes in the use of hypertext. Journal of Educational Multimedia and Hypermedia, 15(1), 5–29.

    Google Scholar 

  • Gauss, B., & Urbas, L. (2003). Individual differences in navigation between sharable content objects: An evaluation study of a learning module prototype. British Journal of Educational Technology, 34(4), 499–509. doi:10.1111/1467-8535.00346.

    Article  Google Scholar 

  • Gwizdka, J., & Spence, I. (2007). Implicit measures of lostness and success in web navigation. Interacting with Computers, 19(3), 357–369. doi:10.1016/j.intcom.2007.01.001.

    Article  Google Scholar 

  • Hegarty, M. (1991). Knowledge and processes in mechanical problem solving. In R. J. Sternberg & P. A. Frensch (Eds.), Complex problem solving: Principles and mechanisms (pp. 253–285). Hillsdale, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Hennessy, S., Ruthven, K., & Brindley, S. (2005). Teacher perspectives on integrating ICT into subject teaching: Commitment, constraints, caution, and change. Journal of Curriculum Studies, 37(2), 155–192. doi:10.1080/0022027032000276961.

    Article  Google Scholar 

  • Henry, L. A. (2006). SEARCHing for an answer: The critical role of new literacies while reading on the Internet. The Reading Teacher, 59(7), 614–627. doi:10.1598/RT.59.7.1.

    Article  Google Scholar 

  • Hitlin, P., & Rainie, L. (2005). Teens, technology, and school. Pew Internet and American Life Project. Downloaded from the World Wide Web on July 25, 2007 from http://www.pewinternet.org/pdfs/PIP_Internet_and_schools_05.pdf.

  • International Society for Technology in Education. (2007). National Educational Technology Standards for students. Downloaded from the World Wide Web on June 3, 2008 from http://www.iste.org/Content/NavigationMenu/NETS/ForStudents/2007Standards/NETS_for_Students_2007.htm.

  • Ishizuka, K. (2005). Teens are tech wizards? Not! School Library Journal, 51(4), 24–25.

    Google Scholar 

  • Jones, K. S., Farris, J. S., & Johnson, B. R. (2005). Why does the negative impact of inconsistent knowledge on web navigation persist? International Journal of Human-Computer Interaction, 19, 201–221. doi:10.1207/s15327590ijhc1902_3.

    Article  Google Scholar 

  • Judge, S., Puckett, K., & Bell, S. M. (2006). Closing the digital divide: Update from the early childhood longitudinal study. The Journal of Educational Research, 100(1), 52–60. doi:10.3200/JOER.100.1.52-60.

    Article  Google Scholar 

  • Kirsch, I. S. (2001). The framework used in developing and interpreting the international adult literacy survey (IALS). European Journal of Psychology of Education, 16(3), 335–361.

    Article  Google Scholar 

  • Kirsch, I. S., & Jungeblut, A. (1986). Literacy: Profile of America’s young adults. Princeton, NJ: Educational Testing Service.

    Google Scholar 

  • Kirsch, I. S., Jungeblut, A., Jenkins, L., & Kolstad, A. (1993). Adult literacy in America. Washington, DC: U.S. Department of Education.

    Google Scholar 

  • Kirsch, I. S., & Mosenthal, P. B. (1990). Toward an explanatory model of document literacy. Journal of Reading, 36, 322–327.

    Google Scholar 

  • Kuiper, E., Volman, M., & Terwel, J. (2005). The Web as an information resource in K-12 education: Strategies for supporting students in searching and processing information. Review of Educational Research, 75(3), 285–328. doi:10.3102/00346543075003285.

    Article  Google Scholar 

  • Kutner, M., Greenberg, E., Jin, Y., Boyle, B., Hsu, Y., Dunleavy, E., et al. (2007). Literacy in everyday life: Results from the 2003 national assessment of adult literacy. Washington, DC: National Center for Education Statistics.

    Google Scholar 

  • Lajoie, S. P., & Azevedo, R. (2006). Teaching and learning in technology-rich environments. In P. Alexander & P. Winne (Eds.), Handbook of educational psychology (2nd ed., pp. 803–822). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Lajoie, S. P., Lavigne, N. C., & Guerrera, C. (2001). Constructing knowledge in the context of BioWorld. Instructional Science, 29(2), 155–186. doi:10.1023/A:1003996000775.

    Article  Google Scholar 

  • Large, A. (2005). Children, teenagers, and the web. Annual Review of Information Technology, 39(1), 347–392. doi:10.1002/aris.1440390116.

    Article  Google Scholar 

  • Lawless, K. A., Schrader, P. G., & Mayall, H. J. (2007). Acquisition of information online: Knowledge, navigation and learning outcomes. Journal of Literacy Research, 39(3), 289–306.

    Google Scholar 

  • Lazonder, A. W. (2005). Do two heads search better that one? Effects of student collaboration on Web search behaviour and search outcomes. British Journal of Educational Technology, 36, 465–475. doi:10.1111/j.1467-8535.2005.00478.x.

    Article  Google Scholar 

  • Le Bigot, L., & Rouet, J. (2007). The impact of presentation format, task assignment, and prior knowledge on students’ comprehension of multiple online documents. Journal of Literacy Research, 39(4), 445–470. doi:10.1080/10862960701675317.

    Article  Google Scholar 

  • Lenhart, A., Arafeh, S., Smith, A., & Macgill, A. R. (2008). Writing, technology, and teens. Pew Internet and American Life Project. Downloaded from the World Wide Web on June 10, 2008 from http://www.pewinternet.org/pdfs/PIP_Writing_Report_FINAL3.pdf.

  • Leu, D. J., Zawilinksi, L., Castek, J., Banerjee, M., Housand, B., Liu, Y., et al. (2007). What is new about the new literacies of online reading comprehension? In L. Rush, J. Eakle, & L. Berger (Eds.), Secondary school reading and writing: What research reveals for classroom practices (pp. 37–69). Chicago, IL: NCTE.

    Google Scholar 

  • Müller-Kalthoff, T., & Möller, J. (2006). Browsing while reading: Effects of instructional design and learners’ prior knowledge. ALT-J Research in Learning Technology, 14(2), 183–198.

    Google Scholar 

  • Murphy, P. K., & Alexander, P. A. (2004). Persuasion as a dynamic, multidimensional process: An investigation of individual and intraindividual differences. American Educational Research Journal, 41(2), 337–363. doi:10.3102/00028312041002337.

    Article  Google Scholar 

  • Naumann, J., Richter, T., Christmann, U., & Groeben, N. (2008). Working memory capacity and reading skill moderate the effectiveness of strategy training in learning from hypertext. Learning and Individual Differences, 18(2), 197–213. doi:10.1016/j.lindif.2007.08.007.

    Article  Google Scholar 

  • OECD. (2002). Reading for change: Performance and engagement across countries, results from PISA 2000. Paris: OECD.

    Google Scholar 

  • OECD. (2004). Learning for tomorrow’s world: First results from PISA 2003. Paris: OECD.

    Google Scholar 

  • OECD. (2007). PISA 2006 science competencies for tomorrow’s world. Paris: OECD.

    Google Scholar 

  • Pak, R., Rogers, W. A., & Fisk, A. D. (2006). Spatial ability subfactors and their influences on a computer-based information search task. Human Factors, 48(1), 154–165. doi:10.1518/001872006776412180.

    Article  Google Scholar 

  • Pressley, M., & Afflerbach, P. (1995). Verbal protocols of reading: The nature of constructively responsive reading. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Puntambekar, S., Stylianou, A., & Hübscher, R. (2004). CoMPASS: Improving navigational decisions and conceptual learning in hypermedia environments by using navigable conceptual maps. Human-Computer Interaction, 18(4), 395–428. doi:10.1207/S15327051HCI1804_3.

    Article  Google Scholar 

  • Reynolds, P. L., & Symons, S. (2001). Motivational variables and children’s text search. Journal of Educational Psychology, 93(1), 14–22. doi:10.1037/0022-0663.93.1.14.

    Article  Google Scholar 

  • Roncevic, M. (2006). The Chicago manual of style gets digitized. Library Journal, 131(15), 88.

    Google Scholar 

  • Rouet, J.-F. (2003). What was I looking for? The influence of task specificity and prior knowledge on students’ search strategies in hypertext. Discourse Processes, 3(2), 163–186.

    Google Scholar 

  • Rouet, J.-F., & Coutelet, B. (2008). The acquisition of document search strategies in grade school students. Applied Cognitive Psychology, 22, 389–406. doi:10.1002/acp.1415.

    Article  Google Scholar 

  • Rouet, J.-F., Vidal-Abarca, E., Erboul, A. B., & Millogo, V. (2001). Effects of information search tasks on the comprehension of instructional text. Discourse Processes, 3(2), 163–186. doi:10.1207/S15326950DP3102_03.

    Article  Google Scholar 

  • Salmerón, L., Kintsch, W., & Cañas, J. J. (2006). Reading strategies and prior knowledge in learning from hypertext. Memory & Cognition, 34(5), 1157–1171.

    Google Scholar 

  • Schrader, P. G., Lawless, K., & Mayall, H. (2008). The model of domain learning as a framework for understanding internet navigation. Journal of Educational Multimedia and Hypermedia, 17(2), 235.

    Google Scholar 

  • Sheehan, K. M., & Mislevy, R. J. (1990). Integrating cognitive and psychometric models in a measure of document literacy. Journal of Educational Measurement, 27, 255–272. doi:10.1111/j.1745-3984.1990.tb00747.x.

    Article  Google Scholar 

  • Smerdon, B., Cronen, S., Lanahan, L., Anderson, J., Nicholas, I., & Angeles, J. (2000). Teachers’ tools for the 21st century: A report on teachers’ use of technology. Downloaded from the World Wide Web on March 20, 2005 from www.nces.gov/pubs2000/2000102.pdf.

  • Smith, M. C., Mikulecky, L., Kibby, M. W., Dreher, M. J., & Dole, J. A. (2000). What will be the demands of literacy in the workplace in the next millennium? Reading Research Quarterly, 35(3), 378–383. doi:10.1598/RRQ.35.3.3.

    Article  Google Scholar 

  • Snyder, T. D., Dillow, S. A., & Hoffman, C. M. (2007). Digest of education statistics, 2006. NCES 2007-017.

  • Symons, S., MacLatchy-Gaudet, H., Stone, T. D., & Reynolds, P. L. (2001). Strategy instruction for elementary students searching informational text. Scientific Studies of Reading, 5(1), 1–33. doi:10.1207/S1532799XSSR0501_1.

    Article  Google Scholar 

  • USPIRG. (2005). Ripoff 101: How the publishing industry’s practices needlessly drive up textbook costs. Downloaded from the World Wide Web on November 1, 2008 from http://www.uspirg.org/uploads/_H/rF/_HrFuXAyUQ-KUSZ8Y80bAQ/ripoff2005.pdf.

  • Wecker, C., Kohnle, C., & Fischer, F. (2007). Computer literacy and inquiry learning: When geeks learn less. Journal of Computer Assisted Learning, 23(2), 133. doi:10.1111/j.1365-2729.2006.00218.x.

    Article  Google Scholar 

  • Wells, J., & Lewis, L. (2006). Internet access in U.S. public schools and classrooms: 1994–2005. Highlights. Washington, DC: National Center for Education Statistics.

    Google Scholar 

  • White, S., & Dillow, S. (2005). Key concepts and features of the 2003 national assessment of adult literacy. Washington, DC: National Center for Education Statistics.

    Google Scholar 

Download references

Acknowledgments

This research was partially supported by funding from an AERA/Spencer Pre-Dissertation Fellowship to Jennifer Cromley and funding from the National Science Foundation (REC#0133346) and the University of Maryland’s College of Education and School of Graduate Studies awarded to Roger Azevedo. An earlier version of this paper was presented at the Annual Meeting of the Society for the Scientific Study of Reading in Amsterdam, The Netherlands (2004). We would like to thank Dan Moos for his helpful comments. The authors would like to thank Danielle Fried for assistance with coding video data, Neil Hoffman for assistance with coding answers to the search questions, and the students, their parents, and schools for their participation in the study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jennifer G. Cromley.

Appendices

Appendix 1

Scoring rubric for quality of answers to each of the 10 questions, mean, minimum, and maximum obtained scores

Qu

Complete answer

1

2

3

4

M

Min

Max

1.

Red blood cells, white blood cells, platelets, and plasma

1/4

2/4

3/4

4/4

2.6

0

4

2.

Red blood cells transport oxygen and remove carbon dioxide

White blood cells defend the body against foreign organisms and substances (e.g., form antibodies)

Platelets clot the blood when a vessel is cut

1/4

2/4

3/4

4/4

2.8

0

4

3.

Transport oxygen, nutrients, wastes, and hormones, regulate body temperature, defend the body against foreign organisms and substances, and form clots

1–2/7

3–4/7

5–6/7

7/7

2.2

0

4

4.

Tricuspid valve—between right atrium (or auricle) and ventricle

Mitral valve—between left atrium (or auricle) and ventricle [also called bicuspid valve

Aortic valve—at entrance to aorta from left ventricle

Pulmonary valve—at entrance to pulmonary artery from right ventricle

Function of all heart valves is to prevent blood from flowing backwards

1–2/4 w/o function

3/4 w/o function

4 w/o function

4 + function

2.3

0

4

5.

From superior vena cava and inferior vena cava to right atrium, through tricuspid valve to right ventricle, through pulmonary valve to pulmonary artery, to lungs, back from lungs through pulmonary veins, into left atrium, through mitral valve, into left ventricle, through aortic valve into aorta and out to rest of body

<7/14

7–9/14

10–12/14

13–14/14

1.8

0

4

6.

Electrical impulse begins in SA node, through atria, to AV node, through bundle of His, through Purkinje fibers. Purpose is to make the heart beat, specifically, to make the atria beat, rest while blood moves down, and then make the ventricles beat

1–2/8

3–4/8

5–6/8

7–8/8

0.8

0

3

7.

Electrical—SA & AV nodes, bundle of His, and Purkinje fibers

Mechanical—4 valves

Support—Coronary vessels (arteries & veins), pericardium

<5/10

5–6/10

7–8/10

9–10/10

0.7

0

3

8.

From body through superior and inferior vena cava into right side of heart, out to lungs, back to left side of heart, out through aorta, through arteries (all over body simultaneously), capillaries, veins, and back to heart

<5/10

5–6/10

7–8/10

9–10/10

1.3

0

4

9.

Heart, blood, and blood vessels (arteries, veins, capillaries)

1/5

2/5

3/5

4–5/5

2.0

0

4

10.

To transport oxygen, nutrients, wastes, and hormones, regulate body temperature, defend the body against foreign organisms and substances, and form clots

1–2/7

3–4/7

5–6/7

7/7

1.8

0

4

Appendix 2

Results of question-by-question t tests comparing the group who did and did not find the key page

Q#

Prior knowledge

Time spent searching

Total quality of answers

t

df

p

t

df

p

t

df

p

1

−0.74

49

.46

1.87

8.54

.10

−2.26*

8.91

.05

2

−0.23

49

.82

2.50*

7.44

.04

−2.40*

7.75

.04

3

−1.92

49

.06

3.97*

49

<.01

−17.95*

45

<.01

4

−1.16

49

.25

2.34*

49

.02

−9.37*

22.11

<.01

5

−1.06

49

.29

1.65

49

.11

−5.54*

49

<.01

6

−2.52

49

.01

1.31

49

.20

−7.17*

26.73

<.01

7

−0.71

49

.48

3.26*

49

.00

−5.93*

25.41

<.01

8

−1.52

46

.13

0.83

46

.41

−3.11*

46

<.01

9

0.45

39

.65

1.24

39

.22

−5.16*

32.99

<.01

10

−0.48

36

.63

0.74

34

.46

−4.74*

36

<.01

  1. Note: Positive t values indicate higher scores for the group that found the key page. Degrees of freedom that are not whole numbers reflect adjustment for non-homogeneity of variance between the two groups

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cromley, J.G., Azevedo, R. Locating information within extended hypermedia. Education Tech Research Dev 57, 287–313 (2009). https://doi.org/10.1007/s11423-008-9106-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11423-008-9106-5

Keywords

Navigation