Log in

Fostering learners’ metacognitive skills of keyword reformulation in image seeking by location-based hierarchical navigation

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

Abstract

It is critical that students learn how to retrieve useful information in hypermedia environments, a task that is often especially difficult when it comes to image retrieval, as little text feedback is given that allows them to reformulate keywords they need to use. This situation may make students feel disorientated while attempting image searching. This study thus designed an image navigation tool, location-based hierarchical navigation support (LHINS), which can dynamically construct a compact WordNet-based hierarchy augmented by location. Using this tool, learners can assimilate new information based on their existing knowledge structure, thus avoiding cognitive overload so as to scaffold their metacognitive skills. Sixty-four high school students were invited to take part in an experiment to test the efficacy of the proposed tool compared to a normal keyword-based search (NKBS) system. The experiment evaluated not only the students’ task completion time in the NKBS and LHINS groups, but also their keyword reformulation process, in order to determine the differences in their metacognitive skills. The results revealed that the LHINS group tended to complete the tasks faster and develop better metacognitive skills related to keyword reformulation as compared to the NKBS group. This finding suggests that an image search engine, enhanced by a compact hierarchical navigation tool, can help learners develop better search strategies. When examining how learners with different cognitive styles used the tool, the results showed that learner performance depends on cognitive style, as well as the image retrieval system used, and thus a more detailed investigation of the interaction between the tool and cognitive styles was conducted. Based on these results, several suggestions are derived for designing a more powerful image navigation tool.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Adipat, B., Zhang, D. S., & Zhou, L. N. (2011). The effects of tree-view based presentation adaptation on mobile web browsing. MIS Quarterly, 35(1), 99–121.

    Google Scholar 

  • Arnone, M. P., Small, R. V., Chauncey, S. A., & McKenna, H. P. (2011). Curiosity, interest and engagement in technology-pervasive learning environments: A new research agenda. Educational Technology Research and Development, 59(2), 181–198.

    Article  Google Scholar 

  • Ausubel, D. P., Novak, J. D., & Hanesian, H. (1978). Educational psychology: A cognitive view (2nd ed.). New York: Jolt, Rinchart and Winston.

    Google Scholar 

  • Bannert, M., Hildebrand, M., & Mengelkamp, C. (2009). Effects of a metacognitive support device in learning environments. Computers in Human Behavior, 25(4), 829–835.

    Article  Google Scholar 

  • Bryan-Kinns, N., Blandford, A., & Thimbleby, H. (2000). Interaction modelling for digital libraries. Paper Presented at the Workshop on Evaluation of Information Management System, New Britain.

  • Bulu, S. T., & Pedersen, S. (2010). Scaffolding middle school students’ content knowledge and ill-structured problem solving in a problem-based hypermedia learning environment. Educational Technology Research and Development, 58(5), 507–529.

    Article  Google Scholar 

  • Chen, J. -Y., Bouman, C. A., & Dalton, J. (1998). Similarity pyramids for browsing and organization of large image databases. Paper Presented at the Human Vision and Electronic Imaging III, San Jose, CA.

  • Chen, S. Y., Fan, J. P., & Macredie, R. D. (2006). Navigation in hypermedia learning systems: Experts vs. novices. Computers in Human Behavior, 22(2), 251–266.

    Article  Google Scholar 

  • Chen, S. Y., & Liu, X. (2009). Mining students’ learning patterns and performance in Web-based instruction: A cognitive style approach. Interactive Learning Environments, 19(2), 179–192.

    Article  Google Scholar 

  • Clarebout, G., Horz, H., Schnotz, W., & Elen, J. (2010). The relation between self-regulation and the embedding of support in learning environments. Educational Technology Research and Development, 58(5), 573–587.

    Article  Google Scholar 

  • Cromley, J. G., & Azevedo, R. (2009). Locating information within extended hypermedia. Educational Technology Research and Development, 57(3), 287–313.

    Article  Google Scholar 

  • Daniels, H. L., & Moore, D. M. (2000). Interaction of cognitive style and learner control in a hypermedia environment. International Journal of Instructional Media, 27(4), 369–383.

    Google Scholar 

  • Datta, R., Joshi, D., Li, J., & Wang, J. Z. (2008). Image retrieval: Ideas, influences, and trends of the new age. ACM Computing Surveys, 40(2), 5:1–5:60.

    Google Scholar 

  • DeStefano, D., & LeFevre, J. A. (2007). Cognitive load in hypertext reading: A review. Computers in Human Behavior, 23(3), 1616–1641.

    Article  Google Scholar 

  • Dias, P., Gomes, M. J., & Correia, P. (1999). Disorientation in hypermedia environments: Mechanisms to support navigation. Journal of Educational Computing Research, 20(2), 93–117.

    Article  Google Scholar 

  • Farrell, I. H., & Moore, D. M. (2001). The effect of navigation tools on learners’ achievement and attitude in a hypermedia environment. Journal of Educational Technology Systems, 29(2), 169–181.

    Article  Google Scholar 

  • Fehrenbach, C. R. (1994). Cognitive style of gifted and average readers. Roeper Review, 16(4), 290–292.

    Article  Google Scholar 

  • Garcia, L., Nussbaum, M., & Preiss, D. D. (2011). Is the use of information and communication technology related to performance in working memory tasks? Evidence from seventh-grade students. Computers & Education, 57(3), 2068–2076.

    Article  Google Scholar 

  • Goker, A., & Myrhaug, H. (2008). Evaluation of a mobile information system in context. Information Processing and Management, 44(1), 39–65.

    Article  Google Scholar 

  • Gong, Z., Muyeba, M., & Guo, J. (2010). Business information query expansion through semantic network. Enterprise Information Systems, 4(1), 1–22.

    Article  Google Scholar 

  • Hay, D. B., Kehoe, C., Miquel, M. E., Hatzipanagos, S., Kinchin, I. M., Keevil, S. F., et al. (2008). Measuring the quality of e-learning. British Journal of Educational Technology, 39(6), 1037–1056.

    Article  Google Scholar 

  • Hearst, M. (2006). Clustering versus faceted categories for information exploration. Communications of the ACM, 49(4), 59–61.

    Article  Google Scholar 

  • Huang, Y. M., Chiu, P. S., Liu, T. C., & Chen, T. S. (2011a). The design and implementation of a meaningful learning-based evaluation method for ubiquitous learning. Computers & Education, 57(4), 2291–2302.

    Article  Google Scholar 

  • Huang, Y.-M., Huang, Y.-M., Liu, C.-H., & Tsai, C.-C. (2011b). Applying social tagging to manage cognitive load in a Web 2.0 self-learning environment. Interactive Learning Environments. doi:10.1080/10494820.2011.555839.

  • Huang, Y. M., Huang, Y. M., Huang, S. H., & Lin, Y. T. (2012a). A ubiquitous English vocabulary learning system: Evidence of active/passive attitudes vs. usefulness/ease-of-use. Computers & Education, 58(1), 273–282.

    Article  Google Scholar 

  • Huang, Y. M., Liang, T. H., Su, Y. N., & Chen, N. S. (2012b). Empowering personalized learning with an interactive e-book learning system for elementary school students. Educational Technology Research and Development, 60(4), 703–722.

    Google Scholar 

  • Huang, Y. M., Lin, Y. T., & Cheng, S. C. (2010). Effectiveness of a mobile plant learning system in a science curriculum in Taiwanese elementary education. Computers & Education, 54(1), 47–58.

    Google Scholar 

  • Hwang, G. J., Chen, C. Y., Tsai, P. S., & Tsai, C. C. (2011). An expert system for improving web-based problem-solving ability of students. Expert Systems with Applications, 38(7), 8664–8672.

    Article  Google Scholar 

  • Khan, L., McLeod, D., & Hovy, E. (2004). Retrieval effectiveness of an ontology-based model for information selection. VLDB Journal, 13(1), 71–85.

    Article  Google Scholar 

  • Khine, M. S. (1996). The interaction of cognitive styles with varying levels of feedback in multimedia presentation. International Journal of Instructional Media, 23(3), 229–237.

    Google Scholar 

  • Krishnamachari, S., & Abdel-Mottaleb, M. (1999). Image browsing using hierarchical clustering. Paper Presented at the 4th IEEE Symposium on Computers and Communications, Red Sea, Egypt.

  • Lee, H. L., & Olson, H. A. (2005). Hierarchical navigation: An exploration of Yahoo! directories. Knowledge Organization, 32(1), 10–24.

    Google Scholar 

  • Leonard, N. H., Scholl, R. W., & Kowalski, K. B. (1999). Information processing style and decision making. Journal of Organizational Behavior, 20(3), 407–420.

    Article  Google Scholar 

  • Lin, C. Y., & Hu, R. P. (2003). Students’ understanding of energy flow and matter cycling in the context of the food chain, photosynthesis, and respiration. International Journal of Science Education, 25(12), 1529–1544.

    Article  Google Scholar 

  • Liu, C. J., & Shen, M. H. (2011). The influence of different representations on solving concentration problems at elementary school. Journal of Science Education and Technology, 20(5), 621–629.

    Google Scholar 

  • Liu, M.-C., Wen, D., Kinshuk, & Huang, Y.-M. (2010). Learning animal concepts with semantic hierarchy-based location-aware image browsing and ecology task generator. Paper Presented at the 6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010, Kaohsiung, Taiwan.

  • Mills, R. J., Paper, D., Lawless, K. A., & Kulikowich, J. M. (2002). Hypertext navigation: An intrinsic component of the corporate intranet. Journal of Computer Information Systems, 42(3), 44–50.

    Google Scholar 

  • Morgan, H. (1997). Cognitive styles and classroom learning. Westport, CT: Praeger.

    Google Scholar 

  • Nilsson, R. M., & Mayer, R. E. (2002). The effects of graphic organizers giving cues to the structure of a hypertext document on users’ navigation strategies and performance. International Journal of Human Computer Studies, 57(1), 1–26.

    Article  Google Scholar 

  • Ogbu, J. U. (1992). Understanding cultural diversity and learning. Educational Researcher, 21(8), 5–14.

    Google Scholar 

  • Palmquist, R. A., & Kim, K. S. (2000). Cognitive style and on-line database search experience as predictors of Web search performance. Journal of the American Society for Information Science, 51(6), 558–566.

    Article  Google Scholar 

  • Quintana, C., Zhang, M. L., & Krajcik, J. (2005). A framework for supporting metacognitive aspects of online inquiry through software-based scaffolding. Educational Psychologist, 40(4), 235–244.

    Article  Google Scholar 

  • Ramirez, M., & Castaneda, A. (1974). Cultural democracy, bicognitive development, and education. New York, NY: Academic Press.

    Google Scholar 

  • Rittschof, K. A. (2010). Field dependence–independence as visuospatial and executive functioning in working memory: Implications for instructional systems design and research. Educational Technology Research and Development, 58(1), 99–114.

    Article  Google Scholar 

  • Salampasis, M., Tait, J., & Bloor, C. (1998). Evaluation of information-seeking performance in hypermedia digital libraries. Interacting with Computers, 10(3), 269–284.

    Article  Google Scholar 

  • Saracho, O. (1991). Cognitive style and social behavior in young Mexican American children. International Journal of Early Childhood, 23(2), 21–38.

    Article  Google Scholar 

  • Scheiter, K., & Gerjets, P. (2007). Learner control in hypermedia environments. Educational Psychology Review, 19(3), 285–307.

    Article  Google Scholar 

  • She, H. C., Cheng, M. T., Li, T. W., Wang, C. Y., Chiu, H. T., Lee, P. Z., et al. (2012). Web-based undergraduate chemistry problem-solving: The interplay of task performance, domain knowledge and web-searching strategies. Computers & Education, 59(2), 750–761.

    Article  Google Scholar 

  • Stanton, N., Correia, A. P., & Dias, P. (2000). Efficacy of a map on search, orientation and access behaviour in a hypermedia system. Computers & Education, 35(4), 263–279.

    Article  Google Scholar 

  • Tu, Y. W., Shih, M., & Tsai, C. C. (2008). Eighth graders’ web searching strategies and outcomes: The role of task types, web experiences and epistemological beliefs. Computers & Education, 51(3), 1142–1153.

    Article  Google Scholar 

  • Vega-Gorgojo, G., Bote-Lorenzo, M. L., Asensio-Perez, J. I., Gomez-Sanchez, E., Dimitriadis, Y. A., & Jorrin-Abellan, I. M. (2010). Semantic search of tools for collaborative learning with the Ontoolsearch system. Computers & Education, 54(4), 835–848.

    Article  Google Scholar 

  • Waniek, J., & Ewald, K. (2008). Cognitive costs of navigation aids in hypermedia learning. Journal of Educational Computing Research, 39(2), 185–204.

    Article  Google Scholar 

  • Witkin, H. A., Moore, C. A., Goodenough, D. R., & Cox, P. W. (1977). Field-dependent and field-independent cognitive styles and their educational implications. Review of Educational Research, 47(1), 1–64.

    Google Scholar 

  • Witkin, H. A., Oltman, P. K., Raskin, E., & Karp, S. A. (1971). A manual for the embedded figures tests. Palo Alto, CA, USA: Consulting Psychologists Press.

    Google Scholar 

  • Wu, Z., & Palmer, M. (1994). Verbs semantics and lexical selection. Paper Presented at the Proceedings of the 32nd Annual Meeting on Association for Computational Linguistics, Las Cruces, New Mexico, USA.

  • Yang, W. S., Cheng, H. C., & Dia, J. B. (2008). A location-aware recommender system for mobile shop** environments. Expert Systems with Applications, 34(1), 437–445.

    Article  Google Scholar 

  • Yang, J., Wenyin, L., Zhang, H., & Zhuang, Y. (2001). Thesaurus-aided approach for image browsing and retrieval. Paper Presented at the 2001 IEEE International Conference on Multimedia and Expo, ICME 2001, Tokyo, Japan.

Download references

Acknowledgments

The authors acknowledge the support of NSERC, iCORE, Xerox, and the research related gift funding by Mr. A. Markin. This work was also supported in part by the National Science Council (NSC), Taiwan, ROC, under Grant NSC 100-2218-E-006-017, 100-2631-S-006-002, 100-2631-S-011-003, 100-2511-S-006-014-MY3, 100-2511-S-006-015-MY3, 101-2511-S-041-001-MY3, and 101-3113-P-006-023.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yueh-Min Huang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liu, MC., Huang, YM., Kinshuk et al. Fostering learners’ metacognitive skills of keyword reformulation in image seeking by location-based hierarchical navigation. Education Tech Research Dev 61, 233–254 (2013). https://doi.org/10.1007/s11423-012-9280-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11423-012-9280-3

Keywords

Navigation