article

There's a creepy guy on the other end at Google!: engaging middle school students in a drawing activity to elicit their mental models of Google

Authors:

Christie Kodama,

Mega Subramaniam, and

Natalie Greene TaylorAuthors Info & Claims

Information Retrieval, Volume 20, Issue 5

Pages 403 - 432

https://doi.org/10.1007/s10791-017-9306-x

Published: 01 October 2017 Publication History

Abstract

Although youth are increasingly going online to fulfill their needs for information, many youth struggle with information and digital literacy skills, such as the abilities to conduct a search and assess the credibility of online information. Ideally, these skills encompass an accurate and comprehensive understanding of the ways in which a system, such as a Web search engine, functions. In order to investigate youths' conceptions of the Google search engine, a drawing activity was conducted with 26 HackHealth after-school program participants to elicit their mental models of Google. The findings revealed that many participants personified Google and emphasized anthropomorphic elements, computing equipment, and/or connections (such as cables, satellites and antennas) in their drawings. Far fewer participants focused their drawings on the actual Google interface or on computer code. Overall, their drawings suggest a limited understanding of Google and the ways in which it actually works. However, an understanding of youths' conceptions of Google can enable educators to better tailor their digital literacy instruction efforts and can inform search engine developers and search engine interface designers in making the inner workings of the engine more transparent and their output more trustworthy to young users. With a better understanding of how Google works, young users will be better able to construct effective queries, assess search results, and ultimately find relevant and trustworthy information that will be of use to them.

References

[1]

Agosto, D. E. (2002a). Bounded rationality and satisficing in young people's Web-based decision making. Journal of the American Society of Information Science and Technology, 53(1), 16-27.

Digital Library

[2]

Agosto, D. E. (2002b). A model of young people's decision-making in using the Web. Library & Information Science Research, 24(4), 311-341.

[3]

American Association of School Libraries. (2009). Standards for the 21st century learner in action. Chicago, IL: American Library Association.

[4]

Barlow, C. M., Jolley, R. P., & Hallam, J. L. (2011). Drawings as memory aids: Optimising the drawing method to facilitate young children's recall. Applied Cognitive Psychology, 25(3), 480-487.

[5]

Barrett, M. D., & Bridson, A. (1983). The effect of instructions upon children's drawings. British Journal of Developmental Psychology, 1(2), 175-178.

[6]

Besnard, D., Greathead, D., & Baxter, G. (2004). When mental models go wrong: Co-occurrences in dynamic, critical systems. International Journal of Human-Computer Studies, 60(1), 117-128.

Digital Library

[7]

Bosacki, S. L., Marini, Z. A., & Dane, A. V. (2006). Voices from the classroom: Pictorial and narrative representations of children's bullying experiences. Journal of Moral Education, 35(2), 231-245.

[8]

Brandt, S. (2001). Reference, mental models, and teaching technology. Reference Librarian, 35(74), 37-47.

[9]

Brandt, D. S., & Uden, L. (2003). Insight into mental models of novice Internet searchers. Communications of the ACM, 46(7), 133-136.

Digital Library

[10]

Collins, A., Joseph, D., & Bielaczyc, K. (2004). Design research: Theoretical and methodological issues. Journal of the Learning Sciences, 13(1), 15-42.

[11]

Craik, K. (1943). The nature of explanation. Cambridge: Cambridge University Press.

[12]

Creech, A., & Hallam, S. (2006). Every picture tells a story: Pupil representations of learning the violin. Educate, 6(1), 35-56.

[13]

Denham, P. (1993). Nine- to fourteen-year-old children's conception of computers using drawings. Behaviour & Information Technology, 12(6), 346-358.

[14]

Devine-Wright, H., & Devine-Wright, P. (2009). Social representations of electricity network technologies: Exploring processes of anchoring and objectification through the use of visual research methods. British Journal of Social Psychology, 48(2), 357-373.

[15]

Dinet, J., & Kitajima, M. (2011). "Draw me the Web": Impact of mental model of the Web on information search performance of young users. In Immaculate Heart of Mary National Home School and Parent Conference (IHM'11), Sophia Antipolis, France, October 24-27, 2011.

[16]

Doyle, J. K., & Ford, D. N. (1998). Mental models concepts for system dynamics research. System Dynamics Review, 14(1), 3-29.

[17]

Eastin, M. S. (2008). Toward a cognitive developmental approach to youth perceptions of credibility. In M. J. Metzger & A. J. Flanagin (Eds.), Digital media, youth, and credibility (pp. 101-122). Cambridge, MA: The MIT Press.

[18]

eBizMBA, Inc. (2017). The eBizMBA Guide: Top 15 Most Popular Search Engines. Available http://www.ebizmba.com/articles/search-engines

[19]

Fails, J. A., Guha, M. L., & Druin, A. (2012). Methods and techniques for involving children in the design of new technology for children. Foundations and Trends in Human-Computer Interaction, 6(2), 85-166.

Digital Library

[20]

Fergie, G., Hunt, K., & Hilton, S. (2013). What young people want from health-related online resources: A focus group study. Journal of Youth Studies, 16(5), 579-596.

[21]

Flanagin, A. J., & Metzger, M. J. (2008). Digital media and youth: Unparalleled opportunity and unprecedented Responsibility. In M. J. Metzger & A. J. Flanagin (Eds.), Digital media, youth, and credibility (pp. 5-27). Cambridge, MA: The MIT Press.

[22]

Francke, H., Sundin, O., & Limberg, L. (2011). Debating credibility: The shaping of information literacies in upper secondary school. Journal of Documentation, 67(4), 675-694.

[23]

Gasser, U., Cortesi, S., Malik, M., & Lee, A. (2012). Youth and digital media: From credibility to information quality. The Berkman Center for Internet & Society Research Publication Series, No. 2012-1. Available at http://dm12011.dmlhub.net/sites/dmlcentral/files/resource_files/ssrn-id2005272.pdf

[24]

Glynn, S. (1997). Drawing mental models. The Science Teacher, 64(1), 30-32.

[25]

Goodman, N. (1976). Languages of Art. Indianapolis, IN: Hackett.

[26]

Gray, S. H. (1990). Using protocol analyses and drawings to study mental model construction during hypertext navigation. International Journal of Human-Computer Interaction, 2(4), 359-377.

[27]

Hansen, D. L., Derry, H. A., Resnick, P. J., & Richardson, C. R. (2003). Adolescents searching for health information on the Internet: An observational study. Journal of Medical Internet Research, 5(4), e25.

[28]

Harrison, L. J., Clarke, L., & Ungerer, J. A. (2007). Children's drawings provide a new perspective on teacher-child relationship quality and school adjustment. Early Childhood Research Quarterly, 22(1), 55-71.

[29]

Hendry, D. G., & Efthimiadis, E. N. (2008). Conceptual models for search engines. In A. Spink & M. Zimmer (Eds.), Web search: Multidisciplinary perspectives (pp. 277-307). Berlin: Springer.

[30]

Hirsh, S. (2004). Domain knowledge and children's search behavior. In M. K. Chelton & C. Cool (Eds.), Youth information-seeking behavior: Theories, models, and issues (pp. 241-272). Lanham, MD: Scarecrow Press.

[31]

Holman, L. (2011). Millennial students' mental models of search: Implications for academic librarians and database developers. Journal of Academic Librarianship, 37(1), 19-27.

[32]

Holsti, O. R. (1969). Content analysis for the social sciences and humanities. Reading, MA: Addison-Wesley Publishing Co.

[33]

Johnson-Laird, P. N. (1989). Mental models. In M. Posner (Ed.), Foundations of cognitive science (pp. 469-499). Cambridge, MA: MIT Press.

[34]

Keil, F. C., & Kominsky, J. F. (2013). Missing links in middle school: Developing use of disciplinary relatedness in evaluating Internet search results. PLoS ONE, 8(6), e67777.

[35]

Klayman, J., & Ha, Y.-W. (1987). Confirmation, disconfirmation, and information in hypothesis testing. Psychological Review, 94(2), 211-228.

[36]

Klayman, J., & Ha, Y.-W. (1989). Hypothesis testing in rule discovery: Strategy, structure, and content. Journal of Experimental Psychology. Learning, Memory, and Cognition, 15(4), 596-604.

[37]

Lenhart, A. (2015). Teens, social media and technology overview 2015. Pew Research Center. Available http://www.pewinternet.org/2015/04/09/teens-social-media-technology-2015/

[38]

Li, P. (2007). Doctoral students' mental models of a web search engine: An exploratory study, McGill University, Montreal, Quebec, Canada (Unpublished doctoral dissertation).

[39]

Libarkin, J. C., Thomas, S. R., & Ording, G. (2015). Factor analysis of drawings: Application to college student models of the greenhouse effect. International Journal of Science Education, 37(13), 2214-2236.

[40]

Light, P. (1985). The development of view-specific representation considered from a socio-cognitive standpoint. In N. H. Freeman & M. V. Cox (Eds.), Visual order: The nature and development of pictorial representation (pp. 214-230). Cambridge: Cambridge University Press.

[41]

Marhan, A. M., Micle, M. I., Popa, C., & Preda, G. (2012). A review of mental models research in child-computer interaction. Procedia: Social and Behavioral Sciences, 33(1), 368-372.

[42]

Maryland State Department of Education. (2015). 2015 Maryland report card. http://reportcard.msde.maryland.gov/

[43]

Mozilla Learning. (2016). Web literacy. https://learning.mozilla.org/en-US/web-literacy

[44]

Norman, D. A. (1983). Some observations on mental models. In D. Gentner & A. L. Stevens (Eds.), Mental models (pp. 7-14). Hillsdale, NJ: Lawrence Erlbaum Associates, Publishers.

[45]

Palmquist, R. A. (2001). Cognitive style and users' metaphors for the Web: An exploratory study. Journal of Academic Librarianship, 27(1), 24-32.

[46]

Panagiotaki, G., Nobes, G., & Potton, A. (2009). Mental models and other misconceptions in children's understanding of the earth. Journal of Experimental Child Psychology, 104(1), 52-67.

[47]

Papastergiou, M. (2005). Students' mental models of the Internet and their didactical exploitation in Informatics education. Education and Information Technologies, 10(4), 341-360.

Digital Library

[48]

Proudfoot, D. (2011). Anthropomorphism and AI: Turing's much misunderstood imitation game. Artificial Intelligence, 175(5-6), 950-957.

Digital Library

[49]

Richardson, G. P., Anderson, D. F., Maxwell, T. A., & Stewart, T. R. (1994). Foundations of mental model research. In Proceedings of the 12th International System Dynamics Conference, Stirling, Scotland, July 11-15. Available http://www.albany.edu/~gpr/MentalModels.pdf

[50]

Rieh, S.-Y., Yang, J. Y., Yakel, E., & Markey, K. (2010). Conceptualizing institutional repositories: Using co-discovery to uncover mental models. In Information Interaction in Context (IIiX), New Brunswick, NJ, August 18-21, 2010.

[51]

Rouet, J. F., Ros, C., Goumi, A., Macedo-Rouet, M., & Dinet, J. (2011). The influence of surface and deep cues on primary and secondary school students' assessment of relevance in web menus. Learning and Instruction, 21(2), 205-219.

[52]

Rücker, M. T., & Pinkwart, M. (2016). Review and discussion of children's conceptions of computers. Journal of Science Education and Technology, 25(2), 274-283.

[53]

Shenton, A. K., & Dixon, P. (2004). Issues arising from youngsters' information-seeking behavior. Library & Information Science Research, 26(2), 177-200.

[54]

Simon, H. A. (1956). Rational choice and the structure of the environment. Psychological Review, 63(2), 129-138.

[55]

Skopelja, E., Whipple, E., & Richwine, P. (2008). Reaching and teaching teens: adolescent health literacy and the internet. Journal of Consumer Health on the Internet, 12(2), 105-118.

[56]

St. Jean, B., Subramaniam, M., Taylor, N. G., Follman, R., Kodama, C., & Casciotti, D. (2015). The influence of positive hypothesis testing on youths' online health-related information seeking. New Library World, 116(3/4), 136-154.

[57]

Subramaniam, M., St. Jean, B., Taylor, N. G., Kodama, C., Follman, R., & Casciotti, D. (2015b). Bit by bit: Using design-based research to improve young peoples' health literacy. JMIR Research Protocols, 4(2), paper e62. Available: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464334/

[58]

Subramaniam, M., Taylor, N. G., St. Jean, B., Follman, R., & Kodama, C. (2015a). As simple as that? Tween credibility assessment in a complex online world. Journal of Documentation, 71(3), 550-571.

[59]

Thatcher, A., & Greyling, M. (1998). Mental models of the Internet. International Journal of Industrial Ergonomics, 22(4), 299-305.

[60]

Wartella, E., Rideout, V., Montague, H., Beaudoin-Ryan, L., & Lauricella, A. (2016). Teens, health and technology: A national survey. Media and Communication, 4(3). Available http://cmhd.northwestern.edu/wp-content/uploads/2015/05/1886_1_SOC_ConfReport_TeensHealthTech_051115.pdf

[61]

Westbrook, L. (2006). Mental models: A theoretical overview and preliminary study. Journal of Information Science, 32(6), 563-579.

Digital Library

[62]

Yan, Z. (2005). Age differences in children's understanding of the complexity of the Internet. Applied Developmental Psychology, 26(4), 385-396.

[63]

Yan, Z. (2006). What influences children's and adolescents' understanding of the complexity of the Internet? Developmental Psychology, 42(3), 418-428.

[64]

Yan, Z. (2009). Limited knowledge and limited resources: Childrens' and adolescents' understanding of the Internet. Journal of Applied Developmental Psychology, 30(2), 103-115.

[65]

Zhang, Y. (2008a). The influence of mental models on undergraduate students' searching behavior on the Web. Information Processing and Management, 44(3), 1330-1345.

Digital Library

[66]

Zhang, Y. (2008b). Undergraduate students' mental models of the Web as an information retrieval system. Journal of the American Society for Information Science and Technology, 59(13), 2087-2098.

Digital Library

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There's a creepy guy on the other end at Google!: engaging middle school students in a drawing activity to elicit their mental models of Google
1. Information systems
  1. Information retrieval

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cover image Information Retrieval

Information Retrieval Volume 20, Issue 5

Oct 2017

147 pages

ISSN:1386-4564

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Copyright © Copyright © 2017 Springer Science+Business Media, LLC.

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Kluwer Academic Publishers

United States

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Published: 01 October 2017

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