A pre-post study to assess the impact of an information-problem solving intervention on university students’ perceptions and self-efficacy towards search engines

Parissi, Marioleni; Komis, Vassilis; Lavidas, Konstantinos; Dumouchel, Gabriel; Karsenti, Thierry

doi:https://doi.org/10.18162/ritpu-2019-v16n1-05

Adalier, A., & Serin, O. (2012). Teacher candidates’ information literacy self-efficacy. Tojsat, 2(2), 7178. Retrieved from http://tojsat.net

Google Scholar

Aharony, N., & Gazit, T. (2018). Students’ information literacy self-efficacy: An exploratory study. Journal of Librarianship and Information Science. doi:10.1177/0961000618790312

Google Scholar

Almaiah, M. A. (2018). Acceptance and usage of a mobile information system services in University of Jordan. Education and Information Technologies, 23(5), 18731895. doi:10.1007/s10639-018-9694-6

Google Scholar

Amoako-Gyampah, K. (2007). Perceived usefulness, user involvement and behavioral intention: An empirical study of ERP implementation. Computers in Human Behavior, 23(3), 1232–1248. doi:10.1016/j.chb.2004.12.002

Google Scholar

Aula, A., Khan, R. M., & Guan, Z. (2010). How does search behavior change as search becomes more difficult? In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 3544). New York, US: ACM. doi:10.1145/1753326.1753333 Retrieved from Paul G. Allen School of Computer Science & Engineering website: http://cs.washington.edu

Google Scholar

Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191215. doi:10.1037/0033-295X.84.2.191 Retrieved from CiteSeerX: http://citeseerx.ist.psu.edu

Google Scholar

Bandura, A. (2006). Guide for constructing self-efficacy scales. In F. Pajares & T. Urdan (Eds.), Self-efficacy beliefs of adolescents (pp. 307337). Greenwich, US: Information Age.

Google Scholar

Brand-Gruwel, S., Wopereis, I., & Walraven, A. (2009). A descriptive model of information problem solving while using Internet. Computers & Education, 53(4), 12071217. doi:10.1016/j.compedu.2009.06.004

Google Scholar

Bronstein, J. (2014). The role of perceived self-efficacy in the information seeking behavior of library and information science students. The Journal of Academic Librarianship, 40(2), 101106. doi:10.1016/j.acalib.2014.01.010

Google Scholar

Chen, L. C., Chen, Y. H., & Ma, W. I. (2017). Effects of integrated information literacy on science learning and problem-solving among seventh-grade students. Malaysian Journal of Library & Information Science, 19(2), 3551. Retrieved from http://jice.um.edu.my/index.php/MJLIS

Google Scholar

Chen, Y. H., & Chengalur-Smith, I. (2015). Factors influencing students’ use of a library Web portal: Applying course-integrated information literacy instruction as an intervention. The Internet and Higher Education, 26, 4255. doi:10.1016/j.iheduc.2015.04.005

Google Scholar

Cordes, S. (2014). Student perceptions of search tool usability. Internet Reference Services Quarterly, 19(1), 332. doi:10.1080/10875301.2014.894955

Google Scholar

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319340. doi:10.2307/249008 Retrieved from the author’s ResearchGate profile: http://researchgate.net/profile/Fred_Davis2

Google Scholar

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. doi:10.1287/mnsc.35.8.982 Retrieved from F. D. Davis’s ResearchGate profile: http://researchgate.net/profile/Fred_Davis2

Google Scholar

Davis, F. D., & Venkatesh, V. (2004). Toward preprototype user acceptance testing of new information systems: Implications for software project management. IEEE Transactions on Engineering Management, 51(1), 3146. doi:10.1109/TEM.2003.822468 Retrieved from F. D. Davis’s ResearchGate profile: http://researchgate.net/profile/Fred_Davis2

Google Scholar

De Grave, W. S., Boshuizen, H. P. A., & Schmidt, H. G. (1996). Problem based learning: Cognitive and metacognitive processes during problem analysis. Instructional Science, 24(5), 321341. doi:10.1007/BF00118111 Retrieved from RePub repository: http://repub.eur.nl

Google Scholar

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 930. doi:10.1080/07421222.2003.11045748 Retrieved from CiteSeerX: http://citeseerx.ist.psu.edu

Google Scholar

Eisenberg, M. B. (2008). Information literacy: Essential skills for the information age. DESIDOC Journal of Library & Information Technology, 28(2), 3947. doi:10.14429/djlit.28.2.166 Retrieved from the author’s ResearchGate profile: http://researchgate.net/profile/Michael_Eisenberg2

Google Scholar

Eisenberg, M. B., & Berkowitz, R. E. (1990). Information problem solving: The Big Six Skills approach to library & information skills instruction. Norwood, US: Ablex.

Google Scholar

Eisenberg, M. B., & Berkowitz, R. E. (2007, May). Big6 basics webinar [Slideshow]. Retrieved from M. B. Eisenberg’s website: http://faculty.washington.edu/mbe

Google Scholar

Eisenberg, M. B., & Berkowitz, R. E. (2011). The Big6 workshop handbook: Implementation and impact (4th ed.). Santa Barbara, US: ABC-CLIO, LLC.

Google Scholar

Eisenberg, M. B., & Johnson. D. (2002). Learning and teaching information technology computer skills in context (ERIC Document No. ED465377). Retrieved from ERIC: http://eric.ed.gov

Google Scholar

Field, A. (2013). Discovering statistics using IBM SPSS statistics. Washington, US: Sage.

Google Scholar

Foo, S., Majid, S., Azura Mokhtar, I., Zhang, X., Chang, Y. K., Luyt, B., & Theng, Y. L. (2014). Information literacy skills of secondary school students in Singapore. Aslib Journal of Information Management, 66(1), 5476. Retrieved from S. Foo’s website: http://ntu.edu.sg/home/sfoo

Google Scholar

Georgas, H. (2013). Google vs. the library: Student preferences and perceptions when doing research using Google and a federated search tool. portal: Libraries and the Academy, 13(2), 165185. doi:10.1353/pla.2013.0011 Retrieved from CUNY Academics Works repository: http://academicworks.cuny.edu

Google Scholar

Gross, M., Armstrong, B., & Latham, D. (2012). The Analyze, Search, Evaluate (ASE) process model: Three steps toward information literacy. Community & Junior College Libraries, 18(34), 103118. doi:10.1080/02763915.2012.780488

Google Scholar

John, S. P. (2013). Influence of computer self-efficacy on information technology adoption. International Journal of Information Technology, 19(1), 113. Retrieved from http://intjit.org

Google Scholar

Keshavarz, H., Esmaeili Givi, M., & Vafaeian, A. (2016). Students’ sense of self-efficacy in searching information from the Web: A PLS approach. Webology, 13(2), 1631. Retrieved from http://webology.org

Google Scholar

Kuhlthau, C. (2004). Seeking meaning: A process approach to library and information services (2nd ed.) Westport, US: Libraries Unlimited.

Google Scholar

Kurbanoglu, S. S., Akkoyunlu, B., & Umay, A. (2006). Developing the information literacy self-efficacy scale. Journal of Documentation, 62(6), 730743. doi:10.1108/00220410610714949 Retrieved from S. S. Kurbanoglu’s ResearchGate profile: http://researchgate.net/profile/Serap_Kurbanoglu

Google Scholar

Lavidas, K., Komis, V., & Gialamas, V. (2013). Spreadsheets as cognitive tools: A study of the impact of spreadsheets on problem solving of math story problems. Education and Information Technologies, 18(1), 113129. doi:10.1007/s10639-011-9174-8

Google Scholar

Lavidas, K., Komis, V., & Voulgari, I. (2017). Detecting errors during the construction of mathematical formulas in a spreadsheet environment: An empirical study involving novice users. SCIREA Journal of Education, 2(1), 117. Retrieved from http://scirea.org/journal/Education

Google Scholar

Malliari, A., Togia, A., Korobili, S., & Nitsos, I. (2017). Information literacy skills of Greek high-school students: Results of an empirical survey. Qualitative and Quantitative Methods in Libraries, 3(1), 271281. Retrieved from http://qqml-journal.net

Google Scholar

Mawby, J., Foster, A., & Ellis, D. (2015). Everyday life information seeking behaviour in relation to the environment: Disposable information? Library Review, 64(67), 468479. doi:10.1108/LR-10-2014-0120 Retrieved from Aberystwyth Research Portal: http://pure.aber.ac.uk/portal

Google Scholar

Morrison, R. (2015). Silver surfers search for gold: A study into the online information-seeking skills of those over fifty. Ageing International, 40(3), 300310. doi:10.1007/s121260159224-4 Retrieved from the author’s ResearchGate profile: http://researchgate.net/profile/Renee_Morrison5

Google Scholar

Murray, J. (updated 2015, October). Applying Big6™ skills, AASL standards and ISTE standards to Internet research. Retrieved November 21, 2019 from the author’s website: http://janetsinfo.com

Google Scholar

Notess, G. R. (2006). Teaching Web search skills: Techniques and strategies of top trainers. Medford, US: Information Today.

Google Scholar

Ntoulas, A., Stamou, S., Tzagarakis, M., & Christodoulakis, D. (2001). Understanding search engines: Requirements for explaining search results. In N. Avouris & N. Fakotakis (Eds.), Proceedings of the 1st Panhellenic Conference with International Participation in Human Computer Interaction (PCHCI). Retrieved from M. Tzagarakis’s ResearchGate profile: http://researchgate.net/profile/Manolis_Tzagarakis

Google Scholar

Parissis, M., Tselios, N., & Komis, V. (2010). Is searching self efficacy related to search performance? A study of University studentsʼ Web information searching strategies. In D. Benzie, K.-W. Lai, & C. Reffay (Eds), Proceedings of IFIP Working Conferencence – New Developments in ICT and Education. Retrieved from Academia.edu: http://academia.edu

Google Scholar

Pilgrim, J., & Martinez, E. E. (2013). Defining literacy in the 21st century: A guide to terminology and skills. Texas Journal of Literacy Education, 1(1), 6069. Retrieved from ERIC: http://eric.ed.gov

Google Scholar

Rose, J., & Fogarty, G. J. (2006). Determinants of perceived usefulness and perceived ease of use in the technology acceptance model: Senior consumers’ adoption of self-service banking technologies. In G. Ogunmokun, R. Gabbay, & J. Rose (Eds.), Proceedings of the 2nd Biennial Conference of the Academy of World Business, Marketing and Management Development: Business Across Borders in the 21st Century (Vol. 2, pp. 122129). Retrieved from USQ ePrints repository: http://eprints.usq.edu.au

Google Scholar

Salehi, S., Du, J. T., & Ashman, H. (2018). Use of Web search engines and personalisation in information searching for educational purposes. Information Research: An International Electronic Journal, 23(2). Retrieved from http://informationr.net/ir

Google Scholar

Santana Arroyo, S. (2013). Information literacy for health professionals: Teaching essential information skills with the Big6 information literacy model. Community & Junior College Libraries, 19(34), 7791. doi:10.1080/02763915.2014.953435 Retrieved from the author’s ResearchGate profile: http://researchgate.net/profile/Sonia_Santana_Arroyo

Google Scholar

Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240253. doi:10.1287/isre.8.3.240

Google Scholar

Sterling, G. (2017, February 9). Data: Google monthly search volume dwarfs rivals because of mobile advantage. Search Engine Land. Retrieved from http://searchengineland.com

Google Scholar

Surendran, P. (2012). Technology acceptance model: A survey of literature. International Journal of Business and Social Research, 2(4), 175178. https://doi.org/10.18533/ijbsr.v2i4.161

Google Scholar

Thomas, N. P., Crow, S. R., & Franklin, L. L. (2011). Information literacy and information skills instruction: Applying research to practice in the 21st century school library. Santa Barbara, US: Libraries Unlimited.

Google Scholar

Van Dinther, M., Dochy, F., & Segers, M. (2011). Factors affecting students’ self-efficacy in higher education. Educational Research Review, 6(2), 95108. doi:10.1016/j.edurev.2010.10.003

Google Scholar

Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273315. doi:10.1111/j.1540-5915.2008.00192.x Retrieved from V. Venkatesh’s website: http://vvenkatesh.com

Google Scholar

Walraven, A., Brand-Gruwel, S., & Boshuizen, H. P. A. (2008). Information problem-solving: A review of problems students encounter and instructional solutions. Computers in Human Behavior, 24(3), 623648. doi:10.1016/j.chb.2007.01.030 Preprint retrieved from CORE repository: http://core.ac.uk

Google Scholar

Wilson, T. D. (1997). Information behaviour: An interdisciplinary perspective. Information Processing & Management, 33(4), 551572. doi:10.1016/S0306-4573(97)00028-9 Retrieved from the author’s ResearchGate profile: http://researchgate.net/profile/Tom_Wilson25

Google Scholar

Wopereis, I., Brand-Gruwel, S., & Vermetten, Y. (2008). The effect of embedded instruction on solving information problems. Computers in Human Behavior, 24(3), 738752. doi:10.1016/j.chb.2007.01.024 Preprint retrieved from CORE repository: http://core.ac.uk

Google Scholar

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