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Metacognitive scaffolding for online information search in K-12 and higher education settings: a systematic review

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Abstract

Online information search has become essential to knowledge construction. Digital information technologies are proliferating, and students are expected to be able to use them to manage the enormous volumes of information available online. Past research has shown that students of all ages may lack the ability to search for and find information effectively and efficiently. Therefore, it is necessary to determine ways of helping students to best apply search strategies to achieve their search goals. A review of relevant empirical studies published between 1995 and 2017 was conducted to examine the use of metacognitive scaffolding for online information search. Based on 36 studies, the reviewed metacognitive scaffolding strategies were all effective in enhancing both the process of searching and searching performance. Age was found to moderate this effect for search outcome, but not for search process. The results are discussed in online search contexts.

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References

*Indicates reviewed studies

  • Alberto, P. A., & Troutman, A. C. (2003). Applied behavior analysis for teachers. NJ: Merrill Prentice Hall.

    Google Scholar 

  • Alexander, J. M., Carr, M., & Schwanenflugel, P. J. (1995). Development of metacognition in gifted children: Directions for future research. Developmental Review, 15, 1–37. https://doi.org/10.1006/drev.1995.1001.

    Article  Google Scholar 

  • An, Y. J. (2010). Scaffolding wiki-based, ill-structured problem solving in an online environment. Journal of Online Learning and Teaching,6(4), 723–734.

    Google Scholar 

  • Archer, A. L., & Hughes, C. A. (2011). Exploring the foundations of explicit instruction. In A. L. Archer & C. A. Hughes (Eds.), Explicit instruction: Effective and efficient teaching (pp. 1–22). New York: Guilford.

    Google Scholar 

  • *Argelagós, E., & Pifarré, M. (2012). Improving information problem solving skills in secondary education through embedded instruction. Computers in Human Behavior, 28(2), 515–526.

  • Aula, A., & Nordhausen, K. (2006). Modeling successful performance in Web searching. Journal of the American Society for Information Science and Technology,57(12), 1678–1693.

    Article  Google Scholar 

  • Bannert, M., Sonnenberg, C., Mengelkamp, C., & Pieger, E. (2015). Short-and long-term effects of students’ self-directed metacognitive prompts on navigation behavior and learning performance. Computers in Human Behavior,52, 293–306.

    Article  Google Scholar 

  • *Beal, C. R., & Stevens, R. H. (2011). Improving students’ problem solving in a web-based chemistry simulation through embedded metacognitive messages. Technology, Instrumentation, Cognition and Learning, 8(3), 255–271.

  • Berardi-Coletta, B., Buyer, L. S., Dominowski, R. L., & Rellinger, E. R. (1995). Metacognition and problem solving: A process-oriented approach. Journal of Experimental Psychology. Learning, Memory, and Cognition,21(1), 205.

    Article  Google Scholar 

  • Borenstein, M., Hedges, L., Higgins, J., & Rothstein, H. (2009). Introduction to meta-analysis. Chichester, England: Wiley.

    Book  Google Scholar 

  • Borkowski, J. G., & Peck, V. A. (1986). Causes and consequences of metamemory in gifted children. In R. J. Sternberg & J. E. Davidson (Eds.), Conceptions of giftedness (pp. 182–200). New York: Cambridge University Press.

    Google Scholar 

  • Brand-Gruwel, S., Wopereis, I., & Walraven, A. (2009). A descriptive model of information problem solving while using internet. Computers & Education,53(4), 1207–1217.

    Article  Google Scholar 

  • *Britt, M. A., & Aglinskas, C. (2002). Improving students’ ability to identify and use source information. Cognition and Instruction, 20(4), 485–522.

  • Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education,27, 1–13.

    Article  Google Scholar 

  • Brown, A. L., Bransford, J. D., Ferrara, R. A., & Campione, J. C. (1983). Learning, remembering and understanding. In P. H. Mussen (Ed.), Handbook of child psychology (Vol. 3, pp. 77–166). New York: Wiley & Sons.

    Google Scholar 

  • Brudvik, O. C., & Hedberg, J. G. (2005). Visual representations for student’s learning processes in internet tasks. In P. Kommers & G. Richards (Eds.), Proceedings of ED-MEDIA 2005—World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 3806–3812). Montreal, Canada: Association for the Advancement of Computing in Education (AACE).

    Google Scholar 

  • *Brudvik, O., & Hedberg, J. (2010, May). Scaffolding learning tasks to achieve Internet literacy. In Proceedings of Global Learn (pp. 3387–3394). Association for the Advancement of Computing in Education (AACE).

  • 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 

  • Catledge, L. D., & Pitkow, J. E. (1995). Characterizing browsing strategies in the World-Wide Web. Computer Networks and ISDN Systems,27(6), 1065–1073.

    Article  Google Scholar 

  • Chen, C. H., & Chan, L. H. (2011). Effectiveness and impact of technology-enabled project-based learning with the use of process prompts in teacher education. Journal of Technology and Teacher Education,19(2), 141–167.

    Google Scholar 

  • Cockburn, A., & Jones, S. (1996). Which way now? Analysing and easing inadequacies in WWW navigation. International Journal of Human-Computer Studies,45(1), 105–129.

    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.

    Article  Google Scholar 

  • Cornford, I. R. (2005). Cognitive and metacognitive strategies as a basis for effective lifelong learning: how far have we progressed?. In Proceedings of the AARE Annual Conference (pp. 1–15). Melbourne, Australia: Australian Association for Research in Education.

  • Cortina, M. (2003). Defensive processes, emotions and internal working models: A perspective from attachment theory and contemporary models of the mind. In M. Cortina & M. Marrone (Eds.), Attachment theory and the psychoanalytic process (pp. 271–306). Philadelphia, PA: Whurr Publishers.

    Google Scholar 

  • Crescenzi, A. (2016). Metacognitive knowledge and metacognitive regulation in time-constrained in information search. Search as Learning (SAL). Retrieved from http://ceur-ws.org/Vol-1647/SAL2016_paper_5.pdf.

  • David, P., Song, M., Hayes, A., & Fredin, E. S. (2007). A cyclic model of information seeking in hyperlinked environments: The role of goals, self-efficacy, and intrinsic motivation. International Journal of Human-Computer Studies,65(2), 170–182.

    Article  Google Scholar 

  • Davis, E. A., & Linn, M. C. (2000). Scaffolding students’ knowledge integration: Prompts for reflection in KIE. International Journal of Science Education, 22(8), 819–837. https://doi.org/10.1080/095006900412293.

    Article  Google Scholar 

  • Field, A. P., & Gillett, R. (2010). How to do a meta-analysis. British Journal of Mathematical and Statistical Psychology,63(3), 665–694.

    Article  Google Scholar 

  • Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive—developmental inquiry. American Psychologist,34(10), 906–911.

    Article  Google Scholar 

  • *Gagnière, L., Betrancourt, M., & Détienne, F. (2012). When metacognitive prompts help information search in collaborative setting. Revue Européenne de Psychologie Appliquée/European Review of Applied Psychology, 62(2), 73–81.

  • *Gerjets, P., Kammerer, Y., & Werner, B. (2011). Measuring spontaneous and instructed evaluation processes during Web search: Integrating concurrent thinking-aloud protocols and eye-tracking data. Learning and Instruction, 21(2), 220-231.

  • Goldberg, A., Russell, M., & Cook, A. (2003). The effect of computers on student writing: A meta-analysis of studies from 1992 to 2002. The Journal of Technology, Learning and Assessment,2(1), 1–51.

    Google Scholar 

  • *Graesser, A. C., Wiley, J., Goldman, S. R., O’Reilly, T., Jeon, M., & McDaniel, B. (2007). SEEK Web tutor: Fostering a critical stance while exploring the causes of volcanic eruption. Metacognition and Learning, 2(2–3), 89–105.

  • Hargittai, E., Fullerton, L., Menchen-Trevino, E., & Thomas, K. Y. (2010). Trust online: Young adults’ evaluation of web content. International Journal of Communication,4, 468–494.

    Google Scholar 

  • *Huang, Y. M., Liu, M. C., Chen, N. S., & Wen, D. (2014). Facilitating learners’ web-based information problem-solving by query expansion-based concept mapping. Australasian Journal of Educational Technology, 30(5), 517–532.

  • *Huttenlock, T. L. (2007). Use of an advance organizer in the ill-structured problem domain of information seeking: A comparative case study. Unpublished doctoral dissertation, Northern Illinois University, USA.

  • *Hwang, C. W. (2010). The effects of metacognitive reading strategy on information searching ability of elementary school students (Unpublished master’s thesis). National University of Tainan, Tainan, Taiwan.

  • *Hwang, G. J., & Kuo, F. R. (2011). An information-summarising instruction strategy for improving the web-based problem solving abilities of students. Australasian Journal of Educational Technology, 27(2), 290–306.

  • Hwang, G. J., Tsai, P. S., Tsai, C. C., & Tseng, J. C. (2008). A novel approach for assisting teachers in analyzing student web-searching behaviors. Computers & Education,51(2), 926–938.

    Article  Google Scholar 

  • Hwang, G. J., Wu, P. H., & Chen, C. C. (2012). An online game approach for improving students’ learning performance in web-based problem-solving activities. Computers & Education, 59(4), 1246–1256.

    Article  Google Scholar 

  • *Jones, B. D. (2002). Recommendations for implementing Internet inquiry projects. Journal of Educational Technology Systems, 30(3), 271-291.

    Article  Google Scholar 

  • Jumaat, N. F., & Tasir, Z. (2014). Instructional scaffolding in online learning environment: A meta-analysis. In Proceedings of Teaching and Learning in Computing and Engineering (LaTiCE): 2014 International Conference on Teaching and Learning in Computing and Engineering (pp. 74–77). Kuching, Malaysia: IEEE.

  • Kitajima, M., Blackmon, M. H., & Polson, P. G. (2000). A comprehension-based model of Web navigation and its application to web usability analysis. In S. McDonald, Y. Waern, & G. Cockton (Eds.), People and computers XIV - usability or else! (pp. 357–373). London, UK: Springer-Verlag.

    Chapter  Google Scholar 

  • Kuhkthau, C. C. (1999). Accommodating the user’s information search process: Challenges for information retrieval system designers. Bulletin of the American Society for Information Science,25(3), 12–16.

    Article  Google Scholar 

  • Kuhlthau, C. C. (2004). Seeking meaning: A process approach to library and information services. Norwood, NJ: Ablex.

    Google Scholar 

  • *Kuo, F. R., Chen, N. S., & Hwang, G. J. (2014). A creative thinking approach to enhancing the web-based problem solving performance of university students. Computers & Education, 72, 220–230.

  • *Kuo, F. R., Hwang, G. J., & Lee, C. C. (2012). A hybrid approach to promoting students’ web-based problem-solving competence and learning attitude. Computers & Education, 58(1), 351–364.

  • Larkin, J. E., & Pines, H. A. (2005). Developing information literacy and research skills in introductory psychology: A case study. Journal of Academic Librarianship,31(1), 40–45.

    Article  Google Scholar 

  • *Lazonder, A. W. (2001). Minimalist instruction for learning to search the World Wide Web. Education and Information Technologies, 6(3), 161–176.

    Article  Google Scholar 

  • Lazonder, A. W., & Rouet, J. F. (2008). Information problem solving instruction: Some cognitive and metacognitive issues. Computers in Human Behavior, 24(3), 753–765. https://doi.org/10.1016/j.chb.2007.01.025.

    Article  Google Scholar 

  • *Leeder, C., & Shah, C. (2016). Measuring the effect of virtual librarian intervention on student online search. Journal of Academic Librarianship, 42(1), 2–7.

  • *Leeder, C. A. (2014). Scaffolding students’ information literacy skills with an online credibility evaluation learning tool (Unpublished doctoral dissertation). University of Michigan, MI.

  • Lipsey, M. W., & Wilson, D. B. (2001). Applied social research methods series (Vol. 49). Practical meta-analysis. Thousand Oaks, CA: Sage Publications Inc.

    Google Scholar 

  • Liyana, S., & Noorhidawati, A. (2014). How graduate students seek for information: Convenience or guaranteed result? Malaysian Journal of Library and Information Science,19(2), 1–15.

    Google Scholar 

  • Luzón, M. J. (2006). Providing scaffolding and feedback in online learning environments. Mélanges, CRAPEL,28, 113–122.

    Google Scholar 

  • Merchant, T. E., Sharma, S., Xiong, X., Wu, S., & Conklin, H. (2014). Effect of cerebellum radiation dosimetry on cognitive outcomes in children with infratentorial ependymoma. International Journal of Radiation Oncology, Biology, Physics, 90(3), 547–553. https://doi.org/10.1016/j.ijrobp.2014.06.043.

    Article  Google Scholar 

  • Monchaux, S., Amadieu, F., Chevalier, A., & Marine, C. (2015). Query strategies during information searching: Effects of prior domain knowledge and complexity of the information problems to be solved. Information Processing and Management,51, 557–569.

    Article  Google Scholar 

  • Morris, R., Hadwin, A. F., Gress, C. L., Miller, M., Fior, M., Church, H., et al. (2010). Designing roles, scripts, and prompts to support CSCL in gStudy. Computers in Human Behavior, 26(5), 815–824. https://doi.org/10.1016/j.chb.2008.12.001.

    Article  Google Scholar 

  • Olkin, I., & Finn, J. D. (1995). Correlations redux. Psychological Bulletin, 118(1), 155–164. https://doi.org/10.1037/0033-2909.118.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Perry, J., Lundie, D., & Golder, G. (in press). Metacognition in schools: What does the literature suggest about the effectiveness of teaching metacognition in schools?. Educational Review.

  • Peterson, R. A., & Merino, M. C. (2003). Consumer information search behavior and the internet. Psychology & Marketing,20, 99–121.

    Article  Google Scholar 

  • Phumeechanya, N., & Wannapiroon, P. (2014). Ubiquitous scaffold learning environment using problem-based learning to enhance problem-solving skills and context awareness. International Journal on Integrating Technology in Education,2(4), 23–33.

    Article  Google Scholar 

  • Puntambekar, S., & Hubscher, R. (2005). Tools for scaffolding students in a complex learning environment: What have we gained and what have we missed? Educational Psychologist,40(1), 1–12.

    Article  Google Scholar 

  • Quintana, C., & Zhang, M. (2005). Facilitating middle school students’ sense making process in digital libraries. In Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (pp. 19–20). Denver, USA: IEEE.

  • *Raes, A., Schellens, T., De Wever, B., & Vanderhoven, E. (2012). Scaffolding information problem solving in web-based collaborative inquiry learning. Computers & Education, 59(1), 82–94.

  • Reingold, R., Rimor, R., & Kalay, A. (2008). Instructor’s scaffolding in support of student’s metacognition through a teacher education online course: A case study. Journal of Interactive Online Learning,7(2), 139–151.

    Google Scholar 

  • Reiser, B. J. (2004). Scaffolding complex learning: The mechanisms of structuring and problematizing student work. Journal of the Learning Sciences,13(3), 273–304.

    Article  Google Scholar 

  • Riesen, T., McDonnell, J., Johnson, J. W., Polychronis, S., & Risen, T. (2002). Effects of embedded instruction on students with moderate disabilities enrolled in general education classes. Education and Training in Mental Retardation and Developmental Disabilities,34, 363–377.

    Google Scholar 

  • Roscoe, R. D., Grebitus, C., O’Brian, J., Johnson, A. C., & Kula, I. (2016). Online information search and decision making: Effects of web search stance. Computers in Human Behavior,56, 103–118.

    Article  Google Scholar 

  • Rosenthal, R., & DiMatteo, M. R. (2001). Meta-analysis: Recent developments in quantitative methods for literature reviews. Annual Review of Psychology,52(1), 59–82.

    Article  Google Scholar 

  • *Saito, H., & Miwa, K. (2007). Construction of a learning environment supporting learners’ reflection: A case of information seeking on the Web. Computers & Education, 49(2), 214–229.

  • Salen, K., & Zimmerman, E. (2006). The game design reader: A rules of play anthology. Cambridge, MA: MIT press.

    Google Scholar 

  • Sandall, S., McLean, M. E., & Smith, B. J. (2005). DEC recommended practices in early intervention/early childhood special education: A comprehensive guide for practical application. Longmont, CO: Sopris West.

    Google Scholar 

  • Saye, J. W., & Brush, T. (2002). Scaffolding critical reasoning about history and social issues in multimedia-supported learning environments. Educational Technology Research and Development, 50(3), 77–96. https://doi.org/10.1007/BF02505026.

    Article  Google Scholar 

  • Schacter, J., Chung, G. K., & Dorr, A. (1998). Children’s Internet searching on complex problems: Performance and process analyses. Journal of the Association for Information Science and Technology,49(9), 840–849.

    Google Scholar 

  • Schoenfeld, A. H. (2016). Learning to think mathematically: Problem solving, metacognition, and sense making in mathematics. Journal of Education,196(2), 1–38.

    Article  Google Scholar 

  • Scott, T. J., & O’Sullivan, M. K. (2005). Analyzing student search strategies: Making a case for integrating information literacy skills into the curriculum. Teacher Librarian,33(1), 21–25.

    Google Scholar 

  • Şendurur, E., & Yildirim, Z. (2015). Students’ web search strategies with different task types: an eye-tracking study. International Journal of Human-Computer Interaction, 31(2), 101–111. https://doi.org/10.1080/10447318.2014.959105.

    Article  Google Scholar 

  • Sharit, J., Hernandez, M. A., Czaja, S. J., & Pirolli, P. L. (2008). Investigating the roles of knowledge and cognitive abilities in older adult information seeking on the Web. ACM Transactions on Computer-Human Interaction,15(1), 3–28.

    Article  Google Scholar 

  • Singer, G., Norbisrath, U., & Lewandowski, D. (2013). Ordinary search engine users carrying out complex search tasks. Journal of Information Science,3, 346–358.

    Article  Google Scholar 

  • *Stadtler, M., & Bromme, R. (2007). Dealing with multiple documents on the WWW: The role of metacognition in the formation of documents models. International Journal of Computer-Supported Collaborative Learning, 2(2), 191–210.

  • *Stadtler, M., & Bromme, R. (2008). Effects of the metacognitive computer-tool met. a. ware on the web search of laypersons. Computers in Human Behavior, 24(3), 716–737.

  • Tabatabai, D., & Shore, B. M. (2005). How experts and novices search the web. Library & Information Science Research,27(2), 222–248.

    Article  Google Scholar 

  • Tauscher, L., & Greenberg, S. (1997). How people revisit web pages: Empirical findings and implications for the design of history systems. International Journal of Human-Computer Studies,47, 97–137.

    Article  Google Scholar 

  • Thillmann, H., Künsting, J., Wirth, J., & Leutner, D. (2009). Is it merely a question of “what” to prompt or also “when” to prompt? The role of point of presentation time of prompts in self-regulated learning. Zeitschrift für Pädagogische Psychologie,23(2), 105–115.

    Article  Google Scholar 

  • Tsai, M.-J., & Tsai, C.-C. (2003). Information searching strategies in web-based science learning: The role of Internet self-efficacy. Innovations in Education and Teaching International,40, 43–50.

    Article  Google Scholar 

  • *Tseng, J. C., Hwang, G. J., Tsai, P. S., & Tsai, C. C. (2009). Meta-analyzer: A web-based learning environment for analyzing student information searching behaviors. International Journal of Innovative Computing, Information and Control, 5(3), 567–579.

  • Turpin, A., & Scholer, F. (2006). User performance versus precision measures for simple search tasks. In Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval (pp. 11–18). ACM.

  • Van Merriënboer, J. J., Kirschner, P. A., & Kester, L. (2003). Taking the load off a learner's mind: Instructional design for complex learning. Educational psychologist, 38(1), 5–13. https://doi.org/10.1207/S15326985EP3801_2.

    Article  Google Scholar 

  • Veenman, M. V., & Beishuizen, J. J. (2004). Intellectual and metacognitive skills of novices while studying texts under conditions of text difficulty and time constraint. Learning and Instruction, 14(6), 621–640. https://doi.org/10.1016/j.learninstruc.2004.09.004.

    Article  Google Scholar 

  • Veenman, M. V., & Spaans, M. A. (2005). Relation between intellectual and metacognitive skills: Age and task differences. Learning and individual differences, 15(2), 159–176. https://doi.org/10.1016/j.lindif.2004.12.001.

    Article  Google Scholar 

  • Veenman, M. V., & Verheij, J. (2003). Technical students’ metacognitive skills: Relating general vs. specific metacognitive skills to study success. Learning and Individual Differences, 13(3), 259–272. https://doi.org/10.1016/S1041-6080(02)00094-8.

    Article  Google Scholar 

  • Veenman, M. V., Wilhelm, P., & Beishuizen, J. J. (2004). The relation between intellectual and metacognitive skills from a developmental perspective. Learning and Instruction, 14, 89–109. https://doi.org/10.1016/j.learninstruc.2003.10.004.

    Article  Google Scholar 

  • Vygotsky, L. S. (1978). Mind in society: The development of higher mental processes. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • *Walraven, A., Brand-Gruwel, S., & Boshuizen, H. P. (2013). Fostering students’ evaluation behaviour while searching the internet. Instructional Science, 41(1), 125–146.

  • *Wiley, J., Goldman, S. R., Graesser, A. C., Sanchez, C. A., Ash, I. K., & Hemmerich, J. A. (2009). Source evaluation, comprehension, and learning in Internet science inquiry tasks. American Educational Research Journal, 46(4), 1060–1106.

  • Wilson, T. D. (1999). Models in information behaviour research. Journal of Documentation,55(3), 249–270.

    Article  Google Scholar 

  • *Wolf, S. E., Brush, T., & Saye, J. (2003). Using an information problem-solving model as a metacognitive scaffold for multimedia-supported information-based problems. Journal of Research on Technology in Education, 35(3), 321–341.

  • *Wopereis, I., Brand-Gruwel, S., & Vermetten, Y. (2008). The effect of embedded instruction on solving information problems. Computers in Human Behavior, 24(3), 738-752.

  • *Zhang, M. (2013). Prompts-based scaffolding for online inquiry: Design intentions and classroom realities. Educational Technology & Society, 16(3), 140–151.

  • *Zhang, M., & Quintana, C. (2012). Scaffolding strategies for supporting middle school students’ online inquiry processes. Computers & Education, 58(1), 181–196.

  • Zhou, M. (2013). A systematic understanding of successful web searches in information-based tasks. Educational Technology & Society,16(1), 321–331.

    Google Scholar 

  • *Zion, M., Adler, I., & Mevarech, Z. (2015). The effect of individual and social metacognitive support on students’ metacognitive performances in an online discussion. Journal of Educational Computing Research, 52(1), 50–87.

  • Zohar, A., & Barzilai, S. (2013). A review of research on metacognition in science education: Current and future directions. Studies in Science Education,49(2), 121–169.

    Article  Google Scholar 

  • Zou, G. Y. (2007). Toward using confidence intervals to compare correlations. Psychological Methods, 12(4), 399–413. https://doi.org/10.1037/1082-989X.12.4.399.

    Article  Google Scholar 

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This study was funded by Multi-year Research Grant in University of Macau (Grant No. MYRG2018-00084-FED).

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  1. Faculty of Education, University of Macau, Av. Padre Tomas Pereira, Taipa, Macau SAR, China

    Mingming Zhou & Kelly Ka Lai Lam

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Zhou, M., Lam, K.K.L. Metacognitive scaffolding for online information search in K-12 and higher education settings: a systematic review. Education Tech Research Dev 67, 1353–1384 (2019). https://doi.org/10.1007/s11423-019-09646-7

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