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Visualizing Revision: Leveraging Student-Generated Between-Draft Diagramming Data in Support of Academic Writing Development

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Abstract

Once writers complete a first draft, they are often encouraged to evaluate their writing and prioritize what to revise. Yet, this process can be both daunting and difficult. This study looks at how students used a semantic concept mapping tool to re-present the content and organization of their initial draft of an informational text. We examine the processes of students at two different schools as they remediated their own texts and how those processes impacted the development of their rhetorical, conceptual, and communicative capacities. Our analysis suggests that students creating visualizations of their completed first drafts scaffolded self-evaluation. The mapping tool aided visualization by converting compositions into discrete persistent visual data elements that represented concepts and connections. This often led to students’ meta-awareness of what was missing or misaligned in their draft. Our findings have implications for how students approach, educators perceive, and designers support the drafting and revision process.

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References

  • Allal, L., Chanquoy, L., & Largy, P. (2004). Revision cognitive and instructional processes: Cognitive and instructional processes. New York: Springer. doi:10.1007/978-94-007-1048-1.

    Book  Google Scholar 

  • Allison, P. (2009). Be a blogger: Social networking in the classroom. In A. Herrington, K. Hodgson, & C. Moran (Eds.), Teaching the new writing: Technology, change, and assessment in the 21st century classroom (pp. 75–91). New York, NY: Teachers College Press.

    Google Scholar 

  • Alvermann, D. E., Boothby, P. R., & Wolfe, J. (1984). The effect of graphic organizer research on fourth graders’ comprehension and recall of social studies text. Journal of Social Sciences Research, 8, 13–21.

    Google Scholar 

  • Andrade, G. H. (2001). The effects of instructional rubrics on learning to write. Current Issues in Education, 4(4), 1–21. Retrieved from http://cie.asu.edu/ojs/index.php/cieatasu/article/view/1630.

  • Anfara, V. A., Brown, K. M., & Mangione, T. L. (2002). Qualitative analysis on stage: Making the research process more public. Educational Researcher, 31, 28–38.

    Article  Google Scholar 

  • Applebee, A., & Langer, J. (2006). The state of writing instruction in America’s schools: What existing data tell us. Albany, NY: Center on English Learning and Achievement, University at SUNY, Albany. http://www.albany.edu/cela/reports.html.

  • Atwell, N. (2014). In the middle: A lifetime of learning about writing, reading, and adolescents (3rd ed.). Portsmouth, NH: Heinemann.

    Google Scholar 

  • Ausubel, D. (1963). The psychology of meaningful verbal learning. New York, NY: Grune & Stratton.

    Google Scholar 

  • Ausubel, D. (1978). In defense of advance organizers: A Reply to the critics. Review of Educational Research, 48, 251–257.

    Article  Google Scholar 

  • Ausubel, D., Novak, J., & Hanesian, H. (1978). Educational psychology: A cognitive view. New York, NY: Holt, Rinehart & Winston.

    Google Scholar 

  • Beach, R., & Friedrich, T. (2006). Response to writing. In C. Macarthur, S. Graham, & J. Fitzgerald (Eds.), Handbook of writing research (pp. 222–234). New York, NY: Guilford.

    Google Scholar 

  • Beason, L. (1993). Feedback and revision in writing across the curriculum classes. Research in the Teaching of English, 27, 395–422.

    Google Scholar 

  • Beck, S. W. (2009). Individual goals and academic literacy: Integrating authenticity and explicitness. English Education, 41, 259–280.

    Google Scholar 

  • Bereiter, C., & Scardamalia, M. (1987). The psychology of written composition. Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Berkenkotter, C. (1981). Understanding a writer’s awareness of audience. College Composition and Communication, 32, 388–391.

    Article  Google Scholar 

  • Boothby, P. R., & Alvermann, D. E. (1984). A classroom training study: The effects of graphic organizer instruction on fourth graders’ comprehension. Reading World, 23, 325–339.

    Article  Google Scholar 

  • Carroll, J. A. (1991). Drawing into meaning: A powerful writing tool. English Journal, 80, 34–38.

    Article  Google Scholar 

  • Cetina, K. K. (1999). Epistemic cultures: How the sciences make knowledge. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Cho, K., & MacArthur, C. (2010). Student revision with peer and expert reviewing. Learning and Instruction, 20, 328–338.

    Article  Google Scholar 

  • Cope, B., Kalantzis, M., Abd-El-Khalick, F., & Bagley, E. (2013). Science in writing: Learning scientific argument in principle and practice. E-Learning and Digital Media, 10, 420–441.

    Article  Google Scholar 

  • Cope, B., Kalantzis, M., & Magee, L. (2011). Towards a semantic web: Connecting knowledge in academic research. Cambridge: Woodhead.

    Book  Google Scholar 

  • Dalton, D. W., & Hannafin, M. J. (1987). The effects of word processing on written composition. The Journal of Educational Research, 80, 338–342.

    Article  Google Scholar 

  • De La Paz, S., & Graham, S. (2002). Explicitly teaching strategies, skills, and knowledge: Writing instruction in middle school classrooms. Journal of Educational Psychology, 94, 687–698.

    Article  Google Scholar 

  • de Smet, M. J. R., Broekkamp, H., Brand-Gruwel, S., & Kirschner, P. A. (2011). Effects of electronic outlining on students’ argumentative writing performance. Journal of Computer Assisted learning, 27, 557–574. doi:10.1111/j.1365-2729.2011.00418.x.

    Article  Google Scholar 

  • Delyser, D. (2003). Teaching graduate students to write: A seminar for thesis and dissertation writers. Journal of Geography in Higher Education, 27, 169–181. doi:10.1080/03098260305676.

    Article  Google Scholar 

  • Driver, R., Newton, P., & Osborne, J. (2000). Establishing the norms of scientific argumentation in classrooms. Science Education, 84, 287–312.

    Article  Google Scholar 

  • Dybdahl, C. S., Shaw, D. G., & Blahous, E. (1997). The impact of the computer on writing: No simple answers. Computers in the Schools, 13, 41–53. doi:10.1300/J025v13n03_05.

    Article  Google Scholar 

  • Dyson, A. H. (2006). On saying it right (write): “Fix-its” in the foundations of learning to write. Research in the Teaching of English, 41, 8–42.

    Google Scholar 

  • Ellis, M. J. (2011). Peer feedback on writing: Is online better than on-paper? Journal of Academic Language and Learning, 5(1), A88–A99.

    Google Scholar 

  • Emerson, R. M. (1995). Writing ethnographic fieldnotes. Chicago, IL: University of Chicago Press.

    Book  Google Scholar 

  • Emig, J. (1977). Writing as a mode of learning. College Composition and Communication, 28, 122–128.

    Article  Google Scholar 

  • Engelmann, T., & Hesse, F. W. (2010). How digital concept maps about the collaborators’ knowledge and information influence computer-supported collaborative problem solving. International Journal of Computer Supported Collaborative Learning, 5, 299–319.

    Article  Google Scholar 

  • Flower, L., & Hayes, J. R. (1981). A cognitive process theory of writing. College Composition and Communication, 32, 365–387.

    Article  Google Scholar 

  • Flower, L., Hayes, J. R., Carey, L., Schriver, K., & Stratman, J. (1986). Detection, diagnosis, and the strategies of revision. College Composition and Communication, 37, 16–55.

    Article  Google Scholar 

  • Gee, J. P. (2004). Language in the science classroom: Academic social languages as the heart of school-based literacy. In E. W. Saul (Ed.), Crossing borders in literacy and science instruction (pp. 13–32). Arlington, VA: NSTA Press.

    Google Scholar 

  • Gee, J. P. (2005). An introduction to discourse analysis: Theory and method (2nd ed.). New York, NY: Routledge.

    Google Scholar 

  • Gere, A. R., & Abbott, R. D. (1985). Talking about writing: The language of writing groups. Research in the Teaching of English, 19, 362–385.

    Google Scholar 

  • Godley, A., DeMartino, S., & Loretto, A. (2014). Peer review of writing in high school: Relationships between peer feedback, reviewing peers’ essays, and revision practices. Paper presented at the annual meeting of the American Educational Research Association. Philadelphia, PA, USA.

  • 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, 1–52.

    Google Scholar 

  • Grotzer, T. (2009). Learning to reason about evidence and explanations: Promising directions in education. In E. Callan, T. Grotzer, J. Kagan, R. E. Nisbett, D. N. Perkins, & L. S. Shulman (Eds.), Education and a civil society: Teaching evidence-based decision making (pp. 51–74). Washington, DC: American Academy of Arts and Sciences.

    Google Scholar 

  • Halverson, E. R., & Magnifico, A. M. (2013). Bidirectional artifact analysis: A method for analyzing digitally mediated creative processes. In R. Luckin, S. Puntambekar, P. Goodyear, B. L. Grabowski, J. Underwood, & N. Winters (Eds.), Handbook of design in educational technology (pp. 406–415). New York, NY: Routledge.

    Google Scholar 

  • Hayes, J. R. (1996/2001). A new framework for understanding cognition and affect in writing. In E. Cushman, E. R. Kintgen, B. M. Kroll, & M. Rose (Eds.), Literacy, a critical sourcebook (pp. 172–198). Boston, MA: Bedford/St. Martin (reprinted from The Science of Writing, by M. Levy and S. Ransdell, Eds., 1996, Mahwah, NJ: Lawrence Erlbaum Associates).

  • Hayes, J. R., & Chenoweth, N. A. (2006). Is working memory involved in the transcribing and editing of texts? Written Communication, 23, 135–149.

    Article  Google Scholar 

  • Hillocks, G. (1986). Research on written composition: new directions for teaching. New York: National Conference on Research in English.

  • Huang, J., White, R. W., & Dumais, S. (2011). No clicks, no problem: Using cursor movements to understand and improve search. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 1225–1234). New York, NY, USA.

  • Kalantzis, M., & Cope, B. (2012). Literacies. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Kittle, P. (2008). Write beside them: Risk, voice, and clarity in high school writing. Portsmouth, NH: Heinemann.

    Google Scholar 

  • Kline, S. M. (2015). Unequal and inequitable: Re-mediating literacy online in two language arts classes. Paper presented at the annual meeting of the American Educational Research Association. Chicago, IL, USA.

  • LeCompte, M. D., & Preissle, J. (1993). Ethnography and qualitative design in educational research (2nd ed.). San Diego, CA: Academic Press.

    Google Scholar 

  • Lessard-Clouston, M. (1995). Revision in ESL writing tutorials: A case study. ELI Teaching: A Journal of Theory and Practice, 19, 20–28.

    Google Scholar 

  • Limpo, T., Alves, R. A., & Fidalgo, R. (2014). Children’s high-level writing skills: Development of planning and revising and their contribution to writing quality. British Journal of Educational Psychology, 84(2), 177–193.

    Article  Google Scholar 

  • MacArthur, C. A. (2006). The effects of new technologies on writing and writing processes. In C. A. MacArthur, S. Graham, & J. Fitzgerald (Eds.), Handbook of writing research (pp. 248–262). New York, NY: The Guilford Press.

    Google Scholar 

  • Magnifico, A. M., & Halverson, E. R. (2012). Bidirectional artifact analysis: A method for analyzing creative processes. In J. van Aalst, K. Thompson, M. J. Jacobson, & P. Reimann (Eds.), The future of learning: Proceedings of the 10th international conference of the learning sciences (pp. 276–280). Sydney: International Society of the Learning Sciences.

    Google Scholar 

  • Magnifico, A. M., Woodard, R. L., & McCarthey, S. J. (2014). A Bakhtinian framework for understanding teachers’ initiating texts, peer response, and revision. Paper presented at the Literacy Research Association annual conference, Marco Island, FL, USA.

  • McCutchen, D. (2000). Knowledge, processing, and working memory: Implications for a theory of writing. Educational Psychologist, 35, 13–23.

    Article  Google Scholar 

  • Myhill, D., & Jones, S. (2007). More than just error correction: Students’ perspectives on their revision processes during writing. Written Communication, 24, 323–343. doi:10.1177/0741088307305976.

    Article  Google Scholar 

  • Negretti, R. (2012). Metacognition in student academic writing: A longitudinal study of metacognitive awareness and its relation to task perception, self-regulation, and evaluation of performance. Written Communication, 29, 142–179. doi:10.1177/0741088312438529.

    Article  Google Scholar 

  • Newkirk, T. (2014). Minds made for stories: How we really read and write informational and persuasive texts. Portsmouth, NH: Heinemann.

    Google Scholar 

  • Novak, J. D. (2010). Learning, creating and using knowledge: Concept maps as facilitative tools in schools and corporations. New York, NY: Routledge.

    Google Scholar 

  • Novak, J. D., & Cañas, A. J. (2008). The theory underlying concept maps and how to construct and use them: Report from the Institute for Human and Machine Cognition. Technical report no. IHMC CmapTools 2006-01 Rev 2008-01. http://cmap.ihmc.us/docs/theory-of-concept-maps.

  • Novak, J. D., & Gowin, D. B. (1984). Learning how to learn. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Olmanson, J., & Abrams, S. S. (2013). Constellations of support and impediment: Understanding early implementation dynamics in the research and development of an online multimodal writing and peer review environment. E-Learning and Digital Media, 10, 357–377.

    Article  Google Scholar 

  • Pea, R., & Kurland, D. (1987). Cognitive technologies for writing. Review of Research in Education, 14, 277–326.

    Google Scholar 

  • Pinto, M., Fernandez-Ramos, A., & Doucet, V. (2010). Measuring students’ information skills through concept mapping. Journal of Information Science, 36, 464–480.

    Article  Google Scholar 

  • Prior, P. (2008). A sociocultural theory of writing. In C. A. MacArthur, S. Graham, & J. Fitzgerald (Eds.), Handbook of writing research (pp. 54–66). New York, NY: The Guilford Press.

    Google Scholar 

  • Prior, P., & Hengst, J. (2010). Exploring semiotic remediation as discourse practice. New York, NY: Palgrave Macmillan.

    Book  Google Scholar 

  • Reynolds, S. B., & Hart, J. (1990). Cognitive mapping and word processing: Aids to story revision. The Journal of Experimental Education, 58, 273–279.

    Article  Google Scholar 

  • Rice, D., Ryan, J., & Samson, S. (1998). Using concept maps to assess student learning in the science classroom: Must different methods compete? Journal of Research in Science Teaching, 35, 1103–1127.

    Article  Google Scholar 

  • Rijlaarsdam, G., & van den Bergh, H. (2006). Writing process theory. In C. A. MacArthur, S. Graham, & J. Fitzgerald (Eds.), Handbook of writing research (pp. 41–53). New York, NY: Guilford Press.

    Google Scholar 

  • Romrell, D., Kidder, L. C., & Wood, E. (2014). The SAMR model as a framework for evaluating mlearning. Online Learning, 18(2). Retrieved from http://olj.onlinelearningconsortium.org/index.php/olj/article/view/435/105.

  • Scholes, R., & Comely, N. R. (1985). The practice of writing. New York, NY: St. Martin’s.

    Google Scholar 

  • Sommers, N. (1980). Revision strategies of student writers and experienced adult writers. College Composition and Communication, 31, 378–388.

    Article  Google Scholar 

  • Spandel, V. (2006). In defense of rubrics. English Journal, 96, 19–22.

    Article  Google Scholar 

  • Spradley, J. P. (1980). Participant observation. New York, NY: Holt, Rinehart and Winston.

    Google Scholar 

  • Strauss, A. L., & Corbin, J. M. (1998). Basics of qualitative research. Los Angeles, CA: Sage.

    Google Scholar 

  • Sturm, J. M., & Rankin-Erickson, J. L. (2002). Effects of hand-drawn and computer-generated concept mapping on the expository writing of middle school students with learning disabilities. Learning Disabilities Research & Practice, 17, 124–139.

    Article  Google Scholar 

  • Tergan, S.-O. (2005). Digital concept maps for managing knowledge and information. In S.-O. Tergan & T. K. Berlin (Eds.), Knowledge and information visualization (pp. 185–204). Tübingen: Springer.

    Chapter  Google Scholar 

  • Van Gog, T. (2007). Data collection and analysis. In D. Jonassen, M. J. Spector, M. Driscoll, M. D. Merrill, & J. van Merrienboer (Eds.), Handbook of research for educational communications and technology. New York, NY: Lawrence Erlbaum.

    Google Scholar 

  • Weiss, R. S. (1994). Learning from strangers: The art and method of qualitative interview studies. New York, NY: Free Press.

    Google Scholar 

  • Witte, S. D. (2013). Preaching what we practice: A study of revision. Journal of Curriculum and Instruction, 6, 36.

    Article  Google Scholar 

  • Wolcott, H. F. (2005). The art of fieldwork (2nd ed.). Walnut Creek, CA: Altamira Press.

    Google Scholar 

  • Woodard, R. L., Magnifico, A. M., & McCarthey, S. J. (2013). Supporting teacher metacognition about formative writing assessment in online environments. E-Learning & Digital Media, 10, 442–469.

  • Zheng, B., Lawrence, J., Warschauer, M., & Lin, C.-H. (2014). Middle school students’ writing and feedback in a cloud-based classroom environment. Technology, Knowledge and Learning, 20, 201–229. doi:10.1007/s10758-014-9239-z.

    Article  Google Scholar 

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Acknowledgments

The research reported here was supported in part by the Institute of Education Sciences, US Department of Education, US Department of Education Institute of Education Sciences: ‘The Assess-as-You-Go Writing Assistant: a student work environment that brings together formative and summative assessment’ (R305A090394); ‘Assessing Complex Performance: A Postdoctoral Training Program Researching Students’ Writing and Assessment in Digital Workspaces’ (R305B110008); ‘u-Learn.net: An Anywhere/Anytime Formative Assessment and Learning Feedback Environment’ (ED-IES-10-C-0018); ‘The Learning Element: A Lesson Planning and Curriculum Documentation Tool for Teachers’ (ED-IES-lO-C-0021); and ‘InfoWriter: A Student Feedback and Formative Assessment Environment for Writing Information and Explanatory Texts’ (ED-IES-13-C-0039). Scholar is located at http://CGScholar.com. The opinions expressed are those of the authors and do not represent views of the Institute or the US Department of Education.

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Olmanson, J., Kennett, K., Magnifico, A. et al. Visualizing Revision: Leveraging Student-Generated Between-Draft Diagramming Data in Support of Academic Writing Development. Tech Know Learn 21, 99–123 (2016). https://doi.org/10.1007/s10758-015-9265-5

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