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E-textbook as object and mediator: interactions between instructor and student activity systems

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Abstract

In this paper, we discuss the activity systems of students and instructors who used an interactive e-textbook in their instructional activities. Data included instructor interviews and student journals about e-textbook use in eight university courses. Exploration of the data through a cultural-historical activity theory lens indicated that e-textbook use can be limited when students act on it merely as an object without any intentional goal. Without requirements by the instructor, the embedded tools in the e-textbook may do little to support the student activity in the system. In addition, many instructors, as well, approached the e-textbook as an object, and a number of them did not include the e-textbook in their own activity systems. Considering the e-textbook as a mediating tool to address other goals (such as completing an assignment) or to support instructional decisions by faculty through developed awareness of students’ understandings, positioned the e-textbook as a mediator of learning, rather than an object on which to act. We end our discussion pointing to the need for an expansive transformation regarding the use of e-textbooks so they may be positioned as new kinds of mediating tools for learning.

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References

  • Ackerman, R., & Goldsmith, M. (2011). Metacognitive regulation of text learning: On screen versus on paper. Journal of Experimental Psychology: Applied, 17(1), 18–32. https://doi.org/10.1037/a0022086.

    Google Scholar 

  • Angeli, C., & Valanides, N. (2009). Epistemological and methodological issues for the conceptualization, development, and assessment of ICT–TPCK: Advances in technological pedagogical content knowledge (TPCK). Computers & Education, 52(1), 154–168.

    Article  Google Scholar 

  • Baker-Eveleth, L., & Stone, R. W. (2015). Usability, expectation, confirmation, and continuance intentions to use electronic textbooks. Behaviour & Information Technology, 34(10), 992–1004. https://doi.org/10.1080/0144929X.2015.1039061.

    Article  Google Scholar 

  • Berg, S. A., Hoffmann, K., & Dawson, D. (2010). Not on the same page: Undergraduates’ information retrieval in electronic and print books. The Journal of Academic Librarianship, 36(6), 518–525.

    Article  Google Scholar 

  • Bransford, J. D., Brown, A. L., & Cocking, R. R. (Eds.). (1999). How people learn: Brain, mind, experience, and school. Washington, DC: National Academy Press.

    Google Scholar 

  • Brunet, D. P., Bates, M. L., Gallo, J. R., & Strother, E. A. (2011). Incoming dental students’ expectations and acceptance of an electronic textbook program. Journal of Dental Education, 75(5), 646–652.

    Google Scholar 

  • Celik, I., Sahin, I., & Akturk, A. O. (2014). Analysis of the relations among the components of technological pedagogical and content knowledge (TPACK): A structural equation model. Journal of Educational Computing Research, 51(1), 1–22.

    Article  Google Scholar 

  • Cuillier, C. A., & Dewland, J. C. (2014). Understanding the key factors for E-textbook integration into a business course: A case study. Journal of Business & Finance Librarianship. https://doi.org/10.1080/08963568.2013.824338.

    Google Scholar 

  • Daniel, D. B., & Woody, W. D. (2013). E-textbooks at what cost? Performance and use of electronic v. print texts. Computers & Education, 62, 18–23. https://doi.org/10.1016/j.compedu.2012.10.016.

    Article  Google Scholar 

  • Dennis, A., Abaci, S., Morrone, A., Plaskoff, J., & McNamara, K. (2016). Effects of e-textbook instructor annotations on learner performance. Journal of Computing in Higher Education. https://doi.org/10.1007/s12528-016-9109-x.

    Google Scholar 

  • Engeström, Y. (1999). Activity theory and individual and social transformation. In Y. Engeström, R. Miettinen, & R. Punamäki (Eds.), Perspectives on activity theory (pp. 19–38). Cambridge: Cambridge University Press.

    Chapter  Google Scholar 

  • Engeström, Y. (2001) Expansive learning at work: Toward an activity theoretical reconceptualization. Journal of Education and Work, 14(1), 133–156. https://doi.org/10.1080/13639080020028747.

    Article  Google Scholar 

  • Jao, C. S., Brint, S. U., & Hier, D. B. (2005). Making the neurology clerkship more effective: Can e-textbook facilitate learning? Neurological Research, 27(7), 762–767.

    Article  Google Scholar 

  • Ji, S. W., Michaels, S., & Waterman, D. (2014). Print vs. electronic readings in college courses: Cost-efficiency and perceived learning. The Internet and Higher Education, 21, 17–24. https://doi.org/10.1016/j.iheduc.2013.10.004.

    Article  Google Scholar 

  • Junco, R., & Clem, C. (2015). Predicting course outcomes with digital textbook usage data. The Internet and Higher Education, 27, 54–63.

    Article  Google Scholar 

  • Kinchin, I. (2012). Avoiding technology-enhanced non-learning. British Journal of Educational Technology, 43(2), E43–E48. https://doi.org/10.1111/j.1467-8535.2011.01264.x.

    Article  Google Scholar 

  • Koh, J. H. L., & Chai, C. S. (2016). Seven design frames that teachers use when considering technological pedagogical content knowledge (TPACK). Computers & Education, 102, 244–257.

    Article  Google Scholar 

  • Kozulin, A. (2003). Psychological tools and mediated learning. In A. Kozulin, B. Gindis, V. S. Ageyev, & S. M. Miller (Eds.), Vygotsky’s educational theory in cultural context (pp. 15–38). New York, NY: Cambridge University Press.

    Chapter  Google Scholar 

  • Lauterman, T., & Ackerman, R. (2014). Overcoming screen inferiority in learning and calibration. Computers in Human Behavior, 35, 455–463. https://doi.org/10.1016/j.chb.2014.02.046.

    Article  Google Scholar 

  • Mangen, A., Walgermo, B. R., & Brønnick, K. (2013). Reading linear texts on paper versus computer screen: Effects on reading comprehension. International Journal of Educational Research, 58, 61–68. https://doi.org/10.1016/j.ijer.2012.12.002.

    Article  Google Scholar 

  • Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis (2nd ed.). Thousand Oaks, CA: SAGE Publications Inc. ISBN-13: 978-0803955400.

    Google Scholar 

  • Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054.

    Article  Google Scholar 

  • Nardi, B. A., Whittaker, S., & Schwarz, H. (2002). Networkers and their activity in intensional networks. Computer Supported Cooperative Work, 11, 205–242.

    Article  Google Scholar 

  • Norman, E., & Furnes, B. (2016). The relationship between metacognitive experiences and learning: Is there a difference between digital and non-digital study media? Computers in Human Behavior, 54, 301–309. https://doi.org/10.1016/j.chb.2014.02.046.

    Article  Google Scholar 

  • Prawat, R. S., & Floden, R. E. (1994). Philosophical perspectives on constructivist views of learning. Educational Psychologist, 29(1), 37–48.

    Article  Google Scholar 

  • Rockinson-Szapkiw, A. J., Courduff, J., Carter, K., & Bennett, D. (2013). Electronic versus traditional print textbooks: A comparison study on the influence of university students’ learning. Computers & Education, 63, 259–266. https://doi.org/10.1016/j.compedu.2012.11.022.

    Article  Google Scholar 

  • Sawyer, R. K. (2006). Introduction: The new science of learning. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 1–16). New York, NY: Cambridge University Press.

    Google Scholar 

  • Schul, J. E. (2012). Compositional encounters: Evolvement of secondary students’ narratives while making historical desktop documentaries. The Journal of Social Studies Education, 36(3), 219–244.

    Google Scholar 

  • Shepperd, J. A., Grace, J. L., & Koch, E. J. (2008). Evaluating the electronic textbook: Is it time to dispense with the paper text? Teaching of Psychology, 35(1), 2–5.

    Article  Google Scholar 

  • Siebenbruner, J. (2011). Electronic versus traditional textbooks: A comparison of college textbook formats. Journal on Excellence in College Teaching, 22(3), 75–92.

    Google Scholar 

  • Stone, R., & Baker-Eveleth, Lori. (2013). Students’ expectation, confirmation, and continuance intention to use electronic textbooks. Computers in Human Behavior, 29(3), 984–990. https://doi.org/10.1016/j.chb.2012.12.007.

    Article  Google Scholar 

  • Strauss, A., & Corbin, J. (1998). Basics of qualitative research: Techniques and procedures for developing grounded theory (2nd ed.). Thousand Oaks, CA: Sage Publications.

    Google Scholar 

  • Terpend, R., Gattiker, T. F., & Lowe, S. E. (2014). Electronic textbooks: Antecedents of students’ adoption and learning outcomes. Decision Sciences Journal of Innovative Education. https://doi.org/10.1111/dsji.12031.

    Google Scholar 

  • Van Horne, S., Russell, J.-E., & Schuh, K. L. (2015). Assessment with e-textbook analytics., Research Bulletins Louisville, CO: EDUCAUSE Center for Analysis and Research (ECAR).

    Google Scholar 

  • Van Horne, S., Russell, J.-E., & Schuh, K. L. (2016). The adoption of mark-up tools in an interactive e-textbook reader. Educational Technology Research and Development. https://doi.org/10.1007/s11423-016-9425-x.

    Google Scholar 

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

    Google Scholar 

  • Wells, G. (2002). The role of dialogue in activity theory. Mind, Culture, and Activity, 9(1), 43–66. https://doi.org/10.1207/S15327884MCA0901_04.

    Article  Google Scholar 

  • Winne, P. H. (2010). Improving measurements of self-regulated learning. Educational Psychologist, 45(4), 267–276. https://doi.org/10.1080/00461520.2010.517150.

    Article  Google Scholar 

  • Wolcott, H. F. (2001). Writing up qualitative research. Thousand Oaks, CA: Sage Publications.

    Google Scholar 

  • Woody, W. D., Daniel, D. B., & Baker, C. A. (2010). E-books or textbooks: Students prefer textbooks. Computers & Education, 55(3), 945–948. https://doi.org/10.1016/j.compedu.2010.04.005.

    Article  Google Scholar 

  • Worm, B. S. (2013). Learning from simple ebooks, online cases or classroom teaching when acquiring complex knowledge. A randomized controlled trial in respiratory physiology and pulmonology. PLoS ONE, 8(9), e73336. https://doi.org/10.1371/journal.pone.0073336.

    Article  Google Scholar 

  • Yamagata-Lynch, L. C. (2010). Activity systems analysis methods: Understanding complex learning environments. New York, NY: Springer.

    Book  Google Scholar 

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Acknowledgements

The authors would like to acknowledge the support of the Consortium of College and University Media Centers, who provided an award that supported the research study.

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Correspondence to Kathy L. Schuh.

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Schuh, K.L., Van Horne, S. & Russell, Je. E-textbook as object and mediator: interactions between instructor and student activity systems. J Comput High Educ 30, 298–325 (2018). https://doi.org/10.1007/s12528-018-9174-4

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