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The adoption of mark-up tools in an interactive e-textbook reader

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Abstract

Researchers have more often examined whether students prefer using an e-textbook over a paper textbook or whether e-textbooks provide a better resource for learning than paper textbooks, but students’ adoption of mark-up tools has remained relatively unexamined. Drawing on the concept of Innovation Diffusion Theory, we used educational data mining techniques and survival analysis to examine time to adoption of highlights, notes, annotations, bookmarks, and questions in an interactive e-textbook reader. We found that the only tool that more than half of the participants used was highlighting. Students who purchased a printed copy of the textbook had longer average times to using notes and annotations. Because most of the more interactive tools were used by a relatively small number of students, regression modeling of the factors associated with tool usage was difficult. However, there was evidence that the likelihood of using the tools decreased as the semester progressed, and that students’ self-reported reading behaviors and grade point average were predictive of the time to using the mark-up tools. An interaction between bookmark usage and amount of reading was positively associated with course grades, suggesting that a strategy of bookmarking with frequent reading could assist students to learn content successfully. The implications of this research are that (1) instructors may need to more directly scaffold the adoption of interactive e-textbook tools that are touted as boosts to student learning and (2) promoting adoption early, shortly after students begin reading the e-textbook, is critical for students to acclimate to using the tool.

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Notes

  1. Although “hazard” is a technical term in survival analysis that is used when referring to the chance of an event occurring at a point in time, we will use the term “likelihood” in place of “hazard” to help the reader understand the findings in the following sections. But we will use “hazard ratio” (or its abbreviation “HR”) when we discussing how the covariates are related to the odds of an event occurring at a point in time.

References

  • Abdullah, N., & Gibb, F. (2008a). Students’ attitudes towards e-books in a Scottish higher education institute: part 1. Library Review, 57(8), 593–605.

    Article  Google Scholar 

  • Abdullah, N., & Gibb, F. (2008b). Students’ attitudes towards e-books in a Scottish higher education institute: Part 2: analysis of e-book usage. Library Review, 57(9), 676–689.

    Article  Google Scholar 

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

    Google Scholar 

  • Allison, P. D., & Institute, S. A. S. (2012). Survival analysis using SAS: A practical guide. Cary: SAS Institute.

    Google Scholar 

  • Azevedo, R. (2005). Using hypermedia as a metacognitive tool for enhancing student learning? The role of self-regulated learning. Educational Psychologist, 40(4), 199–209. doi:10.1207/s15326985ep4004_2.

    Article  Google Scholar 

  • Azevedo, R., & Hadwin, A. F. (2005). Scaffolding self-regulated learning and metacognition—Implications for the design of computer-based scaffolds. Instructional Science, 33(5), 367–379. doi:10.1007/s11251-005-1272-9.

    Article  Google Scholar 

  • Bahr, P. R. (2009). Educational attainment as process: Using hierarchical discrete-time event history analysis to model rate of progress. Research in Higher Education, 50(7), 691–714. doi:10.1007/s11162-009-9135-x.

    Article  Google Scholar 

  • Bannert, M., Hildebrand, M., & Mengelkamp, C. (2008). Effects of a metacognitive support device in learning environments. Computers in Human Behavior, 25(4), 829–835. doi:10.1016/j.chb.2008.07.002.

    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. doi:10.1016/j.acalib.2010.08.008.

    Article  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 

  • Buchanan, T., Sainter, P., & Saunders, G. (2013). Factors affecting faculty use of learning technologies: implications for models of technology adoption. Journal of Computing in Higher Education, 25(1), 1–11. doi:10.1007/s12528-013-9066-6.

    Article  Google Scholar 

  • Cassidy, E. D., Martinez, M., & Shen, L. (2012). Not in love, or not in the know? Graduate student and faculty use (and non-use) of e-books. The Journal of Academic Librarianship, 38(6), 326–332. doi:10.1016/j.acalib.2012.08.005.

    Article  Google Scholar 

  • Caverly, D. C., Orlando, V. P., & Mullen, J. L. (2000). Textbook study reading. In R. F. Filippo & D. C. Caverly (Eds.), Handbook of college reading and study strategy research (pp. 105–147). Mahwah: Lawrence Erlbaum Associates Publishers.

    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, 19(1), 32–60. doi:10.1080/08963568.2013.824338.

    Article  Google Scholar 

  • Dabbagh, N., & Kitsantas, A. (2005). Using web-based pedagogical tools as scaffolds for self-regulated learning. Instructional Science, 33(5–6), 513–540. doi:10.1007/s11251-005-1278-3.

    Article  Google Scholar 

  • Daniel, D. B., & Woody, W. D. (2013). E-textbooks at what cost? Performance and use of electronic v. print texts. Computers & Education62, 18–23. doi:10.1016/j.compedu.2012.10.016.

    Article  Google Scholar 

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340. doi:10.2307/249008.

    Article  Google Scholar 

  • Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475–487. doi:10.1006/imms.1993.1022.

    Article  Google Scholar 

  • Dillon, A., McKnight, C., & Richardson, J. (1988). Reading from paper versus reading from screen. The Computer Journal, 31(5), 457–464.

    Article  Google Scholar 

  • Fouh, E., Breakiron, D. A., Hamouda, S., Farghally, M. F., & Shaffer, C. A. (2014). Exploring students learning behavior with an interactive etextbook in computer science courses. Computers in Human Behavior, 41, 478–485. doi:10.1016/j.chb.2014.09.061.

    Article  Google Scholar 

  • Hardgrave, B. C., Davis, F. D., & Riemenschneider, C. K. (2003). Investigating determinants of software developers’ intentions to follow methodologies. Journal of Management Information Systems, 20(1), 123–151. doi:10.1080/07421222.2003.11045751.

    Google Scholar 

  • Hargittai, E. (2010). Digital na (t) ives? Variation in internet skills and uses among members of the “net generation”. Sociological Inquiry, 80(1), 92–113. doi:10.1111/j.1475-682X.2009.00317.x.

    Article  Google Scholar 

  • Helsper, E. J., & Eynon, R. (2010). Digital natives: where is the evidence? British Educational Research Journal, 36(3), 503–520. doi:10.1080/01411920902989227.

    Article  Google Scholar 

  • Henderson, C., Beach, A., & Finkelstein, N. (2011). Facilitating change in undergraduate STEM instructional practices: An analytic review of the literature. Journal of Research in Science Teaching, 48(8), 952–984. doi:10.1002/tea.20439.

    Article  Google Scholar 

  • Henderson, C., Finkelstein, N., & Beach, A. (2010). Beyond dissemination in college science teaching: An introduction to four core change strategies. Journal of College Science Teaching, 39(5), 18–25.

    Google Scholar 

  • Hernon, P., Hopper, R., Leach, M. R., Saunders, L. L., & Zhang, J. (2007). E-book use by students: Undergraduates in economics, literature, and nursing. The Journal of Academic Librarianship, 33(1), 3–13. doi:10.1016/j.acalib.2006.08.005.

    Article  Google Scholar 

  • Hora, M., & Holden, J. (2013). Exploring the role of instructional technology in course planning and classroom teaching: Implications for pedagogical reform. Journal of Computing in Higher Education, 25(2), 68–92. doi:10.1007/s12528-013-9068-4.

    Article  Google Scholar 

  • Hosmer, D. W., Lemeshow, S., & May, S. (1999). Applied survival analysis. Regression modeling of time-to-event data. New York: Wiley.

    Google Scholar 

  • Hyman, J. A., Moser, M. T., & Segala, L. N. (2014). Electronic reading and digital library technologies: Understanding learner expectation and usage intent for mobile learning. Educational Technology Research and Development,. doi:10.1007/s11423-013-9330-5.

    Google Scholar 

  • Ishitani, T. (2006). Studying attrition and degree completion behavior among first-generation college students in the United States. Journal of Higher Education, 77(5), 861–885. http://www.jstor.org/stable/3838790

  • Ishitani, T. (2008). How to explore timing of intervention for students at risk of departure. New Directions for Institutional Research., 2008(137), 105–122. doi:10.1002/ir.241.

    Article  Google Scholar 

  • Jairam, D., & Kiewra, K. A. (2010). Helping students soar to success on computers: An investigation of the SOAR study method for computer-based learning. Journal of Educational Psychology, 102(3), 601–614. doi:10.1037/a0019137.

    Article  Google Scholar 

  • Januszewski, A., Molenda, M., & Association for Educational Communications and Technology. (2008). Educational technology: A definition with commentary. New York: Lawrence Erlbaum Associates.

    Google Scholar 

  • Jao, C. S., Brint, S. U., & Hier, D. B. (2005). Making the neurology clerkship more effective: Can e-textbook facilitate learning? Neurological Research27(7), 762–767. doi:10.1179/016164105X35639.

    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. doi:10.1016/j.iheduc.2013.10.004.

    Article  Google Scholar 

  • Kauffman, D. F., Zhao, R., & Yang, Y. S. (2011). Effects of online note taking formats and self-monitoring prompts on learning from online text: Using technology to enhance self-regulated learning. Contemporary Educational Psychology, 36(4), 313–322. doi:10.1016/j.cedpsych.2011.04.001.

    Article  Google Scholar 

  • Kelly, S. (2010). An event history analysis of teacher attrition: Salary, teacher tracking, and socially disadvantaged schools. The Journal of Experimental Education, 72(3), 195–220.

    Article  Google Scholar 

  • Kiewra, K. A. (1989). A review of note-taking: The encoding-storage paradigm and beyond. Educational Psychology Review, 1, 147–172. doi:10.1007/BF01326640.

    Article  Google Scholar 

  • Kim, M., Yoo, K., Park, C., & Yoo, J. (2010). Development of a digital textbook standard format based on XML. Advances in Computer Science and Information Technology, 6059, 363–377. doi:10.1007/978-3-642-13577-4_32.

    Article  Google Scholar 

  • Kirschner, P. A., & van Merriënboer, J. J. (2013). Do learners really know best? Urban legends in education. Educational Psychologist, 48(3), 169–183. doi:10.1080/00461520.2013.804395.

    Article  Google Scholar 

  • Kissinger, J. (2013). The social & mobile learning experiences of students using mobile e-books. Journal of Asynchronous Learning Networks, 17(1), 155–170.

    Google Scholar 

  • Kozma, R. B. (1991). Learning with media. Review of educational research, 61(2), 179–211. doi:10.3102/00346543061002179.

    Article  Google Scholar 

  • Li, L., Chen, G., & Yang, S. (2013). Construction of cognitive maps to improve e-book reading and navigation. Computers & Education, 60(1), 32–39. doi:10.1016/j.compedu.2012.07.010.

    Article  Google Scholar 

  • Liang, T. H. (2015). The effects of keyword cues and 3R strategy on children’s e-book reading. Journal of Computer Assisted learning, 31(2), 176–187. doi:10.1111/jcal.12072.

    Article  Google Scholar 

  • Lund, T. J., & Stains, M. (2015). The importance of context: an exploration of factors influencing the adoption of student-centered teaching among chemistry, biology, and physics faculty. International Journal of STEM Education, 2(1), 1–21. doi:10.1186/s40594-015-0026-8.

    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. doi:10.1016/j.ijer.2012.12.002.

    Article  Google Scholar 

  • Merriam, S. B. (1998). Qualitative research and case study applications in education. San Francisco: Jossey-Bass.

    Google Scholar 

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

    Article  Google Scholar 

  • Mizrachi, D. (2015). Undergraduates’ academic reading format preferences and behaviors. The Journal of Academic Librarianship, 41(3), 301–311. doi:10.1016/j.acalib.2015.03.009.

    Article  Google Scholar 

  • Morrison, G. R., Ross, S. M., Kalman, H. K., & Kemp, J. E. (2013). Designing effective instruction. Hoboken: Wiley.

    Google Scholar 

  • Noyes, J., & Garland, K. (2005). Students’ attitudes toward books and computers. Computers in Human Behavior, 21(2), 233–241. doi:10.1016/j.chb.2004.02.016.

    Article  Google Scholar 

  • Noyes, J., & Garland, K. (2006). Explaining students’ attitudes toward books and computers. Computers in Human Behavior, 22(3), 351–363. doi:10.1016/j.chb.2004.09.004.

    Article  Google Scholar 

  • Pintrich, P. R. (1999). The role of motivation in promoting and sustaining self-regulated learning. International journal of educational research, 31(6), 459–470. doi:10.1016/S0883-0355(99)00015-4.

    Article  Google Scholar 

  • Pintrich, P. R. & Zusho, A. (2002). The development of academic self-regulation: The role of cognitive and motivational factors. In A. Wigfield & J. Eccles (Eds.) Development of Achievement Motivation (pp. 249–284). San Diego: Academic Press. doi:10.1016/B978-012750053-9/50012-7

  • Ponce, H. R., López, M. J., & Mayer, R. E. (2012). Instructional effectiveness of a computer-supported program for teaching reading comprehension strategies. Computers & Education, 59(4), 1170–1183. doi:10.1016/j.compedu.2012.05.013.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Rockinson-Szapkiw, A. J., Wendt, J., & Lunde, R. (2013b). Electronic versus print textbooks: the influence of textbook format on university students’ self-regulated learning strategies, motivation, and text anxiety. American Journal of Distance Education, 27(3), 179–188. doi:10.1080/08923647.2013.796230.

    Article  Google Scholar 

  • Rogers, E. M. (1995). Diffusion of innovations. New York: Free Press.

    Google Scholar 

  • Salmerόn, L., & García, V. (2011). Reading skills and children’s navigation strategies in hypertext. Computers in Human Behavior, 27(3), 1143–1151. doi:10.1016/j.chb.2010.12.008.

    Article  Google Scholar 

  • Scales, A., & Rhee, O. (2001). Adult reading habits and patterns. Reading Psychology, 22(3), 175–203. doi:10.1080/027027101753170610.

    Article  Google Scholar 

  • Schmid, R. F., Bernard, R., Borokhovski, E., Tamim, R., Abrami, P., Wade, C. A., et al. (2009). Technology’s effect on achievement in higher education: a stage I meta-analysis of classroom applications. Journal of Computing in Higher Education, 21(2), 95–109. doi:10.1007/s12528-009-9021-8.

    Article  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. doi:10.1080/00986280701818532.

    Article  Google Scholar 

  • Soifer, R., Irwin, M. E., Crumrine, B. M., Honzaki, E., Simmons, B. K., & Young, D. L. (1990). The complete theory-to-practice handbook of adult literacy: Curriculum design and teaching approaches. New York: Teachers College Press.

    Google Scholar 

  • Stone, R. W., & Baker-Eveleth, L. J. (2013). Students’ intentions to purchase electronic textbooks. Journal of Computing in Higher Education, 25(1), 27–47. doi:10.1016/j.chb.2012.12.007.

    Article  Google Scholar 

  • Sullivan, S. A., & Puntambekar, S. (2015). Learning with digital texts: exploring the impact of prior domain knowledge and reading comprehension ability on navigation and learning outcomes. Computers in Human Behavior, 50, 299–313. doi:10.1016/j.chb.2015.04.016.

    Article  Google Scholar 

  • Tamim, R. M., Bernard, R. M., Borokhovski, E., Abrami, P. C., & Schmid, R. F. (2011). What forty years of research says about the impact of technology on learning a second-order meta-analysis and validation study. Review of Educational Research, 81(1), 4–28. doi:10.3102/0034654310393361.

    Article  Google Scholar 

  • R Core Team (2014). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/

  • Terpend, R., Gattiker, T. F., & Lowe, S. E. (2014). Electronic textbooks: Antecedents of students’ adoption and learning outcomes. Decision Sciences Journal of Innovative Education12(2), 149–173. doi:10.1111/dsji.12031.

    Article  Google Scholar 

  • Van Horne, S., Schuh, K. L., & Russell, J. E. (in progress). College students’ and instructors’ usage of interactive e-textbooks.

  • Wang, S. K., Hsu, H. Y., Campbell, T., Coster, D. C., & Longhurst, M. (2014). An investigation of middle school science teachers and students use of technology inside and outside of classrooms: considering whether digital natives are more technology savvy than their teachers. Educational Technology Research and Development, 62(5), 637–662. doi:10.1007/s11423-014-9355-4.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Winne, P. H., & Hadwin, A. F. (1998). Studying as self-regulated learning. Metacognition in educational theory and practice, 93, 27–30.

    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. doi: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. doi:10.1371/journal.pone.0073336.

    Article  Google Scholar 

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Acknowledgments

The authors would like to acknowledge the Consortium of College and University Media Centers, who awarded the authors a research grant that funded some of the expenses related to this research study.

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Van Horne, S., Russell, Je. & Schuh, K.L. The adoption of mark-up tools in an interactive e-textbook reader. Education Tech Research Dev 64, 407–433 (2016). https://doi.org/10.1007/s11423-016-9425-x

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