Facilitating adoption of an interactive e-textbook among university students in a large, introductory biology course
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Abstract
E-textbooks are more prevalent in college courses, but much recent research still shows that students prefer paper textbooks and have difficulty regulating their learning with digital course materials. Still, college instructors—especially in lower-division STEM courses—often adopt digital course materials with e-textbooks that include a variety of metacognitive supports that students may not use. The purpose of this study was to test whether an intervention that drew upon the principles of the Technology Acceptance Model could facilitate better adoption of an interactive e-textbook in a large, introductory biology course. Participants included 239 undergraduate students from laboratory sections that were randomly assigned to a treatment or control group. The treatment group viewed a video detailing the most beneficial ways to interact with an e-textbook. A pre- and post-test were administered to the participants in both groups. The treatment group had higher overall satisfaction, on average, with the e-textbook than the control group but did not report using the interactive tools more often. The implications for instruction with digital course materials are discussed.
Keywords
E-textbook Learning with educational technology STEM Digital course materialsNotes
Acknowledgements
The authors acknowledge Professor Byrant McAllister, who assisted with the creation of the video and helped the researchers by providing access to a population of research participants. Dr. Brenda Leicht also helped us coordinate the recruitment of research subjects. John Gikonyo, a Student Instructional Technology Assistant, helped with the recording of the video. Amanda J. O. Van Horne provided assistance with video editing, and Kirk Batterson assisted with the production of the figure. Lastly, the authors acknowledge the support of the Iowa Center for Research by Undergraduates, who supported Marisa Henze’s participation in this project.
Compliance with ethical standards
Conflict of interest
The authors of this research study do not have any conflicts of interest related to this project. All research procedures in this study were approved by the Institutional Review Board, and all participants consented to participate in the research study according to the procedures approved by the IRB.
Supplementary material
Supplementary material 1 (MP4 408284 kb)
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. doi: 10.1037/a0022086.Google Scholar
- Ackerman, R., & Lauterman, T. (2012). Taking reading comprehension exams on screen or on paper? A metacognitive analysis of learning texts under time pressure. Computers in Human Behavior, 28(5), 1816–1828. doi: 10.1016/j.chb.2012.04.023.CrossRefGoogle Scholar
- Baker-Eveleth, L., & Stone, R. W. (2015). Usability, expectation, confirmation, and continuance intentions to use electronic textbooks. Behavior & Information Technology, 34(10), 992–1004. doi: 10.1080/0144929X.2015.1039061.CrossRefGoogle Scholar
- Barab, S., & Squire, K. (2004). Introduction: Design-based research: Putting a stake in the ground. The Journal of the Learning Sciences, 13(1), 1–14. doi: 10.1207/s15327809jls1301_1.CrossRefGoogle 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.CrossRefGoogle Scholar
- Brown, A. L. (1992). Design experiments: Theoretical and methodological challenges in creating complex interventions in classroom settings. The Journal of the Learning Sciences, 2(2), 141–178. doi: 10.1207/s15327809jls0202_2.CrossRefGoogle 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
- Caverly, D. C., Orlando, V. P., & Mullen, J. L. (2000). Textbook study reading. In R. F. Flippo & D. C. Caverly (Eds.), Handbook of college reading and study strategy research (pp. 105–147). Mahwah, NJ: 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. doi: 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. doi: 10.1016/j.compedu.2012.10.016.CrossRefGoogle Scholar
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. doi: 10.2307/249008.CrossRefGoogle 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.CrossRefGoogle Scholar
- Devolder, A., van Braak, J., & Tondeur, J. (2012). Supporting self-regulated learning in computer-based learning environments: Systematic review of effects of scaffolding in the domain of science education. Journal of Computer Assisted Learning, 28(6), 557–573. doi: 10.1111/j.1365-2729.2011.00476.x.CrossRefGoogle Scholar
- Dillon, A., McKnight, C., & Richardson, J. (1988). Reading from paper versus reading from screen. The Computer Journal, 31(5), 457–464.CrossRefGoogle Scholar
- Fischer, L., Hilton, J., III, Robinson, T. J., & Wiley, D. A. (2015). A multi-institutional study of the impact of open textbook adoption on the learning outcomes of post-secondary students. Journal of Computing in Higher Education, 27(3), 159–172. doi: 10.1007/s12528-015-9101-x.CrossRefGoogle 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.CrossRefGoogle Scholar
- Harvey, C., Eshleman, K., Koo, K., Smith, K. G., Paradise, C. J., & Campbell, A. M. (2016). Encouragement for faculty to implement vision and change. CBE-Life Sciences Education. doi: 10.1187/cbe.16-03-0127.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.CrossRefGoogle 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. doi: 10.1179/016164105X35639.CrossRefGoogle Scholar
- Jeong, H. (2012). A comparison of the influence of electronic books and paper books on reading comprehension, eye fatigue, and perception. The Electronic Library, 30(3), 390–408. doi: 10.1108/02640471211241663.CrossRefGoogle 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.CrossRefGoogle Scholar
- Kelly, A. E., Lesh, R. A., & Baek, J. Y. (2008). Handbook of design research methods in education: Innovations in science, technology, engineering, and mathematics learning and teaching. New York: Routledge.Google Scholar
- Kim, M. C., & Hannafin, M. J. (2010). Scaffolding problem solving in technology enhanced learning environments (TELEs): Bridging research and theory with practice. Computers & Education, 56(2), 403–417. doi: 10.1016/j.compedu.2010.08.024.CrossRefGoogle Scholar
- Kim, M., Yoo, K., Park, C., & Yoo, J. (2010). Development of a digital textbook standard format based on XML. In T. Kim, & H. Adeli (Eds.), Advances in computer science and information technology (Vol. 6059, No. 2010, pp. 363–377). doi: 10.1007/978-3-642-13577-4_32.
- Landøy, A., Repanovici, A., & Gastinger, A. (2015, October). The more they tried it the less they liked it: Norwegian and Romanian student’s response to electronic course material. In European conference on information literacy (pp. 455–463). Springer.Google Scholar
- Lauterman, T., & Ackerman, R. (2014). Overcoming screen inferiority in learning and calibration. Computers in Human Behavior, 35, 455–463. doi: 10.1016/j.chb.2014.02.046.CrossRefGoogle Scholar
- Lovett, M., Meyer, O., & Thille, C. (2008). JIME—The open learning initiative: Measuring the effectiveness of the OLI statistics course in accelerating student learning. Journal of Interactive Media in Education. doi: 10.5334/2008-14.Google Scholar
- Macmillan. (2015). What can Launchpad do for you? Retrieved July 22, 2015 from http://www.macmillanhighered.com/Catalog/elearningbrowsebymediatype/LaunchPad.
- 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(2013), 61–68. doi: 10.1016/j.ijer.2012.12.002.CrossRefGoogle 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.CrossRefGoogle Scholar
- Morrison, G., Ross, S., & Kemp, J. (2007). Designing effective instruction. Hoboken, NJ: Wiley.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. doi: 10.1016/j.chb.2014.02.046.CrossRefGoogle 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.CrossRefGoogle 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.CrossRefGoogle Scholar
- Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 451–502). San Diego, CA: Academic Press.CrossRefGoogle Scholar
- Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16(4), 385–407. doi: 10.1007/s10648-004-0006-x.CrossRefGoogle Scholar
- Pressley, M., & Afflerbach, P. (1995). Verbal protocols of reading: The nature of constructively responsive reading. Hillsdale, NJ: Erlbaum.Google Scholar
- Rai, A., Lang, S. S., & Welker, R. B. (2002). Assessing the validity of IS success models: An empirical test and theoretical analysis. Information systems research, 13(1), 50–56. doi: 10.1287/isre.13.1.50.96.CrossRefGoogle Scholar
- Reeves, T. C. (2006). Design research from a technology perspective. In J. Van Den Ekker, K. Gravemeijer, S. McKenney, & N. Nieveen (Eds.), Educational design research (pp. 52–66). New York: Routledge.Google Scholar
- Rho, Y. J., & Gedeon, T. D. (2000). Academic articles on the web: Reading patterns and formats. International Journal of Human-Computer Interaction, 12(2), 219–240. doi: 10.1207/S15327590IJHC1202_4.CrossRefGoogle 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. doi: 10.1016/j.compedu.2012.11.022.CrossRefGoogle Scholar
- Rogers, E. M. (1995). Diffusion of innovations. New York: Free Press.Google Scholar
- Seid-Karbasi, P., Xin, C. Y., Zhang, A. W., Gladish, N., Cheng, S. Y., Rothe, K., et al. (2017). CuboCube: Student creation of a cancer genetics e-textbook using open-access software for social learning. PLoS Biology. doi: 10.1371/journal.pbio.2001192.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.CrossRefGoogle Scholar
- Sidi, Y., Ophir, Y., & Ackerman, R. (2016). Generalizing screen inferiority—Does the medium, screen versus paper, affect performance even with brief tasks? Metacognition and Learning, 11(1), 15–33. doi: 10.1007/s11409-015-9150-6.CrossRefGoogle Scholar
- Sidi, Y., Shpigelman, M., Zalmanov, H., & Ackerman, R. (2017). Understanding metacognitive inferiority on screen by exposing cues for depth of processing. Learning and Instruction. doi: 10.1016/j.learninstruc.2017.01.002.Google Scholar
- Stone, R. W., & Baker-Eveleth, L. (2013a). Students’ expectation, confirmation, and continuance intention to use electronic textbooks. Computers in Human Behavior, 29(3), 984–990. doi: 10.1016/j.chb.2012.12.007.CrossRefGoogle Scholar
- Stone, R. W., & Baker-Eveleth, L. (2013b). Students’ intention to purchase electronic textbooks. Journal of Computing in Higher Education, 25(1), 27–47. doi: 10.1007/s12528-013-9065-7.CrossRefGoogle 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. doi: 10.1111/dsji.12031.Google Scholar
- Van den Akker, J., Gravemeijer, K., McKenney, S., & Nieveen, N. (2006). Educational design research. New York: Routledge.Google Scholar
- Van Horne, S., Russell, J. E., & Schuh, K. L. (2015). Assessment with e-textbook analytics. EDUCAUSE center for analysis and research. Retrieved from http://www.educause.edu/library/resources/assessment-e-textbook-analytics.
- 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, 64(3), 407–433. doi: 10.1007/s11423-016-9425-x.CrossRefGoogle Scholar
- Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. doi: 10.1287/mnsc.46.2.186.11926.CrossRefGoogle Scholar
- 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.CrossRefGoogle Scholar
- Winne, P. H. (2010). Improving measurements of self-regulated learning. Educational Psychologist, 45(4), 267–276. doi: 10.1080/00461520.2010.517150.CrossRefGoogle Scholar
- Winne, P. H., & Hadwin, A. F. (1998). Studying as self-regulated learning. Metacognition in educational theory and Practice, 93, 27–30.Google Scholar
- Winters, F. I., Greene, J. A., & Costich, C. M. (2008). Self-regulation of learning within computer-based learning environments: A critical analysis. Educational Psychology Review, 20(4), 429–444. doi: 10.1007/s10648-008-9080-9.CrossRefGoogle 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.CrossRefGoogle 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.CrossRefGoogle Scholar