622
Views
22
CrossRef citations to date
0
Altmetric
Articles

Exploring the Relationships between Reading Behavior Patterns and Learning Outcomes Based on Log Data from E-Books: A Human Factor Approach

, , , , , & show all

References

  • Aggarwal, C. C., & Yu, P. S. (1999). Data mining techniques for associations, clustering and classification. Lecture Notes in Computer Science, Springer Verlag, 1574, 13–23.
  • Agudo-Peregrina, A. F., Iglesias-Pradas, S., Conde-González, M. A., & Hernández-García, Á. (2014). Can we predict success from log data in VLES? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning. Computers in Human Behavior, 31, 542–550. doi:10.1016/j.chb.2013.05.031
  • Archer, E., Chetty, Y. B., & Prinsloo, P. (2014). Benchmarking the habits and behaviours of successful students: A case study of academic-business collaboration. The International Review of Research in Open and Distance Learning, 15(1). doi:10.19173/irrodl.v15i1.1617
  • Arroyo, I., & Woolf, B. P. (2005). Inferring learning and attitudes from a Bayesian network of log file data. In  Looi, C.K., MC, G.I, Bredeweg, B.,& Breuke, J. (Ed.), Proc. of the 12th international conference on artificial intelligence in education (pp. 33–40). Amsterdam, Netherlands: IOS Press.
  • Asarta, C. J, & Schmidt, J. R. (2013). Access patterns of online materials in a blended course. Decision Sciences Journal Of Innovative Education, 11(1), 107–123.
  • Baker, R. S. J. D., & Yacef, K. (2009). The state of educational data mining in 2009: A review and future visions. Journal of Educational Data Mining, 1(1), 3–17.
  • Brajnik, G., & Gabrielli, S. (2010). A review of online advertising effects on the user experience. International Journal of Human–Computer Interaction, 26(10), 971–997. doi:10.1080/10447318.2010.502100
  • Campbell, J. P., DeBlois, P. B., & Oblinger, D. G. (2007). Academic analytics: A new tool for a new era. Educause Review, 42(4), 40–57.
  • Cheng, K. H., & Tsai, C. C. (2014). Children and parents’ reading of an augmented reality picture book: Analyses of behavioral patterns and cognitive attainment. Computers & Education, 72, 302–312. doi:10.1016/j.compedu.2013.12.003
  • Costa, A. L., & Kallick, B. (Eds.). (2008). Learning and leading with habits of mind: 16 essential characteristics for success. Alexandria, VA: ASCD.
  • Frias-Martinez, E., Chen, S., Macredie, R., & Liu, X. (2007). The role of human factors in stereotyping behavior and perception of digital library users: A robust clustering approach. Journal of User Modeling and User-Adapted Interaction, 17(3), 305–337. doi:10.1007/s11257-007-9028-7
  • Goda, Y., Yamada, M., Kato, H., Matsuda, T., Saito, Y., & Miyagawa, H. (2015). Procrastination and other learning behavioral types in e-learning and their relationship with learning outcomes. Learning and Individual Differences, 37, 72–80. doi:10.1016/j.lindif.2014.11.001
  • Han, J., Kamber, M., & Pei, J. (2011). Data mining concepts and techniques (3rd ed.). Amsterdam, Netherlands: Elsevier Inc.
  • Ho, L. H., Hung, C. L., & Chen, H. C. (2013). Using theoretical models to examine the acceptance behavior of mobile phone messaging to enhance parent–teacher interactions. Computers & Education, 61, 105–114. doi:10.1016/j.compedu.2012.09.009
  • Hrastinski, S. (2009). A theory of online learning as online participation. Computers & Education, 52(1), 78-82.
  • Huang, C. J., Chu, S. S., & Guan, C. T. (2017). Implementation and performance evaluation of parameter improvement mechanisms for intelligent e-learning systems. Computers & Education, 49(3), 597–614. doi:10.1016/j.compedu.2005.11.008
  • Hwang, G. J., Sung, H. Y., & Chang, H. (2016). Effects of concept-mapping-based interactive e-books on active and reflective-style students’ learning performances in junior high school law courses. Interactive Learning Environments, 25(7), 877–888. doi:10.1080/10494820.2016.1224253
  • Iglesias-Pradas, S., Ruiz-de-Azcárate, C., & Agudo-Peregrina, A. F. (2015). Assessing the suitability of student interactions from moodle data logs as predictors of cross-curricular competencies. Computers in Human Behavior, 47, 81–89.
  • Jo, I, & Kim, Y. (2013). Impact of learner’s time management strategies on achievement in an e-learning environment: a learning analytics approach. The Journal Of Educational Information and Media, 19(1), 83–107.
  • Konert, J., Burlak, D., & Steinmetz, R. (2014). The group formation problem: An algorithmic approach to learning group formation. In:  Freitas, S. de,  Rensing, C.,  Muñoz Merino, P. J. and Ley, T. (eds.) Proc. of the 9th European Conference on Technology Enhanced Learning (EC-TEL) (pp. 221–234). (9), Basel, Switzerland: Springer International Publishing.
  • Law, E. L., & Larusdottir, M. K. (2015). Whose experience do we care about? Analysis of the fitness of Scrum and Kanban to user experience. International Journal of Human–Computer Interaction, 31(9), 584–602. doi:10.1080/10447318.2015.1065693
  • Lindsey, R. V., Shroyer, J. D., Pashlery, H., & Mozer, M. C. (2014). Improving students’ long-term knowledge retention through personalized review. Psychological Science, 25(3), 639–647. doi:10.1177/0956797613518350
  • Long, P., & Siemens, G. (2011). Penetrating the fog: analytics in learning and education. Educause review, 31–40
  • Macfadyen, L., & Dawson, S. (2012). Numbers are not enough. Why e-learning analytics failed to inform an institutional strategic plan. Journal of Educational Technology & Society, 15(3), 149–163.
  • Mind Tools Ltd (2015). Retrieved from http://www.mindtools.com/pages/article/newISS_05.htm.
  • Morris, L. V., Finnegan, C. L., & Wu, S. (2005). Tracking student behavior, persistence, and achievement in online courses. The Internet and Higher Education, 8, 221–231. doi:10.1016/j.iheduc.2005.06.009
  • Mostow, J. (2004). Some useful design tactics for mining its data. In  Lester, J.-C., Vicari, R. M.,Paraguacu, F. (Ed.), Proc. of the 7th international conference on intelligent tutoring systems (pp. 20–28). Berlin/Heidelberg, Germany: Springer-Verlag.
  • Nakajima, T., Shinohara, S., & Tamura, Y. (2013). Typical functions of e-Textbook, implementation, and compatibility verification with use of ePub3 materials. Procedia Computer Science, 22, 1344–1353. doi:10.1016/j.procs.2013.09.223
  • Piatetsky-Shapiro, G., & Frawley, W. J. (1991). Knowledge discovery in databases. Cambridge, MA: AAAI/MIT Press.
  • Rainie, L., Zickuhr, K., Purcell, K., Madden, M., & Brenner, J. (2012). The rise of e-reading. Washington, DC: Pew Research Center’s Internet & American Life Project.
  • 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, 2–5. doi:10.1177/009862830803500102
  • Shin, J. H. (2012). Analysis on the digital textbook’s different effectiveness by characteristics of learner. International Journal of Education and Learning, 1, 23–38.
  • Sutcliffe, A., & Hart, J. (2016). Analyzing the role of interactivity in user experience. International Journal of Human–Computer Interaction, 33(3), 229–240. doi:10.1080/10447318.2016.1239797
  • Yamada, M., Yin, C., Shimada, A., Kojima, K., Okubo, F., & Ogata, H. (2015). Preliminary research on self-regulated learning and learning logs in a ubiquitous learning environment. In  Sampson, D.G, Huang, R., Hwang, G.-J., Liu, T.-C., Chen,N.-S., Kinshuk, Tsai, C.-C. (Ed.),Proc. of the 15th IEEE international conference on advanced learning technologies (pp. 93–95). New Jersey, US: IEEE publisher.
  • Yin, C., Okubo, F., Shimada, K., Yamada, M., Fujimura, N., & Ogata, H. (2014). Smart phone based data collecting system for analyzing learning behaviors. In Liu, C.-C., Ogata, H., Kong, S. C. and Kashihara, A. (Ed.), Proc. of the 22nd international conference of computers on education (pp. 575–577). Taipei, Taiwan: Asia-Pacific Society for Computers in Education.
  • Yin, C., Okubo, F., Shimada, A., Oi, M., Hirokawa, S., Yamada, M., … Ogata, H. (2015). Identifying and analyzing the learning behaviors of students using e-books. In Ogata, H., Chen, W., Kong, S. C., Qiu, F. (Ed.), Proc. of the 23rd international conference on computers in education (pp. 118–120). Taipei, Taiwan: Asia-Pacific Society for Computers in Education.
  • Yin, C., Uosaki, N., Chu, H. C., Hwang, G. J., Hwang, J. J., Hatono, I., … Tabata, Y. (2017). Learning behavioral pattern analysis based on students’ logs in reading digital books. In Chen, W., Yang, J.-C., Mohd Ayub A. F., Wong, S.L., Mitrovic, A.(Ed.), Proc. of the 25th international conference on computers in education (pp. 549–557). Taipei, Taiwan: Asia-Pacific Society for Computers in Education.
  • Yin, C., Hirokawa, S., Yau, J., Nakatoh, T., Hashimoto, K., & Tabata, Y. (2013b). Analyzing research trends with cross tabulation search engine. International Journal of Distance Education Technologies, 11(1), 31–44. doi:10.4018/jdet.2013010103
  • Yin, C., Sung, H. Y., Hwang, G. J., Hirokawa, S., Chu, H. C., Flanagan, B., & Tabata, Y. (2013a). Learning by searching: A learning approach that provides searching and analysis facilities to support research trend surveys. Journal of Educational Technology & Society, 16(3), 286–300.
  • You, J. W. (2016). Identifying significant indicators using LMS data to predict course achievement in online learning. Internet and Higher Education, 29, 23–30. doi:10.1016/j.iheduc.2015.11.003
  • Zhou, Z. J., Hu, C. H., Zhang, B. C., Xu, D. L., & Chen, Y. W. (2013). Hidden behavior prediction of complex systems based on hybrid information. IEEE Transactions on Cybernetics, 43(2), 402–411. doi:10.1109/TSMCB.2012.2208266

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.