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Articles

Exploring the effect of learning styles on learning achievement in a u-Museum

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Pages 664-681 | Received 19 Dec 2016, Accepted 25 Sep 2017, Published online: 04 Oct 2017

References

  • Akbulut, Y., & Cardak, C.S. (2012). Adaptive Educational Hypermedia Accommodating Learning Styles: A Content Analysis of Publications from 2000 to 2011. Computers & Education, 58, 835–842. doi: 10.1016/j.compedu.2011.10.008
  • Baloian, N., Pino, J. A., & Hardings, J. (2011). Learning about earthquakes: Getting serious about authenticity in computer-supported learning. Interactive Learning Environments, 19(3), 285–302. doi: 10.1080/10494820903032004
  • Bolliger, D.U, Supanakorn, S., & Boggs, C. (2010). Impact of Podcasting on Student Motivation in the Online Learning Environment. Computers & Education, 55(2), 714–722. doi: 10.1016/j.compedu.2010.03.004
  • Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition & the culture of learning. Educational Researcher, 18(1), 32–42. doi: 10.3102/0013189X018001032
  • CarverJr.C. A., Howard, R. A., & Lane, W. D. (1999). Enhancing student learning through hypermedia courseware and incorporation of student learning styles. IEEE Transactions on Education, 42(1), 33–38. doi: 10.1109/13.746332
  • Chen, T. S., Chang, C. S., Li, D. W., & Li, P. I. (2008, December). Creation, sharing and accumulation of knowledge using web 2.0 technology for ubiquitous learning. Paper presented at the technology enhanced learning conference, Hanoi, Vietnam.
  • Chen, C. C., & Huang, T. C. (2012). Learning in a u-museum: Developing a context-aware ubiquitous learning environment. Computers & Education, 59(3), 873–883. doi: 10.1016/j.compedu.2012.04.003
  • Chen, Y. S., Kao, T. C., Yu, G. J., & Sheu, J. P. (2003). A Mobile butterfly-watching learning system for supporting independent learning. Proceedings of the The 2nd IEEE international workshop on wireless and Mobile technologies in education, 11–18.
  • Chen, C. C., & Lin, P. H. (2016). Development and evaluation of a context-aware ubiquitous learning environment for astronomy education. Interactive Learning Environments, 24(3), 644–661. doi: 10.1080/10494820.2014.915417
  • Cheng, G. (2014). Exploring students’ learning styles in relation to their acceptance and attitudes towards using second life in education: A case study in Hong Kong. Computers & Education, 70, 105–115. doi: 10.1016/j.compedu.2013.08.011
  • Cheng, C. H., & Su, C. H. (2012). A game-based learning system for improving student’s learning effectiveness in system analysis course. Procedia-Social and Behavioral Sciences, 31, 669–675. doi: 10.1016/j.sbspro.2011.12.122
  • Chu, H. C., Hwang, G. J., & Tsai, C. C. (2010). A knowledge engineering approach to developing mind tools for context-aware ubiquitous learning. Computers & Education, 54(1), 289–297. doi: 10.1016/j.compedu.2009.08.023
  • Di Serio, Á, Ibáñez, M. B., & Kloos, C. D. (2012). Impact of an augmented reality system on students’ motivation for a visual art course. Computers & Education, 68, 586–596. doi: 10.1016/j.compedu.2012.03.002
  • Felder, R. M., & Silverman, L. K. (1988). Learning and teaching styles in engineening education. Engineering Education, 78(7), 674–681.
  • Felder, R. M., & Solomon, B. A. (1991). Index of learning styles questionnaire. Retrieved from http://www.engr.ncsu.edu/learningstyles/ilsweb.html
  • Felder, R. M., & Spurlin, J. E. (2005). A validation study of the index of learning styles. Applications, reliability, and validity of the index of learning styles. International Journal of Engineering Education, 21(1), 103–112.
  • Filippidis, S. K., & Tsoukalas, I. A. (2009). On the use of adaptive instructional images based on the sequential-global dimension of the FeldereSilverman learning style theory. Interactive Learning Environments, 17(2), 135–150. doi: 10.1080/10494820701869524
  • Finkenzeller, K. (2003). RFID handbook: Fundamentals and applications in contactless smart cards and identification (2nd ed.). USA: John Wiley and Sons.
  • Garger, S., & Guild, P. (1984). Learning styles: The crucial differences. Curriculum Review, 23(1), 9–12.
  • Hall, T., & Bannon, L. (2006). Designing ubiquitous computing to enhance children’s learning in museums. Journal of Computer Assisted Learning, 22(4), 231–243. doi: 10.1111/j.1365-2729.2006.00177.x
  • Harris, P. (2001). Going mobile. Learning circuits, ASTD Online Magazine, July 2001, Retrieved from http://www.learningcircuits. org/2001/jul2001/harris.html
  • Honey, P., & Mumford, A. (1992). The manual of learning styles (3rd ed.). Maidenhead: Peter Honey.
  • Hsiao, K. L., Huang, T. C., Chen, M. Y., & Chiang, N. T. (2017). Understanding the behavioral intention to play austronesian learning games: From the perspectives of learning outcome, service quality, and hedonic value. Forthcoming, Interactive Learning Environments doi: 10.1080/10494820.2017.1333011
  • Hsieh, S. W., Jang, Y. R., Hwang, G. J., & Chen, N. S. (2011). Effects of teaching and learning styles on students’ reflection levels for ubiquitous learning. Computers & Education, 57, 1194–1201. doi: 10.1016/j.compedu.2011.01.004
  • Huang, T. C., Chen, C. C., & Chou, Y. W. (2016). Animating eco-education: To see, feel, and discover in an augmented reality-based experiential learning environment. Computers & Education, 96, 72–82. doi: 10.1016/j.compedu.2016.02.008
  • Huang, Y. M., Huang, Y. M., Huang, S. H., & Lin, Y. T. (2012). A ubiquitous English vocabulary learning system: Evidence of active/passive attitudes vs. Usefulness/ease-of-use. Computers & Education, 58, 273–282. doi: 10.1016/j.compedu.2011.08.008
  • Huang, E. Y., Lin, S. W., & Huang, T. K. (2012). What type of learning style leads to online participation in the mixed-mode e-learning environment? A study of software usage instruction. Computers & Education, 58, 338–349. doi: 10.1016/j.compedu.2011.08.003
  • Hwang, G. J., Chiu, L. Y., & Chen, C. H. (2015). A contextual game-based learning approach to improving students’ inquiry-based learning performance in social studies courses. Computer & Education, 81, 13–25. doi: 10.1016/j.compedu.2014.09.006
  • Hwang, G. J., Sung, H. Y., Hung, C. M., & Huang, I. (2013). A learning style perspective to investigate the necessity of developing adaptive learning systems. Educational Technology & Society, 16(2), 188–197.
  • Hwang, G.-J., Sung, H.-Y., Hung, C.-M., Huang, I., & Tsai, C.-C. (2012). Development of a personalized educational computer game based on students’ learning styles. Educational Technology Research and Development, 60(4), 623–638. doi: 10.1007/s11423-012-9241-x
  • Hwang, G. J., Tsai, C. C., & Yang, S. J. H. (2008). Criteria, strategies and research issues of context-aware ubiquitous learning. Educational Technology and Society, 11(1), 81–91.
  • Hwang, G. J., Yang, L. H., & Wang, S. Y. (2013). A concept map-embedded educational computer game for improving students’ learning performance in natural science courses. Computers & Education, 69(1), 121–130. doi: 10.1016/j.compedu.2013.07.008
  • Jung, C. G. (1971). Psychological types. Princeton, NJ: Princeton University Press (Originally published in 1921).
  • Keefe, J. W. (1987). Learning style theory and practices. Reston, VA: National Association of Secondary School Principals.
  • Keller, J. M. (1987). Development and use of the ARCS model of instructional design. Journal of Instructional Development, 10(3), 2–10. doi: 10.1007/BF02905780
  • Keller, J.M. (1984). The use of the ARCS model of motivation in teacher training. In K. Shaw, & A.J Trott (Eds.), Aspects of Educational Technology Volume XVII: staff Development and Career Updating. London: Kojan Page.
  • Keller, J.M. (2010). Motivational design for learning and performance: The ARCS model approach. New York: Springer.
  • Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Englewood Cliffs, NJ: Prentice Hall.
  • Kolb, D. A., & Smith, D. M. (1985). User guide for the learning-style inventory. Boston, MA: McBer and Company.
  • Kuljis, J., & Liu, F. (2005). A comparison of learning style theories on the suitability for elearning. In M. H. Hamza (Ed.), Proceedings of the IASTED conference on web technologies, applications, and services (pp. 191–197). Calgary , AB: ACTA Press.
  • Lee, H. S., & Butler, N. (2003). Making authentic science accessible to students. International Journal of Science Education, 25(8), 923–948. doi: 10.1080/09500690305023
  • Liu, T. Y., & Chu, Y. L. (2010). Using ubiquitous games in an English listening and speaking course: Impact on learning outcomes and motivation. Computer & Education, 55(2), 630–643. doi: 10.1016/j.compedu.2010.02.023
  • Moradpour, S., & Bhuptani, M. (2005). RFID field guide: Deploying radio frequency identification systems. New Jersey, NJ: Sun Microsystems/Prentice Hall PTR. pp. 4–6.
  • Nunnally, J. C. (1978). Psychometric theory. New York: McGraw-Hill.
  • Ogata, H., Akamatsu, R., & Yano, Y. (2005). TANGO: Computer supported vocabulary learning with RFID tags. Journal of the Japanese Society for Information and Systems in Education, 22(1), 30–35.
  • Ogata, H., Yin, C., El-Bishouty, M. M., & Yano, Y. (2010). Computer supported ubiquitous learning environment for vocabulary learning. International Journal of Learning Technology, 5(5), 5–24. doi: 10.1504/IJLT.2010.031613
  • Özpolat, E., & Akar, G. B. (2009). Automatic detection of learning styles for an e-learning system. Computers & Education, 53, 355–367. doi: 10.1016/j.compedu.2009.02.018
  • Riding, R.J, & Cheema, I. (1991). Cognitive styles—an overview and integration. Educational Psychology , 11(3 and 4), 193–215. doi: 10.1080/0144341910110301
  • Silver, H., Strong, R. W., & Perini, M. J. (2000). So each may learn: Integrating learning styles and multiple intelligences. Alexandria, VA: Association for Supervision and Curriculum Development.
  • Small, R. V., & Gluck, M. (1994). The relationship of motivational conditions to effective instructional. Educational Technology, 36(8), 33–40.
  • Tan, H. T., Tsung, Y. L., & Chang, C. C. (2007). Development & evaluation of an RFID-based ubiquitous learning environment for outdoor learning. Interactive Learning Environments, 15(3), 253–269. doi: 10.1080/10494820701281431
  • Wang, J., Yu, W. C. W., & Wu, E. (2013). Empowering Mobile assisted social E-learning: Students’ expectations and perceptions. World Journal of Education, 3(2), 59–70. doi: 10.5430/wje.v3n2p59
  • Wei, X., Weng, D., Liu, Y., & Wang, Y. (2015). Teaching based on augmented reality for a technical creative design course. Computer & Education, 81, 221–234. doi: 10.1016/j.compedu.2014.10.017
  • Williams, B. (2001). The theoretical links between problem-based learning and self-directed learning for continuing professional nursing education. Teaching in Higher Education, 6(1), 85–98. doi: 10.1080/13562510020029626

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