Skip to main content
SpringerLink
Log in
Book cover

Learning, Design, and Technology pp 1–21Cite as

Applying a Repertory Grid-Oriented Mindtool to Developing a Knowledge Construction Augmented Reality Mobile Learning System

  • Living reference work entry
  • First Online:

  • 324 Accesses

Abstract

In the past decade, a number of augmented reality (AR) systems have been developed. However, it is still not certain whether this new learning scenario is beneficial to students in a context-aware ubiquitous learning environment. In this study, a repertory grid-oriented mobile knowledge construction augmented reality learning system (ARMKC) was developed for context-aware ubiquitous learning. This learning module integrated a repertory grid-oriented Mindtool and AR technology to facilitate students’ observation of the learning targets, completion of the knowledge construction process, and organization of what they had learned during the u-learning process. To evaluate the effectiveness of the proposed approach, an experiment was conducted on a natural science course to probe the feasibility of the proposed learning strategy in comparison with learning strategies of different learning systems. The results reveal that the proposed approach can facilitate the acquisition of conceptions by using a repertory grid-oriented Mindtool to construct knowledge; moreover, incorporating AR technology had a potential positive effect on the learning achievements of the students in comparison with the conventional approach.​ Such findings offer good references for those who intend to integrate Mindtools and augmented reality techniques in designing context-aware u-learning systems for mobile learning environments.

This is a preview of subscription content, log in via an institution.

References

  • Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., & MacIntyre, B. (2001). Recent advances in augmented reality. Computer Graphics and Applications, 21(6), 34–47.

    Article  Google Scholar 

  • Azuma, R. T. (1997). A survey of augmented reality. Teleoperators and Virtual Environments, 6(4), 355–385.

    Article  Google Scholar 

  • Bacca, J., Baldiris, S., Fabregat, R., Graf, S., & Kinshuk. (2014). Augmented reality trends in education: a systematic review of research and applications. Educational Technology & Society, 17(4), 133–149.

    Google Scholar 

  • Bower, M. (2008). Affordance analysis – matching learning tasks with learning technologies. Educational Media International, 45(1), 3–15. Routledge.

    Google Scholar 

  • Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18, 32–41.

    Article  Google Scholar 

  • Chiang, T. H. C., Yang, S. J. H., & Hwang, G. J. (2014). An augmented reality-based mobile learning system to improve students’ learning achievements and motivations in natural science inquiry activities. Educational Technology & Society, 17(4), 352–365.

    Google Scholar 

  • Chu, H. C. (2014). Potential negative effects of mobile learning on students’ learning achievement and cognitive load – A format assessment perspective. Educational Technology & Society, 17(1), 332–344.

    Google Scholar 

  • Chu, H. C., Hwang, G. J., & Tsai, C. C. (2010a). A knowledge engineering approach to developing mindtools for context-aware ubiquitous learning. Computers & Education, 54(1), 289–297.

    Article  Google Scholar 

  • Chu, H. C., Hwang, G. J., Huang, S. X., & Wu, T. T. (2008). A knowledge engineering approach to developing e-libraries for mobile learning. Electronic Library, 26(3), 303–317.

    Article  Google Scholar 

  • Chu, H. C., Hwang, G. J., Tsai, C. C., & Tseng, J. C. R. (2010b). A two-tier test approach to developing location-aware mobile learning systems for natural science courses. Computers & Education, 55(4), 1618–1627.

    Article  Google Scholar 

  • Dalgarno, B., & Lee, M.J.W. (2010). What are the learning affordances of 3-D virtual environments? British Journal of Educational Technology, 41(1), 10–32, Blackwell Publishing Ltd.

    Google Scholar 

  • Dunleavy, M., Dede, C. and Mitchell, R. (2009). Affordances and limitations of immersive participatory augmented reality simulations for teaching and learning. Journal of Science Education and Technology, 18(1), 7–22, Springer Netherlands.

    Google Scholar 

  • Earnshaw, R. A., & Vince, J. A. (2008). Digital convergence – Libraries of the future. London: Springer Publishing Company.

    Google Scholar 

  • Fonseca, D., Martí, N., Redondo, E., Navarro, L., & Sánchez, A. (2014). Relationship between student profile, tool use, participation, and academic performance with the use of augmented reality technology for visualized architecture models. Computers in Human Behavior, 31(1), 434–445.

    Article  Google Scholar 

  • Hoppe, H. U., Joiner, R., Milrad, M., & Sharples, M. (2003). Guest editorial: wireless and mobile technologies in education. Journal of Computer Assisted Learning, 19(3), 255–259.

    Article  Google Scholar 

  • Hsu, C. K., Hwang, G. J., & Chang, C. K. (2010). Development of a reading material recommendation system based on a knowledge engineering approach. Computers & Education, 55, 76–83.

    Article  Google Scholar 

  • Huang, Y. M., Lin, Y. T., & Cheng, S. C. (2009). An adaptive testing system for supporting versatile educational assessment. Computers & Education, 52(1), 53–67.

    Article  Google Scholar 

  • Hwang, G. J. (2014). Definition, framework and research issues of smart learning environments-a context-aware ubiquitous learning perspective. Smart Learning Environments, 1(4), 1–14.

    Google Scholar 

  • Hwang, G. J., Wu, P. H., & Ke, H. R. (2011). An interactive concept map approach to supporting mobile learning activities for natural science courses. Computers & Education, 57(4), 2272–2280.

    Article  Google Scholar 

  • Hwang, G. J., Wu, P. H., Zhuang, Y. Y., & Huang, Y. M. (2013). Effects of the inquiry-based mobile learning model on the cognitive load and learning achievement of students. Interactive Learning Environments, 21(4), 338–354.

    Article  Google Scholar 

  • Ibáñez, M. B., Serio, A. D., Villarán, D., & Kloos, C. D. (2014). Experimenting with electromagnetism using augmented reality: Impact on flow student experience and educational effectiveness. Computers & Education, 71(1), 1–13.

    Article  Google Scholar 

  • Jee, H. K., Lim, S., Youn, J., & Lee, J. (2014). An augmented reality-based authoring tool for E-learning applications. Multimedia Tools and Applications, 68(2), 225–235.

    Article  Google Scholar 

  • Jonassen, D. H., & Grabowski, B. L. (1993). Handbook of individual difference, learning, and instruction. Hillsdale, NJ: Lawrence Erlbaum Associates, Publishers.

    Google Scholar 

  • Jorge, M. G. M., & Fernández, D. M. (2014). Augmented reality environments in learning, communicational and professional contexts in higher education. Digital Education Review, 26, 22–34.

    Google Scholar 

  • Kye, B., & Kim, Y. (2008). Investigation of the relationships between media characteristics, presence, flow, and learning effects in augmented reality based learning augmented reality. International Journal, 2(1), 4–14.

    Google Scholar 

  • Lee, C. H. M., Cheng, Y. W., Rai, S., & Depickere, A. (2005). What Affect Student Cognitive Style in the Development of Hypermedia Learning System?. Computers & Education, 45(1), 1–19.

    Article  Google Scholar 

  • Lin, T. C., & Tsai, C. C. (2015). Innovative technology-assisted science learning in Taiwan. In M. H. Chiu (Ed.), Science education research and practices in Taiwan: Challenges and opportunities. The Netherlands: Springer.

    Google Scholar 

  • Lin, T. J., Duh, H. B. L., Li, N., Wang, H. Y., & Tsai, C. C. (2013). An investigation of students’ collaborative knowledge construction performances and behavior patterns in an augmented reality simulation system. Computers & Education, 68(1), 314–321.

    Article  Google Scholar 

  • Looi, C. K., Seow, P., Zhang, B., So, H. J., Chen, W., & Wong, L. H. (2010). Leveraging mobile technology for sustainable seamless learning: A research agenda. British Journal of Educational Technology, 41(2), 154–169.

    Article  Google Scholar 

  • McLellan, H. (1993). Evaluation in a situated learning environment. Educational Technology, 33(3), 39–45.

    Google Scholar 

  • Oltman, P., Raskin, E., & Witkin, H. A. (1971). Embedded figures tests. Palo Alto, CA: Consulting Psychologists.

    Google Scholar 

  • Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive load theory and instructional design: Recent developments. Educational Psychologist, 38(1), 1–4.

    Article  Google Scholar 

  • Paas, F. G. W. (1992). Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive load approach. Journal of Educational Psychology, 84, 429–434.

    Article  Google Scholar 

  • Sharples, M., Taylor, J., & Vavoula, G. (2007). A theory of learning for the mobile age. In R. Andrews & C. Haythornthwaite (Eds.), The sage handbook of Elearning research (pp. 221–247). London: Sage.

    Chapter  Google Scholar 

  • Sommerauer, P., & Müller, O. (2014). Augmented reality in informal learning environments: A field experiment in a mathematics exhibition. Computers & Education, 79, 59–68.

    Article  Google Scholar 

  • Squire, K., & Klopfer, E. (2007). Augmented reality simulations on handheld computers. Journal of the Learning Sciences, 16(3), 371–413.

    Article  Google Scholar 

  • Tan, T. H., Liu, T. Y., & Chu, Y. L. (2009). Outdoor natural science learning with an RFID-supported immersive ubiquitous learning environment. Educational Technology & Society, 12(4), 161–175.

    Google Scholar 

  • Tutwiler, S., & Dede, C. (2013). EcoMOBILE: Integrating augmented reality and probeware with environmental education field trips. Computers & Education, 68, 545–556.

    Article  Google Scholar 

  • Wang, H. Y., Duh, H. B. L., Li, N., Lin, T. J., & Tsai, C. C. (2014). An investigation of University students’ collaborative inquiry learning behaviors in an augmented reality simulation and a traditional simulation. Journal of Science Education and Technology, 23(5), 682–691.

    Article  Google Scholar 

  • Wei, X. D., Weng, D. D., Liu, Y., & Wang, Y. T. (2015). Augmented reality in education – Cases, places and potentials. Computers & Education, 81(1), 221–224.

    Article  Google Scholar 

  • Witkin, H. A., Moore, C. A., Goodenough, D. R., & Cox, P. W. (1977). Field-dependent and field-independent cognitive styles and their educational implications. Reviews of Educational Research, 47, 1–64.

    Google Scholar 

  • Witkin, H. A., Oltman, P. K., Raskin, E., & Karp, S. (1971). A manual for the embedded figures test. Palo Alto, CA: Consulting Psychologists Press.

    Google Scholar 

  • Wong, L. H., & Looi, C. K. (2011). ‘What seams do we remove in mobile-assisted seamless learning?’, A critical review of the literature. Computers & Education, 57(4), 2364–2381.

    Article  Google Scholar 

  • Zhang, B. H., Looi, C. K., Wong, L. H., Seow, P., Chia, G., & Chen, W. L. (2010). Deconstructing and reconstructing: Transforming primary science learning via a mobilized curriculum. Computers & Education, 55(4), 1504–1523.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Information Management, Soochow University, Taipei, Taiwan

    Hui-Chun Chu

Authors
  1. Hui-Chun Chu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hui-Chun Chu .

Editor information

Editors and Affiliations

  1. College of Info, Ste G150, Univ of North Texas, Denton, Texas, USA

    Michael J Spector

  2. School of Education, Virginia Tech, Blacksburg, Virginia, USA

    Barbara B Lockee

  3. School of Education, Baker University, Overland Park, Kansas, USA

    Marcus D. Childress

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this entry

Cite this entry

Chu, HC. (2016). Applying a Repertory Grid-Oriented Mindtool to Developing a Knowledge Construction Augmented Reality Mobile Learning System. In: Spector, M., Lockee, B., Childress, M. (eds) Learning, Design, and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-17727-4_51-1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-17727-4_51-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Cham

  • Online ISBN: 978-3-319-17727-4

  • eBook Packages: Springer Reference EducationReference Module Humanities and Social SciencesReference Module Education

Publish with us

Policies and ethics

Search

Navigation