Abstract
This contribution discusses the possibilities for mobile interaction and learning, facilitated by the increasing use of sensors in mobile devices. Each sensor provides information which is useful in certain learning contexts and allows for distinct interaction mechanisms. However a model is required how to collect the sensor data and connect it to the learning environment and content. A suitable architecture is described and the steps of the information flow are explained. Future prospects to enhance mobile interaction with more natural ways of communication supported by sensors are given.
Chapter PDF
Similar content being viewed by others
Keywords
References
Franklin, T.: Mobile Learning: At The Tipping Point. The Turkish Online Journal of Educational Technology 10(4) (2011)
Roschelle, J.: Keynote paper: Unlocking the learning value of wireless mobile devices. Journal of Computer Assisted Learning 19(3), 260–272 (2003)
Rensing, C.: Szenarien und Erfahrungen mobilen situierten Lernens an Hochschulen. DeLFI (2012)
Sharples, M., Taylor, J., Vavoula, G.: Towards a theory of mobile learning. In: Proceedings of mLearn 2005, vol. 1(1), pp. 1–9 (2005)
Gellersen, H.W., Schmidt, A., Beigl, M.: Multi-sensor context-awareness in mobile devices and smart artifacts. Mobile Networks and Applications 7(5), 341–351 (2002)
Taylor, J.: A theory of learning for the mobile age. In: Medienbildung in Neuen Kulturräumen, pp. 87–99. VS Verlag für Sozialwissenschaften (2010)
Sarker, S., Wells, J.D.: Understanding mobile handheld device use and adoption. Communications of the ACM 46(12), 35–40 (2003)
Chia, Y., et al.: Context-aware mobile learning with a semantic service-oriented infrastructure. In: 2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications (WAINA), pp. S.896–S.901. IEEE (2011)
da Silva, L.C.N., Neto, F.M.M., Júnior, L.J., de Carvalho Muniz, R.: Recommendation of Learning Objects in an Ubiquitous Learning Environment through an Agent-Based Approach. In: Putnik, G.D., Cruz-Cunha, M.M. (eds.) ViNOrg 2011. CCIS, vol. 248, pp. 101–110. Springer, Heidelberg (2012)
Lester, J.C., Converse, S.A., Kahler, S.E., Barlow, S.T., Stone, B.A., Bhogal, R.S.: The persona effect: affective impact of animated pedagogical agents. In: Pemberton, S. (ed.) Human Factors in Computing Systems: CHI 1997 Conference Proceedings, pp. 359–366. ACM Press, New York (1997)
Wuttke, M.: Pro-Active Pedagogical Agents. In: Fakultät für Informatik (ed.) Proceedings of International Summer Workshop Computer Science, pp. 59–62 (July 2013)
Wang, S.-L., Wu, C.-Y.: Application of context-aware and personalized recommendation to implement an adaptive ubiquitous learning system. Expert Systems with Applications 38(9), S.10831–S.10838 (2011)
Hong, J., et al.: Context-aware system for proactive personalized service based on context history. Expert Systems with Applications 36(4), S.7448–S.7457 (2009)
Martin, K.-U.: Delivering complex learning content on mobile devices. In: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, pp. S.161–S.166 (2013)
Ally, M. (Hg.): Mobile learning: Transforming the delivery of education and training. Athabasca University Press (2009)
Eckardt, D., Hettich, G., Schmid, H.-D.: Sensor for measuring physical dimensions and process for balancing the sensor. U.S. Patent Nr. 4,845,649 (1989)
Martin, K.-U., Hardt, W.: Adaptive agent supported mobile learning. In: International Summer Workshop Computer Science 2013, vol. 17, p. S.28 (2013)
Hinckley, K., et al.: Sensing techniques for mobile interaction. In: Proceedings of the 13th Annual ACM Symposium on User Interface Software and Technology, pp. S.91–S.100. ACM (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Martin, KU., Wuttke, M., Hardt, W. (2014). Sensor Based Interaction Mechanisms in Mobile Learning. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. Technology-Rich Environments for Learning and Collaboration. LCT 2014. Lecture Notes in Computer Science, vol 8524. Springer, Cham. https://doi.org/10.1007/978-3-319-07485-6_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-07485-6_17
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07484-9
Online ISBN: 978-3-319-07485-6
eBook Packages: Computer ScienceComputer Science (R0)