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Mobile phones for teaching physics: using applications and sensors

Published:01 October 2014Publication History

ABSTRACT

This paper describes several experiments performed by our research group to show the use of smartphones in physics teaching. We document our work on the development of apps for smartphones and on how to use recorded sensor data. As a final result, some interesting outcomes are obtained from the surveys conducted on the students about the use of these applications and their mLearning experience in general. These results show that the students are very interested in using smartphones as a complement to a more traditional learning. Finally, the influence of using the developed applications on students' grades and engagement was also analyzed. The results of this analysis prove that the use of smartphones highly improves students' engagement.

References

  1. Vavoula G. and Karagiannidis C. 2005, Designing mobile learning experiences. In Advances in Informatics. Springer Berlin Heidelberg (2005), pp. 534--544. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Caudill. J., The growth of m-learning and the growth of mobile computing: Parallel developments. International Review of Research in Open and Distance Learning, 8 (2007), 1--13.Google ScholarGoogle ScholarCross RefCross Ref
  3. Keegan D., The future of learning: From eLearning to mLearning, Technical Report FernUniversität, Hagen, Germany, (2002) ISSN-1435-9340.Google ScholarGoogle Scholar
  4. Markett, C., Arnedillo Sánchez I., Weber S. and Tangney B. Using short message service to encourage interactivity in the classroom. Computers & Education 46, no. 3 (2006), 280--293. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Liu, T. C., Wang H. Y., Liang J. K., Tak-Wai C., Ko H. W. and Yang. J. C., Wireless and mobile technologies to enhance teaching and learning. Journal of Computer Assisted Learning 19, no. 3 (2003), 371--382.Google ScholarGoogle ScholarCross RefCross Ref
  6. Falcão Jr A. E. G., Gomes R. A., Pereira J. M., Coelho L. F. S., and Santos A. C. F.. Cellular phones helping to get a clearer picture of kinematics.The Physics Teacher 47, no. 3 (2009), 167--168.Google ScholarGoogle ScholarCross RefCross Ref
  7. Patrik V., Kuhn J. and Müller S. Experiments using cell phones in physics classroom education: The computer-aided g determination.The Physics Teacher 49, no. 6 (2011), 383--384.Google ScholarGoogle ScholarCross RefCross Ref
  8. de la Pena-Bandalaria M. Impact of ICTs on open and distance learning in a developing country setting: the Philippine experience. International Review of Research in Open and Distance Learning 8 (2007), 1--15.Google ScholarGoogle Scholar
  9. Traxler J., Defining, Discussing and Evaluating Mobile Learning: The moving finger writes and having writ... The International Review of Research in Open and Distance Learning, 8 (2007), 1--12.Google ScholarGoogle ScholarCross RefCross Ref
  10. Sharples M., Taylor J., and Vavoula G. Towards a theory of mobile learning. In Proceedings of mLearn (2005), 1--9.Google ScholarGoogle Scholar
  11. Nyiri K. Towards a philosophy of m-learning. Proceedings of the IEEE International Workshop on Wireless and Mobile Technologies in Education (2002), 121--124. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Valk J.-H., Rashid A. T., and Elder L. Using mobile phones to improve educational outcomes: An analysis of evidence from Asia. The International Review of Research in Open and Distance Learning 11 (2010), 117--140.Google ScholarGoogle ScholarCross RefCross Ref
  13. Holzinger A., Nischelwitzer A. and Meisenberger M., Mobile phones as a challenge for m-learning: examples for mobile interactive learning objects (MILOs). In Pervasive Computing and Communications Workshops, (2005) 307--311. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Motiwalla L. F., Mobile learning: A framework and evaluation. Computers & Education 49 (2007), 581--596. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Gedik N., Hanci-Karademirci A., Kursun E. and Cagiltay K.. Key instructional design issues in a cellular phone-based mobile learning project. Computers & Education, 58 (2012), 1149--1159. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Markett C., Sánchez I. A., Weber S. and Tangney, B., Using short message service to encourage interactivity in the classroom. Computers & Education, 46 (2006), 280--293. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Scornavacca E., Huff S. and Marshall S., Mobile phones in the classroom: if you can't beat them, join them. Communications of the ACM, 52 (2009), 142--146. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Cavus N. and Ibrahim D., m@@@Learning: An experiment in using SMS to support learning new English language words. British Journal of Educational Technology, 40 (2009), 78--91.Google ScholarGoogle ScholarCross RefCross Ref
  19. Triantafillou E., Georgiadou E. and Economides A. A., The design and evaluation of a computerized adaptive test on mobile devices. Computers & Education, 50 (2008) 1319--1330 Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Yarnall L., Shechtman N. and Penuel W. R., Using handheld computers to support improved classroom assessment in science: Results from a field trial. Journal of Science Education and Technology, 15 (2006), 142--158.Google ScholarGoogle ScholarCross RefCross Ref
  21. Chen C. H., The implementation and evaluation of a mobile self-and peer-assessment system. Computers & Education, 55 (2010), 229--236. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Gómez-Tejedor J. A., Castro-Palacio J. C. and Monsoriu J. A. The acoustic Doppler Effect applied to the study of linear motions. European Journal of Physics 35 (2014), 025006.Google ScholarGoogle ScholarCross RefCross Ref
  23. Briggle J. Analysis of pendulum period with an iPod touch/iPhone. Physics Education 48 (2013), 285--288Google ScholarGoogle ScholarCross RefCross Ref
  24. Hochberg K., Gröber S., Kuhn J. and Müller A. The spinning disc: studying radial acceleration and its damping process with smartphone acceleration sensors. Physics Education 49, no. 2 (2014), 137--140.Google ScholarGoogle ScholarCross RefCross Ref
  25. Asif S. and Sinatra T. Angular momentum. The Physics Teacher 51 (2013), 564--565.Google ScholarGoogle ScholarCross RefCross Ref
  26. Vogt P. and Kuhn J. Analyzing collision processes with the smartphone acceleration sensor. The Physics Teacher 52 (2014), 118--119.Google ScholarGoogle ScholarCross RefCross Ref
  27. Castro-Palacio, J. C., Velázquez-Abad L., Gimenez F. and Monsoriu J. A. A quantitative analysis of coupled oscillations using mobile accelerometer sensors. Eur. J. Phys 34 (2013), 737--744.Google ScholarGoogle ScholarCross RefCross Ref
  28. Parolin, S. O. and Pezzi G. Smartphone-aided measurements of the speed of sound in different gaseous mixtures. The Physics Teacher 51 (2013), 508--509.Google ScholarGoogle ScholarCross RefCross Ref
  29. Jochen K. and Vogt P. Analyzing acoustic phenomena with a smartphone microphone. The Physics Teacher 51 (2013), 118--119.Google ScholarGoogle ScholarCross RefCross Ref
  30. Jochen K., Vogt P. and Hirth M. Analyzing the acoustic beat with mobile devices. The Physics Teacher 52 (2014), 248--249.Google ScholarGoogle ScholarCross RefCross Ref
  31. Forinash, K. and Wisman R. F. Smartphones as portable oscilloscopes for physics labs. The Physics Teacher 50 (2012), 242--243.Google ScholarGoogle ScholarCross RefCross Ref
  32. Silva, N. Magnetic field sensor. The Physics Teacher 50 (2012), 372--373.Google ScholarGoogle ScholarCross RefCross Ref
  33. Sitar D. Imaging Emission Spectra with Handheld and Cellphone Cameras. The Physics Teacher 50 (2012), 524--525.Google ScholarGoogle ScholarCross RefCross Ref
  34. Thoms L.-J., Giuseppe C. and Girwidz R. Color reproduction with a smartphone. The Physics Teacher 51 (2013), 440--441.Google ScholarGoogle ScholarCross RefCross Ref
  35. Pendrill A.-M. and Rohlén J. Acceleration and rotation in a pendulum ride, measured using an iPhone 4. Physics Education 46 (2011) 676--681.Google ScholarGoogle ScholarCross RefCross Ref
  36. Kuhn J., Vogt P. and Müller A. Analyzing elevator oscillation with the smartphone acceleration sensors. The Physics Teacher 52 (2014), 55--56.Google ScholarGoogle ScholarCross RefCross Ref
  37. Vieyra R. E. and Vieyra C. Analyzing Forces on Amusement Park Rides with Mobile Devices. The Physics Teacher 52 (2014), 149--151.Google ScholarGoogle ScholarCross RefCross Ref
  38. Monteiro M., Cabeza C., Marti A. C., Vogt P. and Kuhn J. Angular velocity and centripetal acceleration relationship. The Physics Teacher 52 (2014), 312--313.Google ScholarGoogle ScholarCross RefCross Ref
  39. Monteiro M., Cabeza C. and Martí A. C. Exploring phase space using smartphone acceleration and rotation sensors simultaneously. European Journal of Physics 35 (2014), 045013.Google ScholarGoogle ScholarCross RefCross Ref
  40. https://play.google.com/store/apps/details?id=com.lul.accelerometer (last accessed on 28 June 2014)Google ScholarGoogle Scholar
  41. Wu, W.-H., Yen-Chun J. W., Chun-Yu C., Hao-Yun K., Che-Hung L., and Sih-Han H. Review of trends from mobile learning studies: A meta-analysis.Computers & Education 59, no. 2 (2012), 817--827. Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. Cheon J., Lee S., Crooks S. M., and Song J. An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education 59 (2012), 1054--1064. Google ScholarGoogle ScholarDigital LibraryDigital Library

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          cover image ACM Other conferences
          TEEM '14: Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality
          October 2014
          711 pages
          ISBN:9781450328968
          DOI:10.1145/2669711

          Copyright © 2014 ACM

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          Publication History

          • Published: 1 October 2014

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