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.
- Vavoula G. and Karagiannidis C. 2005, Designing mobile learning experiences. In Advances in Informatics. Springer Berlin Heidelberg (2005), pp. 534--544. Google ScholarDigital Library
- 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 ScholarCross Ref
- Keegan D., The future of learning: From eLearning to mLearning, Technical Report FernUniversität, Hagen, Germany, (2002) ISSN-1435-9340.Google Scholar
- 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 ScholarDigital Library
- 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 ScholarCross Ref
- 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 ScholarCross Ref
- 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 ScholarCross Ref
- 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 Scholar
- 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 ScholarCross Ref
- Sharples M., Taylor J., and Vavoula G. Towards a theory of mobile learning. In Proceedings of mLearn (2005), 1--9.Google Scholar
- 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 ScholarDigital Library
- 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 ScholarCross Ref
- 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 ScholarDigital Library
- Motiwalla L. F., Mobile learning: A framework and evaluation. Computers & Education 49 (2007), 581--596. Google ScholarDigital Library
- 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 ScholarDigital Library
- 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 ScholarDigital Library
- 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 ScholarDigital Library
- 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 ScholarCross Ref
- 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 ScholarDigital Library
- 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 ScholarCross Ref
- Chen C. H., The implementation and evaluation of a mobile self-and peer-assessment system. Computers & Education, 55 (2010), 229--236. Google ScholarDigital Library
- 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 ScholarCross Ref
- Briggle J. Analysis of pendulum period with an iPod touch/iPhone. Physics Education 48 (2013), 285--288Google ScholarCross Ref
- 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 ScholarCross Ref
- Asif S. and Sinatra T. Angular momentum. The Physics Teacher 51 (2013), 564--565.Google ScholarCross Ref
- Vogt P. and Kuhn J. Analyzing collision processes with the smartphone acceleration sensor. The Physics Teacher 52 (2014), 118--119.Google ScholarCross Ref
- 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 ScholarCross Ref
- 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 ScholarCross Ref
- Jochen K. and Vogt P. Analyzing acoustic phenomena with a smartphone microphone. The Physics Teacher 51 (2013), 118--119.Google ScholarCross Ref
- Jochen K., Vogt P. and Hirth M. Analyzing the acoustic beat with mobile devices. The Physics Teacher 52 (2014), 248--249.Google ScholarCross Ref
- Forinash, K. and Wisman R. F. Smartphones as portable oscilloscopes for physics labs. The Physics Teacher 50 (2012), 242--243.Google ScholarCross Ref
- Silva, N. Magnetic field sensor. The Physics Teacher 50 (2012), 372--373.Google ScholarCross Ref
- Sitar D. Imaging Emission Spectra with Handheld and Cellphone Cameras. The Physics Teacher 50 (2012), 524--525.Google ScholarCross Ref
- Thoms L.-J., Giuseppe C. and Girwidz R. Color reproduction with a smartphone. The Physics Teacher 51 (2013), 440--441.Google ScholarCross Ref
- 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 ScholarCross Ref
- Kuhn J., Vogt P. and Müller A. Analyzing elevator oscillation with the smartphone acceleration sensors. The Physics Teacher 52 (2014), 55--56.Google ScholarCross Ref
- Vieyra R. E. and Vieyra C. Analyzing Forces on Amusement Park Rides with Mobile Devices. The Physics Teacher 52 (2014), 149--151.Google ScholarCross Ref
- 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 ScholarCross Ref
- 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 ScholarCross Ref
- https://play.google.com/store/apps/details?id=com.lul.accelerometer (last accessed on 28 June 2014)Google Scholar
- 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 ScholarDigital Library
- 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 ScholarDigital Library
Index Terms
- Mobile phones for teaching physics: using applications and sensors
Recommendations
Doing physics experiments and learning with smartphones
TEEM '15: Proceedings of the 3rd International Conference on Technological Ecosystems for Enhancing MulticulturalityPhysics is a subject that for a complete teaching and learning requires both theoretical discussions and practical experimentation. In this work we describe how mobile applications can turn smartphones into versatile measurement devices for broad fields ...
Personalized E-learning system with self-regulated learning assisted mechanisms for promoting learning performance
With the rapid development of Internet technologies, the conventional computer-assisted learning (CAL) is gradually moving toward to web-based learning. Additionally, instructors typically base their teaching methods to simultaneously interact with all ...
Towards teaching as design
Recent research suggests that training teachers as learning designers helps promote technology-enhanced educational innovations. However, little attention has been paid so far to the interplay between the effectiveness of Teacher Professional ...
Comments