Abstract
Recent years have witnessed the adoption of mobile devices to deliver valuable interactive learning experiences to students. Although prior efforts have led to the development of mobile applications that enhance access to virtual and remote laboratories, research has not yet explored the comprehensive integration of mobile technologies into traditional laboratory activities. In this chapter, we present the development of mobile cyber-physical laboratories (MCPLs) in which hardware and software of mobile devices are leveraged in measurement, control, monitoring, and interaction with physical test-beds in the laboratory. Two separate approaches for realizing cost-effective and portable educational test-beds are proposed that utilize the sensing, storage, computation, and communication (SSCC) capabilities of mobile devices to facilitate inquiry-based educational experiences. In the first approach, smartphones are mounted directly to test-beds to allow inertial- and/or vision-based measurement and control of the test-bed. In the second approach, tablets are held such that their rear-facing cameras allow vision-based measurement and control of the test-bed. By developing mobile applications that incorporate interactive plots and augmented reality visualizations, unique and engaging learning experiences are provided from learners’ personal mobile devices. The implementation and evaluation of each approach is discussed with a motor test-bed used to teach concepts of dynamic systems and control. Results of investigations indicate that by intimately linking concrete physical and cyber representations of phenomena through interactive, visually engaging interfaces, the MCPLs allow learners to make connections necessary for deep conceptual understanding and to engage in activities that hone their design skills.
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References
Alexander, K. (2015). Instruments in your pocket. Mechanical Engineering Magazine, 137(9), 43–46.
Ally, M. (2009). Mobile learning: Transforming the delivery of education and training. Edmonton: Athabasca University Press.
Andujar, J., MejĂas, A., & Marquez, M. (2011). Augmented reality for the improvement of remote laboratories: An augmented remote laboratory. IEEE Transactions on Education, 54(3), 492–500.
Apkarian, J. (1995). A comprehensive and modular laboratory for control systems design and implementation. Toronto: Quanser Consulting.
Aroca, R. V., Péricles, A., de Oliveira, B. S., & Marcos, L. (2012). Towards smarter robots with smartphones. In Proceedings of the 5th Workshop in Applied Robotics and Automation, Bauru (pp. 1–6).
Aziz, E.-S., Esche, S. K., & Chassapis, C. (2007). On the design of a virtual learning environment for mechanical vibrations. In Proceedings of the ASEE/IEEE Frontiers in Education Conference, Milwaukee (pp. F2H-7–F2H-12).
Blosser, P. E. (1983). The role of the laboratory in science teaching. School Science and Mathematics, 83(2), 165–169.
Bonnington, C. (2015). In less than two years, a smartphone could be your only computer. Wired. http://www.wired.com/2015/02/smartphone-only-computer/. Accessed 10 Feb 2015.
Brill, A., Frank, J. A., & Kapila, V. (2016a). Visual servoing of an inverted pendulum on cart using a mounted smartphone. In Proceedings of the American Control Conference, Boston (pp. 1323–1328).
Brill, A., Frank, J. A., & Kapila, V. (2016b). Using mounted smartphones as a platform for laboratory education in engineering. In American Society for Engineering Education Annual Conference, New Orleans (10.18260/p. 27153).
Brill, A., Frank, J. A., & Kapila, V. (2016c). Using inertial and visual sensing from a mounted smartphone to stabilize a ball and beam test-bed. In Proceedings of the American Control Conference, Boston (pp. 1335–1340).
Carroll, J. M. (1990). The nurnberg funnel: Designing minimalist instruction for practical computer skill. Cambridge, MA: MIT Press.
Cheng, K.-H., & Tsai, C.-C. (2013). Affordances of augmented reality in science learning: Suggestions for future research. Journal of Science Education and Technology, 22(4), 449–462.
Clark, J. M., & Paivio, A. (1991). Dual coding theory and education. Educational Psychology Review, 3(3), 149–170.
Cook, J., Pachler, N., & Bradley, C. (2008). Bridging the gap? Mobile phones at the interface between informal and formal learning. Journal of the Research Center for Educational Technology, 4(1), 3–18.
Copolo, C. E., & Hounshell, P. B. (1995). Using three-dimensional models to teach molecular structures in high school chemistry. Journal of Science Education and Technology, 4(4), 295–305.
Corter, J. E., Nickerson, J. V., Esche, S. K., Chassapis, C., Im, S., & Ma, J. (2007). Constructing reality: A study of remote, hands-on, and simulated laboratories. ACM Transactions on Computer-Human Interaction, 14(2), 7.
da Silva, J. B., Rochadel, W., Marcelino, R., Gruber, V., & Bilessimo, S. M. S. (2013). Mobile remote experimentation applied to education. In O. Dziabenko, & J. GarcĂa-Zubia (Eds.), IT innovative practices in secondary schools: Remote experiments (pp. 281–302). Bilbao: University of Deusto.
de Lima, J. P. C., Rochadel, W., Silva, A. M., Simão, J. P. S., da Silva, J. B., & Alves, J. B. M. (2014). Application of remote experiments in basic education through mobile devices. In IEEE Global Engineering Education Conference, Istanbul (pp. 1093–1096).
Desai, A., Lee, D. J., Moore, J., & Chang, Y. P. (2013). Stabilization and control of quad-rotor helicopter using a smartphone device. In Proceedings of SPIE Conference (Vol. 8662); Intelligent Robots and Computer Vision XXX: Algorithms and Techniques, Burlingame (pp. 1–9).
Dorf, R., & Bishop, R. (2008). Modern control systems. Upper Saddle River: Pearson Education.
El-Gaaly, T., Tomaszewski, C., Valada, A., Velagapudi, P., Kannan, B., & Scerri, P. (2013). Visual obstacle avoidance for autonomous watercraft using smartphones. In Proceedings of the Autonomous Robots and Multirobot Systems Workshop, Saint Paul (pp. 1–15).
Feisel, L., & Rosa, A. (2005). The role of the laboratory in undergraduate engineering education. Journal of Engineering Education, 94(1), 121–130.
Finkelstein, N. D., Adams, W. K., Keller, C. J., Kohl, P. B., Perkins, K. K., Podolefsky, N. S., et al. (2005). When learning about the real world is better done virtually: A study of substituting computer simulations for laboratory equipment. Physical Review Special Topics-Physics Education Research, 1, 010103-1–010103-8.
Frank, J. A., & Kapila, V. (2014). Development of mobile interfaces to interact with automatic control experiments [Focus on education]. IEEE Control Systems, 34(5), 78–98.
Frank, J. A., & Kapila, V. (2016a). Towards teleoperation-based interactive learning of robot kinematics using a mobile augmented reality interface on a tablet. In Indian Control Conference, Hyderabad (pp. 385–392).
Frank, J. A., & Kapila, V. (2016b). Using mobile devices for mixed-reality interactions with educational laboratory test-beds. Mechanical Engineering, 138(6), 52–56.
Frank, J. A., & Kapila, V. (2017). Mixed-reality learning environments: Integrating mobile interfaces with laboratory test-beds. Computers & Education, 110, 88–104.
Frank, J. A., Gómez, J. A. D., & Kapila, V. (2015). Using tablets in the vision-based control of a ball and beam test-bed. In Proceedings of the International Conference on Informatics in Control, Automation and Robotics, Colmar (pp. 92–102).
Frank, J. A., Brill, A., & Kapila, V. (2016a). Interactive mobile interface with augmented reality for learning digital control concepts. In Indian Control Conference, Hyderabad (pp. 85–92).
Frank, J. A., Brill, A., & Kapila, V. (2016b). Mounted smartphones as measurement and control platforms for motor-based laboratory test-beds. Sensors, 16(8), 1331, 1–21.
Franklin, T., & Peng, L. W. (2008). Mobile math: Math educators and students engage in mobile learning. Journal of Computing in Higher Education, 20(2), 69–80.
Froehlich, J., Dillahunt, T., Klasnja, P., Mankoff, J., Consolvo, S., Harrison, B., et al. (2009). UbiGreen: Investigating a mobile tool for tracking and supporting green transportation habits. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Boston (pp. 1043–1052).
Gabel, D., & Sherwood, R. (1980). The effect of student manipulation of molecular models on chemistry achievement according to Piagetian level. Journal of Research in Science Teaching, 17(1), 75–81.
Gillett, F. (2012). Why tablets will become our primary computing device. Forrester. http://blogs.forrester.com/frank_gillett/12-04-23-why_tablets_will_become_our_primary_computing_device/. Accessed 27 Aug 2016.
Godwin-Jones, R. (2011). Emerging technologies: Mobile apps for language learning. Language Learning & Technology, 15(2), 2–11.
Haralick, R. M., Joo, H., Lee, C. N., Zhuang, X., Vaidya, V. G., & Kim, M. B. (1989). Pose estimation from corresponding point data. IEEE Transactions on Systems, Man, and Cybernetics, 19(6), 1426–1446.
Hesser, T., & Schwartz, P. (2013). iPads in the science laboratory: Experience in designing and implementing a paperless chemistry laboratory course. Journal of STEM Education: Innovations & Research, 14(2), 5–9.
Honebein, P. C., Duffy, T. M., & Fishman, B. J. (1993). Constructivism and the design of learning environments: Context and authentic activities for learning. In: Duffy, T.M., Lowyck, J., Jonassen, D.H., and Welsh, T.M. (eds.) Designing environments for constructive learning. Berlin/Heidelberg: Springer.
Hu, X., Chu, T. H. S., Chan, H. C. B., & Leung, V. C. M. (2013). Vita: A crowdsensing-oriented mobile cyber-physical system. IEEE Transactions on Emerging Topics in Computing, 1(1), 148–165.
Hürst, W., & Van Wezel, C. (2011). Multimodal interaction concepts for mobile augmented reality applications. In Proceedings of International Multimedia Modeling Conference, Taipei (pp. 157–167).
Hutchinson, S., Hager, G. D., & Corke, P. I. (1996). A tutorial on visual servo control. IEEE Transactions on Robotics and Automation, 12(5), 651–670.
Irwin, J. L., Pearce, J. M., Anzolone, G., & Oppliger, D. E. (2014). The RepRap 3-D printer revolution in STEM education. In ASEE Annual Conference & Exposition, Indianapolis. https://peer.asee.org/23175.
Kerawalla, L., Luckin, R., Seljeflot, S., & Woolard, A. (2006). Making it real: Exploring the potential of augmented reality for teaching primary school science. Virtual Reality, 10(3–4), 163–174.
Khan, W. Z., Xiang, Y., Aalsalem, M. Y., & Arshad, Q. (2013). Mobile phone sensing systems: A survey. IEEE Communications Surveys & Tutorials, 15(1), 402–427.
Kim, Y. H., Kim, D. J., & Wachter, K. (2013). A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention. Decision Support Systems, 56, 361–370.
Klein, P., Gröber, S., Kuhn, J., & Müller, A. (2014a). Video analysis of projectile motion using tablet computers as experimental tools. Physics Education, 49(1), 37–40.
Klein, P., Hirth, M., Gröber, S., Kuhn, J., & Müller, A. (2014b). Classical experiments revisited: Smartphones and tablet PCs as experimental tools in acoustics and optics. Physics Education, 49(4), 412.
Klopfer, E., & Squire, K. (2008). Environmental detectives – the development of an augmented reality platform for environmental simulations. Educational Technology Research and Development, 56(2), 203–228.
Knowles, M. S. (1975). Self-directed learning: A guide for learners and teachers. New York: Associated Press.
Kuhn, J., & Vogt, P. (2013). Applications and examples of experiments with mobile phones and smartphones in physics lessons. Frontiers in Sensors, 1(4), 67–73.
Kuhn, J., Molz, A., Gröber, S., & Frübis, J. (2014). iRadioactivity: Possibilities and limitations for using smartphones and tablet PCs as radioactive counters. The Physics Teacher, 52(6), 351–356.
Lane, N. D., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., & Campbell, A. T. (2010). A survey of mobile phone sensing. IEEE Communications Magazine, 48(9), 140–150.
Lee, K. (2012). Augmented reality in education and training. TechTrends, 56(2), 13–21.
Leijdekkers, P., & Gay, V. (2006). Personal heart monitoring and rehabilitation system using smart phones. In International Conference on Mobile Business, Copenhagen (pp. 1–7).
Libman, D., & Huang, L. (2013). Chemistry on the go: Review of chemistry apps on smartphones. Journal of Chemical Education, 90(3), 320–325.
Liu, W., Cheok, A. D., Mei-Ling, C. L., & Theng, Y.-L. (2007). Mixed reality classroom: Learning from entertainment. In International Conference on Digital Interactive Media in Entertainment and Arts, Perth (pp. 65–72).
Liu, C., Huot, S., Diehl, J., Mackay, W., & Beaudouin-Lafon, M. (2012a). Evaluating the benefits of real-time feedback in mobile augmented reality with hand-held devices. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Austin (pp. 2973–2976).
Liu, J., Hu, S., Thiagarajan, J. J., Zhang, X., Ranganath, S., Banavar, M. K., et al. (2012b). Interactive DSP laboratories on mobile phones and tablets. In IEEE International Conference on Acoustics, Speech and Signal Processing, Kyoto (pp. 2761–2764).
Ma, J., & Nickerson, J. V. (2006). Hands-on, simulated, and remote laboratories: A comparative literature review. ACM Computing Surveys, 38(3), 7, 1–24.
Maiti, A., & Tripathy, B. (2012). Different platforms for remote laboratories in mobile devices. International Journal of Modern Education and Computer Science, 4(5), 38–45.
Martin, F., & Ertzberger, J. (2013). Here and now mobile learning: An experimental study on the use of mobile technology. Computers & Education, 68, 76–85.
May, D., Terkowsky, C., Haertel, T., & Pleul, C. (2012). Using e-portfolios to support experiential learning and open the use of tele-operated laboratories for mobile devices. In International Conference on Remote Engineering and Virtual Instrumentation, Bilbao.
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 81–97.
Naps, T. L., Rößling, G., Almstrum, V., Dann, W., Fleischer, R., Hundhausen, C., et al. (2002). Exploring the role of visualization and engagement in computer science education. In ACM SIGCSE Bulletin, 35, 131–152.
Nguyen, L., Barton, S., & Nguyen, L. (2015). iPads in higher education: Hype and hope. British Journal of Educational Technology, 46(1), 190–203.
Noor, A. K. (2016). The HoloLens revolution. Mechanical Engineering Magazine, 138(10), 32–37.
Núñez, M., Quirós, R., Núñez, I., Carda, J. B., & Camahort, E. (2008). Collaborative augmented reality for inorganic chemistry education. In Proceedings of the WSEAS/IASME International Conference on Engineering Education, Heraklion (pp. 271–277).
Orduña, P., GarcĂa-Zubia, J., Irurzun, J., LĂłpez-de-Ipiña, D., & Rodriguez-Gil, L. (2011). Enabling mobile access to remote laboratories. In Global Engineering Education Conference, Amman (pp. 312–318).
Pearce, J. M. (2012). Building research equipment with free, open-source hardware. Science, 337(6100), 1303–1304.
Rajkumar, R., Lee, I., Sha, L., & Stankovic, J. (2010). Cyber-physical systems: The next computing revolution. In Proceedings of the 47th Design Automation Conference, Seattle (pp. 731–736).
Ranganath, S., Thiagarajan, J. J., Ramamurthy, K. N., Hu, S., Banavar, M., & Spanias, A. (2012). Work in progress: Performing signal analysis laboratories using Android devices. In Frontiers in Education Conference, Seattle (pp. 1–2).
Rose, G. (2006). Mobile phones as traffic probes: Practices, prospects and issues. Transport Reviews, 26(3), 275–291.
Sanderson, A. C., & Weiss, L. E. (1983). Adaptive visual servo control of robots. In: Pugh, A. (ed.) Robot vision (pp. 107–116). Berlin/Heidelberg: Springer.
Schweitzer, D., & Brown, W. (2007). Interactive visualization for the active learning classroom. ACM SIGCSE Bulletin, 39, 208–212.
Sha, L., Gopalakrishnan, S., Liu, X., & Wang, Q. (2009). Cyber-physical systems: A new frontier. In: Yu, P.S. and Tsai, J.J.P. (eds.) Machine learning in cyber trust (pp. 3–13). Boston, MA: Springer.
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12, 257–285.
Thilmany, J. (2014). Working away. Mechanical Engineering Magazine, 136(1), 40–43.
Venkataraman, B. (2009). Visualization and interactivity in the teaching of chemistry to science and non-science students. Chemistry Education Research and Practice, 10(1), 62–69.
Vogt, P., & Kuhn, J. (2013). Analyzing radial acceleration with a smartphone acceleration sensor. The Physics Teacher, 51(3), 182–183.
Vogl, W., Ma, B. K.-L., & Sitti, M. (2006). Augmented reality user interface for an atomic force microscope-based nanorobotic system. IEEE Transactions on Nanotechnology, 5(4), 397–406.
Vygotsky, L. S. (1978). Mind in society: The development of higher mental processes. Cambridge, MA: Harvard University Press.
Williams, A., & Pence, H. (2011). Smart phones, a powerful tool in the chemistry classroom. Journal of Chemical Education, 88(6), 683–686.
Woods, E., Billinghurst, M., Looser, J., Aldridge, G., Brown, D., Garrie, B., et al. (2004). Augmenting the science centre and museum experience. In Proceedings of the International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia, Suntec City (pp. 230–236).
Wu, H.-K., Krajcik, J. S., & Soloway, E. (2001). Promoting understanding of chemical representations: Students’ use of a visualization tool in the classroom. Journal of Research in Science Teaching, 38(7), 821–842.
Wu, H. K., Lee, S. W. Y., Chang, H. Y., & Liang, J. C. (2013). Current status, opportunities and challenges of augmented reality in education. Computers & Education, 62, 41–49.
Acknowledgements
This work is supported in part by the National Science Foundation awards RET Site EEC-1542286 and EEC-1132482, ITEST DRL: 1614085, DRK-12 DRL: 1417769, and GK-12 Fellows DGE: 0741714, and NY Space Grant Consortium grant 76156-10488.
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Appendices
Appendix A: SMLTB User Interface
Appendix B: MMRTB User Interface
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Frank, J.A., Brill, A., Kapila, V. (2018). Mobile Cyber-Physical Labs: Integration of Mobile Devices with System and Control Laboratories. In: Auer, M., Azad, A., Edwards, A., de Jong, T. (eds) Cyber-Physical Laboratories in Engineering and Science Education. Springer, Cham. https://doi.org/10.1007/978-3-319-76935-6_16
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