Abstract
The physiological phenomena are the result of complex interactions between several components in wider biological scales, which is challenging, for the human eye, to understand. Consequently, in biomedical engineering, given the massive amount of contexts and different areas to integrate, comes often the need for teaching approaches and resources out of the traditional scenario. Currently, there is an increasing growth of computer-based instructions and it is already known numerous of its advantages. This multimedia learning, in addition to take a leading role in the demonstration of complex physiological processes and simulation of biological settings, can also save learning time and make tuition more motivating. In the last few years, e-learning platforms have increased attractiveness, appearing several alternatives, such as theoretical approaches based on multimedia resources, computational modeling tools and virtual/remote laboratories. This work intends to present an online platform that applies the features stated above to specific scientific papers and perform a critical review to its content. The platform must store all these data and interact with the user through a web-based interface.
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References
Crampin, E.J., Halstead, M., Hunter, P., Nielsen, P., Noble, D., Smith, N., Tawhai, M.: Computational physiology and the physiome project. Exp. Physiol. 89(1), 1–26 (2004)
Lin, H.S., Wooley, J.C. (eds.) Catalyzing inquiry at the interface of computing and biology, pp. 117–204. National Academies Press (2005)
Eissing, T., Kuepfer, L., Becker, C., Block, M., Coboeken, K., Gaub, T., Goerlitz, L., Jaeger, J., Loosen, R., Ludewig, B., Meyer, M., Niederalt, C., Sevestre, M., Siegmund, H., Solodenko, J., Thelen, K., Telle, U., Weiss, W., Wendl, T., Willmann, S., Lippert, J.: A computational systems biology software platform for multiscale modeling and simulation: integrating whole-body physiology, disease biology, and molecular reaction networks. Frontiers Physiol. 2, 4 (2011)
Southern, J., Pitt-Francis, J., Whiteley, J., Stokeley, D., Kobashi, H., Nobes, R., Kadooka, Y., Gavaghan, D.: Multi-scale computational modelling in biology and physiology. Prog. Biophys. Mol. Biol. 96(1), 60–89 (2008)
Kohl, P., Noble, D., Winslow, R.L., Hunter, P.J.: Computational modelling of biological systems: tools and visions. Philos. Trans. R. Soc. Lond. A Math. Phys. Eng. Sci. 358(1766), 579–610 (2000)
Engineering in Medicine and Biology Society (EMB): About Biomedical Engineering, http://www.embs.org/about-biomedical-engineering. Accessed 27 May 2016
Khuong, C., Davis, E., Hodgson, W.: Applying the cognitive theory of multimedia learning to the design of pharmacology learning resources. In: Proceedings of the Australian Conference on Science and Mathematics Education (formerly UniServe Science Conference) (2004)
Kožuško, J., Dietrich, H., Abdel-Haq, A., Weichelt, C., Hebestadt, S., Kuß, J., Rudolph, I., Malberg, H., Morgenstern, U.: Benefits of blended learning in biomedical engineering. Biomedical Engineering/Biomedizinische Technik (2013)
Cardoso, A., Osório, D., Leitão, J., Sousa, V., Teixeira, C.: A remote lab to simulate the physiological process of ingestion and excretion of a drug. Int. J. Online Eng. 12(4), 74–76 (2016)
Clark, D.: Psychological myths in e-learning. Med. Teach. 24(6), 598–604 (2002)
Ruiz, J.G., Mintzer, M.J., Leipzig, R.M.: The impact of e-learning in medical education. Acad. Med. 81(3), 207–212 (2006)
Venkatesh, V., Croteau, A.M., Rabah, J.: Perceptions of effectiveness of instructional uses of technology in higher education in an era of Web 2.0. In: 47th IEEE Hawaii International Conference on System Sciences (HICSS), pp. 110–119 (2014)
Rossing, J.P., Miller, W.M., Cecil, A.K., Stamper, S.E.: iLearning: the future of higher education? Student perceptions on learning with mobile tablets. J. Sch. Teach. Learn. 12(2), 1–26 (2012)
Beddall-Hill, N.L., Cornelius, S., Gaved, M., Gemmell, A., Marston, P., Scanlon, E., Traxler, J., Wishart, J., Woodgate, D., Fraser, D.S., Martin, S.: Making mobile learning work: case studies of practice. Discussion Papers in Education, ESCalate: HEA Subject Centre for Education, Bristol (2011)
https://www.joomla.org/. Accessed 27 May 2016
http://www.numericjs.com/. Accessed 27 May 2016
https://plot.ly/javascript/. Accessed 27 May 2016
Cardoso, A., Teixeira, C., Henriques, J., Dourado, A.: Internet-based resources to support teaching in modelling, simulation and control of physiological systems in biomedical engineering courses. In: 11th IFAC Symposium on Advances in Control Education, Bratislava, Slovakia, pp. 332–337 (2016)
Cardoso, A., Sousa, V., Gil, P.: Demonstration of a remote control laboratory to support teaching in control engineering subjects. In: 11th IFAC Symposium on Advances in Control Education, Bratislava, Slovakia, pp. 226–229 (2016)
Acknowledgements
This work was partially supported by Fundação Calouste Gulbenkian under U-Academy project [Project 2015/2016 FCG-138259].
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Oliveira, C., Teixeira, C., Cardoso, A. (2017). Development of an E-learning Platform for Storage, Simulation and Online Experimentation of Models of Physiological Processes. In: Auer, M., Guralnick, D., Uhomoibhi, J. (eds) Interactive Collaborative Learning. ICL 2016. Advances in Intelligent Systems and Computing, vol 545. Springer, Cham. https://doi.org/10.1007/978-3-319-50340-0_56
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DOI: https://doi.org/10.1007/978-3-319-50340-0_56
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