Development of an E-learning Platform for Storage, Simulation and Online Experimentation of Models of Physiological Processes

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.

[1]  Denis Noble,et al.  Computational modelling of biological systems: tools and visions , 2000, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[2]  David Gavaghan,et al.  Multi-scale computational modelling in biology and physiology , 2007, Progress in Biophysics and Molecular Biology.

[3]  P. Hunter,et al.  Computational physiology and the physiome project , 2004, Experimental physiology.

[4]  Alberto Cardoso,et al.  Demonstration of a remote control laboratory to support teaching in control engineering subjects , 2016 .

[5]  António Dourado,et al.  Internet-based resources to support teaching of modelling, simulation and control of physiological systems in biomedical engineering courses , 2016 .

[6]  Willie Miller,et al.  iLearning: The Future of Higher Education? Student Perceptions on Learning with Mobile Tablets , 2012 .

[7]  Alberto Cardoso,et al.  A Remote Lab to Simulate the Physiological Process of Ingestion and Excretion of a Drug , 2016, Int. J. Online Eng..

[8]  Vivek Venkatesh,et al.  Perceptions of Effectiveness of Instructional Uses of Technology in Higher Education in an Era of Web 2.0 , 2014, 2014 47th Hawaii International Conference on System Sciences.

[9]  Chau Khuong,et al.  Applying the cognitive theory of multimedia learning to the design of pharmacology learning resources , 2014 .

[10]  Donald Clark Psychological myths in e-learning , 2002, Medical teacher.

[11]  U Morgenstern,et al.  Benefits of Blended Learning in Biomedical Engineering , 2013, Biomedizinische Technik. Biomedical engineering.

[12]  Kam Hung Wong Development of an e-learning platform , 2012 .

[13]  R. Leipzig,et al.  The impact of E-learning in medical education. , 2006, Academic medicine : journal of the Association of American Medical Colleges.

[14]  Wolfgang Weiss,et al.  A Computational Systems Biology Software Platform for Multiscale Modeling and Simulation: Integrating Whole-Body Physiology, Disease Biology, and Molecular Reaction Networks , 2011, Front. Physio..