Research Article
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Year 2019, Volume: 3 Issue: 2, 82 - 94, 31.12.2019

Abstract

References

  • Abdelshkour, M.(2015). IoT, from Cloud to Fog Computing, https://blogs.cisco.com/perspectives/iot-from-cloud-to-fog-computing
  • Adkins, S.(2013).Ambient Insight's 2012-2017 Worldwide Mobile Learning Market Forecast: Premium Edition
  • ADL.(2016). Mobile Learning Handbook.Retrieved from, https://sites.google.com/a/adlnet.gov/mobile-learning-guide/home/
  • Amr Elsaadany and Mohamed Soliman (2017). Experimental Evaluation of Internet of Things in the Educational Environment iJEP ‒ Vol. 7, No. 3 https://doi.org/10.3991/ijep.v7i3.7187
  • Azimi, I., & Anzanpour, A., & Rahmani, A.M., & Liljeberg, P., & Salakoski, T. (2016). Medical warning system based on Internet of Things using fog computing. In Proceedings of the 2016 International Workshop on Big Data and Information Security (IWBIS), Jakarta, Indonesia, 18–19 October 2016; pp. 19–24.
  • Barker, C., & Sparrow, C. (2016). Technology and presentation skills teaching: activity theory as a tool for the design and evaluation of strategies for the use of video as a learning tool in presentation skills teaching in European, Journal of Law and Technology,Vol 7, No 3
  • Brown, J. & Haag, J. (2016). ADL Mobile Learning Handbook Advanced Distributed Learning, Washington, DC
  • Cha, H. J., Yang, H. K., & Song, Y. J. (2018). A Study on the Design of Fog Computing Architecture Using Sensor Networks. Sensors (Basel, Switzerland), 18(11), 3633. doi:10.3390/s18113633
  • Collier, J. (2018).Three Ways Fog Computing is Impacting Education. Retrived from https://www.iotevolutionworld.com/fog/articles/439066-three-ways-fog-computing-impacting-education.htm
  • Ducange, P.,&Pecori, R., & Mezzina,P. (2017). A glimpse on big data analytics in the framework of marketing strategies. Soft Comput.,1–18, doi:10.1007/s00500-017-2536-4.
  • Garba, A., B.,& Armarego, J., & Murray, D., &Kenworthy, W.(2016). "Review of the Information Security and Privacy Challenges in Bring Your Own Device (BYOD) Environments", J. Inf. Priv. Secur., vol. 11, pp. 38-54,
  • Gaved, M. & Peasgood, A. (2017). Fitting in Versus Learning: A Challenge for Migrants Learning Languages Using Smartphones. Journal of Interactive Media in Education. 2017(1), p.1. DOI: http://doi.org/10.5334/jime.436
  • Heppard, T.(2012). Bye, Bye Waterfall: 5 Steps to Implement Responsive Web Design. Retrieved from, http://readwrite.com/2012/05/10/bye-bye-waterfall-5-steps-to-implement responsive-web-design/
  • Jonathan, M. (2013). Fog Computing introduction to a New Cloud Evolution. Escrituras silenciadas: paisaje como historiografía. Spain:University of Alcala. ss.111–126.ISBN 978-84-15595-84-7
  • Meola,A .(2016).How IoT in education is changing the way we learn, Retrieved from http://www.businessinsider.com/internet-of-things-education-2016-9
  • Musti, S & Kashyap, V. (2013) Responsive Design: The Time is Now
  • Pappas,C. (2015). 7 Tips To Create Responsive Design For Mobile Learning. Retrieved from https://elearningindustry.com/7-tips-create-responsive-design-mobile-learning
  • Pecori, R., A. (2018). Virtual Learning Architecture Enhanced by Fog Computing and Big Data Streams. Future Internet, 10, 4.
  • Pinola, M.(2016). Mobile Computing Devices A Brief Guide to Mobile Devices Including Mini Pcs and Mobile Internet Devices. Retrieved from https://www.lifewire.com /guide-to-mobile-computing-devices-2377708
  • Quigley, F.(2015). 5 Instructional Design Tips to Create Modern Multi-Device Learning Content. Retrieved fromhttps://www.td.org /Publications/Blogs/Learning-Technologies-Blog/2015/04/5-Instructional-Design-Tips-to-Create-Modern-Multi-Device-Learning-Content
  • Seebo. (2019). IoT Design: Everything You Need to Know. Retrieved from https://www.seebo.com/iot-design/
  • The Irish Institute of Training & Development (IITD).(2017). Responsive eLearning Design & Development. Retrieved from https://www.iitd.ie/Portals/0/Knowledge%20Centre/responsive-elearning-design-development%20(1).pdf
  • Varma, P. (2014). Design Challenges and Considerations for Responsive eLearning. Retrieved from https://www.upsidelearning.com/blog/index.php/tag/responsive-elearning/
  • Wang, M. J. Wu, G. Li, J. Li, Q. Li. (2017). “Fog Computing based Content- aware Taxonomy for Caching Optimization in Information-Centric Net- works” IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 474-475.

Responsive Mobile Learning (M-Learning) Application Design and Architecture in Fog Computing

Year 2019, Volume: 3 Issue: 2, 82 - 94, 31.12.2019

Abstract

Today, digital transformation is changing the educational and social life rapidly. In contrast, organizations and educational institutions, developers, and end users do not benefit from cloud-based mobile technologies to the desired level. Mobile systems are used extensively for educational purposes in the Internet of Things (IoT) environment, and the number of online students is increasing. The real problem is how user-friendly, aesthetic mobile learning courses can be effectively delivered on different mobile devices in the desired performance and manner. The responsive design developed with fog computing should be able to provide the ability to design and use mobile learning lessons with sufficient performance, automatically adapted to any browser or device. This should ensure that every person of the target audience can benefit from the lessons without worrying about screen size, resolution, speed and even security. In this study, the fog informatics teaching strategies of mobile learning sensitive teaching design are discussed. The fog computing architecture that can be used with responsive mobile learning, utilizing mobile computing to provide seamless and low latency mobile devices, is described. Finally, a fog-based, responsive designed mobile learning education architecture has been compiled with a better understanding of the lessons and a suitable structure for the use of mobile devices in education.

References

  • Abdelshkour, M.(2015). IoT, from Cloud to Fog Computing, https://blogs.cisco.com/perspectives/iot-from-cloud-to-fog-computing
  • Adkins, S.(2013).Ambient Insight's 2012-2017 Worldwide Mobile Learning Market Forecast: Premium Edition
  • ADL.(2016). Mobile Learning Handbook.Retrieved from, https://sites.google.com/a/adlnet.gov/mobile-learning-guide/home/
  • Amr Elsaadany and Mohamed Soliman (2017). Experimental Evaluation of Internet of Things in the Educational Environment iJEP ‒ Vol. 7, No. 3 https://doi.org/10.3991/ijep.v7i3.7187
  • Azimi, I., & Anzanpour, A., & Rahmani, A.M., & Liljeberg, P., & Salakoski, T. (2016). Medical warning system based on Internet of Things using fog computing. In Proceedings of the 2016 International Workshop on Big Data and Information Security (IWBIS), Jakarta, Indonesia, 18–19 October 2016; pp. 19–24.
  • Barker, C., & Sparrow, C. (2016). Technology and presentation skills teaching: activity theory as a tool for the design and evaluation of strategies for the use of video as a learning tool in presentation skills teaching in European, Journal of Law and Technology,Vol 7, No 3
  • Brown, J. & Haag, J. (2016). ADL Mobile Learning Handbook Advanced Distributed Learning, Washington, DC
  • Cha, H. J., Yang, H. K., & Song, Y. J. (2018). A Study on the Design of Fog Computing Architecture Using Sensor Networks. Sensors (Basel, Switzerland), 18(11), 3633. doi:10.3390/s18113633
  • Collier, J. (2018).Three Ways Fog Computing is Impacting Education. Retrived from https://www.iotevolutionworld.com/fog/articles/439066-three-ways-fog-computing-impacting-education.htm
  • Ducange, P.,&Pecori, R., & Mezzina,P. (2017). A glimpse on big data analytics in the framework of marketing strategies. Soft Comput.,1–18, doi:10.1007/s00500-017-2536-4.
  • Garba, A., B.,& Armarego, J., & Murray, D., &Kenworthy, W.(2016). "Review of the Information Security and Privacy Challenges in Bring Your Own Device (BYOD) Environments", J. Inf. Priv. Secur., vol. 11, pp. 38-54,
  • Gaved, M. & Peasgood, A. (2017). Fitting in Versus Learning: A Challenge for Migrants Learning Languages Using Smartphones. Journal of Interactive Media in Education. 2017(1), p.1. DOI: http://doi.org/10.5334/jime.436
  • Heppard, T.(2012). Bye, Bye Waterfall: 5 Steps to Implement Responsive Web Design. Retrieved from, http://readwrite.com/2012/05/10/bye-bye-waterfall-5-steps-to-implement responsive-web-design/
  • Jonathan, M. (2013). Fog Computing introduction to a New Cloud Evolution. Escrituras silenciadas: paisaje como historiografía. Spain:University of Alcala. ss.111–126.ISBN 978-84-15595-84-7
  • Meola,A .(2016).How IoT in education is changing the way we learn, Retrieved from http://www.businessinsider.com/internet-of-things-education-2016-9
  • Musti, S & Kashyap, V. (2013) Responsive Design: The Time is Now
  • Pappas,C. (2015). 7 Tips To Create Responsive Design For Mobile Learning. Retrieved from https://elearningindustry.com/7-tips-create-responsive-design-mobile-learning
  • Pecori, R., A. (2018). Virtual Learning Architecture Enhanced by Fog Computing and Big Data Streams. Future Internet, 10, 4.
  • Pinola, M.(2016). Mobile Computing Devices A Brief Guide to Mobile Devices Including Mini Pcs and Mobile Internet Devices. Retrieved from https://www.lifewire.com /guide-to-mobile-computing-devices-2377708
  • Quigley, F.(2015). 5 Instructional Design Tips to Create Modern Multi-Device Learning Content. Retrieved fromhttps://www.td.org /Publications/Blogs/Learning-Technologies-Blog/2015/04/5-Instructional-Design-Tips-to-Create-Modern-Multi-Device-Learning-Content
  • Seebo. (2019). IoT Design: Everything You Need to Know. Retrieved from https://www.seebo.com/iot-design/
  • The Irish Institute of Training & Development (IITD).(2017). Responsive eLearning Design & Development. Retrieved from https://www.iitd.ie/Portals/0/Knowledge%20Centre/responsive-elearning-design-development%20(1).pdf
  • Varma, P. (2014). Design Challenges and Considerations for Responsive eLearning. Retrieved from https://www.upsidelearning.com/blog/index.php/tag/responsive-elearning/
  • Wang, M. J. Wu, G. Li, J. Li, Q. Li. (2017). “Fog Computing based Content- aware Taxonomy for Caching Optimization in Information-Centric Net- works” IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 474-475.
There are 24 citations in total.

Details

Primary Language English
Subjects Studies on Education
Journal Section Research Article
Authors

Alaattin Parlakkılıç This is me 0000-0002-6834-6839

Publication Date December 31, 2019
Published in Issue Year 2019 Volume: 3 Issue: 2

Cite

APA Parlakkılıç, A. (2019). Responsive Mobile Learning (M-Learning) Application Design and Architecture in Fog Computing. International Journal of Modern Education Studies, 3(2), 82-94.