Tuesday, August 23, 2016

Visualizing Internet of Things in Education:Autumn for Extant Teachers ?


  • Student Centric Learning Management Systems will rule the realm of Internet of Things.  Students will learn with greater autonomy and will be on their own rather than be spoon fed. 
  • Learning process would be driven by dashboard reflexes. Students would have access through a dashboard to all data that affect them.  
  • Teachers will have a dashboard too. Manuals for teachers will set limits for dashboard usage; the role of on campus teacher will shrink. 
  • Data from all connected IoT devices, including EI sensors, and student wearables will facilitate student technology solutions. 
  • Skilled technological staff will extract, develop and provide solutions. Data analytics department will emerge as most important support service.
  • The solutions will be useful to management of students even when they are off campus. There will be enhanced use of mobile technologies. Academic management, study process management and support services will be digitized and integrated. 
  • Students will be reassured with 24/7 sensor driven personal attention.
  • Applications will be developed to meet student needs ranging from knowledge doubts to mood swings to anxiety attacks. Apps might make learning game oriented.  They will offer personalized strategies to combat absorption apprehensions in students’ minds.
  • Skill shortage of technology support providers will hit hard. There will be an influx of technology professionals in to the education industry. 
  • Departments like language will 'wither away' to computer based learning. Extant language teachers may have to re-skill  or exit. Skills gap will  impact edu-thinking. As the industry transforms, EIs will realize they do  not really have all the data and analytics skills that are required.  
  • Information would have a micro and a micro dimension. At the micro level it is each student and teacher; at macro level it will be aggregated data watched keenly for trends. 
  • Armed with sets of voluminous data and analytics, research will emerge as more important than teaching. 


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