Analytics Using Activity Trackers in the Field of Education

Ankit Sharma, Udita Prajapati, Vivekanandan Kumar, Kinshuk

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

1 Citation (Scopus)

Abstract

Today activity trackers are used as a major tool for tracking, monitoring, and quantifying health aspects in the form of physiological data. Such wearable trackers can be efficiently utilised in other fields apart from healthcare. This paper shows how an activity tracker can be used to create a real time application for monitoring the activity of a student by parents as well as school/college authority thereby deducing whether the student is actually present in the class or not. Various activity trackers provide an Application Programming Interface (API) of their own to allow a third party application to access user's data from their server. Other data sets like surrounding noise level and location of the student have been used in combination with the step count of the student to produce real time inferences. This research paper gives an insight of how activity trackers can be utilised in the field of education thereby opening vast opportunities of data analysis and prediction in this field.

Original languageEnglish
Title of host publicationProceedings - IEEE 7th International Conference on Technology for Education, T4E 2015
EditorsSridhar Iyer, Kinshuk, Venkatesh Choppella
Pages31-34
Number of pages4
ISBN (Electronic)9781467395090
DOIs
Publication statusPublished - 29 Jan. 2016
Event7th IEEE International Conference on Technology for Education, T4E 2015 - Warangal, India
Duration: 10 Dec. 201512 Dec. 2015

Publication series

NameProceedings - IEEE 7th International Conference on Technology for Education, T4E 2015

Conference

Conference7th IEEE International Conference on Technology for Education, T4E 2015
Country/TerritoryIndia
CityWarangal
Period10/12/1512/12/15

Keywords

  • activity trackers
  • fuzzy neural network
  • oAuth
  • predictive analysis
  • real time activity monitoring
  • step count

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