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IJIET 2014 Vol.4(4): 297-301 ISSN: 2010-3689
DOI: 10.7763/IJIET.2014.V4.417

Towards Massively Personal Education through Performance Evaluation Analytics

Fernando Koch and Chaitanya Rao

Abstract—We are looking for new ways to instrument classrooms towards the ideals of adaptive learning environments and massively personal education. In this work, we are focusing on a framework to provide affordable alternatives for data collection, information services, and Analytic models about the classroom environment. This development advances the state-of-the-art by introducing an alternative to analyse the education performance based on differentiated multi-dimensional data and large data sets of relevant data and information. We designed a proof-of-concept experiment to detect variations of level of attentiveness, activity and task performance. In our initial tests, we could successfully collect and analyse relevant signals in a classroom environment and relate them to education performance.

Index Terms—Massive education, learning analytics, big data, ambient intelligence.

F. Koch is with the SAMSUNG Research Institute, in Campinas, Brazil. He was with IBM Research, Brazil, by the time he worked on this paper (e-mail: fernando.koch@samsung.com).
C. Rao is with IBM Research, in Melbourne, Australia (e-mail: chairao@au1.ibm.com).


Cite: Fernando Koch and Chaitanya Rao, "Towards Massively Personal Education through Performance Evaluation Analytics," International Journal of Information and Education Technology vol. 4, no. 4, pp. 297-301, 2014.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net


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