Automated capture of paper-based evaluations to provide early feedback to students

David Jurado, Ricardo Maya, Federico Dominguez, Xavier Ochoa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Current Learning Management Systems (LMS) are able to use the data automatically captured from the actions of their users to provide immediate feedback to students and to provide a rich dataset to be mined or analyzed to understand and optimize the learning process. However, in traditional education, not all, or even the majority, of learning products are created or processed through the LMS. Traditional education still uses paper-based assignments and assessments as an integral part of the process. In these cases, the data contained in the LMS is often incomplete and do not provide a holistic view of the students' activities. To alleviate this problem, this work describes SARA, a system to automatically capture paper-based assignments and evaluations while the instructor is writing feedback and grading them. This information is uploaded automatically to the LMS to become part of both, the feedback provided to students and the data available for analyzing the learning process. This system is based on low-cost hardware and requires little configuration and intervention from the final user to work. An initial evaluation of the system provides evidence of the feasibility and usefulness of SARA in real-world learning environments.

Original languageEnglish (US)
Title of host publication2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538638941
DOIs
StatePublished - Jan 4 2018
Event2nd IEEE Ecuador Technical Chapters Meeting, ETCM 2017 - Salinas, Ecuador
Duration: Oct 16 2017Oct 20 2017

Publication series

Name2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017
Volume2017-January

Other

Other2nd IEEE Ecuador Technical Chapters Meeting, ETCM 2017
CountryEcuador
CitySalinas
Period10/16/1710/20/17

Keywords

  • Embedded System
  • LMS
  • computer vision
  • evaluation feedback
  • fiducial mark
  • paper based assessment

ASJC Scopus subject areas

  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

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  • Cite this

    Jurado, D., Maya, R., Dominguez, F., & Ochoa, X. (2018). Automated capture of paper-based evaluations to provide early feedback to students. In 2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017 (pp. 1-6). (2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETCM.2017.8247489