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On Mind Maps Evaluation: A Case of an Automatic Grader Development

  • Olga Maksimenkova
  • Alexey Neznanov
  • Iuliia Papushina
  • Andrei Parinov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 716)

Abstract

Nowadays, mind mapping is a rather popular educational technique. Moreover, mind maps became a part of modern educational trends like blended learning and computer-supported collaborative learning. Lots of mind mapping software tools are adopted to teaching and learning routines such as educational content delivery or assessment. This paper focuses on the additional automatic evaluation of digital educational mind maps gained from the existing procedures of assessments. The review of automatic graders which support the evaluation process demonstrated that some systematical work is done in automation grading by comparing students’ mind maps with a template. But lots of questions about automatic mind maps’ scoring by retrieving the data from a scored mind map are still open. This paper introduces the automatic grader for educational mind maps (AGEMM) which acts like a teacher’s assistant and calculates several quantitative metrics. The AGEMM is implemented as a web-service and interacted with digital mind maps prepared in the Coggle web-service through its API. The AGEMM is adopted to the Scientific Research Seminar of “Marketing” bachelor program in National Research University Higher School of Economics (Perm). Results demonstrate that scores from the AGEMM may be transformed to scales or criterial levels which are used to evaluation. Moreover, the AGEMM application revealed several problems and shew lines of development which we discuss in the paper.

Keywords

Mind map Education Collaboration Evaluation Grading Software 

Notes

Acknowledgment

The article was prepared within the framework of the Basic Research Program at the National Research University Higher School of Economics (HSE) and supported within the framework of a subsidy by the Russian Academic Excellence Project “5–100”.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Olga Maksimenkova
    • 1
  • Alexey Neznanov
    • 1
  • Iuliia Papushina
    • 2
  • Andrei Parinov
    • 1
  1. 1.National Research University Higher School of EconomicsMoscowRussian Federation
  2. 2.National Research University Higher School of EconomicsPermRussian Federation

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