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Статья

On mind maps evaluation: a case of an automatic grader development

Nowadays,  mind  mapping  is  rather  popular  educational  technique.  Like any other learning tools, 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 demonstrates 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 mind maps prepared in the Coggle web-service through  its API. The AGEMM is adopted to a bachelor course. 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.