Knowledge Assessment Based on Evaluation of 3D Graphics Annotation in Lesson Context

  • Authors:
  • Dorian Gorgan;Teodor Stefanut;Madalina Veres;Istvan Gabos

  • Affiliations:
  • Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania 400027;Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania 400027;Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania 400027;Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania 400027

  • Venue:
  • USAB '08 Proceedings of the 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society on HCI and Usability for Education and Work
  • Year:
  • 2008

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Abstract

Instead of classical user interfaces based on forms, the graphics annotation proposes another type of user interaction providing support for free expressions, creativity, manual ability, and artistic imagination. Moreover the graphics annotation directly on the surface of 3D eLearning objects requires the development of new graphics algorithms, annotation models, and interaction techniques. This paper reports the experiments developed through the eTrace eLearning Environment concerning with possibility of using the 3D graphics annotation in the context of eLearning lessons. The research addresses a few subjects such as the appropriate model of the 3D graphics annotation that support the automatic evaluation, lesson context based annotation model and processing, interaction techniques for annotation description, drawing and visualization. The work concerns with practical solutions for all the steps through which the teacher defines the annotation related constraints, the system records the annotation specifications within the lesson structure, the user carries out the graphics annotation based answer, the system processes the annotation, quantifies the answer and computes the final mark. This paper highlights mainly the first step of the 3D graphics annotation model description. The research opens new opportunities for graphics annotation based knowledge assessment in eLearning applications against the well known and limited multiple choice questions.