Literaturnachweis - Detailanzeige
Autor/inn/en | Lamberti, Fabrizio; Sanna, Andrea; Paravati, Gianluca; Carlevaris, Gilles |
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Titel | Automatic Grading of 3D Computer Animation Laboratory Assignments |
Quelle | In: IEEE Transactions on Learning Technologies, 7 (2014) 3, S.280-290 (11 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1939-1382 |
DOI | 10.1109/TLT.2014.2340861 |
Schlagwörter | Foreign Countries; College Students; Computer Assisted Testing; Grading; Computer Simulation; Animation; Computer Graphics; Assignments; Computer Science Education; Student Evaluation; Evaluation Methods; Open Source Technology; Laboratories; Multiple Regression Analysis; Scores; Italy |
Abstract | Assessment is a delicate task in the overall teaching process because it may require significant time and may be prone to subjectivity. Subjectivity is especially true for disciplines in which perceptual factors play a key role in the evaluation. In previous decades, computer-based assessment techniques were developed to address the above-mentioned challenges and to automatically grade students' work in a variety of educational fields. In this paper, the application of automatic assessment strategies in the unexplored domain of computer graphics is discussed. In particular, a tool that is designed to evaluate student assignments for a 3D computer animation course taught at Politecnico di Torino University is presented. During laboratory examination sessions, students are requested to individually operate on the open-source Blender suite and to recreate a 3D animation similar to a reference one. Student's output is assessed against a set of similarity indicators, which are specifically designed to capture the technical and perceptual factors that would be blended in a traditional teacher's evaluation. A comparison of the results that are achieved by the computer-based tool with grades assigned by visual inspection confirms the effectiveness of the designed approach and displays a high-quality concurrence between automatic and manual evaluations. (As Provided). |
Anmerkungen | Institute of Electrical and Electronics Engineers, Inc. 445 Hoes Lane, Piscataway, NJ 08854. Tel: 732-981-0060; Web site: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4620076 |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2018/2/04 |