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Optical Mark Recognition in Student Continuous Assessment

2014; Institute of Electrical and Electronics Engineers; Volume: 9; Issue: 4 Linguagem: Inglês

10.1109/rita.2014.2363005

2374-0132

Jose Luis Perez-Benedito, Enrique Querol Aragón, Juan Alonso Alriols, Ljiljana Medić Pejić,

Intelligent Tutoring Systems and Adaptive Learning

To improve the professor time management, a study using optical mark recognition has been carried out. A free software package [automultiple choice (AMC)] and low-cost software (GEXCAT) has been tested on the evaluation of several groups of UPM students. This paper is the beginning of a UPM educational innovation project. As a result of the experience, both softwares are analyzed to develop in the future a new GEECA version, including optical mark recognition for classroom evaluations. The updates made to GEECA 2013 are presented and the adaptation of GEECA to work with AMC and GEXCAT.