Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/78517
Title: Adaptive e-assessment system: A general approach
Author: Bañeres Besora, David
Baró Solé, Xavier
Guerrero Roldán, Ana Elena
Rodríguez-González, M. Elena  
Others: Universitat Oberta de Catalunya (UOC)
Keywords: adaptive assessment
adaptive learning
trust
security
e-learning
Issue Date: Jul-2016
Publisher: International Journal of Emerging Technologies in Learning
Citation: Bañeres, D., Baró Solé, X., Guerrero-Roldán, A.E. & Rodríguez González, M.E. (2016). Adaptive e-Assessment System: a General Approach. International Journal of Emerging Technologies in Learning, 11(7), 16-23. doi: 10.3991/ijet.v11i07.5888
Also see: http://dx.doi.org/10.3991/ijet.v11i07.5888
Abstract: On any type of course (on site or online), a learner is evaluated whether he has acquired the knowledge and competences provided in the course. The evaluation should be performed by evaluating his progression by means of the interaction in the classroom or assessment activities. Mostly, assessment activities are used to check the level of expertise of the learner. Typically, the assessment model and assessment activities of subjects in official programmes are the same for all the learners, since they should be evaluated having the same opportunities and conditions. However, when the learner is evaluated based on a continuous assessment model, he is demonstrating on each activity his knowledge and proficiency level and, at the same time, his reputation could be also built based on the actions he is performing within the course. Therefore, the assessment model can be particularly adapted for each learned based on this information. In this paper, we present a general system to adapt any component of the assessment process (model, activity, question...) based on different evidences gathered from the learning process of the learner.
Language: English
URI: http://hdl.handle.net/10609/78517
ISSN: 1863-0383MIAR
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