Abstract
Evaluating Learners’ Response in an e-Learning environment has been the topic of current research in areas of Human Computer Interaction, e-Learning, Education Technology and even Natural Language Processing. The current paper presents a twofold strategy to evaluate single word response of a learner in an e-Learning environment. The response of the learner to be evaluated would consist of errors committed due to lack of knowledge and also out of inadvertent mistakes committed while typing the answers. The proposed system benevolently considers such errors and still marks the learner partially. The feature incorporated in this work adds the human element to the mechanised system of evaluation and assessment in an e-Learning environment.
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Chakraborty, U.K., Konar, D., Roy, S. et al. Intelligent fuzzy spelling evaluator for e-Learning systems. Educ Inf Technol 21, 171–184 (2016). https://doi.org/10.1007/s10639-014-9314-z
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DOI: https://doi.org/10.1007/s10639-014-9314-z