Student Learning Ability Assessment using Rough Set and Data Mining Approaches
A. Kangaiammal, R. Silambannan, C. Senthamarai, M. V. Srinath · International Journal of Modern Education and Computer Science · 2013
Abstract—All learners are not able to learn anything and everything complete. Though the learning mode and medium are different in e-learning mode and in classroom learning, similar activities are required in both the modes for teachers to observe and assess the learner(s). Student performance varies considerably depending upon whether a task is presented as a multiple-choice question, an open-ended question, or a concrete performance task [3]. Due to the dominance of e-learning, there is a strong need for an assessment which would report the learning ability of a learner based on the learning skills under various stages. This paper focuses on assessment through multiple choice questions at the beginning and at the end of learning. The learning activities of the learner are tracked during