… assignments by exploring the usefulness of peer evaluations. As such, we ask whether …
’ peer evaluation correlate with their course performance. 1 Center for Learning Innovation, …

… mining applications and various classification algorithms, these algorithms have been applied
on different dataset to find out the efficiency of the algorithm and improve the performance …

… test batteries are unsuitable for teacher evaluation, but few systematic alternatives have … to
evaluate teachers and to propose an achievement-based model for teacher evaluation that is …

… This section focuses on the evaluation of comparative experiment based on five classification
models, whose performances of over two breast cancer datasets will also be presented. …

… performance evaluation. We consider the performance measures, the dataset and the
evaluation … One of the most influential performance analysis efforts for object tracking is PETS (…

… In this paper, we will evaluate the outlier rejection performance as well as the classification
accuracy of some classifiers. The evaluated classifiers include a statistical classifier (MQDF), …

… The teachers were told that the purpose of the research study was to investigate the effects
of self-evaluation and teacher evaluation on stu dent performance. They were told that there …

… Machine Learning is one such approach and it incorporates several techniques. We conduct
the performance analysis of some of the most typical machine learning methods used in …

… -based evaluation of student performance is required to evaluate student mastery of course
objectives, validate efficacy of this simulation learning … To this end an evaluation matrix was …

… This study attempted to propose an e-learning evaluation model comprising a collective
set of measures associated with an e-learning system. The research in this paper sought to …