Traditional automated essay scoring systems rely on carefully designed features to evaluate and score essays. The performance of such systems is tightly bound to the quality of the underlying features. However, it is laborious to manually design the most informative features for such a system. In this thesis, we develop a novel approach based on recurrent neural networks to learn the relation b...

e-Learning has some restrictions on how learning performance is assessed. Online testing is usually in the form of multiple-choice questions, without any essay type of learning assessment. Major reasons for employing multiple-choice tasks in e-learning include ease of implementation and ease of managing learner's responses. To address this limitation in online assessment of learning, this study...

    This study investigated the effects of different learning levels, including Remember an Instance (RI), Remember a Generality (RG), and Use a Generality (UG) in multiple-choice and essay tests on immediate and delayed retention. Three-hundred pre-intermediate students participated in the study. Reading passages with multiple-choice and essay questions in different levels of learning were giv...

  Background: The method of evaluation in students’ learning affects their studying mode. The aim of this study was to compare nursing students’ scores in essay and multiple-choice questions in Mother and Child Health examination in Shahrekord University of Medical Sciences. Methods: In this study, the  final scores of 121 of nursing students in a multiple-choice questionnaire consisting of 40 ...