The study focused on the effect of logical choice weight and corrected scoring methods on multiple choice Agricultural science test scores the study also investigated the interaction effect of logical choice weight and corrected scoring methods in schools ,and types of school in multiple choice agricultural science test. The researcher used a combination of survey type and one short experimenta...

in assessing foreign language writing, holistic and analytic scoring can be used to measure a variety of discourse and linguistic features. this study aimed to investigate the possible significant effect of analyt- ic and holistic assessments on improving writing skill among iranian efl learners. for this purpose, two groups of intermediate efl learners, after being homogenized, were divided in...

In this study, we present a pronunciation scoring method for second language learners of English (hereafter, L2 learners). This study presents a method using both confidence scoring and classifiers. Classifiers have an advantage over confidence scoring for specialization in the specific phonemes where L2 learners make frequent errors. Classifiers (Landmark-based Support Vector Machines) were tr...

Manually grading the Response to Text Assessment (RTA) is labor intensive. Therefore, an automatic method is being developed for scoring analytical writing when the RTA is administered in large numbers of classrooms. Our long-term goal is to also use this scoring method to provide formative feedback to students and teachers about students’ writing quality. As a first step towards this goal, int...

Customer credit scoring is a typical class of pattern classification problem with imbalanced dataset. A new customer credit scoring method based on the support vector domain description (SVDD) classification model was proposed in this paper. Main techniques of customer credit scoring were reviewed. The SVDD model with imbalanced dataset was analyzed and the predication method of customer credit...

Efficiently sampling the protein conformation space is a critical step in de novo protein structure modeling. One of the important challenges in sampling is the inaccuracy of available scoring functions, i.e., a scoring function is not always sufficiently accurate to distinguish the correct conformations from the alternatives and thereby exploring the very minimum of a scoring function does not...

Molecular docking is widely used to discovery novel ligands in structure-based drug design (SBDD) [1]. Over the past 15 years, various docking programs have been developed. Generally, flexible docking programs, such as DOCK, AutoDock, FlexX, GOLD and Glide, have the ability to predict protein-ligand complex structures with reasonable accuracy and speed. These docking programs are aimed at predi...