Guided retrieval practice of educational materials using automated scoring.

Guided Retrieval Practice of Educational Materials Using Automated Scoring

Automated scoring of originality using semantic representations

Originality, a key aspect of creativity, is difficult to measure. We tested the relationship between originality and similarity in two semantic spaces: latent semantic analysis (LSA) and pointwise mutual information (PMI). Similarity in both spaces was negatively correlated with human judgments of originality of responses on a test of divergent thinking. PMI was correlated more strongly both wi...

Automated pronunciation scoring using confidence scoring and landmark-based SVM

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...

Retrieval–travel-time model for free-fall-flow-rack automated storage and retrieval system

Automated storage and retrieval systems (AS/RSs) are material handling systems that are frequently used in manufacturing and distribution centers. The modelling of the retrieval–travel time of an AS/RS (expected product delivery time) is practically important, because it allows us to evaluate and improve the system throughput. The free-fall-flow-rack AS/RS has emerged as a new technology for dr...

Automated Essay Scoring Using Machine Learning

We built an automated essay scoring system to score approximately 13,000 essay from an online Machine Learning competition Kaggle.com. There are 8 different essay topics and as such, the essays were divided into 8 sets which differed significantly in their responses to the our features and evaluation. Our focus for this essay grading was the style of the essay, which is an extension on the stud...