Learners are often reported not to be motivated enough to attend to teacher feedback. Teachers also  tend  to  grade  learners’  writing  samples  when  providing  them  with  corrective  feedback though  they  know  it  may  divert  their  attention  away  from  teacher  feedback.  However,  not grading learner writings does not seem to be an option due to both learners’ demands for it and ins...

A basic statistic that students learn about in their classes is the standard deviation. Like any statistic, standard deviations are influenced by systematic factors and randomness. I propose that researchers should report “corrected” or “true” standard deviations and I show how to calculate them. The notion of “true” statistics comes out of classical test theory (see Lord and Novick, 1968; Gull...

Test-based accountability as well as value-added assessments and much experimental and quasi-experimental research in education rely on achievement tests to measure student skills and knowledge. Yet we know little regarding fundamental properties of these tests, an important example being the extent of test measurement error and its implications for educational policy and practice. While test v...

OBJECTIVE To develop and evaluate the psychometric properties of a modified Naturalistic Action Test (m-NAT) for Korean patients with impaired cognition. The NAT was originally designed to assess everyday action impairment associated with higher cortical dysfunction. METHODS We developed the m-NAT by adapting the NAT for the Korean cultural background. The m-NAT was modeled as closely as poss...

Grammatical error correction has been an active research area in the field of Natural Language Processing. This paper describes the grammatical error correction system developed at NTHU in participation of the CoNLL-2013 Shared Task. The system consists of four modules in a pipeline to correct errors related to determiners, prepositions, verb forms and noun number. Although more types of errors...

The parameters of statistical translation models are typically estimated from sentence-aligned parallel corpora. We show that significant improvements in the alignment and translation quality of such models can be achieved by additionally including wordaligned data during training. Incorporating wordlevel alignments into the parameter estimation of the IBM models reduces alignment error rate an...

Sequencing error presents a significant challenge to population genetic analyses using low-coverage sequence in general and single-pass reads in particular. Bias in parameter estimates becomes severe when the level of polymorphism (signal) is low relative to the amount of error (noise). Choosing an arbitrary quality score cutoff yields biased estimates, particularly with newer, non-Sanger seque...

This paper examines the standard string-matching approach to automated score following of an acoustic performance, looking at limitations imposed by both the score representation used and the matching approach. The approach is then extended through the incorporation of duration information and matchscores based on a model of transcriber error. The resulting score follower promises to allow comp...