As Schmidt (2008) states, deeper engagement with new vocabulary as induced by tasks clearly increases the chances of learning those words. This engagement is theoretically clarified by the involvement load hypothesis (ILH, Laufer and Hulstijn, 2001), based on which the involvement index of each task can be measured. The present study was designed to test ILH by evaluating the impact of 4 differ...

As Schmidt (2008) states, deeper engagement with new vocabulary as induced by tasks clearly increases the chances of learning those words. This engagement is theoretically clarified by the involvement load hypothesis (ILH, Laufer and Hulstijn, 2001), based on which the involvement index of each task can be measured. The present study was designed to test ILH by evaluating the impact of 4 differ...

O teste de Cloze é amplamente utilizado na avaliação da compreensão leitura escolares. Estudos indicam que os resultados do por razão fixa se relacionam com a escrita, sugerindo esse formato dependente dessa habilidade linguística. Destarte, o objetivo desta pesquisa foi investigar interferência dos erros escrita para desempenho no fixa. Participaram deste estudo 1842 alunos, provenientes das c...

A standard correction for random guessing (cfg) formula on multiple-choice and Yes/Noexaminations was examined retrospectively in the scores of the intermediate female EFL learners in an English language school. The correctionwas a weighting formula for points awarded for correct answers,incorrect answers, and unanswered questions so that the expectedvalue of the increase in test score due to g...

We describe a method to semi-automatically generate incorrect choices, or distractors, for cloze (fill-in-the-blank) questions. We generated distractors aimed at revealing what type of misunderstanding a student was having. English as a Second Language learners answered a series of cloze questions that presented distractors generated by our method. We analyzed their answers in order to see how ...

This paper describes an ensemble system submitted as part of the LSDSem Shared Task 2017 the Story Cloze Test. The main conclusion from our results is that an approach based on semantic similarity alone may not be enough for this task. We test various approaches and compare them with two ensemble systems. One is based on voting and the other on logistic regression based classifier. Our final sy...

We use vector space models (VSMs) as explicit models of word relations that influence the N400, and use this connection to predict N400 amplitude in an ERP study by Federmeier and Kutas (1999). We find that the VSM-based model is able to capture key elements of the authors’ manipulations and results, accounting for aspects of the results that are unexplained by cloze probability. This demonstra...