[PDF] Top 20 Automatic Question Generation for Vocabulary Assessment

... one question per target word. The testee sees the main question, the stem, followed by several answer choices, of which only one is correct (see Figure ...the question type, the tar- get word may ... See full document

... Although the distractors must have a different meaning from both the target word and the correct answer, they must also be able to distract the test takers from the correct answer. Because the present study focuses on ... See full document

... “diagram” assessment system and its support for an impressive variety of languages including Prolog, SQL, and ...Assignment assessment is done by an automated mechanism that analyzes the program across a ... See full document

... Questions are an integral part of teachers’ instructional activities. Teachers spend between 35% to 50% of their instructional time conducting questioning sessions (Cotton, 2001). Research in education (Hamilton, 1985; ... See full document

... Another engine that is capable of generating MCQs using a domain ontology is OntoQue (Al Yahya, 2011). Besides MCQs, the system is capable of generating true/false and FIB styles of questions. OntoQue has said to be ... See full document

... tomatic question generation systems can facilitate the learning process by alternating passages of text with questions that reinforce the material ...to automatic question generation ... See full document

... Asking questions from learners is said to facili- tate interest and learning (Chi, 1994), to recognize problem learning areas (Tenenberg and Murphy, 2005) to assess vocabulary (Brown et al., 2005) and reading ... See full document

... for automatic question generation is not ...for automatic question generation later in this ...real assessment questions will be used as competency ...competency ... See full document

... To choose distractors semantically similar to the gap-phrase, we used the word2vec tool (Mikolov et al. [2013]). However, word2vec requires input texts with millions of words to learn quality vec- tor representations. To ... See full document

... nunciation question performs best since it focuses only on the pinyin label, and its generation module is very ...The generation of word selection questions is much more ...collocation ... See full document

... on automatic question generation dates back to the late twentieth century, when Wolfe (1976) described an experimental computer-based educational system called ...of automatic question ... See full document

... Automatic generation of questions (AQG) is an important and challenging research area in natural language ...as assessment of reading comprehension, intelligent tutoring, dia- logue agents, and ... See full document

... 439 | P a g e text and tokenize the given sentence. In the second stage of the proposed system, any one approach is used from the rule based approach, dictionary lookup approach and example based approach to generate the ... See full document

... Although most industry testing of complex software is conducted at the system level, most formal research has focused on the unit level. As a result, most system level testing techniques are only described informally. ... See full document

... (Myller 2007) presented a way to automatically generate prediction questions during a program visualization automatically and a proof of concept implementation of it .also presented different types of questions that ... See full document

... (a) Test taker-based division. We conducted four-fold cross-validation (CV) by dividing data regarding test takers, i.e. we divided the test takers into three quarters and one quar- ter, and used the responses to each ... See full document

... SQuAD (Rajpurkar et al., 2016): It contains 100K (question, answer) pairs obtained from 536 Wikipedia articles, where the answers are a span in the passage. For SQuAD, AQG has been tried from both sentences and ... See full document

... a question or a distractor is only related to a small number of sentences in the article, we should only use the related sen- tences to generate the distractor, but the standard attention has no emphasis on ... See full document

... Given a document, the gap-fill questions are gen- erated from it in three stages: sentence selection, key selection and distractor selection. Sentence se- lection involves identifying informative sentences in the ... See full document

... Due to the need for an SRL system in semantic question generation systems, we plan to design a supervised SRL system. Supervised, unsupervised and semi-supervised machine learning methods are applied in ... See full document