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Valentina Albano; Donatella Firmani; Luigi Laura; Jerin George Mathew; Anna Lucia Paoletti; Irene Torrente – Journal of Learning Analytics, 2023
Multiple-choice questions (MCQs) are widely used in educational assessments and professional certification exams. Managing large repositories of MCQs, however, poses several challenges due to the high volume of questions and the need to maintain their quality and relevance over time. One of these challenges is the presence of questions that…
Descriptors: Natural Language Processing, Multiple Choice Tests, Test Items, Item Analysis
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C. H., Dhawaleswar Rao; Saha, Sujan Kumar – IEEE Transactions on Learning Technologies, 2023
Multiple-choice question (MCQ) plays a significant role in educational assessment. Automatic MCQ generation has been an active research area for years, and many systems have been developed for MCQ generation. Still, we could not find any system that generates accurate MCQs from school-level textbook contents that are useful in real examinations.…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Automation, Test Items
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Cole, Brian S.; Lima-Walton, Elia; Brunnert, Kim; Vesey, Winona Burt; Raha, Kaushik – Journal of Applied Testing Technology, 2020
Automatic item generation can rapidly generate large volumes of exam items, but this creates challenges for assembly of exams which aim to include syntactically diverse items. First, we demonstrate a diminishing marginal syntactic return for automatic item generation using a saturation detection approach. This analysis can help users of automatic…
Descriptors: Artificial Intelligence, Automation, Test Construction, Test Items
Takshak Desai – ProQuest LLC, 2021
Reading comprehension can be analyzed from three points of view: Semantics, Assessment, and Cognition. Here, Semantics refers to the task of identifying discourse relations in text. Assessment involves utilizing these relations to obtain meaningful question-answer pairs. Cognition means categorizing questions according to their difficulty or…
Descriptors: Reading Comprehension, Semantics, Questioning Techniques, Language Processing
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Lado, Beatriz; Bowden, Harriet Wood; Stafford, Catherine A; Sanz, Cristina – Language Teaching Research, 2014
The current study compared the effectiveness of computer-delivered task-essential practice coupled with feedback consisting of (1) negative evidence with metalinguistic information (NE+MI) or (2) negative evidence without metalinguistic information (NE-MI) in promoting absolute beginners' (n = 58) initial learning of aspects of Latin…
Descriptors: Second Language Learning, Accuracy, Morphology (Languages), Syntax
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Hasson, Natalie; Dodd, Barbara; Botting, Nicola – International Journal of Language & Communication Disorders, 2012
Background: Sentence construction and syntactic organization are known to be poor in children with specific language impairments (SLI), but little is known about the way in which children with SLI approach language tasks, and static standardized tests contribute little to the differentiation of skills within the population of children with…
Descriptors: Alternative Assessment, Sentence Structure, Syntax, Language Processing
Stabler, Edward P., Jr. – 1986
A type of item used frequently in standardized testing involves the recognition of a sentence. Examples of such items are the sentence completion items, used in both the Scholastic Aptitude Test (SAT) and the Graduate Record Examination (GRE), and the sentence correction items used in the Test of Standard Written English. Tests that contain such…
Descriptors: Difficulty Level, Higher Education, Language Processing, Linguistic Difficulty (Inherent)