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Olney, Andrew M. – Grantee Submission, 2021
In contrast to simple feedback, which provides students with the correct answer, elaborated feedback provides an explanation of the correct answer with respect to the student's error. Elaborated feedback is thus a challenge for AI in education systems because it requires dynamic explanations, which traditionally require logical reasoning and…
Descriptors: Feedback (Response), Error Patterns, Artificial Intelligence, Test Format
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Buhr, Anthony P.; Jones, Robin M.; Conture, Edward G.; Kelly, Ellen M. – International Journal of Language & Communication Disorders, 2016
Background: It is already known that preschool-age children who stutter (CWS) tend to stutter on function words at the beginning of sentences. It is also known that phonological errors potentially resulting in part-word repetitions tend to occur on content words. However, the precise relation between word class and repetition type in preschool-age…
Descriptors: Stuttering, Preschool Children, Personal Narratives, Phonology
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Michaels, Natalie N.; Stewart, Timothy; Barredo, Ronald; Raynes, Edilberto; Edmundson, Deborah; Kunnu, Elizabeth – Forum on Public Policy Online, 2019
High-stakes testing can be a major hurdle for individuals who know the material well, but have trouble understanding the language of the test. Many people have difficulty understanding test questions when the wording of the question is different from the language variation typically used by the test-taker. This research builds on prior research…
Descriptors: High Stakes Tests, Multiple Choice Tests, Language Variation, Language Tests
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Louwerse, Max M.; Benesh, Nick – Cognitive Science, 2012
Spatial mental representations can be derived from linguistic and non-linguistic sources of information. This study tested whether these representations could be formed from statistical linguistic frequencies of city names, and to what extent participants differed in their performance when they estimated spatial locations from language or maps. In…
Descriptors: Spatial Ability, Maps, Language Processing, Cognitive Mapping
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Deane, Paul; Lawless, René R.; Li, Chen; Sabatini, John; Bejar, Isaac I.; O'Reilly, Tenaha – ETS Research Report Series, 2014
We expect that word knowledge accumulates gradually. This article draws on earlier approaches to assessing depth, but focuses on one dimension: richness of semantic knowledge. We present results from a study in which three distinct item types were developed at three levels of depth: knowledge of common usage patterns, knowledge of broad topical…
Descriptors: Vocabulary, Test Items, Language Tests, Semantics
Anderson, Kimberly; Mira, Mary Elizabeth – Southern Regional Education Board (SREB), 2014
The following profiles address the basic decisions and actions that state education policy-makers--in the state departments of education, unless otherwise noted--are taking to foster successful statewide implementation of the new standards and aligned assessments in 15 states. These profiles provide a descriptive overview of each state's…
Descriptors: State Standards, Academic Standards, Program Implementation, Outcome Measures
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Graesser, Arthur C.; D'Mello, Sidney K.; Craig, Scotty D.; Witherspoon, Amy; Sullins, Jeremiah; McDaniel, Bethany; Gholson, Barry – Journal of Interactive Learning Research, 2008
Relations between emotions (affect states) and learning have recently been explored in the context of AutoTutor. AutoTutor is a tutoring system on the Internet that helps learners construct answers to difficult questions by interacting with them in natural language. AutoTutor has an animated conversation agent and a dialog management facility that…
Descriptors: Computer Literacy, Natural Language Processing, Interaction, Tutoring