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Cattell, Lindsay; Bruch, Julie – Regional Educational Laboratory Mid-Atlantic, 2021
This report provides information for administrators in local education agencies who are considering early warning systems to identify at-risk students. Districts use early warning systems to target resources to the most at-risk students and intervene before students drop out. Schools want to ensure the early warning system accurately identifies…
Descriptors: At Risk Students, Identification, Artificial Intelligence, Dropout Prevention
Pamela Marie McDonald – ProQuest LLC, 2021
The purpose of this qualitative descriptive study was to explore how elementary educators described their support of twice-exceptional students using character strengths-based practices in promoting the domains of well-being in inclusive classrooms across the state of Arizona. Seligman's (2011) PERMA model and Seligman and Csikszentmihalyi's…
Descriptors: Elementary School Teachers, Gifted Disabled, Elementary School Students, Teaching Experience
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Stanovich, Keith E.; West, Richard F. – Teaching of Psychology, 2014
In this article the authors argue that distinguishing between rationality and intelligence helps explain how people can be, at the same time, intelligent and irrational (Stanovich, 2009). As such, researchers need to study separately the individual differences in cognitive skills that underlie intelligence and the individual differences in…
Descriptors: Intelligence, Responses, Cognitive Processes, Intelligence Quotient
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Masrai, Ahmed; Milton, James – TESOL International Journal, 2017
Research has shown that general vocabulary knowledge (e.g., Milton & Treffers-Daller, 2013), academic vocabulary knowledge (e.g., Townsend et al., 2012) and general intelligence (e.g., Laidra et al., 2007) are good predictors of academic achievement. While the effect of these factors has mostly been examined separately, Townsend et al. (2012)…
Descriptors: English (Second Language), Academic Achievement, Predictor Variables, Intelligence
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Scandura, Joseph M.; Novak, Elena – Technology, Instruction, Cognition and Learning, 2017
AuthorIT and TutorIT represent a fundamentally different approach to building and delivering adaptive learning systems. Intelligent Tutoring Systems (ITS) guide students as they solve problems. BIG DATA systems make pedagogical decisions based on average student performance. Decision making in AuthorIT and TutorIT is designed to model the human…
Descriptors: Intelligent Tutoring Systems, Decision Making, Knowledge Representation, Learning Theories
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Beauvais, Clémentine – History of Education Quarterly, 2017
This article focuses on teachers in the discourses of early twentieth-century proponents of intelligence testing in America. Teachers were often a targeted enemy in the academic literature on intelligence testing--their methods belittled, their unreliability emphasized. Yet, in part because teachers were essential for intelligence tests to be…
Descriptors: Intelligence Tests, Teacher Attitudes, Educational History, Discourse Analysis
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Ward, Monica – Research-publishing.net, 2017
The term Intelligent Computer Assisted Language Learning (ICALL) covers many different aspects of CALL that add something extra to a CALL resource. This could be with the use of computational linguistics or Artificial Intelligence (AI). ICALL tends to be not very well understood within the CALL community. There may also be the slight fear factor…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computational Linguistics, Natural Language Processing
McCarthy, Matthew T. – ProQuest LLC, 2017
Artificial intelligence (AI) that is based upon semantic search has become one of the dominant means for accessing information in recent years. This is particularly the case in mobile contexts, as search-based AI are embedded in each of the major mobile operating systems. The implications are such that information is becoming less a matter of…
Descriptors: Semantics, Translation, Computer Mediated Communication, Artificial Intelligence
Horne, Dana Meredith – ProQuest LLC, 2017
Emotional intelligence has been defined as "the ability to recognize the meanings of emotions and their relationships, and to reason and problem-solve on the basis of them" (Mayer, Caruso, & Salovey, 1999, p. 267). Despite the relevance of emotional intelligence to social work education, limited research has focused on the assessment…
Descriptors: Emotional Intelligence, Predictor Variables, Academic Achievement, Social Work
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Motallebzadeh, Khalil; Tabatabaee Yazdi, Mona – Cogent Education, 2016
The general purpose of the current study was to clarify the role and estimate the correlation of specific cognitive abilities with Second Language (L2) reading achievement of English Foreign Language (EFL) university students. Since there are not ample available studies about the cognitive correlates of reading comprehension in a second language,…
Descriptors: Correlation, Cognitive Ability, Second Language Learning, Reading Achievement
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Kotaman, Hüseyin – Teacher Development, 2016
The current study explored Turkish prospective early childhood teachers' emotional intelligence scores in order to determine whether levels indicated differentiations according to grade level, and parenting style. Participants responded to the Turkish version of the Parenting Style Inventory and Emotional Intelligence Scale (EIS). EIS also…
Descriptors: Foreign Countries, Preservice Teachers, Preschool Teachers, Emotional Intelligence
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Pietschnig, Jakob – Measurement: Interdisciplinary Research and Perspectives, 2016
Clark, Lawlor-Savage, and Goghari (this issue) provide an interesting comment on the explanatory framework of generational IQ test score changes over time in the general population (i.e., the Flynn effect). They argue that IQ test score gains are not due to genuine ability increases in the general population but are rather manifestations of…
Descriptors: Intelligence Quotient, Change, Generational Differences, Influences
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Self, John – International Journal of Artificial Intelligence in Education, 2016
This document tries to describe the events of the early days of AIED research that led to the AIED Conferences and Society and, in particular, the "International Journal of Artificial Intelligence in Education."
Descriptors: Periodicals, Artificial Intelligence, Educational Research, Educational History
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du Boulay, Benedict; del Soldato, Teresa – International Journal of Artificial Intelligence in Education, 2016
This paper describes the development and evaluation of a system called MORE (Motivational Reactive Plan) in the 1990s, designed with an explicit strategy to manage the learner's motivation on a minute-by-minute basis. Progress since the system was evaluated is outlined and our current thinking on the larger issues of the role that the learner's…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Student Motivation, Values
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Kristjánsson, Kristján – Journal of Moral Education, 2016
This article contains the responses of the author of Aristotelian Character Education (Routledge, 2015), Kristján Kristjánsson, to responses by three commentators, Randall Curren, Daniel Laspley and Christian Miller, published in this same issue of "JME."
Descriptors: Citizenship Education, Moral Values, Values Education, Philosophy
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