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Lundqvist, Ulla – Anthropology & Education Quarterly, 2019
Detailed, longitudinal ethnographic approaches that explore how school success and failure evolve as interdependent sociohistorical positions are important for understanding how such processes affect unintended educational inequity in schooling. This study describes how one student comes to inhabit the identity of a disruptive student relative to…
Descriptors: Foreign Countries, Academic Achievement, Equal Education, Students
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Courchesne, Valérie; Girard, Dominique; Jacques, Claudine; Soulières, Isabelle – Journal of Autism and Developmental Disorders, 2019
Intelligence in minimally verbal children on the autism spectrum (AS) is at risk of being underestimated. The present study investigated testability and cognitive profile of preschool autistic children using conventional tools and strength-informed tools. Fifty-two AS children and fifty-four typical children matched on age (31-77 months) were…
Descriptors: Preschool Children, Diagnostic Tests, Disability Identification, Autism
Banks, Sheniqua LaFarris – ProQuest LLC, 2019
Goal-focused coaching is being used to assist individuals to set and reach personal and workplace goals (Grant, 2007). Thus, organizational leaders are increasingly investing in developing employee performance and well-being. The purpose of this study was to examine the relationship between Emotional Intelligence (EI) and coaching among…
Descriptors: Coaching (Performance), Goal Orientation, Employees, Well Being
Ferris, Kira Davad – ProQuest LLC, 2019
This study was an examination of the systemization of, and law and ethics concepts incorporated into, robotics and computer science courses that offered artificial intelligence as part of the curriculum of selected community colleges. The researcher completed a mixed-methods study using surveys and document analysis. The first area of…
Descriptors: Laws, Ethics, Robotics, Computer Science Education
Fesler, Lily; Dee, Thomas; Baker, Rachel; Evans, Brent – Stanford Center for Education Policy Analysis, 2019
Recent advances in computational linguistics and the social sciences have created new opportunities for the education research community to analyze relevant large-scale text data. However, the take-up of these advances in education research is still nascent. In this paper, we review the recent automated text methods relevant to educational…
Descriptors: Educational Research, Data Analysis, Automation, Methods
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Kayleigh K. Hyde; Marlena N. Novack; Nicholas LaHaye; Chelsea Parlett-Pelleriti; Raymond Anden; Dennis R. Dixon; Erik Linstead – Review Journal of Autism and Developmental Disorders, 2019
Autism spectrum disorder (ASD) research has yet to leverage "big data" on the same scale as other fields; however, advancements in easy, affordable data collection and analysis may soon make this a reality. Indeed, there has been a notable increase in research literature evaluating the effectiveness of machine learning for diagnosing…
Descriptors: Artificial Intelligence, Autism Spectrum Disorders, Clinical Diagnosis, Intervention
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Järvelä, Sanna; Gaševic, Dragan; Seppänen, Tapio; Pechenizkiy, Mykola; Kirschner, Paul A. – British Journal of Educational Technology, 2020
Collaborative learning (CL) can be a powerful method for sharing understanding between learners. To this end, strategic regulation of processes, such as cognition and affect (including metacognition, emotion and motivation) is key. Decades of research on self-regulated learning has advanced our understanding about the need for and complexity of…
Descriptors: Artificial Intelligence, Man Machine Systems, Affective Behavior, Cognitive Processes
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Yildiz, Muhammed Berke; Börekci, Caner – Journal of Educational Technology and Online Learning, 2020
Education systems produce a large number of valuable data for all stakeholders. The processing of these educational data and making studies on the future of education based on the data reveal highly meaningful results. In this study, an insight was tried to be developed on the educational data collected from ninth-grade students by using data…
Descriptors: Grade Prediction, Academic Achievement, Artificial Intelligence, Grade 9
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Jack, D. B.; Oguntayo, R. – Journal on Educational Psychology, 2020
Evidence from literature showed that lack of emotional and social intelligence is one of the reasons for disruptive behaviours among adolescents. This study investigated the effect of training on the emotional and social intelligence of secondary school students in Jos, Nigeria. The study involved 26 secondary school students comprising of 10…
Descriptors: Social Development, Emotional Development, Emotional Intelligence, Secondary School Students
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Charitopoulos, Angelos; Rangoussi, Maria; Koulouriotis, Dimitrios – International Journal of Artificial Intelligence in Education, 2020
The aim of this paper is to survey recent research publications that use Soft Computing methods to answer education-related problems based on the analysis of educational data 'mined' mainly from interactive/e-learning systems. Such systems are known to generate and store large volumes of data that can be exploited to assess the learner, the system…
Descriptors: Data Collection, Learning Analytics, Educational Research, Artificial Intelligence
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Kirby, Philip – Oxford Review of Education, 2020
The 'dyslexia debate' is resilient. In the media, a key component of the debate is the notion that dyslexia does not exist, popularised by a series of vociferous commentators. For them, dyslexia is an invention of overly-concerned parents, supported by a clique of private educational psychologists willing to offer a diagnosis -- for a fee -- even…
Descriptors: Dyslexia, Educational History, Educational Change, Learning Problems
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McClelland, James L. – First Language, 2020
Humans are sensitive to the properties of individual items, and exemplar models are useful for capturing this sensitivity. I am a proponent of an extension of exemplar-based architectures that I briefly describe. However, exemplar models are very shallow architectures in which it is necessary to stipulate a set of primitive elements that make up…
Descriptors: Models, Language Processing, Artificial Intelligence, Language Usage
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Azid, Nurulwahida; Md-Ali, Ruzlan – South African Journal of Education, 2020
The study reported on here aimed to examine the effectiveness of the successful intelligence interactive module (SIIM) that employs thinking skills using the successful intelligence theory. This was an empirical study that used mixed method analysis. The rationale for the development of this interactive module was to increase the analytical,…
Descriptors: Foreign Countries, Undergraduate Students, Thinking Skills, Creative Thinking
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Maharani, Rizqona; Marsigit, Marsigit; Wijaya, Ariyadi – Journal of Educational Research, 2020
This study examined the effect of collaborative learning with a scientific approach (SA) on the learning achievement in mathematics viewed from the students' multiple intelligences. This study compared two types of collaborative learning models, Three Steps Interview (TSI), and Think Pair Share (TPS). The participants of this study were grade 8…
Descriptors: Cooperative Learning, Multiple Intelligences, Mathematics Achievement, Teaching Methods
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Bak, Olga; Lesniak, Marcin Maciej – Educational Psychology, 2020
This study investigated the effectiveness of process-related praise, applied after a series of failures, as compared to trait-related praise and no feedback. Reaction to praise following social-skills tasks was compared to that following intellectual-skills tasks. Affect and self-esteem in the domains of intelligence and social sensitivity were…
Descriptors: Positive Reinforcement, Feedback (Response), Failure, Interpersonal Competence
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