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Bianchini, Paolo – Paedagogica Historica: International Journal of the History of Education, 2019
In the late nineteenth and early twentieth century, a number of Italian psychiatrists were convinced that medicine and education should work together to treat children with mental disabilities, then commonly defined as "feeble-minded". To this end they promoted the establishment of "Medico-Pedagogical Institutes", institutes,…
Descriptors: Psychiatry, Foreign Countries, Educational History, Psychiatric Hospitals
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Paquette, Luc; Baker, Ryan S. – Interactive Learning Environments, 2019
Learning analytics research has used both knowledge engineering and machine learning methods to model student behaviors within the context of digital learning environments. In this paper, we compare these two approaches, as well as a hybrid approach combining the two types of methods. We illustrate the strengths of each approach in the context of…
Descriptors: Comparative Analysis, Student Behavior, Models, Case Studies
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Bennett, Amy; Inglis, Matthew; Gilmore, Camilla – Journal of Educational Psychology, 2019
Parents are frequently advised to use number books to help their children learn the meaning of number words and symbols. How should these resources be designed to best support learning? Previous research has shown that number books typically include multiple concrete representations of number. However, a large body of mathematics education…
Descriptors: Numbers, Symbols (Mathematics), Mathematical Concepts, Learning Strategies
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Dempsey, Lynn; Skarakis-Doyle, Elizabeth – Early Child Development and Care, 2019
The purpose of this study was to explore pre-readers' comprehension of a story with competing character goals. Fifty-eight children in three age groups (2½-3 years; 3-4 years; and 4-5 years) were read a story in which the protagonist's goal was unstated and conflicted with the goal of the secondary character. Understanding of explicit story…
Descriptors: Preschool Children, Prereading Experience, Reading Comprehension, Story Telling
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Yeung, Chun-Kit; Yeung, Dit-Yan – International Journal of Artificial Intelligence in Education, 2019
The 2017 ASSISTments Data Mining competition aims to use data from a longitudinal study for predicting a brand-new outcome of students which had never been studied before by the educational data mining research community. Specifically, it facilitates research in developing predictive models that predict whether the first job of a student out of…
Descriptors: Data Analysis, Careers, Prediction, Employment
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Bartolucci, Marco; Mattioli, Francesco; Batini, Federico – International Journal of Game-Based Learning, 2019
In recent years, the authors have witnessed the rebirth of board games. This contribution aims to investigate the educational potential of non-random board games in two ways: the comparison of performances of "expert adult players" and "adult non-players" through a correlation study (n=45) and the comparison between the results…
Descriptors: Games, Expertise, Adults, Children
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Bizama Muñoz, Marcela; Saldaño Silva, Darling; Rodríguez Rodríguez, Cristina – Electronic Journal of Research in Educational Psychology, 2019
Introduction: Existing studies of the variables that can impact reading comprehension at intermediate levels of Primary Education are not entirely conclusive. The present study analyzes the contribution to reading comprehension made by domain-general skills, such as fluid intelligence (Gf) and working memory (WM), and domain-specific skills, such…
Descriptors: Short Term Memory, Reading Fluency, Reading Comprehension, Children
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Sennott, Samuel C.; Akagi, Linda; Lee, Mary; Rhodes, Anthony – Topics in Language Disorders, 2019
Artificially intelligent tools have given us the capability to use technology to address ever more complex challenges. What are the capabilities, challenges, and hazards of incorporating and developing this technology for augmentative and alternative communication (AAC)? "Artificial intelligence" (AI) can be defined as the capability of…
Descriptors: Augmentative and Alternative Communication, Artificial Intelligence, Knowledge Representation, Thinking Skills
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Fernández, Estrella; García, Trinidad; Gómez, Cristina; Areces, Débora; Rodríguez, Celestino – Electronic Journal of Research in Educational Psychology, 2019
Introduction: Further inquiry into constructs such as creativity, intelligence and scholastic abilities, and understanding how they relate to each other, can promote better understanding of the variables involved in academic achievement. Consequently, the objective of the present study was to examine the predictive value of creativity and multiple…
Descriptors: Foreign Countries, Creativity, Multiple Intelligences, Predictor Variables
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Verschueren, Karine; Lavrijsen, Jeroen; Weyns, Tessa; Ramos, Alicia; De Fraine, Bieke – New Directions for Child and Adolescent Development, 2019
Peer relationships form a key developmental context. The current study investigated differences in peer acceptance between high-ability and average-ability youth, from the perspectives of teachers, peers, and students. Relying on the person-group similarity model, we also tested whether high-ability students' acceptance would depend on the peer…
Descriptors: Gifted, Context Effect, Peer Acceptance, Comparative Analysis
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Mendaglio, Sal; Kettler, Todd; Rinn, Anne N. – Journal of Advanced Academics, 2019
Dabrowski's theory of positive disintegration has been associated with the psychology of giftedness for four decades, and Sal Mendaglio has significantly contributed to the thoughtful understanding of the theory throughout those 40 years. In this interview, Mendaglio discusses the relationship between the theory of positive disintegration and the…
Descriptors: Gifted, Interviews, Psychology, Correlation
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Mason, Blake; Rau, Martina A.; Nowak, Robert – Cognitive Science, 2019
Visual representations are prevalent in STEM instruction. To benefit from visuals, students need representational competencies that enable them to see meaningful information. Most research has focused on explicit conceptual representational competencies, but implicit perceptual competencies might also allow students to efficiently see meaningful…
Descriptors: Visual Aids, STEM Education, Task Analysis, Competence
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Luckin, Rosemary; Cukurova, Mutlu – British Journal of Educational Technology, 2019
Interdisciplinary research from the learning sciences has helped us understand a great deal about the way that humans learn, and as a result we now have an improved understanding about how best to teach and train people. This same body of research must now be used to better inform the development of Artificial Intelligence (AI) technologies for…
Descriptors: Instructional Design, Educational Technology, Artificial Intelligence, Mathematics
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Rosé, Carolyn P.; McLaughlin, Elizabeth A.; Liu, Ran; Koedinger, Kenneth R. – British Journal of Educational Technology, 2019
Using data to understand learning and improve education has great promise. However, the promise will not be achieved simply by AI and Machine Learning researchers developing innovative models that more accurately predict labeled data. As AI advances, modeling techniques and the models they produce are getting increasingly complex, often involving…
Descriptors: Discovery Learning, Man Machine Systems, Artificial Intelligence, Models
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Kleitman, Sabina; Hui, Jessica Sik-Wai; Jiang, Yixin – Metacognition and Learning, 2019
While some individuals are able to confidently make competent choices, others make poor decisions but are unjustifiably confident. What are their individual characteristics? This study examined individual differences in cognitive and metacognitive competence and arrogance. In doing so, we determined the role of metacognitive confidence and…
Descriptors: Cognitive Processes, Metacognition, Individual Differences, Self Esteem
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