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He, Chuanqi – Educational Philosophy and Theory, 2020
In case of that human civilization was viewed as an integrated organism, the Periodic Table of the Civilizations (PTOC in short) has been formulated and recommended based on the development level and periodicity of core elements of human civilization. It divides the frontier process of the human civilization from the birth of humankind to the end…
Descriptors: History, Agriculture, Knowledge Economy, Industrialization
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Wang, Ya-Ling; Hou, Huei-Tse; Tsai, Chin-Chung – Educational Gerontology, 2020
There is a growing body of research which explores the benefits to the elderly of playing digital games for knowledge acquisition, various skills enhancement and well-being. However, few systematic literature reviews have highlighted and updated the trends and findings regarding digital games designed for older users and learners. Also, a forced…
Descriptors: Computer Games, Older Adults, Skill Development, Classification
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Syriopoulou-Delli, Christine K.; Papaefstathiou, Elpis – International Journal of Developmental Disabilities, 2020
Background: Individuals with autism spectrum disorder (ASD) form a heterogeneous group, posing a challenge for clinical definition. Additional problems regarding the diverse clinical presentation arise from changes in diagnostic criteria according to the latest Diagnostic and Statistical Manual of Mental Disorders (DSM-5), with exclusion of…
Descriptors: Autism, Pervasive Developmental Disorders, Symptoms (Individual Disorders), Severity (of Disability)
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Noyes, Alexander; Dunham, Yarrow; Keil, Frank C. – Developmental Psychology, 2020
When faced with entities with potentially ambiguous category membership, adult category judgments are strongly biased toward dangerous and distinctive properties. For example, a cyanide-water mixture is categorized as cyanide. We used a developmental approach to better understand this cross-domain effect, which we term the asymmetric…
Descriptors: Bias, Classification, Evaluative Thinking, Attention
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Tovar, Ángel Eugenio; Rodríguez-Granados, Angélica; Arias-Trejo, Natalia – Developmental Science, 2020
The shape bias, a preference for mapping new word labels onto the shape rather than the color or texture of referents, has been postulated as a word-learning mechanism. Previous research has shown deficits in the shape bias in children with autism even though they acquire sizeable lexicons. While previous explanations have suggested the atypical…
Descriptors: Autism, Pervasive Developmental Disorders, Color, Novelty (Stimulus Dimension)
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Burton, Jared Z.; Warne, Russell T. – Teaching of Psychology, 2020
Intelligence is a well-studied construct in psychology that has correlational relationships with many educational, employment, and health outcomes. However, prior research indicates that incorrect beliefs about intelligence are widespread. In an effort to discern the degree to which the psychology curriculum is responsible for these inaccuracies,…
Descriptors: Intelligence, Psychology, Curriculum, Colleges
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King, Seth; Davidson, Kimberly; Chitiyo, Argnue; Apple, Derrick – Remedial and Special Education, 2020
Literature reviews allow education professionals to identify effective interventions and assess trends in research and practice. However, issues with transparency and the specific methods used in conducting literature searches have the potential to limit the utility of reviews. This study evaluated the description of article search procedures and…
Descriptors: Special Education, Literature Reviews, Educational Research, Journal Articles
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Pang, Bo; Nijkamp, Erik; Wu, Ying Nian – Journal of Educational and Behavioral Statistics, 2020
This review covers the core concepts and design decisions of TensorFlow. TensorFlow, originally created by researchers at Google, is the most popular one among the plethora of deep learning libraries. In the field of deep learning, neural networks have achieved tremendous success and gained wide popularity in various areas. This family of models…
Descriptors: Artificial Intelligence, Regression (Statistics), Models, Classification
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Leventhal, Brian C.; Grabovsky, Irina – Educational Measurement: Issues and Practice, 2020
Standard setting is arguably one of the most subjective techniques in test development and psychometrics. The decisions when scores are compared to standards, however, are arguably the most consequential outcomes of testing. Providing licensure to practice in a profession has high stake consequences for the public. Denying graduation or forcing…
Descriptors: Standard Setting (Scoring), Weighted Scores, Test Construction, Psychometrics
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Pashby, Karen; da Costa, Marta; Stein, Sharon; Andreotti, Vanessa – Comparative Education, 2020
This paper reports on a reflexive exercise contributing a meta-mapping of typologies of GCE and supplementary analysis of that mapping. Applying a heuristic of three main discursive orientations reflected in much of the literature on GCE -- neoliberal, liberal, and critical -- and their interfaces, we created a social cartography of how nine…
Descriptors: Global Education, Citizenship Education, Classification, Journal Articles
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Wan, Qian; Crossley, Scott; Allen, Laura; McNamara, Danielle – Grantee Submission, 2020
In this paper, we extracted content-based and structure-based features of text to predict human annotations for claims and nonclaims in argumentative essays. We compared Logistic Regression, Bernoulli Naive Bayes, Gaussian Naive Bayes, Linear Support Vector Classification, Random Forest, and Neural Networks to train classification models. Random…
Descriptors: Persuasive Discourse, Essays, Writing Evaluation, Natural Language Processing
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Hu, Qian; Rangwala, Huzefa – International Educational Data Mining Society, 2020
Over the past decade, machine learning has become an integral part of educational technologies. With more and more applications such as students' performance prediction, course recommendation, dropout prediction and knowledge tracing relying upon machine learning models, there is increasing evidence and concerns about bias and unfairness of these…
Descriptors: Artificial Intelligence, Bias, Learning Analytics, Statistical Analysis
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Xiao, Yunkai; Zingle, Gabriel; Jia, Qinjin; Akbar, Shoaib; Song, Yang; Dong, Muyao; Qi, Li; Gehringer, Edward – International Educational Data Mining Society, 2020
Peer assessment adds value when students provide "helpful" feedback to their peers. But, this begs the question of how we determine "helpfulness." One important aspect is whether the review detects problems in the submitted work. To recognize problem detection, researchers have employed NLP and machine-learning text…
Descriptors: Peer Evaluation, Problems, Identification, Natural Language Processing
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Kyle Perkins; Lawrence Jun Zhang – RELC Journal: A Journal of Language Teaching and Research, 2024
The effect of first language transfer on second language acquisition and learning has been a major theoretical concept in second language research and pedagogy since the 1950s. In order to give a historical perspective, the authors offer a brief presentation of some of the major topics from the broad spectrum of issues that have been examined by…
Descriptors: Transfer of Training, Second Language Learning, Native Language, Contrastive Linguistics
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Arnon Hershkovitz; Norbert Noster; Hans-Stefan Siller; Michal Tabach – ZDM: Mathematics Education, 2024
Learning Analytics is concerned with the use of data collected in educational settings to support learning processes. We take a Learning Analytics approach to study the use of immediate feedback in digital classification tasks in mathematics. Feedback serves as an opportunity for learning, however its mere existence does not guarantee its use and…
Descriptors: Learning Analytics, Classification, Geometry, Mathematics Instruction
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