An important issue regarding developmental changes in cue weighting is whether children weight the dynamic cue of vowel formant transitions relatively more than do adults, whereas adults depend more on the static cue of the fricative noise level. We investigated this issue in Brazilian Portuguese. Additionally, we inserted the segment to be…

In this study, it was aimed to compare different normalization methods employed in model developing process via artificial neural networks with different sample sizes. As part of comparison of normalization methods, input variables were set as: work discipline, environmental awareness, instrumental motivation, science self-efficacy, and weekly…

Creativity is a dynamic process which generates ideas that are both novel and of value. However there is little understanding in what drives creativity in students and how to help teachers or education experts to detect creative thinking. This paper begins to address this gap by providing a platform and experiments for studying how creative…

The purpose of this dictionary and thesaurus of contemporary figurative language and metaphor is to identify all the words and phrases used figuratively and metaphorically in everyday English and to categorize each word or phrase not only by meaning but also by what cognitive linguists and others have described variously as figure and ground,…

Distributional learning is typically understood as (unattended) tracking of stimulus probabilities. Distributional training with speech yields mixed results and the influencing factors have not yet been fully investigated. This study explored whether prior linguistic experience could have an effect on distributional learning outcomes. Czech and…

Science, technology, engineering, and mathematics (STEM) is widely visible in education and workforce policies and discussions in the United States (US). However, there is a lack of consensus on what is considered a STEM career. In addition, little is known about how K-12 teachers conceptualize STEM careers and how this information is portrayed to…

There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum likelihood estimation. However, there is little work on applying these methods to estimate treatment effects in latent classes defined by…

Surveys reveal that many school psychologists continue to employ cognitive profile analysis despite the long-standing history of negative research results from this class of practice. This begets the question: why do questionable assessment practices persist in school psychology? To provide insight on this dilemma, this article presents the…

Teaching meaningful and productive mathematical argument in school requires teachers who are comfortable with diverse forms of mathematical justification. This study examines the written and oral justifications of pre-service middle school teachers (PSTs) in a single classroom, focusing on the types of justifications they use during the patterns…

In this paper, we demonstrate how machine learning could be used to quickly assess a student's multimodal representational thinking. Multimodal representational thinking is the complex construct that encodes how students form conceptual, perceptual, graphical, or mathematical symbols in their mind. The augmented reality (AR) technology is adopted…

Research Findings: This study provides a framework for categorizing one subset of the large and heterogeneous group of home-based child care providers, unlisted paid providers. We analyzed data on unlisted paid home-based child care providers (n = 448) from the 2012 National Survey of Early Care and Education conducted in the United States. We…

Human Rights Education exists as an implementing entity of the Universal Declaration of Human Rights. Scholars such as Andre Keet and others have criticized the dissemination of universal rights through education because it covets Western ideology over local ethical and epistemological constructs. Using Tibbitts' revised typologies of Human Rights…

The NAEP EDM Competition required participants to predict efficient test-taking behavior based on log data. This paper describes our top-down approach for engineering features by means of psychometric modeling, aiming at machine learning for the predictive classification task. For feature engineering, we employed, among others, the Log-Normal…

The Big Data for Education Spoke of the NSF Northeast Big Data Innovation Hub and ETS co-sponsored an educational data mining competition in which contestants were asked to predict efficient time use on the NAEP 8th grade mathematics computer-based assessment, based on the log file of a student's actions on a prior portion of the assessment. In…

Multilingualism has established itself as a separate area of research in linguistic studies for the two last decades. Therefore, the present study aims at examining Algerian Multilingual students' perceptions of linguistic distance i.e., "psychotypology," between their first Language Arabic and Second language French and third language…