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Direct linkCatarina Vales; Patience Stevens; Anna V. Fisher – Grantee Submission, 2020
Organized semantic representations encoding across- and within-domain distinctions are a hallmark of mature cognition, and understanding how they change with experience and learning is a key endeavor in developmental science. Existing computational modeling studies provide a mechanistic framework for understanding how structured semantic…
Descriptors: Child Development, Semantics, Developmental Stages, Prediction
Blake A. Colaianne; Brian M. Galla; Robert W. Roeser – Grantee Submission, 2020
The purpose of this study was to examine how student perceptions of mindful teaching are associated with changes in students' mindfulness, self-compassion, and compassion for others across a single high school year. We hypothesized two pathways of effect: a direct path whereby when high school students perceive their teachers as demonstrating…
Descriptors: Metacognition, Student Attitudes, Outcomes of Education, Daily Living Skills
Levitan, Robert D.; Jansen, Pauline; Wendland, Barbara; Tiemeier, Henning; Jaddoe, Vincent W.; Silveira, Patricia P.; Kennedy, James L.; Atkinson, Leslie; Fleming, Alison; Sokolowski, Marla; Gaudreau, Helene; Steiner, Meir; Dubé, Laurette; Hamilton, Jill; Moss, Ellen; Wazana, Ashley; Meaney, Michael – Journal of Child Psychology and Psychiatry, 2017
Background: Recent evidence suggests that early exposure to low maternal sensitivity is a risk factor for obesity in children and adolescents. A separate line of study shows that the seven-repeat (7R) allele of the dopamine-4 receptor gene (DRD4) increases susceptibility to environmental factors including maternal sensitivity. The current study…
Descriptors: Risk, Prediction, Obesity, Preschool Children
Vecchi, Eva M.; Marelli, Marco; Zamparelli, Roberto; Baroni, Marco – Cognitive Science, 2017
"Sophisticated senator" and "legislative onion." Whether or not you have ever heard of these things, we all have some intuition that one of them makes much less sense than the other. In this paper, we introduce a large dataset of human judgments about novel adjective-noun phrases. We use these data to test an approach to…
Descriptors: Form Classes (Languages), Semantics, Nouns, Novelty (Stimulus Dimension)
Haarhuis, Carolien Maria Klein; Smit, Monika – Evidence & Policy: A Journal of Research, Debate and Practice, 2017
Ex ante research can contribute to evidence-informed policies. In this article, we explore numbers and types of ex ante studies as well as their use. First, we took stock of a potentially wide range of ex ante studies published by the Dutch government between 2005 and 2011, applying a systematic approach. Though unevenly distributed across…
Descriptors: Foreign Countries, Evidence Based Practice, Public Policy, Research
Anderson, Eleanor R. – American Educational Research Journal, 2017
Asking practitioners to make larger changes to their practice is often thought to lead to lower fidelity of implementation. However, salient differences between ambitious new reforms and teachers' existing practices may also facilitate processes of conceptual change and correspondingly increase fidelity of implementation. I use survey data on the…
Descriptors: Educational Change, Fidelity, Program Implementation, Organizational Change
Çöltekin, Çagri – Cognitive Science, 2017
This study investigates a strategy based on predictability of consecutive sub-lexical units in learning to segment a continuous speech stream into lexical units using computational modeling and simulations. Lexical segmentation is one of the early challenges during language acquisition, and it has been studied extensively through psycholinguistic…
Descriptors: Speech Communication, Phonemes, Prediction, Computational Linguistics
Yang, Shuo – ProQuest LLC, 2017
With the expeditious advancement of information technologies, health-related data presented unprecedented potentials for medical and health discoveries but at the same time significant challenges for machine learning techniques both in terms of size and complexity. Those challenges include: the structured data with various storage formats and…
Descriptors: Probability, Models, Prediction, Longitudinal Studies
Ren, Zhiyun; Ning, Xia; Rangwala, Huzefa – International Educational Data Mining Society, 2017
There is a critical need to develop new educational technology applications that analyze the data collected by universities to ensure that students graduate in a timely fashion (4 to 6 years); and they are well prepared for jobs in their respective fields of study. In this paper, we present a novel approach for analyzing historical educational…
Descriptors: Grade Prediction, Time Perspective, Educational Technology, Time to Degree
Schwartz, Bennett L.; Boduroglu, Aysecan; Tekcan, Ali I. – Metacognition and Learning, 2016
In traditional feeling-of-knowing procedures, participants make judgments on unrecalled items only (e.g. Hart 1965). However, many researchers elicit feeling-of-knowing judgments (FOKs) on all items. When FOKs are made on all items, participants may use recall as a basis for judgments, leading to higher magnitude judgments for recalled items, but…
Descriptors: Comparative Analysis, Metacognition, Methods, Prediction
Miles, Andrew – Sociological Methods & Research, 2016
Obtaining predictions from regression models fit to multiply imputed data can be challenging because treatments of multiple imputation seldom give clear guidance on how predictions can be calculated, and because available software often does not have built-in routines for performing the necessary calculations. This research note reviews how…
Descriptors: Prediction, Regression (Statistics), Data, Surveys
Cross, Rod – Physics Education, 2016
Three simple experiments are described using a small water bottle with two holes in the side of the bottle. The main challenge is to predict and then explain the observations, but the arrangements can also be used for quantitative measurements concerning hydrostatic pressure, Bernoulli's equation, surface tension and bubble formation.
Descriptors: Physics, Experiments, Water, Prediction
Sharma, Arjun; Biswas, Arijit; Gandhi, Ankit; Patil, Sonal; Deshmukh, Om – International Educational Data Mining Society, 2016
Online educational videos have emerged as one of the most popular modes of learning in the recent years. Studies have shown that liveliness is highly correlated to engagement in educational videos. While previous work has focused on feature engineering to estimate liveliness and that too using only the acoustic information, in this paper we…
Descriptors: Video Technology, Audiovisual Aids, Artificial Intelligence, Prediction
Botelho, Anthony F.; Adjei, Seth A.; Heffernan, Neil T. – International Educational Data Mining Society, 2016
The incorporation of prerequisite skill structures into educational systems helps to identify the order in which concepts should be presented to students to optimize student achievement. Many skills have a causal relationship in which one skill must be presented before another, indicating a strong skill relationship. Knowing this relationship can…
Descriptors: Prerequisites, Relationship, Models, Comparative Analysis
Qiao, Shen; Yeung, Susanna Siu-sze; Shen, Xiaoai; Chu, Samuel Kai Wah – British Journal of Educational Technology, 2022
Purpose: Morphological awareness (MA), the ability to reflect on and manipulate the smallest language units within a word, has been identified as an essential metalinguistic awareness to predict literacy development. In this study, we examine whether an online gamified English MA programme is more effective than physical face-to-face instruction…
Descriptors: Morphology (Languages), Metalinguistics, Literacy, Prediction
