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Gray, John; Swinton, Omari H. – Journal of Negro Education, 2017
There has been a steady increase in college enrollment rates in recent decades, which has not been accompanied by a corresponding increase in graduation rates. If this discrepancy is partly due to insufficient effort exerted by students, policies that aim at rewarding effort explicitly may succeed in increasing graduation rates. A unique and rich…
Descriptors: Cognitive Ability, Academic Ability, Black Colleges, Grade Point Average
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Carter, Adam S.; Hundhausen, Christopher D.; Adesope, Olusola – ACM Transactions on Computing Education, 2017
Analyzing the process data of students as they complete programming assignments has the potential to provide computing educators with insights into both their students and the processes by which they learn to program. In prior research, we explored the relationship between (a) students' programming behaviors and course outcomes, and (b) students'…
Descriptors: Social Behavior, Academic Achievement, Programming, Computer Science Education
Marull, Crystal – ProQuest LLC, 2017
This dissertation aims to identify the locus of L2 processing inefficiency. Previous studies suggest that non-native processing is a specific result of an inefficient predictive mechanism that limits the ability of learners to generate linguistic expectations (Gruter, Rohde, & Schafer, 2014; 2016). Thus, this study employs two distinct online…
Descriptors: Second Language Learning, Language Processing, Verbal Communication, Vocabulary Development
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Miguel Baptista Nunes Ed.; Pedro Isaias Ed. – International Association for Development of the Information Society, 2022
These proceedings contain the papers of the 16th International Conference on e-Learning (EL 2022), which was organised by the International Association for Development of the Information Society, 19-21 July, 2022. This conference is part of the 16th Multi Conference on Computer Science and Information Systems 2022, 19-22 July, which had a total of…
Descriptors: Electronic Learning, Online Courses, Educational Technology, COVID-19
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Edelsbrunner, Peter; Schneider, Michael – Frontline Learning Research, 2013
Musso et al. (2013) predict students' academic achievement with high accuracy one year in advance from cognitive and demographic variables, using artificial neural networks (ANNs). They conclude that ANNs have high potential for theoretical and practical improvements in learning sciences. ANNs are powerful statistical modelling tools but they can…
Descriptors: Prediction, Statistical Analysis, Structural Equation Models, Academic Achievement
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Del Castillo Rodríguez, José A. García; López-Sánchez, Carmen; Soler, M. Carmen Quiles; Del Castillo-López, Álvaro García; Pertusa, Mónica Gázquez; Campos, Juan Carlos Marzo; Inglés, Cándido J. – Journal of Drug Education, 2013
Two predictive models are developed in this article: the first is designed to predict people' attitudes to alcoholic drinks, while the second sets out to predict the use of alcohol in relation to selected individual values. University students (N = 1,500) were recruited through stratified sampling based on sex and academic discipline. The…
Descriptors: Drinking, Models, Attitudes, Values
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Little, Daniel R.; Nosofsky, Robert M.; Donkin, Christopher; Denton, Stephen E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
A classic distinction in perceptual information processing is whether stimuli are composed of separable dimensions, which are highly analyzable, or integral dimensions, which are processed holistically. Previous tests of a set of logical-rule models of classification have shown that separable-dimension stimuli are processed serially if the…
Descriptors: Classification, Stimuli, Reaction Time, Models
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Ezenweani, Ugwunna Louis – Education, 2013
Pythagoras Theorem is an old mathematical treatise that has traversed the school curricula from secondary to tertiary levels. The patterns it produced are quite interesting that many researchers have tried to generate a kind of predictive approach to identifying triples. Two attempts, namely Diophantine equation and Brahmagupta trapezium presented…
Descriptors: Mathematics Instruction, Geometric Concepts, Equations (Mathematics), Prediction
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Moustafa, Ahmed A.; Gilbertson, Mark W.; Orr, Scott P.; Herzallah, Mohammad M.; Servatius, Richard J.; Myers, Catherine E. – Brain and Cognition, 2013
Empirical research has shown that the amygdala, hippocampus, and ventromedial prefrontal cortex (vmPFC) are involved in fear conditioning. However, the functional contribution of each brain area and the nature of their interactions are not clearly understood. Here, we extend existing neural network models of the functional roles of the hippocampus…
Descriptors: Prediction, Animals, Fear, Classical Conditioning
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Puglisi, Jose L.; Negroni, Jorge A.; Chen-Izu, Ye; Bers, Donald M. – Advances in Physiology Education, 2013
The force-frequency relationship has intrigued researchers since its discovery by Bowditch in 1871. Many attempts have been made to construct mathematical descriptions of this phenomenon, beginning with the simple formulation of Koch-Wesser and Blinks in 1963 to the most sophisticated ones of today. This property of cardiac muscle is amplified by…
Descriptors: Feedback (Response), Mathematical Models, Prediction, Intervals
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Huang, Francis L.; Moon, Tonya R. – Gifted Child Quarterly, 2013
The purpose of this Methodological Brief is to present a brief primer on logistic regression, a commonly used technique when modeling dichotomous outcomes. Using data from the National Education Longitudinal Study of 1988 (NELS:88), logistic regression techniques were used to investigate student-level variables in eighth grade (i.e., enrolled in a…
Descriptors: Advanced Placement, Regression (Statistics), Grade 8, Grade 10
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Yurovsky, Daniel; Boyer, Ty W.; Smith, Linda B.; Yu, Chen – Developmental Science, 2013
Learning about the structure of the world requires learning probabilistic relationships: rules in which cues do not predict outcomes with certainty. However, in some cases, the ability to track probabilistic relationships is a handicap, leading adults to perform non-normatively in prediction tasks. For example, in the "dilution effect,"…
Descriptors: Cues, Prediction, Infants, Cognitive Ability
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Tiggemann, Marika – Clinical Psychologist, 2013
Background: There is a large and expanding body of research on Objectification Theory. Central to the theory is the proposition that self-objectification results in shame and anxiety surrounding the body, and as a consequence, the development of eating disorders. However, the theory and research have been developed and reported in the gender and…
Descriptors: Behavior Theories, Eating Disorders, Correlation, Prediction
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Kim, Young-Suk; Petscher, Yaacov – Learning and Individual Differences, 2013
We examined the extent to which word characteristics (i.e., differences in orthographic transparency among words) and child characteristics (i.e., emergent literacy skills) explain variation in children's spelling, using data from young Korean children (N = 168). We compared predicted probabilities of various types of words (e.g., transparent vs.…
Descriptors: Accuracy, Spelling, Probability, Emergent Literacy
Santiago, Lawrence A. – ProQuest LLC, 2013
A severe and worsening nursing shortage exists in the United States. Increasing numbers of new graduate nurses are necessary to meet this demand. To address the concerns of increased nursing demand, leaders of nursing schools must ensure larger numbers of nursing students graduate. Prior to practicing as registered nurses in the United States,…
Descriptors: Nursing Students, Prediction, Success, Failure
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