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Powell, Daisy; Atkinson, Lynette – Journal of Educational Psychology, 2021
It is well established that phonological awareness (PA) and rapid automatized naming (RAN) tasks reliably predict children's developing word reading abilities across a wide range of languages. However, existing research has not yet demonstrated unequivocally whether RAN and PA are independently and causally linked to reading, nor has it fully…
Descriptors: Correlation, Naming, Phonological Awareness, Prediction
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Valle, Natercia; Antonenko, Pavlo; Valle, Denis; Sommer, Max; Huggins-Manley, Anne Corinne; Dawson, Kara; Kim, Dongho; Baiser, Benjamin – Educational Technology Research and Development, 2021
Based on the achievement goal theory, this experimental study explored the influence of predictive and descriptive learning analytics dashboards on graduate students' motivation and statistics anxiety in an online graduate-level statistics course. Participants were randomly assigned into one of three groups: (1) predictive dashboard; (2)…
Descriptors: Online Courses, Graduate Students, Statistics Education, Anxiety
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Zehner, Fabian; Eichmann, Beate; Deribo, Tobias; Harrison, Scott; Bengs, Daniel; Andersen, Nico; Hahnel, Carolin – Journal of Educational Data Mining, 2021
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…
Descriptors: National Competency Tests, Engineering Education, Data Collection, Data Analysis
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Levin, Nathan A. – Journal of Educational Data Mining, 2021
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…
Descriptors: Learning Analytics, Data Collection, Competition, Prediction
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Nadav, Nechama; Benoliel, Pascale; Shaked, Haim; Schechter, Chen – Leadership and Policy in Schools, 2021
This study aims to explore the frequency and extent of principals' use of systems thinking activities in Israel; to examine whether principals' gender and seniority predict their systems thinking activities; and to determine how systems thinking activities are related to school outcomes. Results indicated that principals' seniority predicted their…
Descriptors: Principals, Job Satisfaction, Gender Differences, Prediction
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Turan, Serhat; Çirmi, Ercan – Journal of Educational Issues, 2021
It is observed that the appearance of aggression and violent anti-social behavior in sports contradicts the Olimpia culture inherent in sports. Therefore, this research was conducted in order to reveal the causes and consequences of negative behaviors observed in sports, to examine the empathy skills and moral decision-making attitudes of athletes…
Descriptors: Student Athletes, Decision Making, Moral Values, Aggression
Litman, Diane; Zhang, Haoran; Correnti, Richard; Matsumura, Lindsay Clare; Wang, Elaine – Grantee Submission, 2021
Automated Essay Scoring (AES) can reliably grade essays at scale and reduce human effort in both classroom and commercial settings. There are currently three dominant supervised learning paradigms for building AES models: feature-based, neural, and hybrid. While feature-based models are more explainable, neural network models often outperform…
Descriptors: Essays, Writing Evaluation, Models, Accuracy
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Fancsali, Stephen E.; Li, Hao; Sandbothe, Michael; Ritter, Steven – International Educational Data Mining Society, 2021
Recent work describes methods for systematic, data-driven improvement to instructional content and calls for diverse teams of learning engineers to implement and evaluate such improvements. Focusing on an approach called "design-loop adaptivity," we consider the problem of how developers might use data to target or prioritize particular…
Descriptors: Instructional Development, Instructional Improvement, Data Use, Educational Technology
Hartwig, Marissa K.; Malain, Eric D. – Grantee Submission, 2021
We examined students' naturalistic decisions about spacing their study in an undergraduate course (N=185) and whether self-selected spacing predicted course performance. Usage of two study tools -- an online textbook and quiz tool -- was recorded daily. We operationalized spacing as how often the tools were used and the timing of their use…
Descriptors: Study Skills, Learning Strategies, Study Habits, Undergraduate Students
Zhou, Jianing; Bhat, Suma – Grantee Submission, 2021
Consistency of learning behaviors is known to play an important role in learners' engagement in a course and impact their learning outcomes. Despite significant advances in the area of learning analytics (LA) in measuring various self-regulated learning behaviors, using LA to measure consistency of online course engagement patterns remains largely…
Descriptors: Models, Online Courses, Learner Engagement, Learning Processes
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Brennan, Jonathan R.; Pylkkänen, Liina – Cognitive Science, 2017
Research investigating the brain basis of language comprehension has associated the left anterior temporal lobe (ATL) with sentence-level combinatorics. Using magnetoencephalography (MEG), we test the parsing strategy implemented in this brain region. The number of incremental parse steps from a predictive left-corner parsing strategy that is…
Descriptors: Brain, Sentences, Brain Hemisphere Functions, Language Processing
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Hsu, Anne S.; Horng, Andy; Griffiths, Thomas L.; Chater, Nick – Cognitive Science, 2017
Identifying patterns in the world requires noticing not only unusual occurrences, but also unusual absences. We examined how people learn from absences, manipulating the extent to which an absence is expected. People can make two types of inferences from the absence of an event: either the event is possible but has not yet occurred, or the event…
Descriptors: Statistical Inference, Bayesian Statistics, Evidence, Prediction
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Schlauch, Robert S.; Han, Heekyung J.; Yu, Tzu-Ling J.; Carney, Edward – Journal of Speech, Language, and Hearing Research, 2017
Purpose: The purpose of this article is to examine explanations for pure-tone average-spondee threshold differences in functional hearing loss. Method: Loudness magnitude estimation functions were obtained from 24 participants for pure tones (0.5 and 1.0 kHz), vowels, spondees, and speech-shaped noise as a function of level (20-90 dB SPL).…
Descriptors: Hearing Impairments, Auditory Stimuli, Prediction, Acoustics
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Cheng, Wei; Almor, Amit – Journal of Psycholinguistic Research, 2017
This paper examines the effect of syntactic structures on referent predictability. Focusing on stimulus-experiencer (SE) verbs, we conducted two sentence-completion experiments in Chinese by contrasting SE verbs in three structures (active canonical, active "ba," and passive). The results showed that although verb semantics and discourse…
Descriptors: Syntax, Chinese, Language Research, Verbs
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De Nóbrega, José Renato – Teaching Statistics: An International Journal for Teachers, 2017
A strategy to facilitate understanding of spatial randomness is described, using student activities developed in sequence: looking at spatial patterns, simulating approximate spatial randomness using a grid of equally-likely squares, using binomial probabilities for approximations and predictions and then comparing with given Poisson…
Descriptors: Statistical Analysis, Sequential Approach, Pattern Recognition, Simulation
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