NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 30 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Hertog, Steffen – Sociological Methods & Research, 2023
In mixed methods approaches, statistical models are used to identify "nested" cases for intensive, small-n investigation for a range of purposes, including notably the examination of causal mechanisms. This article shows that under a commonsense interpretation of causal effects, large-n models allow no reliable conclusions about effect…
Descriptors: Case Studies, Generalization, Prediction, Mixed Methods Research
Peer reviewed Peer reviewed
Direct linkDirect link
McMullen, Jake; Siegler, Robert S. – Mathematical Thinking and Learning: An International Journal, 2020
To test the hypothesis that a higher tendency to "s"pontaneously "f"ocus "o"n "m"ultiplicative "r"elations (SFOR) leads to improvements in rational number knowledge via more exact estimation of fractional quantities, we presented sixth graders (n = 112) with fraction number line estimations and a…
Descriptors: Fractions, Multiplication, Grade 6, Hypothesis Testing
Peer reviewed Peer reviewed
Direct linkDirect link
de Chantal, Pier-Luc; Gagnon-St-Pierre, Émilie; Markovits, Henry – Child Development, 2020
This study explored the hypothesis that preschoolers' deductive reasoning would be improved by encouraging use of divergent thinking (DT). Children of 4-5 years of age (n = 120) were randomly given DT or neutral control exercises before deductive reasoning problems. To allow a stronger test of the hypothesis, half of the children receiving the DT…
Descriptors: Preschool Children, Creative Thinking, Teaching Methods, Hypothesis Testing
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
Peer reviewed Peer reviewed
Direct linkDirect link
England, Benjamin D.; Ortegren, Francesca R.; Serra, Michael J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Framing metacognitive judgments of learning (JOLs) in terms of the likelihood of forgetting rather than remembering consistently yields a counterintuitive outcome: The mean of participants' forget-framed JOLs is often higher (after reverse-scoring) than the mean of their remember-framed JOLs, suggesting greater confidence in memory. In the present…
Descriptors: Metacognition, Evaluative Thinking, Learning, Memory
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Gardner, Josh; Brooks, Christopher – Journal of Learning Analytics, 2018
Model evaluation -- the process of making inferences about the performance of predictive models -- is a critical component of predictive modelling research in learning analytics. We survey the state of the practice with respect to model evaluation in learning analytics, which overwhelmingly uses only naïve methods for model evaluation or…
Descriptors: Prediction, Models, Evaluation, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Zipser, Nina; Mincieli, Lisa – Assessment & Evaluation in Higher Education, 2018
Using nine years of student evaluation of teaching (SET) data from a large US research university, we examine whether changes to the SET instrument have a substantial impact on overall instructor scores. Our study exploits four distinct natural experiments that arose when the SET instrument was changed. To maximise power, we compare the same…
Descriptors: Student Evaluation of Teacher Performance, Teacher Effectiveness, Scores, Comparative Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Campitelli, Guillermo; Macbeth, Guillermo; Ospina, Raydonal; Marmolejo-Ramos, Fernando – Educational and Psychological Measurement, 2017
We present three strategies to replace the null hypothesis statistical significance testing approach in psychological research: (1) visual representation of cognitive processes and predictions, (2) visual representation of data distributions and choice of the appropriate distribution for analysis, and (3) model comparison. The three strategies…
Descriptors: Research Methodology, Hypothesis Testing, Psychology, Social Science Research
Peer reviewed Peer reviewed
Direct linkDirect link
Kehler, Andrew; Rohde, Hannah – Discourse Processes: A multidisciplinary journal, 2017
According to Question-Under-Discussion (QUD) models of discourse interpretation, clauses cohere with the preceding context by virtue of providing answers to (usually implicit) questions that are situated within a speaker's goal-driven strategy of inquiry. In this article we present four experiments that examine the predictions of a QUD model of…
Descriptors: Prediction, Questioning Techniques, Models, Expectation
Peer reviewed Peer reviewed
Direct linkDirect link
Thomas, Michael S. C.; Davis, Rachael; Karmiloff-Smith, Annette; Knowland, Victoria C. P.; Charman, Tony – Developmental Science, 2016
This article outlines the "over-pruning hypothesis" of autism. The hypothesis originates in a neurocomputational model of the regressive sub-type (Thomas, Knowland & Karmiloff-Smith, 2011a, 2011b). Here we develop a more general version of the over-pruning hypothesis to address heterogeneity in the timing of manifestation of ASD,…
Descriptors: Autism, Pervasive Developmental Disorders, Computer Simulation, Symptoms (Individual Disorders)
Peer reviewed Peer reviewed
Direct linkDirect link
Suggate, Sebastian P. – European Early Childhood Education Research Journal, 2015
Previous work on the long-term effects of early reading focuses on whether children can read early (i.e. capability) not on whether this is beneficial (i.e. optimality). The Luke Effect is introduced to predict long-term reading development as a function of when children learn to read. A review of correlational, intervention, and comparative…
Descriptors: Early Reading, Reading Skills, Prediction, Child Development
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Tan, Liang See; Lee, Shu Shing; Ponnusamy, Letchmi Devi; Koh, Elizabeth Ruilin; Tan, Keith Chiu Kian – Education Sciences, 2016
Researchers have argued for the importance of the classroom context in developing students' creative potential. However, the emphasis on a performative learning culture in the classroom does not favour creativity. Thus, how creative potential can be realised as one of the educational goals in the classrooms remains a key question. This study…
Descriptors: Creative Development, Academic Ability, High Achievement, Academically Gifted
Peer reviewed Peer reviewed
Direct linkDirect link
Hwang, Heeju; Kaiser, Elsi – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
One of the central questions in speech production is how speakers decide which entity to assign to which grammatical function. According to the lexical hypothesis (e.g., Bock & Levelt, 1994), verbs play a key role in this process (e.g., "send" and "receive" result in different entities being assigned to the subject…
Descriptors: Korean, English, Verbs, Grammar
Peer reviewed Peer reviewed
Direct linkDirect link
Siegler, Robert S.; Lortie-Forgues, Hugues – Journal of Educational Psychology, 2015
Understanding an arithmetic operation implies, at minimum, knowing the direction of effects that the operation produces. However, many children and adults, even those who execute arithmetic procedures correctly, may lack this knowledge on some operations and types of numbers. To test this hypothesis, we presented preservice teachers (Study 1),…
Descriptors: Arithmetic, Mathematics Education, Knowledge Level, Hypothesis Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Chi, Michelene T. H.; Wylie, Ruth – Educational Psychologist, 2014
This article describes the ICAP framework that defines cognitive engagement activities on the basis of students' overt behaviors and proposes that engagement behaviors can be categorized and differentiated into one of four modes: "Interactive," "Constructive," "Active," and "Passive." The ICAP hypothesis…
Descriptors: Guidelines, Active Learning, Outcomes of Education, Learning Theories
Previous Page | Next Page »
Pages: 1  |  2