Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 13 |
Descriptor
Learning Processes | 16 |
Probability | 16 |
Mathematics Instruction | 5 |
Models | 4 |
Experiments | 3 |
Reinforcement | 3 |
Teaching Methods | 3 |
Behavior Patterns | 2 |
Causal Models | 2 |
Computer Assisted Instruction | 2 |
Conditioning | 2 |
More ▼ |
Source
Author
Dekker, Rijkje | 2 |
Pijls, Monique | 2 |
Ahn, Woo-kyoung | 1 |
Anderson, John R. | 1 |
Anselmi, Pasquale | 1 |
Areola, Oluwasanmi O. | 1 |
Blei, David M. | 1 |
Chee, Yam San | 1 |
Claus, Eric D. | 1 |
Crupi, Vincenzo | 1 |
Dani, John A. | 1 |
More ▼ |
Publication Type
Journal Articles | 16 |
Reports - Evaluative | 16 |
Opinion Papers | 1 |
Education Level
Higher Education | 2 |
Secondary Education | 2 |
Elementary Secondary Education | 1 |
Audience
Location
New York | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Essien, Anthony A. – ZDM: Mathematics Education, 2021
The teaching of mathematics is mostly done with tasks that learners and teachers do or solve, in and outside of class. These tasks, which are used to illustrate concepts in mathematics, are referred to in this paper as examples in mathematics. Examples that teachers choose and use are fundamental to what mathematics is taught and learned, and what…
Descriptors: Multilingualism, Probability, Mathematics Instruction, Teaching Methods
Kazak, Sibel; Pratt, Dave – Research in Mathematics Education, 2021
We examine the challenges of teaching probability through the use of modelling. We argue how an integrated modelling approach might facilitate a coordinated understanding of distribution by marrying theoretical and data-oriented perspectives and present probability as more connected to the social lives of modern-day students. Research is, however,…
Descriptors: Teaching Methods, Mathematics Instruction, Faculty Development, Probability
Zhao, Jiaying; Crupi, Vincenzo; Tentori, Katya; Fitelson, Branden; Osherson, Daniel – Cognition, 2012
Bayesian orthodoxy posits a tight relationship between conditional probability and updating. Namely, the probability of an event "A" after learning "B" should equal the conditional probability of "A" given "B" prior to learning "B". We examine whether ordinary judgment conforms to the orthodox view. In three experiments we found substantial…
Descriptors: Probability, Thinking Skills, Correlation, Experiments
Robusto, Egidio; Stefanutti, Luca; Anselmi, Pasquale – Journal of Educational Measurement, 2010
Within the theoretical framework of knowledge space theory, a probabilistic skill multimap model for assessing learning processes is proposed. The learning process of a student is modeled as a function of the student's knowledge and of an educational intervention on the attainment of specific skills required to solve problems in a knowledge…
Descriptors: Intervention, Learning Processes, Probability, Item Response Theory
Chee, Yam San – Educational Technology, 2010
The field of the learning sciences appears to favor cognitive and social approaches to the study of human learning. In this article, the author proposes that a deep cognizance of cultural influences on learning is vital if formal and informal learning are to make vital connections to learners' lives and their personal need for meaning making in…
Descriptors: Informal Education, Learning Processes, Sciences, Cultural Influences
Rehder, Bob; Kim, ShinWoo – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2010
Research has documented two effects of interfeature causal knowledge on classification. A "causal status effect" occurs when features that are causes are more important to category membership than their effects. A "coherence effect" occurs when combinations of features that are consistent with causal laws provide additional…
Descriptors: Classification, Probability, Experiments, Experimental Psychology
Desmet, Charlotte; Poulin-Charronnat, Benedicte; Lalitte, Philippe; Perruchet, Pierre – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2009
In a recent study, G. Kuhn and Z. Dienes (2005) reported that participants previously exposed to a set of musical tunes generated by a biconditional grammar subsequently preferred new tunes that respected the grammar over new ungrammatical tunes. Because the study and test tunes did not share any chunks of adjacent intervals, this result may be…
Descriptors: Intervals, Statistical Distributions, Statistical Analysis, Probability
Tseng, Shian-Shyong; Weng, Jui-Feng – Interactive Learning Environments, 2010
The most important thing for learners in Programming Language subject is problem solving. During the practical programming project, various problems may occur and learners usually need consultation from the senior programmers (i.e. the experts) to assist them in solving the problems. Thus, the inquiry-based learning with learning forum is applied…
Descriptors: Programming Languages, Inquiry, Active Learning, Problem Solving
Gershman, Samuel J.; Blei, David M.; Niv, Yael – Psychological Review, 2010
A. Redish et al. (2007) proposed a reinforcement learning model of context-dependent learning and extinction in conditioning experiments, using the idea of "state classification" to categorize new observations into states. In the current article, the authors propose an interpretation of this idea in terms of normative statistical inference. They…
Descriptors: Conditioning, Statistical Inference, Inferences, Bayesian Statistics
Fu, Wai-Tat; Anderson, John R. – Journal of Experimental Psychology: Applied, 2008
Acquisition of interactive skills involves the use of internal and external cues. Experiment 1 showed that when actions were interdependent, learning was effective with and without external cues in the single-task condition but was effective only with the presence of external cues in the dual-task condition. In the dual-task condition, actions…
Descriptors: Learning Processes, Skill Development, Feedback (Response), Cues
Luhmann, Christian C.; Ahn, Woo-kyoung – Psychological Review, 2007
Dealing with alternative causes is necessary to avoid making inaccurate causal inferences from covariation data. However, information about alternative causes is frequently unavailable, rendering them unobserved. The current article reviews the way in which current learning models deal, or could deal, with unobserved causes. A new model of causal…
Descriptors: Inferences, Learning Processes, Probability, Models
Pijls, Monique; Dekker, Rijkje; Van Hout-Wolters, Bernadette – Educational Studies in Mathematics, 2007
The study focused on the interaction between two secondary school students while they were working on computerized mathematical investigation tasks related to probability theory. The aim was to establish how such interaction helped the students to learn from one another, and how it may have hindered their learning process. The assumption was that…
Descriptors: Secondary School Students, Probability, Interaction, Student Attitudes
Pidoplichko, Volodymyr I.; Noguchi, Jun; Areola, Oluwasanmi O.; Liang, Yong; Peterson, Jayms; Zhang, Tianxiang; Dani, John A. – Learning & Memory, 2004
Tobacco use is a major health problem that is estimated to cause 4 million deaths a year worldwide. Nicotine is the main addictive component of tobacco. It acts as an agonist to activate and desensitize nicotinic acetylcholine receptors (nAChRs). A component of nicotine's addictive power is attributable to actions on the mesolimbic dopaminergic…
Descriptors: Probability, Substance Abuse, Smoking, Brain Hemisphere Functions
Frank, Michael J.; Claus, Eric D. – Psychological Review, 2006
The authors explore the division of labor between the basal ganglia-dopamine (BG-DA) system and the orbitofrontal cortex (OFC) in decision making. They show that a primitive neural network model of the BG-DA system slowly learns to make decisions on the basis of the relative probability of rewards but is not as sensitive to (a) recency or (b) the…
Descriptors: Brain, Decision Making, Probability, Reinforcement

Estes, William K. – Psychological Review, 1994
This essay introduces a series of studies developing a statistical theory of elementary learning processes. An attempt is made to derive relations among commonly used measures of behavior and quantitative expressions describing simple learning phenomena. Laws of the theory state probability relations between momentary changes in behavioral and…
Descriptors: Behavior Patterns, Behavioral Science Research, Change, Conditioning
Previous Page | Next Page ยป
Pages: 1 | 2