نتایج جستجو برای: observational learning

تعداد نتایج: 697989  

aliabadi, Khadijeh, Falahi, Maryam, Komasi, Mehdi,

Introduction: The basis of distance learning rests on the independence of the learner. The independent learning-teaching process is an educational system in which each learner is independent and separated from their teacher by time and place. Hence the present study seeks to examine E-learning Theories in general, but focuses on Independence Theory. Methods: The present study was conducte...

Journal: :Educational Technology & Society 2017
Robert A. Ellis Feifei Han Abelardo Pardo

The field of education technology is embracing a use of learning analytics to improve student experiences of learning. Along with exponential growth in this area is an increasing concern of the interpretability of the analytics from the student experience and what they can tell us about learning. This study offers a way to address some of the concerns of collecting and interpreting learning ana...

2011
Charlotte Werndl

This paper presents and philosophically assesses three types of results on the observational equivalence of continuous-time measure-theoretic deterministic and indeterministic descriptions. The first results establish observational equivalence to abstract mathematical descriptions. The second results are stronger because they show observational equivalence between deterministic and indeterminis...

2005
Steffen van Bakel Ugo de'Liguoro

Subtyping in first order object calculi is studied with respect to the logical semantics obtained by identifying terms that satisfy the same set of predicates, as formalized through an assignment system. It is shown that equality in the full first order ς-calculus is modelled by this notion, which on turn is included in a Morris style contextual equivalence.

2009
Juanjuan Zhang

Mere observation of others’ choices can be informative about product quality. This paper develops an individual-level dynamic model of observational learning, and applies it to a novel data set from the U.S. kidney market where transplant candidates on a waiting list sequentially decide whether to accept a kidney offer. We find strong evidence of observational learning: patients draw negative q...

Journal: :Marketing Science 2010
Juanjuan Zhang

M observation of others’ choices can be informative about product quality. This paper develops an individual-level dynamic model of observational learning and applies it to a novel data set from the U.S. kidney market, where transplant candidates on a waiting list sequentially decide whether to accept a kidney offer. We find strong evidence of observational learning: patients draw negative qual...

Journal: :Proceedings of the National Academy of Sciences of the United States of America 2012
Sangwoo Kim Ferenc Mátyás Sukchan Lee László Acsády Hee-Sup Shin

Major cognitive and emotional faculties are dominantly lateralized in the human cerebral cortex. The mechanism of this lateralization has remained elusive owing to the inaccessibility of human brains to many experimental manipulations. In this study we demonstrate the hemispheric lateralization of observational fear learning in mice. Using unilateral inactivation as well as electrical stimulati...

2014
Timothy N. Cason Anya Savikhin Samek

We report a laboratory experiment that investigates the impact of observational learning and visual information display on bubble formation in asset markets with inexperienced and experienced traders. We first vary whether the continuously-updated transaction prices are displayed in a column of text or in a graphical display (with time on the X-axis and price on the Y-axis). Second, to explore ...

2015
Diego Colombo Alain Hauser Markus Kalisch Martin Maechler

March 19, 2015 Version 2.0-10 Date 2015-03-18 Author Diego Colombo, Alain Hauser, Markus Kalisch, Martin Maechler Maintainer Markus Kalisch Title Methods for Graphical Models and Causal Inference Description Functions for causal structure learning and causal inference using graphical models. The main algorithms for causal structure learning are PC (for observational ...

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