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Experiential Learning

Known as: Active learning, Learning, Active, Learning, Experiential 
National Institutes of Health

Related topics

Related topics

1 relation
Problem-Based Learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Explanation-Based Attention for Semi-Supervised Deep Active Learning
We introduce an attention mechanism to improve feature extraction for deep active learning (AL) in the semi-supervised setting… 
Review
2015
Review
2015
Experiential Learning via Intervention Programme in Teaching and Learning Human Rights Subject
The main objective of this paper is to critically evaluate the application and effectiveness of experiential learning approach in… 
2012
2012
Experiential Learning and Learning Space: Implication for TVET
Increasing interest in learning spaces is discussed across the fields of architecture, facilities management (FM) and education… 
2012
2012
A pool-based active learning method for improving Farsi-English Machine Translation system
In this paper we try to alleviate the problem of scares resources for developing Farsi-English Statistical Machine Translation… 
2012
2012
A New Active Learning Method Based on Clustering
Concerning the slow convergence speed of unlabeled samples classification while using the traditional Active Learning (AL) method… 
2012
2012
Enabling Critical Learners and Teacher Trainees via Experiential Learning
Learning is a complex process that not only merely involves gathering of information or knowledge but also depicts the process of… 
Review
2011
Review
2011
AL 2 : Learning for Active Learning
We introduce AL2, a pool-based active learning approach that learns how to inform the active set selection. The framework is… 
Review
2011
Review
2011
Keeping them involved: encouraging and monitoring student activity
In the teaching of engineering, lecture classes are often essentially expository with students in a passive role, not preparing… 
2011
2011
Active learning for hyperspectral image classification
Obtaining labeled data for supervised classification of remotely sensed imagery is expensive and time consuming. Further, manual… 
2008
2008
Advances in the Design of Gaussian Processes as Surrogate Models for Computer Experiments
We present some advances in the design of computer experiments. A Gaussian Process (GP) model is fitted to the computer… 
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