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Teaching method

Known as: Teaching methods, Teaching technique, Training method 
A teaching method comprises the principles and methods used for instruction to be implemented by teachers to achieve the desired learning or… 
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Related topics

Related topics

2 relations
Figurative system of human knowledgeSelf-reflection

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
DYNAMIC CINEMATIC TO A STRUCTURE 2R
Flat structures 2R can solve all the problems posed by all the robotic anthropomorphic structures. The study of the… 
Highly Cited
2013
Highly Cited
2013
Experimental evaluation of the impact of b-learning methodologies on engineering students in Spain
Highly Cited
2012
Highly Cited
2012
A Low-Complexity HEVC Intra Prediction Algorithm Based on Level and Mode Filtering
HEVC achieves a better coding efficiency relative to prior standards, but also involves increased complexity. For intra… 
Highly Cited
2008
Highly Cited
2008
Tracking of Nonstationary Noise Based on Data-Driven Recursive Noise Power Estimation
This paper considers estimation of the noise spectral variance from speech signals contaminated by highly nonstationary noise… 
2007
2007
Articulating case-based learning outcomes and assessment
Contemporary classroom practices have evolved, and are continuing to evolve toward an emphasis on authentic learning activities… 
Highly Cited
2000
Highly Cited
2000
Identifying single-ended contact formations from force sensor patterns
We present two methods of rapidly (less than 1 ms) identifying contact formations from force sensor patterns, including friction… 
Highly Cited
1999
Highly Cited
1999
Beginning Elementary School Teachers and the Effective Teaching of Science
Many factors influence the teaching of science by beginning teachers in elementary schools. They have to confront a myriad of… 
Highly Cited
1999
Highly Cited
1999
Selective training for hidden Markov models with applications to speech classification
Traditional maximum likelihood estimation of hidden Markov model parameters aims at maximizing the overall probability across the… 
1995
1995
Recurrent Multilayer Perceptrons for Identification and Control: The Road to Applications
This study investigates the properties of artiicial recurrent neural networks. Particular attention is paid to the question of… 
Highly Cited
1990
Highly Cited
1990
Who needs computers in schools, and why?
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