scholarly journals A multistrategy learning approach to domain modeling and knowledge acquisition

2005 ◽  
pp. 14-32
Author(s):  
Gheorghe Tecuci
Keyword(s):  
Knowledge Acquisition ◽  
Multistrategy Learning ◽  
Learning Approach ◽  
Domain Modeling

Mining Classification Rules in Multistrategy Learning Approach

1998 ◽  
Vol 2 (3) ◽  
pp. 165-185
Author(s):  
Zhou Yuanhui ◽  
Lu Yuchang ◽  
Shi Chunyi
Keyword(s):  
Multistrategy Learning ◽  
Learning Approach ◽  
Classification Rules

A Learning Approach for Knowledge Acquisition in the Legal Domain

2010 ◽  
pp. 219-233 ◽  
Author(s):  
Enrico Francesconi
Keyword(s):  
Knowledge Acquisition ◽  
Learning Approach ◽  
Legal Domain

scholarly journals THE USEFULNESS OF A MACHINE LEARNING APPROACH TO KNOWLEDGE ACQUISITION

1995 ◽  
Vol 11 (2) ◽  
pp. 268-279 ◽  
Author(s):  
Dobroslawa M. Grzymala-Busse ◽  
Jerzy W. Grzymala-Busse
Keyword(s):  
Machine Learning ◽  
Knowledge Acquisition ◽  
Learning Approach ◽  
Machine Learning Approach

Collaborative Environment for Remote Clinical Reasoning Learning

2016 ◽  
Vol 7 (4) ◽  
pp. 62-81 ◽  
Author(s):  
Mohamed Abderraouf Ferradji ◽  
Abdelmadjid Zidani
Keyword(s):  
Medical Education ◽  
Collaborative Learning ◽  
Knowledge Acquisition ◽  
Clinical Reasoning ◽  
Learning Approach ◽  
Clinical Knowledge ◽  
Shared Workspace ◽  
Collaborative Environment ◽  
Learning Tasks ◽  
Gray Areas

Despite the significant advances achieved these recent last years in terms of technologies widespread use in medical education, clinical reasoning learning (CRL) remains an extremely hard task in which there are still many gray areas that should be enlightened to better understand it. Furthermore, while CRL is basically a collaborative task implying the participation of many students and tutors working simultaneously on a same case, it should be considered from a social perspective. The authors followed then a collaborative-based learning approach, which consists in designing a shared workspace to support collaboration and enable social clinical knowledge acquisition. They started with a deep analysis of the CRL process in order to understand the usual way under which students learn together and then, highlight the vital collaborative learning tasks that need to be supported. The resulting designed model allowed us to shift towards Collaborative CRL (CCRL).

Mining classification rules in multistrategy learning approach

1998 ◽  
Vol 2 (1-4) ◽  
pp. 165-185 ◽  
Author(s):  
Z YUANHUI ◽  
L YUCHANG ◽  
S CHUNYI
Keyword(s):  
Multistrategy Learning ◽  
Learning Approach ◽  
Classification Rules

scholarly journals STEM education supported by virtual laboratory incorporated in self-directed learning process

2019 ◽  
Vol 70 (4) ◽  
pp. 332-344
Author(s):  
Peter Trúchly ◽  
Martin Medvecký ◽  
Pavol Podhradský ◽  
Nour El Mawas
Keyword(s):  
Knowledge Acquisition ◽  
Information And Communication Technologies ◽  
Virtual Laboratory ◽  
Knowledge Gain ◽  
Learning Approach ◽  
Motivation To Learn ◽  
Self Directed Learning ◽  
Virtual Lab ◽  
Directed Learning ◽  
The Impact

Abstract Students education in various fields (such as science, technology, engineering, and mathematics) is constantly looking for ways and techniques on how to motivate students to learn, how to increase their engagement and how to increase the e ciency of knowledge acquisition. Information and communication technologies are developing at a very rapid speed and o er many new opportunities that could be used for such purposes. This paper focuses on virtual laboratory technologies that could be very helpful for these learning problems especially for subjects that lose the interest of young people. We have conducted two pilots at a Slovak secondary school and university to analyse the usability of self-directed learning applied to teach networking topics such as software-defined networking and network functions virtualisation. This learning approach was enhanced by a developed virtual lab and a set of self-tests. Knowledge tests and questionnaires have been used to investigate the impact of this self-directed virtual lab-based learning approach on students motivation to learn, feelings, satisfaction with learning approach and knowledge gain. The results showed that students appreciated the virtual laboratory for improving learning and their motivation to learn and their knowledge acquisition was noticeably improved when the virtual lab was included.

Knowledge acquisition in expert system assisted diagnosis : a machine learning approach

1987 ◽  
pp. 99-103 ◽  
Author(s):  
M. Funk ◽  
R. D. Appel ◽  
Ch. Roch ◽  
D. Hochstrasser ◽  
Ch. Pellegrini ◽  
...  
Keyword(s):  
Machine Learning ◽  
Expert System ◽  
Knowledge Acquisition ◽  
Learning Approach ◽  
Machine Learning Approach ◽  
Assisted Diagnosis

A framework for knowledge base refinement through multistrategy learning and knowledge acquisition

1994 ◽  
Vol 6 (2) ◽  
pp. 137-162 ◽  
Author(s):  
Gheorghe Tecuci ◽  
David Duff
Keyword(s):  
Knowledge Acquisition ◽  
Knowledge Base ◽  
Multistrategy Learning ◽  
Knowledge Base Refinement
Sign in / Sign up

Export Citation Format

Share Document