Construction of Knowledge Model in Collaborative Learning System

2013 ◽  
Vol 380-384 ◽  
pp. 2781-2785
Author(s):  
Shang Fu Hao ◽  
Xia Zhang ◽  
Bai Li Sun
Keyword(s):  
Collaborative Learning ◽  
Learning System ◽  
Knowledge Model ◽  
Construction Of Knowledge ◽  
Teaching Resource ◽  
System A ◽  
Learning Research ◽  
Resource Library ◽  
Computer Organization ◽  
The Relationship

Base on the study of interactive collaborative learning system, a construction program of a knowledge-centric interactive collaborative learning system is proposed. The program adopts the knowledge point as the smallest element of teaching resource library, and constructs knowledge model through the relationship between knowledge points. In this paper, the course Computer Organization Principles is taken as an example to build knowledge point repository which is with a certain applicable value and be of guiding significance for the subsequent collaborative learning research.

scholarly journals Research Trend of Causal Machine Learning Method: A Literature Review

2020 ◽  
Vol 9 (2) ◽  
pp. 111-118
Author(s):  
Shindy Arti ◽  
Indriana Hidayah ◽  
Sri Suning Kusumawardhani
Keyword(s):  
Machine Learning ◽  
Learning System ◽  
Research Trend ◽  
Learning Approaches ◽  
Algorithm Performance ◽  
Combination Technique ◽  
Causal Impact ◽  
Learning Research ◽  
The Relationship ◽  
Selection Of

Machine learning is commonly used to predict and implement  pattern recognition and the relationship between variables. Causal machine learning combines approaches for analyzing the causal impact of intervention on the result, asumming a considerably ambigous variables. The combination technique of causality and machine learning is adequate for predicting and understanding the cause and effect of the results. The aim of this study is a systematic review to identify which causal machine learning approaches are generally used. This paper focuses on what data characteristics are applied to causal machine learning research and how to assess the output of algorithms used in the context of causal machine learning research. The review paper analyzes 20 papers with various approaches. This study categorizes data characteristics based on the type of data, attribute value, and the data dimension. The Bayesian Network (BN) commonly used in the context of causality. Meanwhile, the propensity score is the most extensively used in causality research. The variable value will affect algorithm performance. This review can be as a guide in the selection of a causal machine learning system.

scholarly journals Relations Between Safety and Security in Technical Systems

2007 ◽  
Vol 3 (1) ◽  
pp. 63-73 ◽  
Author(s):  
Zbigniew Smalko
Keyword(s):  
Decision Maker ◽  
Machine System ◽  
System A ◽  
The Subject ◽  
Technical Systems ◽  
Machine Control ◽  
The Relationship

Relations Between Safety and Security in Technical Systems The subject of this paper deals with the relationship between safety and security of the man - machine system. In the above system a man can act both as a decision - maker and operator. His desired psychophysical efficiency lies in the undertaking the correct decisions as well as in the skilful machine control and operating.

Lessons Learned … About Curriculum: Five Years on and Half a World Away

2005 ◽  
Vol 24 (2) ◽  
pp. 111-126 ◽  
Author(s):  
Doune Macdonald ◽  
Lisa Hunter
Keyword(s):  
Physical Education ◽  
Lessons Learned ◽  
National Standards ◽  
Primary Field ◽  
Health And Physical Education ◽  
Construction Of Knowledge ◽  
The Social ◽  
Social Construction Of Knowledge ◽  
The Relationship ◽  
Selection Of

The knowledge, skills, and attitudes manifested in health and physical education school curricula are an arbitrary selection of that which is known and valued at a particular place and time. Bernstein’s (2000) theories of the social construction of knowledge offer a way to better understand the relationship between the production, selection, and reproduction of curricular knowledge. This article overviews contemporary knowledge in the primary field (production) upon which curriculum writers in the recontextualizing field may draw. It highlights tensions in the knowledge generated within the primary field and, using a case of the USA’s National Standards for Physical Education (NASPE), demonstrates how particular discourses become privileged when translated into curriculum documents in the recontextualizing field.

scholarly journals Evaluation of laparoscopic vs robotic partial nephrectomy using the margin, ischemia and complications score system: a retrospective single center analysis

2015 ◽  
Vol 87 (1) ◽  
pp. 49 ◽  
Author(s):  
Stefano Ricciardulli ◽  
Qiang Ding ◽  
Xu Zhang ◽  
Hongzhao Li ◽  
Yuzhe Tang ◽  
...  
Keyword(s):  
Partial Nephrectomy ◽  
Risk Groups ◽  
Matched Pair ◽  
P Value ◽  
Robotic Partial Nephrectomy ◽  
Score System ◽  
Operative Outcomes ◽  
System A ◽  
Binary Regression Analysis ◽  
The Relationship

Objective: To evaluate differences between Laparoscopic Partial Nephrectomy (LPN) and Robot-Assisted Partial Nephrectomy (RAPN) using the Margin, Ischemia and Complications (MIC) score system and to evaluate factors related with MIC success. Materials and Methods: Single centre retrospective study on 258 LPN and 58 RAPN performed between January 2012 and January 2014. Success was defined when surgical margins was negative, Warm Ischemia Time (WIT) was ≤ 20 minutes and no major complications occurred. Mann-Whitney-U and Pearson χ2 correlation were used to compare LPN and RAPN. A matched pair comparison was also performed. Spearman correlation (Rho) was used to evaluate the relationship between clinical, intra and post-operative and pathological patients characteristics with MIC score. A binary regression analysis was also performed to evaluate independent factors associated with MIC success. Results: The MIC rate in LPN and RAPN was 55% and 65.5% respectively. No differences in clinical, intra and post-operative outcomes between groups were found. Clinical tumor size (p-value: < 0.001; OR: 0.829; 95% CI: 0.697-0.987), PADUA score (p-value: < 0.001; OR: 0.843; 95% CI: 0.740-0.960), PADUA risk groups (intermediate; p-value: < 0.001; OR: 0.416; 95% CI: 0.238- 0.792; high: p-value: < 0.001; OR: 0.356; 95% CI: 0.199- 0.636), WIT (p-value: < 0.001; OR: 0.598; 95% CI: 0.530- 0.675) were independently associated with MIC. eGFR (< 60 vs ≥ 60 ml/min per 1.73 m2: p-value: < 0.001; OR: 3.356; 95% CI: 1.701-6.621) and Fuhrman nuclear grade (p-value: 0.014; OR: 1.798; 95% CI:1.129-2.865) were also independently associated with MIC. Conclusions: MIC score system is a simple and useful tool to report and to compare different surgical approach.

Sign in / Sign up

Export Citation Format

Share Document