Effects of learning strategy on gambling choice behavior: Simulation study

Under the Background of Medical Alliances Construction a Simulation Study on the Residents’ First Diagnosis Choice Behavior at Basic-medical Institutions Based on SD Model : —Taking Jiangsu province, China as an Example

2020 International Conference on Public Health and Data Science (ICPHDS) ◽

10.1109/icphds51617.2020.00045 ◽

2020 ◽

Author(s):

Shaoliang Tang ◽

Cong Wang ◽

Kean Tang

Keyword(s):

Simulation Study ◽

Choice Behavior ◽

Jiangsu Province ◽

Medical Institutions ◽

Basic Medical ◽

Sd Model ◽

First Diagnosis

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Pedestrian choice behavior analysis and simulation of ticket gate machine in rail transit station

International Journal of Modern Physics C ◽

10.1142/s012918311950027x ◽

2019 ◽

Vol 30 (04) ◽

pp. 1950027 ◽

Cited By ~ 1

Author(s):

Yongxing Li ◽

David Z.W. Wang ◽

Yanyan Chen ◽

Chengcheng Song ◽

Hongfei Jia ◽

...

Keyword(s):

Simulation Model ◽

Minimum Distance ◽

Choice Behavior ◽

Simulation Software ◽

Rail Transit ◽

Matlab Simulation ◽

Behavior Simulation ◽

Minimum Number ◽

Simulation Results ◽

Pedestrian Simulation

Considering pedestrian preferences for the minimum distance, the minimum number of queuing pedestrians and the shortest estimated time, three pedestrian choice strategies of ticket gate machine are proposed. Pedestrian choice strategies of ticket gate machine are added into pedestrian simulation model which is based on cellular automata, and pedestrian choice behavior simulation model of ticket gate machine is obtained. On the platform of MATLAB simulation software, pedestrian choice behavior is simulated. Simulation results indicate that choice strategies of ticket gate machine proposed in this paper describe pedestrian choice behavior well, and it needs to consider the ratio of bidirectional pedestrian generation rate in the process of setting ticket gate machines in the bidirectional passage.

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Promoting Better Choices: Effects of Strategy Training on Achievement and Choice Behavior in Learner-Controlled CBI

Journal of Educational Computing Research ◽

10.2190/xfm5-1fut-4ubb-r64k ◽

1995 ◽

Vol 13 (2) ◽

pp. 129-149 ◽

Cited By ~ 2

Author(s):

Anju Relan

Keyword(s):

Experimental Design ◽

Choice Behavior ◽

Learning Strategy ◽

Learner Control ◽

Sixth Graders ◽

Strategy Training ◽

Factorial Experimental Design ◽

Training Interventions ◽

Computer Based ◽

Training Research

The purpose of this study was to investigate the effects of learning strategy training interventions and the incorporation of learner control on achievement, learning efficiency, and instructional choice, while subjects learned from a computer-based science tutorial. One hundred and seven sixth-graders were randomly divided into six cells, within a 3 × 2 factorial experimental design consisting of two treatment factors: Learner Control ( Complete and Limited), and Strategy Training ( Comprehensive, Partial, and No Training). An ANCOVA performed on the immediate posttest revealed an interaction between Strategy Training and Learner Control, favoring the Limited Learner Control, trained groups. However, the small positive achievement effects were not sustained over the delayed posttest. Total amount of review was not affected by treatments, but an interaction was found between Strategy Training (Partial vs. Comprehensive), and Learner Control on amount of review during practice. These findings are discussed within the framework of learning strategy training research and principles for instructional designs incorporating learner control.

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