Participatory Design Study through the Development of a Tai Chi Kinect V2 Computer Assisted Learning System

2021 ◽  
Author(s):  
Lina Zheng
2013 ◽  
Vol 373-375 ◽  
pp. 504-508
Author(s):  
Rong Gui Ma ◽  
Fang Zhou Liu

The paper analyzes the working theory of a Speech Conversion System from PuTongHua to Cantonese based on iFLY MSP 2.0. In the system, QISR interface is chosen to complete speech recognition function which is the key technology to convert the voice information into the corresponding text information. Moreover, the QTTS interface is chosen to complete the text to speech function which is the key technology to transform the text which is the result of the speech recognition into the spoken information in Cantonese and then output. Finally, the computer assisted learning system is designed successfully in the environment of Visual C++ 6.0.


10.28945/3550 ◽  
2016 ◽  
Vol 15 ◽  
pp. 409-429 ◽  
Author(s):  
Mark H McManis ◽  
Lilla D McManis

The use of touch-based technologies by young children to improve academic skills has seen growth outpacing empirical evidence of its effectiveness. Due to the educational challenges low-income children face, the stakes for providing instructional technology with demonstrated efficacy are high. The current work presents an empirical study of the use of a touch-based, computer-assisted learning system by low-income preschoolers. A description of the system’s design is provided with attention to young children’s interaction with touch devices, learner engagement, and pedagogically-based delivery of academic content. Children in 18 low-income child-care preschool classrooms were assessed on literacy and math skills in the fall and again in the spring. Target children used the iStartSmart learning system throughout the academic year, while control children did not have access to the system. Compared to controls, children using the learning system made significant gains on external standardized measures of literacy and math. Children who spent more time using the system and those who reached the upper levels of skill understanding showed the strongest improvement in test scores. The findings contribute to the currently sparse literature by illuminating that for at-risk early learners, touch-based, computer-assisted instructional technology shows promise as an educational tool.


2013 ◽  
Vol 64 (2) ◽  
pp. 126-126
Author(s):  
H. Kataoka ◽  
T. Fukuhara ◽  
K. Kawamoto ◽  
N. Miyake ◽  
T. Fujii ◽  
...  

1983 ◽  
Vol 1983 (1) ◽  
pp. 243-243
Author(s):  
C. H. Peabody ◽  
R. H. Goodman

ABSTRACT Response to recent oil spill incidents has shown the need to augment the training of oil spill response teams. At the spill site, the on-scene commander attempts to correlate all the available information to implement the optimum cleanup strategy promptly. In most cases, rapid decision-making is lacking. Traditional hands-on training supplies response crews with practical experience in oil spill cleanup but leaves the on-scene commander unprepared for the time pressures of a real situation. To simulate these pressures dramatically, a new technique using computer assisted learning has been developed for training on-scene commanders. The computer assisted learning system will not replace the hands-on training field exercises, but complement them. Two oil spill scenarios have been developed. The first involves a continuous leak in a fast-flowing river system, limited equipment and manpower constraints. The second involves an instantaneous discharge in the open ocean. This introduces the problem of determining the spill location, compounded by weather and equipment concerns. A 48-hour scenario is simulated in four hours actual time. The on-scene commander responds to the spill situation by interacting with the computer display terminal. He can request weather information and spill trajectories, deploy booms and skimmers, and be presented with problems to be solved in a time-pressure situation. These problems include the sighting of oiled birds, press conference, labor strikes, weather changes, and equipment breakdowns. On termination of the simulated response, data are provided on the amount of oil recovered, the percent of shoreline oil, and the total cost of the cleanup. Average values are compiled for comparative purposes. The computer assisted learning program has proven to be a useful adjunct to our usual training program and provides the on-scene commander trainee the opportunity to experience the time pressures of and decision-making required during an oil spill response.


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