A Computer-Assisted Learning System in the Teaching of Infrared Spectroscopy Course

Author(s):  
Zhaoli Zhang ◽  
Taihe Cao ◽  
Hai Liu ◽  
Jiangbo Shu ◽  
Zhenhua Li
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 ◽  
...  

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