Design and application of an online English self-learning platform

被引:7
作者
Liu K. [1 ]
机构
[1] School of Information Engineering, Qujing Normal University, Qijing
关键词
B/S; Online English; Self-learning; System development;
D O I
10.3991/ijet.v12.i08.7133
中图分类号
学科分类号
摘要
This paper discusses the English learning methods and identifies the problems in English teaching and self-learning in China, and then based on the VB platform, it proposes building a platform to facilitate communication between teachers, learners and other participants. At the same time, it adopts the object-oriented development approach to analyze the construction method for the online English self-learning platform and uses UML language to design this platform. At last, this paper uses general testing methods to test the interfaces, functions, performances and security of the VB-based online English selflearning platform and analyzes the performances and deficiencies of the platform based on test results.
引用
收藏
页码:4 / 13
页数:9
相关论文
共 18 条
[1]  
Silva Marco A.P., Idiart M.A.P., Autonomous learning architecture for environmental mapping, Journal of Intelligent & Robotic Systems, 39, 3, pp. 243-263, (2004)
[2]  
Schiebener D., Morimoto J., Asfour T., Ude A., Integrating visual perception and manipulation for autonomous learning of object representations, Adaptive Behavior, 21, 5, pp. 328-345, (2013)
[3]  
Shen W.M., Discovery as autonomous learning from the environment, Machine Learning, 12, 1, pp. 143-165, (1993)
[4]  
Mugan J., Kuipers B., Autonomous learning of high-level states and actions in continuous environments, IEEE Transactions on Autonomous Mental Development, 4, 1, pp. 70-86, (2012)
[5]  
Leclercq E., Druaux F., Lefebvre D., Zerkaoui S., Autonomous learning algorithm for fully connected recurrent networks, Neurocomputing, 63, pp. 25-44, (2005)
[6]  
Snodin N.S., The effects of blended learning with a cms on the development of autonomous learning: a case study of different degrees of autonomy achieved by individual learners, Computers & Education, 61, 1, pp. 209-216, (2013)
[7]  
Moriyama T., Gunji Y.P., Autonomous learning in maze solution by octopus, Ethology, 103, 103, pp. 499-513, (1997)
[8]  
Piastra M., 2013 special issue: self-organizing adaptive map: autonomous learning of curves and surfaces from point samples, Neural Networks, 41, 6, pp. 96-112, (2013)
[9]  
Di N.A., Marocco D., Di N.S., Cangelosi A., Autonomous learning in humanoid robotics through mental imagery, Neural Networks, 41, 5, (2013)
[10]  
Geiger C.D., Uzsoy R., Aytu H., Rapid modeling and discovery of priority dispatching rules: an autonomous learning approach, Journal of Scheduling, 9, 1, pp. 7-34, (2006)