Human Computer Interaction of E-Learning
Research on the Human Computer Interaction of E-learning
Shu-mei Zhang 1, Qin-chuan Zhan 1, He-min Du 2
I
School of Art & Design, Shaanxi University of Science & Technology Xi 'an, P.R.China
2
sjxy@sust.edu.cn xtdn-dhm@126.com Institute of Industrial Design, Northwestern Polytechnic University Xi 'an, P.R.China
Abstract-Although the hardware and software technology affect the development of E-Iearning technology, but human computer interaction factor determines the ultimate learning efficiency from another perspective. This thesis begins with the analysis of digital technology, from a cognitive psychological perspective, analyzes and discusses the importance of the human-computer interaction design for E-Iearning. In this thesis, use visual stimuli as an example of the cognitive environment, analyze the relationship between the cognitive psychology and human-computer interaction. We get up a strategy which can use neural network algorithm to realize optimization of the scheme design for human-computer interaction program. Finally, an example was given which have verified the human-computer interaction techniques.
Computer Interaction, Neural Network
Index Terms-E-Iearning, Cognitive Psychology, Human
1. INTRODUCTION
E-learning is the production which be produced with the development of information technology. Particularly, the connotation and extension of E-learning is expanding with the development of computer technology which use network as feature. Previous research in the field of E-learning more focused on technical standards and means of content production, however, E-learning is not a simple means of supporting teaching, it is necessary to focus on "educating" and more pay attention to "learning". The ultimate purpose of E-learning is good results which memory learning should be achieved. He Ke-kang is a teacher of Institute of Modem Educational Technology of Beijing Normal University, he pointed out that the E-learning doesn 't
Shu-mei Zhang 1, Qin-chuan Zhan 1, He-min Du 2
I
School of Art & Design, Shaanxi University of Science & Technology Xi 'an, P.R.China
2
sjxy@sust.edu.cn xtdn-dhm@126.com Institute of Industrial Design, Northwestern Polytechnic University Xi 'an, P.R.China
Abstract-Although the hardware and software technology affect the development of E-Iearning technology, but human computer interaction factor determines the ultimate learning efficiency from another perspective. This thesis begins with the analysis of digital technology, from a cognitive psychological perspective, analyzes and discusses the importance of the human-computer interaction design for E-Iearning. In this thesis, use visual stimuli as an example of the cognitive environment, analyze the relationship between the cognitive psychology and human-computer interaction. We get up a strategy which can use neural network algorithm to realize optimization of the scheme design for human-computer interaction program. Finally, an example was given which have verified the human-computer interaction techniques.
Computer Interaction, Neural Network
Index Terms-E-Iearning, Cognitive Psychology, Human
1. INTRODUCTION
E-learning is the production which be produced with the development of information technology. Particularly, the connotation and extension of E-learning is expanding with the development of computer technology which use network as feature. Previous research in the field of E-learning more focused on technical standards and means of content production, however, E-learning is not a simple means of supporting teaching, it is necessary to focus on "educating" and more pay attention to "learning". The ultimate purpose of E-learning is good results which memory learning should be achieved. He Ke-kang is a teacher of Institute of Modem Educational Technology of Beijing Normal University, he pointed out that the E-learning doesn 't
References: [1] [2] He Ke-kang. The nature of e-Learning. E-education research [J], 2002,1. Yu Sheng-quan. From knowledge to situated 7� 18 transfer to the cognitive construction, then [3] cognition. China audiovisual Yi =f(Lxiwij-8) i-l EUROCON 2007 The International Conference on "Computer as a Tool" Warsaw,September 9-12, 2670-2675 [5] Van Ping-fan, Zhang Chang-shui. Artificial neural networks and simulated evolutionary computation University Press, 2000 [M]. Beijing: Tsinghua (6)