Video lectures (VL), considered an effective means for delivering course content and infusing teaching presence in the virtual environment, have become very popular in education. The purpose of this study was to investigate online student experiences with VL focusing on their opinion of usefulness of VL, their satisfaction with them and their perception of learning derived from them. Our findings show that students' satisfaction with VL has a strong relationship with positive overall learning experience and perception of impact of video on learning. Furthermore, VL can enhance a feeling of engagement with content because of learners' control of the media and instructors' presence. The findings also alert us on the importance of careful planning and balanced integration of VL with other course materials. This provides important information on the effectiveness of video-lectures in college teaching and learning and implications for practice in online course design.

Integrating network technology fully into traditional teaching can realize resource sharing to the greatest extent, so the establishment of distance education and network teaching platform has become the inevitable development of the time. The purpose of this paper is to build an embedded mobile teaching model based on network streaming media technology. The technology application, system composition and structure, realization process, and teaching method of the system are introduced in detail. The system energy consumption, bit rate of video information, and buffer technology were optimized, respectively. In this system, the energy consumption optimization method of mobile streaming media is adopted, and Central Processing Unit (CPU) resources are allocated reasonably according to the principle of maximizing rewards, so as to achieve the purpose of reducing power consumption. The results show that the system can effectively ensure the normal transmission of large multimedia information stream data through the network by using streaming media playback technology, and users can control the teaching process through interactive operation, which makes the network multimedia distance teaching based on streaming media develop in an all-round way and bring advanced teaching mode for education.

In human-computer interaction and social communication, one's behavior and affective response depend on his personality and environmental stimulus. This means that his behavior and affective response are personalized. In this work, we attempted to build personalization into Game-Based Learning (GBL) system according to user's personality and affective response. User's personality is depicted with a set of attributes such as preference, attitude, character tendency, knowledge & skill, and so on. User's profile is constructed via psychological testing, facial expression recognition, psychophysiology analysis, and behavior analysis. And then, the GBL presents appropriate scenarios and levels adapted to user profile. This will contribute to user's mastery of knowledge & skill, and help user to regulate and improve his personality traits.

The study was made on a MEMS-based thermal emissivity variable micro-thermal control device to meet the requirements of the thermal control system of the spacecraft. An emissivity adjustment model for louvers was established. Main parameters that influence the equivalent emissivity of the louver were also investigated. Characteristics such as the electrostatic torque driven by parallel electrodes were modeled and analyzed. As a result, curves of the relationship between angles driven by parallel electrodes and electrostatic torques were obtained. Based on theoretical analysis, the adjustment range of the thermal emissivity was obtained for torsional micro-thermal control devices. The results showed that the properties meet the requirements for the control of space thermal emissivity.