现代远程教育研究
現代遠程教育研究
현대원정교육연구
Modern Distance Education Research
2014年
5期
104~112
,共null页
生物信号 远程学习 过程监控 学习支持服务
生物信號 遠程學習 過程鑑控 學習支持服務
생물신호 원정학습 과정감공 학습지지복무
Physiological Signals;Distance Learning;Process Monitoring;Learning Support Services
学习过程监控是远程教育的关键环节。学习者在不同学习状态下，脑电波、脉搏、血压、皮温等生物信号会有所不同。基于生物信号采集的远程学习过程监控系统，利用生物传感器采集学习者在线学习时的生物信号，一方面将不同学习者呈现出的生物信号特征分类，建立生物信号分类数据库；另一方面，将动态采集的学习者生物信号通过蓝牙等无线传输方式输入学习终端，再通过Internet输入到远程学习管理中心，通过系统分析软件将采集到的生物信号与学习者生物信号分类数据库进行对比，以获得学习者的实时学习状态，为教师干预和学习者学习提供及时、有针对性的支持服务。基于眼动信号监控学习者疲劳状态的实验证明，利用生物信号采集技术对远程学习过程进行监控，有助于管理者掌握学习者的学习状态，并据此提供个性化学习过程和学习资源支持服务。
學習過程鑑控是遠程教育的關鍵環節。學習者在不同學習狀態下，腦電波、脈搏、血壓、皮溫等生物信號會有所不同。基于生物信號採集的遠程學習過程鑑控繫統，利用生物傳感器採集學習者在線學習時的生物信號，一方麵將不同學習者呈現齣的生物信號特徵分類，建立生物信號分類數據庫；另一方麵，將動態採集的學習者生物信號通過藍牙等無線傳輸方式輸入學習終耑，再通過Internet輸入到遠程學習管理中心，通過繫統分析軟件將採集到的生物信號與學習者生物信號分類數據庫進行對比，以穫得學習者的實時學習狀態，為教師榦預和學習者學習提供及時、有針對性的支持服務。基于眼動信號鑑控學習者疲勞狀態的實驗證明，利用生物信號採集技術對遠程學習過程進行鑑控，有助于管理者掌握學習者的學習狀態，併據此提供箇性化學習過程和學習資源支持服務。
학습과정감공시원정교육적관건배절。학습자재불동학습상태하，뇌전파、맥박、혈압、피온등생물신호회유소불동。기우생물신호채집적원정학습과정감공계통，이용생물전감기채집학습자재선학습시적생물신호，일방면장불동학습자정현출적생물신호특정분류，건립생물신호분류수거고；령일방면，장동태채집적학습자생물신호통과람아등무선전수방식수입학습종단，재통과Internet수입도원정학습관리중심，통과계통분석연건장채집도적생물신호여학습자생물신호분류수거고진행대비，이획득학습자적실시학습상태，위교사간예화학습자학습제공급시、유침대성적지지복무。기우안동신호감공학습자피로상태적실험증명，이용생물신호채집기술대원정학습과정진행감공，유조우관리자장악학습자적학습상태，병거차제공개성화학습과정화학습자원지지복무。
The learning process monitoring is the key component of the distance education. In different learning conditions, biological signals of learners such as the brain wave, the pulse, the blood pressure, the skin temperature and so on will be different. Distance learning process monitoring system, based on the biological signal acquisition, collects on-line learners＇ physiological signals by using the physiological signal sensors, firstly, to classify the biological signals of different learners and establish a classified data base, and secondly, to transfer the learners＇ physiological signals dynamically collected into the learning terminal via the built-in Bluetooth and then input them to the distance learning management center through the Internet. At the same time, the system gets the learners＇ real-time learning state by comparing their physiological signals with the classified data base with the help of the system analysis software to provide timely targeted support services for teachers＇ intervention and learners＇ learning. The experiment on monitoring learners＇ fatigue state based on the eye movement signals proves that using biological signal acquisition technology to monitor distance learning process is helpful for the managers to know the learners＇ learning state and provide individual learning process and learning resources support services.
