Title :
Analysis of impact of teacher´s personality characteristics on E-learning
Author_Institution :
Shanghai Univ. of Finance & Econ., Shanghai, China
Abstract :
Based on an actual dataset of a college, this paper used the statistical sampling method to analyze the relation between the college teachers´ network class upload quantity, visit quantity and the college teachers´ four personality characteristics: gender, age and title. Therefore the colleges should take the teachers´ personality characteristics into account to adopt the effective measures for the college networking education building.
Keywords :
computer aided instruction; human factors; sampling methods; teaching; E-learning; college networking education building; college teacher; network class upload quantity; statistical sampling method; teacher personality characteristics; visit quantity; Computer science; Computer science education; Data mining; Educational institutions; Electronic learning; Electronic mail; Environmental economics; Finance; Sampling methods; Statistics; Data Mining (DM); Knowledge Discovery (KD); college teachers´personality characteristics; network education rescource;
Conference_Titel :
Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-3520-3
Electronic_ISBN :
978-1-4244-3521-0
DOI :
10.1109/ICCSE.2009.5228271
