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What is SEM Modelling

Exploring Online Learning Through Synchronous and Asynchronous Instructional Methods
Abbreviation for structural equation modeling, which includes confirmatory factor analysis, confirmatory composite analysis, path analysis, etc. It is used in the social sciences because it can impute relationships between latent variables from observable variables.
Published in Chapter:
A Study on the Effectiveness of College English Blended Learning Under MOOCs Philosophy in China
Zhaohui Dai (Shanghai University, China & University of Wisconsin, Madison, USA)
DOI: 10.4018/978-1-7998-1622-5.ch011
Abstract
This study investigated the effectiveness of college English blended education under MOOCs philosophy in China. The findings suggest that many features of MOOCs philosophy are evident in college English blended education and eight factors influence effectiveness. Relationships of the influencing factors demonstrate that interactions and evaluations are highly influencing factors in autonomous learning and motivations exert high influences on autonomous learning. However, students have low motivation in interaction and evaluation, for they are more extrinsically than intrinsically motivated. And also, collaborative learning is the least influencing factor in the study. To motivate the students, great emphasis should be laid on interactions and evaluation in student's autonomous learning. Moreover, students' negative attitude towards autonomous learning hampers their adaptability to college English blended learning, and, as attitude and motivation are highly related, this deserves equal attention.
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