Exploring Affective and Cognitive Measurements in Global Online Learning

Author:

Zheng Robert Z.1ORCID

Affiliation:

1. The University of Utah, USA

Abstract

The chapter tries to identify cognitive and affective factors that affect learners' online learning. Based on a comprehensive review of the theories and frameworks, constructs related to cognitive and affective performance were identified which further serve as the bases for the development of two instruments: cognitive measurement in online learning and affective measurement in online learning. The endeavor is significant at both theoretical and practical levels. Theoretically, the chapter contributes to the understanding of the factors (cognitive and affective) that affect online learning by revealing the underlying constructs in online environment. Practically, it provides educators with the instruments that can be used to measure cognitive and affective aspects in online learning. Finally, the recommendations are made in relation to the use of the instruments.

Publisher

IGI Global

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