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Frontiers of CyberlearningLearning Traces, Competence Assessment, and Causal Inference for English Composition

Frontiers of Cyberlearning: Learning Traces, Competence Assessment, and Causal Inference for... [It is widely acknowledged that writing is a process and should be taught as a process. However, it is still assessed as though it is a product. Educational technology makes now possible for teachers to become observers of the writing process of their students to discover how their writing competences (e.g., grammatical accuracy, topic flow, transition, and vocabulary usage) develop over time. The present research proposes an innovative technique to identify the actual drivers of writing performance through a formal causality framework, unleashing a new source of potential insights to scaffold more effectively the writing process and guarantee more reliable success at the end. ] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Frontiers of CyberlearningLearning Traces, Competence Assessment, and Causal Inference for English Composition

Part of the Lecture Notes in Educational Technology Book Series
Editors: Spector, J. Michael; Kumar, Vivekanandan; Essa, Alfred; Huang, Yueh-Min; Koper, Rob; Tortorella, Richard A. W.; Chang, Ting-Wen; Li, Yanyan; Zhang, Zhizhen
Clemens, Clayton; Kumar, Vivekanandan; Boulanger, David; Seanosky, Jérémie; Kinshuk,
Frontiers of Cyberlearning — Nov 4, 2018
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References (29)

Publisher
Springer Singapore
Copyright
© Springer Nature Singapore Pte Ltd. 2018
ISBN
978-981-13-0649-5
Pages
49 –67
DOI
10.1007/978-981-13-0650-1_3
Publisher site
See Chapter on Publisher Site

Abstract

[It is widely acknowledged that writing is a process and should be taught as a process. However, it is still assessed as though it is a product. Educational technology makes now possible for teachers to become observers of the writing process of their students to discover how their writing competences (e.g., grammatical accuracy, topic flow, transition, and vocabulary usage) develop over time. The present research proposes an innovative technique to identify the actual drivers of writing performance through a formal causality framework, unleashing a new source of potential insights to scaffold more effectively the writing process and guarantee more reliable success at the end. ]

Published: Nov 4, 2018

Keywords: Analytics of writing process; Causality; Competence; Big data; Natural-language processing; Learning analytics

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