A framework to automatically analyze regulation

Lanqin Zheng; Moushir M. El-Bishouty; Colin Pinnell; Jason Bell; Vive Kumar; Kinshuk

doi:10.1007/978-3-662-44188-6_3

A framework to automatically analyze regulation

Lanqin Zheng, Moushir M. El-Bishouty, Colin Pinnell, Jason Bell, Vive Kumar, Kinshuk

School of Computing and Information systems

Research output: Contribution to journal › Journal Article › peer-review

5 Citations (Scopus)

Abstract

Self-regulated learning has achieved prominence in recent years. Helping students to become self-regulated learners is becoming a favorite target of researchers and educational practitioners. This study proposes a novel framework that can automatically analyze online self-regulated learning processes and competencies. It presents an analytics dashboard that encourages students to initiate activities of self-regulation and guide them to reflect on their competencies. The architecture of the framework and an applied scenario are presented and discussed in detail.

Original language	English
Pages (from-to)	23-30
Number of pages	8
Journal	Lecture Notes in Educational Technology
Issue number	9783662441879
DOIs	https://doi.org/10.1007/978-3-662-44188-6_3
Publication status	Published - 2015

Keywords

Competency
Dashboard
Learning analytics
Self-regulated learning

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10.1007/978-3-662-44188-6_3

Cite this

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AU - Bell, Jason

AU - Kumar, Vive

AU - Kinshuk,

PY - 2015

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AB - Self-regulated learning has achieved prominence in recent years. Helping students to become self-regulated learners is becoming a favorite target of researchers and educational practitioners. This study proposes a novel framework that can automatically analyze online self-regulated learning processes and competencies. It presents an analytics dashboard that encourages students to initiate activities of self-regulation and guide them to reflect on their competencies. The architecture of the framework and an applied scenario are presented and discussed in detail.

KW - Competency

KW - Dashboard

KW - Learning analytics

KW - Self-regulated learning

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U2 - 10.1007/978-3-662-44188-6_3

DO - 10.1007/978-3-662-44188-6_3

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JO - Lecture Notes in Educational Technology

JF - Lecture Notes in Educational Technology

IS - 9783662441879

ER -

A framework to automatically analyze regulation

Abstract

Keywords

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