Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

7-2022

Abstract

Reflection is often used as a tool to analyse student learning, be it for internalizing of acquired knowledge or as a form of seeking help through expression of doubts or misconceptions. However, it can be a challenge to extract relevant information from the free-form reflection text. Often times the workload of manually analyzing the reflection text can be a form of deterrence instead of providing insights in the course delivery for instructors, let alone improving the learning experience. In this paper, we review the current usage of reflection and propose an automated reflection framework, together with an end-to-end analysis of reflection that provides agility in the course delivery and, at the same time, timely feedback to both students and instructors.

Keywords

Reflection Framework, Course Evaluation, NLP

Discipline

Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

Proceeding of 23rd International Conference, Durham, UK, 2022 July 27-31

First Page

293

Last Page

297

ISBN

9783031116469

Identifier

10.1007/978-3-031-11647-6_55

Publisher

Springer

City or Country

Durham University, UK

Additional URL

http://doi.org/10.1007/978-3-031-11647-6_55

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