Linguistic Changes across Different User Roles in Online Learning Environment. What do they tell us?
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(Published version)
Date
2020
Authors
Sivaneasharajah, L.
Atapattu, T.
Falkner, K.
Editors
Rafferty, A.N.
Whitehill, J.
Romero, C.
Cavalli-Sforza, V.
Whitehill, J.
Romero, C.
Cavalli-Sforza, V.
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Conference paper
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Proceedings of the 13th International Conference on Educational Data Mining (EDM 2020), 2020 / Rafferty, A.N., Whitehill, J., Romero, C., Cavalli-Sforza, V. (ed./s), pp.667-671
Statement of Responsibility
Lavendini Sivaneasharajah, Katrina Falkner, Thushari Atapattu
Conference Name
Educational Data Mining (EDM) (10 Jul 2020 - 13 Jul 2020 : virtual online)
Abstract
In recent years, we have witnessed an increasing interest in online learning environments, particularly in Massive Open Online Courses (MOOCs). However, prevailing studies show that lower percentage of students complete their courses successfully in online learning environment. The vast amount of student data available in MOOC platforms enables us to gain insight into student learning behaviours. In this paper, we explore the idea of ‘student roles’, identifying linguistic change associated with roles that will later help us to understand students’ learning process in MOOCs. As an initial stage of this research, the study aims to categorise student roles (e.g. information seeker, information giver) using discourse analysis, and to further analyse the linguistic change for each student role with time. A multi-class classifier has been built to identify user roles with 82.20% F-measure. Further, our study on linguistic changes demonstrates that distinctive behaviors can be observed across different user roles. Prominent observations include discourse complexity, lexical diversity, level of information embeddedness and lexical frequency profile being high in information giver in comparison to information seeker and other user roles.
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© The Author(s) 2020. Upon acceptance of the Work, the author shall grant to the Publisher the right of first publication of the Work. The Author shall grant to the Publisher and its agents the nonexclusive perpetual right and license to publish, archive, and make accessible the Work in whole or in part in all forms of media now or hereafter known under a Creative Commons 4.0 License (Attribution-Noncommercial-No Derivatives 4.0 International)