research-article

Uncovering what matters: analyzing transitional relations among contribution types in knowledge-building discourse

Authors:

Monica ResendesAuthors Info & Claims

LAK '14: Proceedings of the Fourth International Conference on Learning Analytics And Knowledge

Pages 226 - 230

https://doi.org/10.1145/2567574.2567606

Published: 24 March 2014 Publication History

Abstract

Temporality matters for analysis of collaborative learning. The present study attempts to uncover temporal patterns that distinguish "productive" threads of knowledge building inquiry. Using a rich knowledge building discourse dataset, in which notes' contribution types and threads' productivity have been coded, a secondary temporal analysis was conducted. In particular, Lag-sequential Analysis was conducted to identify transitional patterns among different contribution types that distinguish productive threads from "improvable" ones. Results indicated that productive inquiry threads involved significantly more transitions among questioning, theorizing, obtaining information, and working with information; in contrast, responding to questions and theories by merely giving opinions was not sufficient to achieve knowledge progress. This study highlights the importance of investigating temporality in collaborative learning and calls for attention to developing and testing temporal analysis methods in learning analytics research.

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Cited By

Celepkolu MGaldo ABoyer K(2022)Fostering Balanced Contributions Among Children Through Dialogue VisualizationIEEE Transactions on Learning Technologies10.1109/TLT.2022.319364815:4(454-466)Online publication date: 1-Aug-2022
https://doi.org/10.1109/TLT.2022.3193648
Celepkolu MWiggins JGaldo ABoyer K(2021)Designing a visualization tool for children to reflect on their collaborative dialogueInternational Journal of Child-Computer Interaction10.1016/j.ijcci.2020.10023227:COnline publication date: 1-Mar-2021
https://dl.acm.org/doi/10.1016/j.ijcci.2020.100232
Del Valle MGruzd AKumar PGilbert S(2020)Learning in the Wild: Understanding Networked Ties in RedditMobility, Data and Learner Agency in Networked Learning10.1007/978-3-030-36911-8_4(51-68)Online publication date: 27-Mar-2020
https://doi.org/10.1007/978-3-030-36911-8_4
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Index Terms

Uncovering what matters: analyzing transitional relations among contribution types in knowledge-building discourse
1. Applied computing
  1. Education
2. Computing methodologies
  1. Machine learning

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cover image ACM Other conferences

LAK '14: Proceedings of the Fourth International Conference on Learning Analytics And Knowledge

March 2014

301 pages

ISBN:9781450326643

DOI:10.1145/2567574

Conference Chairs:
Mattew Pistilli
Purdue University, IN
,
James Willis
Purdue University, IN
,
Drew Koch
John N. Gardner Institute for Excellence in Undergraduate Education, NC
,
Kimberly Arnold
University of Wisconsin-Madison, WI
,
Program Chairs:
Stephanie Teasley
University of Michigan, MI
,
Abelardo Pardo
The University of Sydney, Australia

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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JNGI: John N. Gardner Institute for Excellence in Undergraduate Education
University of Wisc-Madison: University of Wisconsin-Madison
SoLAR: The Society for Learning Analytics Research
Purdue University: Purdue University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 March 2014

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JNGI
University of Wisc-Madison
SoLAR
Purdue University

LAK '14: Learning Analytics and Knowledge Conference 2014

March 24 - 28, 2014

Indiana, Indianapolis, USA

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LAK '14 Paper Acceptance Rate 13 of 44 submissions, 30%;

Overall Acceptance Rate 236 of 782 submissions, 30%

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Cited By

Celepkolu MGaldo ABoyer K(2022)Fostering Balanced Contributions Among Children Through Dialogue VisualizationIEEE Transactions on Learning Technologies10.1109/TLT.2022.319364815:4(454-466)Online publication date: 1-Aug-2022
https://doi.org/10.1109/TLT.2022.3193648
Celepkolu MWiggins JGaldo ABoyer K(2021)Designing a visualization tool for children to reflect on their collaborative dialogueInternational Journal of Child-Computer Interaction10.1016/j.ijcci.2020.10023227:COnline publication date: 1-Mar-2021
https://dl.acm.org/doi/10.1016/j.ijcci.2020.100232
Del Valle MGruzd AKumar PGilbert S(2020)Learning in the Wild: Understanding Networked Ties in RedditMobility, Data and Learner Agency in Networked Learning10.1007/978-3-030-36911-8_4(51-68)Online publication date: 27-Mar-2020
https://doi.org/10.1007/978-3-030-36911-8_4
Sharma KPapamitsiou ZGiannakos M(2019)Modelling Learners’ Behaviour: A Novel Approach Using GARCH with Multimodal DataTransforming Learning with Meaningful Technologies10.1007/978-3-030-29736-7_34(450-465)Online publication date: 9-Sep-2019
https://doi.org/10.1007/978-3-030-29736-7_34
Liu ZSun JZhang WCheng HLiu S(2018)Investigating Relationship Between Discourse Behavioral Patterns and Academic Achievements of Students in SPOC Discussion ForumInternational Journal of Distance Education Technologies10.4018/IJDET.201804010316:2(37-50)Online publication date: 1-Apr-2018
https://dl.acm.org/doi/10.4018/IJDET.2018040103
Wise A(2018)Learning Analytics: Using Data-Informed Decision-Making to Improve Teaching and LearningContemporary Technologies in Education10.1007/978-3-319-89680-9_7(119-143)Online publication date: 9-Nov-2018
https://doi.org/10.1007/978-3-319-89680-9_7
Knight SWise AChen BCheng BBaron JLynch GMaziarz NBlikstein PMerceron ASiemens G(2015)It's about timeProceedings of the Fifth International Conference on Learning Analytics And Knowledge10.1145/2723576.2723638(388-389)Online publication date: 16-Mar-2015
https://dl.acm.org/doi/10.1145/2723576.2723638

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