Analytics of social processes in learning contexts: A multi-level perspective

Carolyn P. Rosé; Dragan Gaesevic; Pierre Dillenbourg; Yohan Jo; Gaurav Tomar; Oliver Ferschke; Gijsbert Erkens; Anouschka Van Leeuwen; Jeroen Janssen; Mieke Brekelmans; Jennifer Tan; Elizabeth Koh; Imelda Caleon; Christin Jonathan; Simon Yang

Analytics of social processes in learning contexts: A multi-level perspective

Carolyn P. Rosé, Dragan Gaesevic, Pierre Dillenbourg, Yohan Jo, Gaurav Tomar, Oliver Ferschke, Gijsbert Erkens, Anouschka Van Leeuwen, Jeroen Janssen, Mieke Brekelmans, Jennifer Tan, Elizabeth Koh, Imelda Caleon, Christin Jonathan, Simon Yang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

In the past two decades, the field of Machine Learning has not only greatly expanded in terms of the plethora of increasingly powerful modeling frameworks it has provided, but has also birthed the applied fields of Educational Data Mining and Learning Analytics. Learning Analytics has blossomed as an area in the Learning Sciences, promising impact for various stakeholders working at different educational levels, such as Instructional Designers, Students, Instructors, Policymakers and Administrators. This symposium offers a taste of cutting edge work across each of these levels, with a common emphasis on analytics applied to social processes.

Original language	English
Title of host publication	12th International Conference of the Learning Sciences, ICLS 2016: Transforming Learning, Empowering Learners, Proceedings
Publisher	International Society of the Learning Sciences (ISLS)
Pages	24-31
Number of pages	8
Volume	1
ISBN (Electronic)	9780990355090
Publication status	Published - 2016
Event	12th International Conference of the Learning Sciences: Transforming Learning, Empowering Learners, ICLS 2016 - Singapore, Singapore Duration: 20 Jun 2016 → 24 Jun 2016

Conference

Conference	12th International Conference of the Learning Sciences: Transforming Learning, Empowering Learners, ICLS 2016
Country/Territory	Singapore
City	Singapore
Period	20/06/16 → 24/06/16

Keywords

Discourse analytics
Learning analytics
Social analytics

Cite this

Rosé, C. P., Gaesevic, D., Dillenbourg, P., Jo, Y., Tomar, G., Ferschke, O., Erkens, G., Van Leeuwen, A., Janssen, J., Brekelmans, M., Tan, J., Koh, E., Caleon, I., Jonathan, C., & Yang, S. (2016). Analytics of social processes in learning contexts: A multi-level perspective. In 12th International Conference of the Learning Sciences, ICLS 2016: Transforming Learning, Empowering Learners, Proceedings (Vol. 1, pp. 24-31). International Society of the Learning Sciences (ISLS).

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title = "Analytics of social processes in learning contexts: A multi-level perspective",

abstract = "In the past two decades, the field of Machine Learning has not only greatly expanded in terms of the plethora of increasingly powerful modeling frameworks it has provided, but has also birthed the applied fields of Educational Data Mining and Learning Analytics. Learning Analytics has blossomed as an area in the Learning Sciences, promising impact for various stakeholders working at different educational levels, such as Instructional Designers, Students, Instructors, Policymakers and Administrators. This symposium offers a taste of cutting edge work across each of these levels, with a common emphasis on analytics applied to social processes.",

keywords = "Discourse analytics, Learning analytics, Social analytics",

author = "Ros{\'e}, {Carolyn P.} and Dragan Gaesevic and Pierre Dillenbourg and Yohan Jo and Gaurav Tomar and Oliver Ferschke and Gijsbert Erkens and {Van Leeuwen}, Anouschka and Jeroen Janssen and Mieke Brekelmans and Jennifer Tan and Elizabeth Koh and Imelda Caleon and Christin Jonathan and Simon Yang",

year = "2016",

language = "English",

volume = "1",

pages = "24--31",

booktitle = "12th International Conference of the Learning Sciences, ICLS 2016: Transforming Learning, Empowering Learners, Proceedings",

publisher = "International Society of the Learning Sciences (ISLS)",

note = "12th International Conference of the Learning Sciences: Transforming Learning, Empowering Learners, ICLS 2016 ; Conference date: 20-06-2016 Through 24-06-2016",

}

Rosé, CP, Gaesevic, D, Dillenbourg, P, Jo, Y, Tomar, G, Ferschke, O, Erkens, G, Van Leeuwen, A , Janssen, J, Brekelmans, M, Tan, J, Koh, E, Caleon, I, Jonathan, C & Yang, S 2016, Analytics of social processes in learning contexts: A multi-level perspective. in 12th International Conference of the Learning Sciences, ICLS 2016: Transforming Learning, Empowering Learners, Proceedings. vol. 1, International Society of the Learning Sciences (ISLS), pp. 24-31, 12th International Conference of the Learning Sciences: Transforming Learning, Empowering Learners, ICLS 2016, Singapore, Singapore, 20/06/16.

Analytics of social processes in learning contexts: A multi-level perspective. / Rosé, Carolyn P.; Gaesevic, Dragan; Dillenbourg, Pierre et al.
12th International Conference of the Learning Sciences, ICLS 2016: Transforming Learning, Empowering Learners, Proceedings. Vol. 1 International Society of the Learning Sciences (ISLS), 2016. p. 24-31.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Analytics of social processes in learning contexts

T2 - 12th International Conference of the Learning Sciences: Transforming Learning, Empowering Learners, ICLS 2016

AU - Rosé, Carolyn P.

AU - Gaesevic, Dragan

AU - Dillenbourg, Pierre

AU - Jo, Yohan

AU - Tomar, Gaurav

AU - Ferschke, Oliver

AU - Erkens, Gijsbert

AU - Van Leeuwen, Anouschka

AU - Janssen, Jeroen

AU - Brekelmans, Mieke

AU - Tan, Jennifer

AU - Koh, Elizabeth

AU - Caleon, Imelda

AU - Jonathan, Christin

AU - Yang, Simon

PY - 2016

Y1 - 2016

N2 - In the past two decades, the field of Machine Learning has not only greatly expanded in terms of the plethora of increasingly powerful modeling frameworks it has provided, but has also birthed the applied fields of Educational Data Mining and Learning Analytics. Learning Analytics has blossomed as an area in the Learning Sciences, promising impact for various stakeholders working at different educational levels, such as Instructional Designers, Students, Instructors, Policymakers and Administrators. This symposium offers a taste of cutting edge work across each of these levels, with a common emphasis on analytics applied to social processes.

AB - In the past two decades, the field of Machine Learning has not only greatly expanded in terms of the plethora of increasingly powerful modeling frameworks it has provided, but has also birthed the applied fields of Educational Data Mining and Learning Analytics. Learning Analytics has blossomed as an area in the Learning Sciences, promising impact for various stakeholders working at different educational levels, such as Instructional Designers, Students, Instructors, Policymakers and Administrators. This symposium offers a taste of cutting edge work across each of these levels, with a common emphasis on analytics applied to social processes.

KW - Discourse analytics

KW - Learning analytics

KW - Social analytics

UR - http://www.scopus.com/inward/record.url?scp=84987811295&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84987811295

VL - 1

SP - 24

EP - 31

BT - 12th International Conference of the Learning Sciences, ICLS 2016: Transforming Learning, Empowering Learners, Proceedings

PB - International Society of the Learning Sciences (ISLS)

Y2 - 20 June 2016 through 24 June 2016

ER -

Analytics of social processes in learning contexts: A multi-level perspective

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Keywords

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