research-article

Second International Workshop on Teaching Analytics

Authors:

Ravi Vatrapu,

Peter Reimann,

Wolfgang Halb,

Susan BullAuthors Info & Claims

LAK '13: Proceedings of the Third International Conference on Learning Analytics and Knowledge

Pages 287 - 289

https://doi.org/10.1145/2460296.2460360

Published: 08 April 2013 Publication History

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Abstract

Teaching Analytics is conceived as a subfield of learning analytics that focuses on the design, development, evaluation, and education of visual analytics methods and tools for teachers in primary, secondary, and tertiary educational settings. The Second International Workshop on Teaching Analytics (IWTA) 2013 seeks to bring together researchers and practitioners in the fields of education, learning sciences, learning analytics, and visual analytics to investigate the design, development, use, evaluation, and impact of visual analytical methods and tools for teachers' dynamic diagnostic decision-making in real-world settings.

References

[1]

Vatrapu, R., Reimann, P. and Hussain, A. Towards Teaching Analytics: Repertory Grids for Formative Assessment. In Proc. International Conference of the Learning Sciences (ICLS) 2012 (2012).

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[2]

Vatrapu, R., Tanveer, U. and Hussain, A. Towards teaching analytics: communication and negotiation tool (CoNeTo). In Proc. Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design, ACM (2012), 775--776.

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[3]

Vatrapu, R., Teplovs, C., Fujita, N. and Bull, S. Towards Visual Analytics for Teachers' Dynamic Diagnostic Pedagogical Decision-Making. Paper presented at the 1st International Conference on Learning Analytics & Knowledge (LAK 2011), Banff, Canada. (2011).

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Prieto LSharma KKidzinski ŁRodríguez‐Triana MDillenbourg P(2018)Multimodal teaching analytics: Automated extraction of orchestration graphs from wearable sensor dataJournal of Computer Assisted Learning10.1111/jcal.1223234:2(193-203)Online publication date: 24-Jan-2018
https://doi.org/10.1111/jcal.12232
Prieto LSharma KDillenbourg PJesús MGašević DLynch GDawson SDrachsler HPenstein Rosé C(2016)Teaching analyticsProceedings of the Sixth International Conference on Learning Analytics & Knowledge10.1145/2883851.2883927(148-157)Online publication date: 25-Apr-2016
https://dl.acm.org/doi/10.1145/2883851.2883927
Dessus PCosnefroy OLuengo V(2016)“Keep Your Eyes on ’em all!”: A Mobile Eye-Tracking Analysis of Teachers’ Sensitivity to StudentsAdaptive and Adaptable Learning10.1007/978-3-319-45153-4_6(72-84)Online publication date: 7-Sep-2016
https://doi.org/10.1007/978-3-319-45153-4_6

Index Terms

Second International Workshop on Teaching Analytics
1. Computing methodologies
  1. Artificial intelligence
    1. Philosophical/theoretical foundations of artificial intelligence
      1. Cognitive science
2. Human-centered computing
  1. Collaborative and social computing
  2. Human computer interaction (HCI)
    1. Empirical studies in HCI

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In this paper, we present a short description of CoNeTo, a web-based collaborative application that facilitates the communication and negotiation of students' learning activities and inferences about their knowledge states, skill levels, and aptitudes ...

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Published In

LAK '13: Proceedings of the Third International Conference on Learning Analytics and Knowledge

April 2013

300 pages

ISBN:9781450317856

DOI:10.1145/2460296

Editors:
Dan Suthers
University of Hawaii, USA
,
Katrien Verbert
Eindhoven University of Technology, The Netherlands
,
Erik Duval
University of Leuven, Belgium
,
Xavier Ochoa
Escuela Superior Politécnica del Litoral, Ecuador

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Association for Computing Machinery

New York, NY, United States

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Published: 08 April 2013

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Seventh Framework Programme

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LAK '13

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SIGWEB
K.U. Leuven
SIGCHI

LAK '13: Third Conference on Learning Analytics and Knowledge

April 8 - 13, 2013

Leuven, Belgium

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LAK '13 Paper Acceptance Rate 16 of 58 submissions, 28%;

Overall Acceptance Rate 236 of 782 submissions, 30%

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Prieto LSharma KKidzinski ŁRodríguez‐Triana MDillenbourg P(2018)Multimodal teaching analytics: Automated extraction of orchestration graphs from wearable sensor dataJournal of Computer Assisted Learning10.1111/jcal.1223234:2(193-203)Online publication date: 24-Jan-2018
https://doi.org/10.1111/jcal.12232
Prieto LSharma KDillenbourg PJesús MGašević DLynch GDawson SDrachsler HPenstein Rosé C(2016)Teaching analyticsProceedings of the Sixth International Conference on Learning Analytics & Knowledge10.1145/2883851.2883927(148-157)Online publication date: 25-Apr-2016
https://dl.acm.org/doi/10.1145/2883851.2883927
Dessus PCosnefroy OLuengo V(2016)“Keep Your Eyes on ’em all!”: A Mobile Eye-Tracking Analysis of Teachers’ Sensitivity to StudentsAdaptive and Adaptable Learning10.1007/978-3-319-45153-4_6(72-84)Online publication date: 7-Sep-2016
https://doi.org/10.1007/978-3-319-45153-4_6

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Teaching analytics: towards automatic extraction of orchestration graphs using wearable sensors

Towards visual analytics for teachers' dynamic diagnostic pedagogical decision-making

Towards teaching analytics: communication and negotiation tool (CoNeTo)

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