Data archeology: A theory informed approach to analyzing data traces of social interaction in large scale learning environments

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish (US)
Title of host publicationProceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) Workshop on Modeling Large Scale Social Interaction In Massively Open Online Courses (Doha, Qatar)
PublisherACL
Pages1–2
StatePublished - 2014

Cite this

Wise, A. (2014). Data archeology: A theory informed approach to analyzing data traces of social interaction in large scale learning environments. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) Workshop on Modeling Large Scale Social Interaction In Massively Open Online Courses (Doha, Qatar) (pp. 1–2). ACL.

Data archeology : A theory informed approach to analyzing data traces of social interaction in large scale learning environments. / Wise, Alyssa.

Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) Workshop on Modeling Large Scale Social Interaction In Massively Open Online Courses (Doha, Qatar). ACL, 2014. p. 1–2.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wise, A 2014, Data archeology: A theory informed approach to analyzing data traces of social interaction in large scale learning environments. in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) Workshop on Modeling Large Scale Social Interaction In Massively Open Online Courses (Doha, Qatar). ACL, pp. 1–2.
Wise A. Data archeology: A theory informed approach to analyzing data traces of social interaction in large scale learning environments. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) Workshop on Modeling Large Scale Social Interaction In Massively Open Online Courses (Doha, Qatar). ACL. 2014. p. 1–2
Wise, Alyssa. / Data archeology : A theory informed approach to analyzing data traces of social interaction in large scale learning environments. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) Workshop on Modeling Large Scale Social Interaction In Massively Open Online Courses (Doha, Qatar). ACL, 2014. pp. 1–2
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