论文信息 - Ontology Learning to Analyze Research Trends in Learning Analytics Publications

Ontology Learning to Analyze Research Trends in Learning Analytics Publications

In this paper, we show how ontology learning tools can be used to reveal (i) the central research topics that are tackled in the published literature on learning analytics and educational data mining; and (ii)relationships between these research topics and iii) (dis)similarities between learning analytics and educational data mining.

[1] Marti A. Hearst. Automatic Acquisition of Hyponyms from Large Text Corpora , 1992, COLING.

[2] Sergey Brin,et al. The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.

[3] Marek Hatala,et al. Towards open ontology learning and filtering , 2011, Inf. Syst..

[4] Alexander Dekhtyar,et al. Information Retrieval , 2018, Lecture Notes in Computer Science.

[5] Davide Taibi,et al. Fostering Analytics on Learning Analytics Research: the LAK Dataset , 2013, LAK.

[6] Dan Klein,et al. Accurate Unlexicalized Parsing , 2003, ACL.

[7] Pawan Kumar,et al. Notice of Violation of IEEE Publication Principles The Anatomy of a Large-Scale Hyper Textual Web Search Engine , 2009 .

[8] Marek Hatala,et al. Voting Theory for Concept Detection , 2012, ESWC.

[9] Dan Klein,et al. Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network , 2003, NAACL.

[10] Christopher D. Manning,et al. Generating Typed Dependency Parses from Phrase Structure Parses , 2006, LREC.