Behavior Data Collectionin in Collaborative Virtual Learning Environment - Mines Saint-Étienne Access content directly
Conference Papers Year : 2021

Behavior Data Collectionin in Collaborative Virtual Learning Environment

Juanqiong Gou
  • Function : Author
  • PersonId : 1051201
Wenxin Mu
  • Function : Author
  • PersonId : 998572

Abstract

Educational Data Mining has gained a variety of attention. It describes students’ cognitive needs through data mining, and provides individualized knowledge support for cognitive differences.Although the application of data mining algorithms is relatively mature, the data pre-processing based on data collection still suffers from high costs. Thepaper focusona researchquestion: how to effectively collect behavior data in virtual learning environments?“Effectively” in the sense of ensuring that value-intensive behavior data on decision-making can be accurately collected which reflects the students’cognitive. Therefore, the paper presents a method to achieve the object.The method comprises six steps, including extraction, transformation, determination, design, trigger and store. Based on the fact that all behavior data generated by the interaction is objective, identifying the collection points on the trigger event matches the granularity level of behavior data. Considering the related platforms and intelligent applications, the method can be used, providing behavior data support for the research of knowledge services.
Fichier principal
Vignette du fichier
18-pro-ve-vf.pdf (1.02 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

emse-03338492 , version 1 (24-11-2021)

Identifiers

Cite

Tianqi Wu, Juanqiong Gou, Wenxin Mu, Zhe Wang. Behavior Data Collectionin in Collaborative Virtual Learning Environment. 22nd Working Conference on Virtual Enterprises (PRO-VE 2021), Nov 2021, Saint-Etienne, France. pp.199-211, ⟨10.1007/978-3-030-85969-5_18⟩. ⟨emse-03338492⟩
25 View
63 Download

Altmetric

Share

Gmail Facebook X LinkedIn More