Using Epistemic Networks to Analyze Self-regulated Learning in an Open-Ended Problem-Solving Environment

Luc Paquette, Theodore Grant, Yingbin Zhang, Gautam Biswas, Ryan Baker

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

Abstract

The micro-level analyses of how students’ self-regulated learning (SRL) behaviors unfold over time provides a valuable framework for understanding their learning processes as they interact with computer-based learning environments. In this paper, we use log trace data to investigate how students self-regulate their learning in the Betty’s Brain environment, where they engage in three categories of open-ended problem-solving actions: information seeking, solution construction and solution assessment. We use Epistemic Network Analysis (ENA) to provide us with an overall understanding of the co-occurrences between action types both within and between the three action categories. Comparisons of epistemic networks generated for two groups of students, those with low and high performance, provided us with insights into their self-regulated behaviors.

Original languageEnglish (US)
Title of host publicationAdvances in Quantitative Ethnography - Second International Conference, ICQE 2020, Proceedings
EditorsAndrew R. Ruis, Seung B. Lee
PublisherSpringer
Pages185-201
Number of pages17
ISBN (Print)9783030677879
DOIs
StatePublished - 2021
Event2nd International Conference on Quantitative Ethnography, ICQE 2020 - Malibu, United States
Duration: Feb 1 2021Feb 3 2021

Publication series

NameCommunications in Computer and Information Science
Volume1312
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference2nd International Conference on Quantitative Ethnography, ICQE 2020
Country/TerritoryUnited States
CityMalibu
Period2/1/212/3/21

Keywords

  • Betty’s Brain
  • Epistemic network analysis
  • Open-ended problem-solving
  • Self-regulated learning

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

Fingerprint

Dive into the research topics of 'Using Epistemic Networks to Analyze Self-regulated Learning in an Open-Ended Problem-Solving Environment'. Together they form a unique fingerprint.

Cite this