Early Prediction of Student Self-Regulation Strategies by Combining Multiple Models

@inproceedings{Sabourin2012EarlyPO,
  title={Early Prediction of Student Self-Regulation Strategies by Combining Multiple Models},
  author={Jennifer Sabourin and Bradford W. Mott and James C. Lester},
  booktitle={EDM},
  year={2012}
}
Self-regulated learning behaviors such as goal setting and monitoring have been found to be crucial to students’ success in computer-based learning environments. Consequently, understanding students’ self-regulated learning behavior has been the subject of increasing interest. Unfortunately, monitoring these behaviors in real-time has proven challenging. This paper explores a variety of data mining approaches to predicting student self-regulation capabilities. Students are classified into SRL… CONTINUE READING

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SHOWING 1-10 OF 17 REFERENCES

Attributions as Motivators of Self-Regulated Learning, in Motivation and Self-Regulated Learning: Theory, Research, and Applications

  • D. H. Schunk
  • 2008
1 Excerpt

Goal Setting: A Key Proactive Source of Academic Self-Regulation, in Motivation and Self-Regulated Learning: Theory, Research, and Applications

  • B. Zimmerman
  • 2008
2 Excerpts

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