Predicting Learning by Analyzing Eye-Gaze Data of Reading Behavior

@inproceedings{Rajendran2018PredictingLB,
  title={Predicting Learning by Analyzing Eye-Gaze Data of Reading Behavior},
  author={Ramkumar Rajendran and Anurag Kumar and Kelly E. Carter and Daniel T. Levin and Gautam Biswas},
  booktitle={EDM},
  year={2018}
}
Researchers have highlighted how tracking learners’ eye-gaze can reveal their reading behaviors and strategies, and this provides a framework for developing personalized feedback to improve learning and problem solving skills. In this paper, we describe analyses of eye-gaze data collected from 16 middle school students who worked with Betty’s Brain, an open-ended learning environment, where students learn science by building causal models to teach a virtual agent. Our goal was to test whether… CONTINUE READING

Similar Papers

References

Publications referenced by this paper.
SHOWING 1-10 OF 34 REFERENCES

Providing adaptive scaffolds and measuring their effectiveness in open ended learning environments

S. Basu, G. Biswas
  • In Proceedings of International Society of the Learning Sciences
  • 2016
VIEW 1 EXCERPT