ML Anthology

Measuring Students' Engagement with Digital Interactive Textbooks by Analyzing Clickstream Data

Breanne Crockett
AAAI 2022 pp. 13132-13133
doi:10.1609/AAAI.V36I11.21702 /aaai/2022/crockett2022aaai-measuring/

Abstract

This paper provides an overview of my contributions to a project to measure and predict student’s mental workload when using digital interactive textbooks. The current work focuses on analysis of clickstream data from the textbook in search of viewing patterns among students. It was found that students typically fit one of three viewing patterns. These patterns can be used in further research to inform creation of new interactive texts for improved student success.

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Cite

Text

Crockett. "Measuring Students' Engagement with Digital Interactive Textbooks by Analyzing Clickstream Data." AAAI Conference on Artificial Intelligence, 2022. doi:10.1609/AAAI.V36I11.21702

Markdown

[Crockett. "Measuring Students' Engagement with Digital Interactive Textbooks by Analyzing Clickstream Data." AAAI Conference on Artificial Intelligence, 2022.](https://mlanthology.org/aaai/2022/crockett2022aaai-measuring/) doi:10.1609/AAAI.V36I11.21702

BibTeX

@inproceedings{crockett2022aaai-measuring,
  title     = {{Measuring Students' Engagement with Digital Interactive Textbooks by Analyzing Clickstream Data}},
  author    = {Crockett, Breanne},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2022},
  pages     = {13132-13133},
  doi       = {10.1609/AAAI.V36I11.21702},
  url       = {https://mlanthology.org/aaai/2022/crockett2022aaai-measuring/}
}