Detecting the Disengaged Reader - Using Scrolling Data to Predict Disengagement during Reading-Reference-Cited by-同舟云学术

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Detecting the Disengaged Reader - Using Scrolling Data to Predict Disengagement during Reading

Published:2023-03-13 Issue: Volume: Page:
ISSN:
Container-title:LAK23: 13th International Learning Analytics and Knowledge Conference
language:
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Author:

Biedermann Daniel¹^ORCID,Schneider Jan¹^ORCID,Ciordas-Hertel George-Petru¹^ORCID,Eichmann Beate²^ORCID,Hahnel Carolin²^ORCID,Goldhammer Frank²^ORCID,Drachsler Hendrik¹^ORCID

Affiliation:

1. DIPF | Leibniz Institute for Research and Information in Education, Germany

2. DIPF | Leibniz Institute for Research and Information in Education, Germany and Centre for International Student Assessment (ZIB), Germany

Funder

Leibniz-Gemeinschaft

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576050.3576078

Reference22 articles.

1. The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances

2. Digital self‐control interventions for distracting media multitasking ‐ A systematic review

3. How many words do we read per minute? A review and meta-analysis of reading rate

4. What else do college students “do” while studying? An investigation of multitasking

5. Conceptualising and Measuring Student Disengagement in Higher Education: A Synthesis of the Literature

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. To Read or Not to Read: Predicting Student Engagement in Interactive Reading;Lecture Notes in Computer Science;2024

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