The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Enhancing digital reading performance with a collaborative reading annotation system
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“This could be partially explained because d igital reading presents exclusive features that we cannot encounter in print materials such as interactivity, nonlinearity, immediacy in accessing information and the convergence of text, images, audio, and video (Chen & Chen, 2014).”
From Do New Forms of Reading Pay Off? A Meta-Analysis on the Relationship Between Leisure Digital Reading Habits and Text Comprehension (2025) · cites this paper as Chen & Chen, 2014
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Metadata
- Authors
- Chen, C.-M., & Chen, F.-Y.
- Affiliations
- National Chengchi University (TW)
- Corresponding author
- Chen, Chih-Ming
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2014-08
- Volume
- 77
- Pages
- 67-81
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2078252508
- Cited by
- 141
- References
- 56
- Citations by year
- 2026: 10 · 2025: 13 · 2024: 17 · 2023: 17 · 2022: 10 · 2021: 14 · 2020: 13 · 2019: 15 · 2018: 8 · 2017: 11 · 2016: 8 · 2015: 3 · 2014: 2
- FWCI
- 18.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers & Education (publishedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Education › Literacy and Educational Practices
- Keywords
- digital reading, reading comprehension, reading annotation, interactive discussion, reading strategies, reading attitudes, elementary school students, screen-based reading, inferential comprehension, learning satisfaction
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.