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Cited by 23Online and Blended LearningEducational Technology and E-LearningOnline Learning and Analytics

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

A Case Study on the Use of Blended Learning to Encourage Computer Science Students to Study

Pérez-Marín, Diana, Pascual-Nieto, Ismael·2012·Journal of Science Education and Technology

Overview

Integrity signals

Registry

Crossref · 10.1007/s10956-011-9283-6

Cites

20 of 20 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 20 references

Research works printed but not linked: 6

  1. Howard L, Remenyi Z, and Pap G (2006) Adaptive blended learning environments. International conference on engineering education, San Juan, Puerto Rico, pp. 23–28
  2. Kim W (2007) Towards a definition and methodology for blended learning. In: Fong J, Wang FL (eds) Blended learning. Prentice Hall, Pearson Education, New Jersey, pp 1–8
  3. Lee P, Chan FT (2007) Blended learning: experiences of adult learners in Hong Kong. In: Fong J, Wang FL (eds) Blended learning. Prentice Hall, Pearson Education, New Jersey, pp 79–87
  4. Monteith M (1998) Information technology for learning enhancement. Sweets and Zeitlinger Publishers, Exeter
  5. Ng P, Tsoi RH (2008) A study on the students’ perception of adopting blended learning at sub-degree level international conference in hybrid learning. City University of Hong Kong, Hong Kong, pp 78–88
  6. Pérez-Marín D, Pascual-Nieto I, Alfonseca E, Anguiano E, Rodríguez P (2007) A study on the impact of the use of an automatic and adaptive free-text assessment system during a university course. In: Fong J, Wang FL (eds) Blended learning. Prentice Hall, Pearson Education, New Jersey, pp 186–195

Cited by

See all 23

Metadata

Authors
Pérez-Marín, D., & Pascual-Nieto, I.
Affiliations
  • Universidad Rey Juan Carlos (ES)
  • Universidad Autónoma de Madrid (ES)
Corresponding author
Pérez-Marín, Diana
Venue
Journal of Science Education and Technology
Published
2011-01-28
Volume
21
Issue
1
Pages
74-82
ISSN
  • 1059-0145 (ISSN-L)
  • 1573-1839
OpenAlex
W2041097428
Cited by
21
References
20
Citations by year
2026: 1 · 2024: 4 · 2023: 2 · 2022: 2 · 2021: 2 · 2020: 1 · 2018: 1 · 2017: 1 · 2016: 1 · 2015: 3 · 2014: 1 · 2013: 1 · 2012: 1
FWCI
4.38
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
Journal of Science Education and Technology (publishedVersion)
Topics
  • Social Sciences › Education › Online and Blended Learning
  • Physical Sciences › Computer Science › Information Systems › Educational Technology and E-Learning
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
Keywords
blended learning, procrastination, computer science students, study habits, exam preparation, student 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.

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How to cite

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This page
CoChat. (2026). Citation check: A Case Study on the Use of Blended Learning to Encourage Computer Science Students to Study. https://app.cochat.ai/papers/10.1007/s10956-011-9283-6
The paper
Pérez-Marín, D., & Pascual-Nieto, I. (2012). A Case Study on the Use of Blended Learning to Encourage Computer Science Students to Study. Journal of Science Education and Technology. https://doi.org/10.1007/s10956-011-9283-6

Data sources

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.