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
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Integrity signals
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Claims the paper makes
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?
In the citing paper
“Most previous studies reported that blended learning could improve learning engagement.”
From A meta-analysis of effects of blended learning on performance, attitude, achievement, and engagement across different countries (2023) · cites this paper as Pérez-Marín and Pascual-Nieto, 2011
Citations
Cites
Blended learning: Uncovering its transformative potential in higher education
Garrison, D. R., & Kanuka, H. (2004) · The Internet and Higher Education · doi:10.1016/j.iheduc.2004.02.001 · Cited by 4,849
The Handbook of Blended Learning: Global Perspectives, Local Designs
Bonk, C. J., Graham, C. R., Cross, J., & Moore, M. G. (2005) · Cited by 2,583
Rovai, A. P., & Jordan, H. (2004) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v5i2.192 · Cited by 1,078
Building Effective Blended Learning Programs
Singh, H. (2021) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-7998-7607-6.ch002 · Cited by 997
The Relationship Between Self-Regulation and Online Learning in a Blended Learning Context
Lynch, R., & Dembo, M. (2004) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v5i2.189 · Cited by 398
Theory and distance education: A new discussion
Simonson, M. R., Schlosser, C., & Hanson, D. (1999) · American Journal of Distance Education · doi:10.1080/08923649909527014 · Cited by 254
The role of structure, patterns, and people in blended learning
Derntl, M., & Motschnig-Pitrik, R. (2005) · The Internet and Higher Education · doi:10.1016/j.iheduc.2005.03.002 · Cited by 217
Faculty Best Practices Using Blended Learning in E-Learning and Face-to-Face Instruction
Mortera-Gutiérrez, F. (2004) · Institutional Repository of Tecnológico de Monterrey (Tecnológico de Monterrey) · Cited by 202
‘Practical Work in School Science’
Bassey, M. (1963) · Technical Education and Industrial Training · doi:10.1108/eb015272 · Cited by 129
Larson, R. C., & Murray, M. (2008) · Online Learning · doi:10.24059/olj.v12i1.52 · Cited by 71
Research works printed but not linked: 6
- Howard L, Remenyi Z, and Pap G (2006) Adaptive blended learning environments. International conference on engineering education, San Juan, Puerto Rico, pp. 23–28
- 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
- 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
- Monteith M (1998) Information technology for learning enhancement. Sweets and Zeitlinger Publishers, Exeter
- 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
- 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
Cao, W. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1212056 · Cited by 94
Meta-analyses of differences in blended and traditional learning outcomes and students' attitudes
Yu, Z., Xu, W., & Sukjairungwattana, P. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.926947 · Cited by 85
Zamroni, E., Muslihati, M., Lasan, B. B., & Hidayah, N. (2020) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1539/1/012039 · Cited by 36
Blended learning in biochemistry education: Analysis of medical students' perceptions
Wardenski, R. D. F., de Espíndola, M. B., Struchiner, M., & Giannella, T. R. (2012) · Biochemistry and Molecular Biology Education · doi:10.1002/bmb.20618 · Cited by 28
Students' satisfaction on blended learning: The use of factor analysis
Tahar, N. F., Mokhtar, R., Jaafar, N. H., Zamani, N. D., Sukiman, S. A., & Ismail, Z. (2013) · IEEE Conference on e-Learning, e-Management and e-Services (IC3e) · doi:10.1109/ic3e.2013.6735965 · Cited by 26
Metadata
- Authors
- Pérez-Marín, D., & Pascual-Nieto, I.
- Affiliations
- Universidad Rey Juan Carlos (ES)
- Universidad Autónoma de Madrid (ES)
- Corresponding author
- Pérez-Marín, Diana
- ORCID
- 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
About these checks
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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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.
