The DOI matches its Crossref record.
Building Effective Blended Learning Programs
Abstract
The term ‘remote learning' became very common during the COVID-19 pandemic as remote work and remote learning became common practices across the globe. Education and training programs have shifted to self-paced eLearning and virtual classrooms. Post COVID-19, even when learning returns to the physical classroom, the trend toward blended learning will continue. In this chapter, the authors explore how eLearning has evolved toward blended learning and how we can use modern technologies like artificial intelligence and learning models such as microlearning and spaced learning to improve blended learning.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Four key challenges to the design of blended learning: A systematic literature review
Boelens, R., De Wever, B., & Voet, M. (2017) · Educational Research Review · doi:10.1016/j.edurev.2017.06.001 · Cited by 698
Virtual Reality and Its Applications in Education: Survey
Kamińska, D., Sapiński, T., Wiak, S., Tikk, T., Haamer, R., Avots, E., Helmi, A., Ozcinar, C., & Anbarjafari, G. (2019) · Information · doi:10.3390/info10100318 · Cited by 459
(2013) · Deakin Research Online (Deakin University) · Cited by 313
Evaluating Student Satisfaction with Blended Learning in a Gender-Segregated Environment
Abou Naaj, M., Nachouki, M., & Ankit, A. (2012) · Journal of Information Technology Education: Research · doi:10.28945/1692 · Cited by 189
Role of AI in Blended Learning: A Systematic Literature Review
Park, Y., & Doo, M. Y. (2024) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v25i1.7566 · Cited by 81
Metadata
- Authors
- Singh, H.
- Venue
- Advances in Educational Technologies and Instructional Design
- Publisher
- IGI Global
- Published
- 2021
- Pages
- 15-23
- ISSN
- 2326-8905 (ISSN-L)
- 2326-8913
- OpenAlex
- W133488953
- Cited by
- 993
- References
- 0
- FWCI
- 439.57
- Type
- book chapter
- Language
- en
- Open access
- closed
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Building Effective Blended Learning Programs. https://app.cochat.ai/papers/10.4018/978-1-7998-7607-6.ch002
- The paper
- Singh, H. (2021). Building Effective Blended Learning Programs. Advances in Educational Technologies and Instructional Design. https://doi.org/10.4018/978-1-7998-7607-6.ch002
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.
