The DOI matches its Crossref record.
The learning value of computer‐based instruction of early reading skills
Abstract
Abstract This study examined the unique contribution of computer‐based instruction when compared with more conventional modes of instruction (i.e. teacher instruction with textbooks) to early reading skills acquisition, as well as the effects of specific features of computer technology on early reading skills performance. Forty‐six pre‐school children (aged 5–6), at high risk for learning disabilities, participated in the study. They were assigned to one of three study groups that received different treatments. Three dependent variables were defined, i.e. children's phonological awareness, word recognition and letter recognition skills measured prior and after the treatment. Results clearly indicated that children at high risk who received the reading intervention program with computer materials significantly improved their phonological awareness, word recognition, and letter naming skills relative to their peers who received a reading intervention program with only printed materials and those who received no formal reading intervention program. The results are discussed in detail, with reference to the features of the computer‐based materials that contributed to the acquisition of critical early reading skills.
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
Istenic Starcic, A., & Bagon, S. (2014) · British Journal of Educational Technology · doi:10.1111/bjet.12086 · Cited by 110
Les outils numériques d’aide à l’apprentissage de la lecture
Lassault, J., & Ziegler, J. C. (2018) · Langue française · doi:10.3917/lf.199.0111 · Cited by 26
Metadata
- Authors
- Mioduser, D., Tur‐Kaspa, H., & Leitner, I.
- Venue
- Journal of Computer Assisted Learning
- Publisher
- Wiley
- Published
- 2000-03
- Volume
- 16
- Issue
- 1
- Pages
- 54-63
- ISSN
- 0266-4909 (ISSN-L)
- 1365-2729
- OpenAlex
- W2150889151
- Cited by
- 170
- References
- 0
- FWCI
- 8.29
- Type
- journal article
- 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: The learning value of computer‐based instruction of early reading skills. https://app.cochat.ai/papers/10.1046/j.1365-2729.2000.00115.x
- The paper
- Mioduser, D., Tur‐Kaspa, H., & Leitner, I. (2000). The learning value of computer‐based instruction of early reading skills. Journal of Computer Assisted Learning. https://doi.org/10.1046/j.1365-2729.2000.00115.x
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.