The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
The relationship of e-Learner’s self-regulatory efficacy and perception of e-Learning environmental quality
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
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
(2003) · Journal of Management Information Systems · doi:10.1080/07421222.2003.11045748 · Cited by 11,791
Information Systems Success: The Quest for the Dependent Variable
DeLone, W. H., & McLean, E. R. (1992) · Information Systems Research · doi:10.1287/isre.3.1.60 · Cited by 10,697
Modern Methods for Business Research
(1998) · doi:10.4324/9781410604385 · Cited by 6,534
Oliver, R. L., & Swan, J. E. (1989) · Journal of Marketing · doi:10.1177/002224298905300202 · Cited by 2,084
Academic self-efficacy and first year college student performance and adjustment.
Chemers, M. M., Hu, L.-T., & Garcia, B. F. (2001) · Journal of Educational Psychology · doi:10.1037/0022-0663.93.1.55 · Cited by 2,031 · cited 1×
“…three items revised for academic SRE measurements among academic self-efficacy suggested by Kim and Park (2001), three items for academic performance, that is, the expected record suggested by Chemers, Hu, and Garcia (2001), and finally four items for learning satisfaction suggested by Wang (2003).”
BackgroundAIMQ: a methodology for information quality assessment
Lee, Y. W., Strong, D. M., Kahn, B. K., & Wang, R. Y. (2002) · Information & Management · doi:10.1016/s0378-7206(02)00043-5 · Cited by 1,611
Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis
Rai, A., Lang, S. S., & Welker, R. B. (2002) · Information Systems Research · doi:10.1287/isre.13.1.50.96 · Cited by 1,611
The role of cognitive engagement in classroom learning and motivation
Corno, L., & Mandinach, E. B. (1983) · Educational Psychologist · doi:10.1080/00461528309529266 · Cited by 853
Cited by
Evaluating E-learning systems success: An empirical study
Al-Fraihat, D., Joy, M., Masa'deh, R., & Sinclair, J. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2019.08.004 · Cited by 1,350
Ubiquitous learning: Determinants impacting learners’ satisfaction and performance with smartphones
Jung, H.-J. (2014) · Language Learning & Technology · doi:10.64152/10125/44386 · Cited by 62
Metadata
- Authors
- Lee, J.-K., & Lee, W.-K.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2008-01
- Volume
- 24
- Issue
- 1
- Pages
- 32-47
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2112774121
- Cited by
- 281
- References
- 9
- FWCI
- 43.51
- 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
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.
