The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Academic Quality Management System Audit Using Artificial Intelligence Techniques
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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
“to optimize and improve the monitoring of course performance (Bojorque & PesántezAvilés, 2020)”
From Artificial intelligence applications in Latin American higher education: a systematic review (2022) · cites this paper as Bojorque & PesántezAvilés, 2020
Citations
Cites
Kaplan, A., & Haenlein, M. (2019) · Business Horizons · doi:10.1016/j.bushor.2018.08.004 · Cited by 3,140
Brain intelligence: go beyond artificial intelligence
Lu, H., Li, Y., Chen, M., Kim, H., & Serikawa, S. (2018) · Mobile Networks and Applications · doi:10.1007/s11036-017-0932-8 · Cited by 1,153
Artificial Intelligence trends in education: a narrative overview
Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.08.233 · Cited by 956
Data Mining techniques for the detection of fraudulent financial statements
KIRKOS, E., SPATHIS, C., & MANOLOPOULOS, Y. (2007) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.02.016 · Cited by 722
Quality Managemnet and Quality Assurance Standards—Part 3
(2004) · GMP/ISO Quality Audit Manual for Healthcare Manufacturers and Their Suppliers, (Volume 2 - Regulations, Standards, and Guidelines) · doi:10.3109/9780203026656-15 · Cited by 451
Total quality management in UK higher education institutions
Kanji, G. K., Malek, A., & Tambi, B. A. (1999) · Total Quality Management · doi:10.1080/0954412998126 · Cited by 362
(2004) · Springer eBooks · doi:10.1007/978-1-4757-4305-0 · Cited by 310
The application of artificial intelligence in auditing: Looking back to the future
Omoteso, K. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.01.098 · Cited by 222
Honoring the Trust: Quality and Cost Containment in Higher Education
Massy, W. F. (2003) · Cited by 162
Quality Management in Higher Education: Towards a Better Understanding of an Emerging Field
Pratasavitskaya, H., & Stensaker, B. (2010) · Quality in Higher Education · doi:10.1080/13538321003679465 · Cited by 146
Research works printed but not linked: 2
- Fiore, M., Contò, F.: The Quality Concept, Advances in Dairy Products. Wiley, New York (2017)
- Tanweer, M., Qadri, M.M.: Quality assurance in higher education: a framework for distance education. JDER J. Distance Educ. Res. 1(1), 6–24 (2016)
Cited by
Artificial intelligence applications in Latin American higher education: a systematic review
Salas-Pilco, S. Z., & Yang, Y. (2022) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-022-00326-w · Cited by 330
Metadata
- Authors
- Bojorque, R., & Pesántez-Avilés, F.
- Affiliations
- Politecnica Salesiana University (EC)
- Corresponding author
- Bojorque, Rodolfo
- Venue
- Advances in Intelligent Systems and Computing
- Publisher
- Springer International Publishing
- Published
- 2019-06-11
- Pages
- 275-283
- ISSN
- 2194-5357 (ISSN-L)
- 2194-5365
- OpenAlex
- W2954572953
- Cited by
- 23
- References
- 14
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 8 · 2023: 3 · 2022: 6 · 2021: 1
- FWCI
- 1.39
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Advances in intelligent systems and computing (publishedVersion)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Information Systems › Educational Management and Quality
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Keywords
- quality management systems, higher education quality, academic audit, artificial intelligence in education, information retrieval, machine learning, syllabus analysis, assessment data, decision support, Latin American universities
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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Academic Quality Management System Audit Using Artificial Intelligence Techniques. https://app.cochat.ai/papers/10.1007/978-3-030-20454-9_28
- The paper
- Bojorque, R., & Pesántez-Avilés, F. (2020). Academic Quality Management System Audit Using Artificial Intelligence Techniques. Advances in Intelligent Systems and Computing. https://doi.org/10.1007/978-3-030-20454-9_28
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.
