Assessment of the digital competencies of university instructors through use of the machine learning method
Author:
Funder
Ministry of Science and Technology, Taiwan
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s43545-023-00617-7.pdf
Reference56 articles.
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2. Al-Rimy BAS, Maarof MA, Alazab M, Alsolami F, Shaid SZM, Ghaleb FA, Al-Hadhrami T, Ali AM (2020) A pseudo feedback-based annotated TF-IDF technique for dynamic crypto-ransomware pre-encryption boundary delineation and features extraction. IEEE Access 8:140586–140598. https://doi.org/10.1109/ACCESS.2020.3012674
3. Alsmadi I, Hoon GK (2019) Term weighting scheme for short-text classification: Twitter corpuses. Neural Comput Appl 31(8):3819–3831. https://doi.org/10.1007/s00521-017-3298-8
4. Antón-Sancho Á, Vergara D, Fernández-Arias P (2021) Self-assessment of soft skills of university teachers from countries with a low level of digital competence. Electronics 10(20):2532
5. Bensen H, Silman F (2012) Three preparatory schools’ syllabus designs in the Turkish republic of Northern Cyprus. Eurasian J Educ Res. https://eric.ed.gov/?id=EJ1057357
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