A Practical Teaching Mode for Colleges Supported by Artificial Intelligence
Open accessAbstract
In the era of big data, artificial intelligence (AI) has been widely applied in higher education, providing technical supports to practical teaching in colleg-es and universities. This paper mainly creates an AI-based practical teaching mode for cultural industry management major of Chongqing Three Gorges University. Firstly, an intelligent management cloud platform was established for practical teaching, drawing the merits from Massive Open Online Course (MOOC) and Self-Paced Open Course (SPOC). Meanwhile, the AI technique was adopted to realize personalized learning and provide intelligent push services. In this way, the online MOOC+SPOC platform seamlessly integrates the teaching content into specific teaching scenarios, and the offline cloud platform manages the teaching process in an intelligent manner. Under the proposed teaching mode, the teaching content could match the job compe-tence standards and the actual abilities of college students. The research re-sults provide a new mode of practical teaching that covers all dimensions and promotes personalized and collaborative learning.
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Artificial Intelligence in Education: A Review
Chen, L., Chen, P., & Lin, Z. (2020) · IEEE Access · doi:10.1109/access.2020.2988510 · Cited by 4,133 · cited 1× · see citing works
“According to the ability comparison results, enterprises can quickly and accurately find professional talents that could match the requirements of the job position, and college students can also accurately determine their professional development goals and directions, and quickly obtain the corresponding internship or…”
BackgroundA pedagogy of data and Artificial intelligence for student subjectification.
Loftus, M., & Madden, M. G. (2020) · Teaching in Higher Education · doi:10.1080/13562517.2020.1748593 · Cited by 59 · see citing works
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“For example, human-robot or human-chatbot interactions make low-achieving or low-self-esteem students feel less embarrassed and more con fi dent when facing challenges or di ffi culties (Chiu, Moorhouse, et al., 2023; Yang et al., 2020).”
Ouyang, F., Zheng, L., & Jiao, P. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-10925-9 · Cited by 831 · see citing works
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Rangel-de Lázaro, G., & Duart, J. M. (2023) · Sustainability · doi:10.3390/su15043507 · Cited by 95 · see citing works
- Authors
- Yang, C., Huan, S., & Yang, Y.
- Affiliations
- Chongqing Three Gorges University (CN)
- Venue
- International Journal of Emerging Technologies in Learning (iJET)
- Published
- 2020-09-11
- Volume
- 15
- Issue
- 17
- Pages
- 195
- ISSN
- 1863-0383 (ISSN-L)
- OpenAlex
- W3086233706
- Cited by
- 90
- References
- 2
- Citations by year
- 2026: 6 · 2025: 16 · 2024: 17 · 2023: 16 · 2022: 28 · 2021: 7
- FWCI
- 5.01
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Emerging Technologies in Learning (iJET) (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Educational Technology and Pedagogy
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Information Systems › Higher Education and Teaching Methods
- Keywords
- artificial intelligence in higher education, practical teaching mode, MOOCs, SPOC, personalized learning, cultural industry management, cooperative learning
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