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Artificial intelligence in educational technology and transformative approaches to English language using fuzzy
Jingdan Liu1,2, Xujie Bao3,4, Liji Chen1
1School of General Education, Hunan University of Information Technology, Changsha, 410000, Hunan, China.
Artificial intelligence (AI) enhances education through personalized learning. New methods like CRITIC-TOPSIS objectively rank AI approaches for improved pedagogy, demonstrating superior decision-making in educational technology.
Area of Science:
- Educational Technology
- Artificial Intelligence
- Decision Science
Background:
- Artificial intelligence (AI) is revolutionizing educational technology with personalized and adaptive learning.
- Machine learning and natural language processing are key AI components in education.
Purpose of the Study:
- To present the potential of the criteria importance through inter-criteria correlation (ICCR) method for objective weight determination.
- To investigate the ranking of preferences using the tool for order preference by similarity to the ideal solution (TOPSIS) within a q-rung orthopair fuzzy framework.
- To evaluate an effective AI approach for improving English language and psychology pedagogy.
Main Methods:
- Criteria Importance Through Inter-criteria Correlation (ICIR) for objective weighting.
- Tool for Order Preference by Similarity to the Ideal Solution (TOPSIS) under a q-rung orthopair fuzzy framework.
- CRITIC-TOPSIS method for optimization and comparative analysis.
Main Results:
- A numerical example validated the effectiveness of the proposed AI approach in pedagogy.
- The CRITIC-TOPSIS method demonstrated superiority and compatibility with existing optimization techniques.
- The study provides a robust framework for decision-making in AI-driven educational contexts.
Conclusions:
- The proposed CRITIC-TOPSIS method offers a powerful tool for evaluating and optimizing AI applications in education.
- The decision-making methodologies can be extended to diverse real-life applications beyond education.
- Future research can explore further refinements and applications of these advanced decision-making techniques.
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