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Human intelligence-based metaverse for co-learning of students and smart machines
Chang-Shing Lee1, Mei-Hui Wang1, Marek Reformat2,3
1Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan.
Journal of Ambient Intelligence and Humanized Computing
|May 25, 2023
Summary
This study introduces a Human Intelligence-based Computational and Artificial Intelligence Fuzzy Markup Language Metaverse for co-learning. The educational environment enhances student motivation and performance in subjects like Software Engineering and English.
Area of Science:
- Educational Technology
- Artificial Intelligence in Education
- Human-Computer Interaction
Background:
- Traditional educational models often lack personalized learning experiences.
- Integrating human and machine intelligence can create novel learning paradigms.
- The Heart Sutra's principles offer a framework for wisdom-based cognitive intelligence.
Purpose of the Study:
- To propose a Human Intelligence (HI)-based Computational Intelligence (CI) and Artificial Intelligence (AI) Fuzzy Markup Language (CI&AI-FML) Metaverse for co-learning.
- To leverage ancient wisdom principles for developing cognitive intelligence in an educational setting.
- To evaluate the effectiveness of this Metaverse in improving student motivation and learning outcomes.
Main Methods:
- Development of a CI&AI-FML Metaverse with four stages: data preparation, preprocessing, analysis, and evaluation.
- Creation of a learning dictionary with fuzzy concept sets by domain experts.
- Utilizing Natural Language Processing (NLP) tools like Chinese Knowledge Information Processing (CKIP) for student text analysis (speech tagging, word sense disambiguation, named entity recognition).
- Quantitative and qualitative data analysis, including progress metrics evaluation.
Main Results:
- The HI-based CI&AI-FML Metaverse demonstrated a positive impact on student motivation.
- Experimental results showed significant improvements in student performance.
- The system proved effective in co-learning scenarios for Software Engineering and English language acquisition.
Conclusions:
- The proposed HI-based CI&AI-FML Metaverse is a viable educational environment for synergistic student-machine co-learning.
- This approach effectively integrates human intelligence with AI and CI principles for enhanced learning.
- The Metaverse fosters increased student engagement and academic achievement.
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