IoT-Enhanced Bionic Hybrid AI for Smart Education in Ideological and Political Courses
In today's world, science and technology are our society's fundamental productive forces, while transformation in all forms, notably in education and employment, cannot be distinguished from science and technology. Many technical college graduates may lack solid work habits as a result of poor classroom comprehension and failure to learn views. To solve these issues, a model for theoretical and political classes in Chinese Higher Vocational Schools is proposed based on Artificial Intelligence (AI) algorithms. Additionally, in the context of information and communication technologies, the incorporation of artificial intelligence (AI) and the Internet of Things (IoT) into the political education system is noteworthy. As a result, the Internet of Things (IoT)-assisted artificial intelligence (AI) smart educational system plays an important role in this study, in which the Bionic Hybridized Artificial Intelligence (BHAI) algorithm is established and developed for ideological and political education. Concerned research goals employing BHAI include (1) Thinking about the usability and efficacy of IoT assisted learning methodologies on political education platform for information transfer using smart frameworks. (2) Investigate the impact of AI technology on political education through interactive teaching methods. (3) Maintaining a strong engagement with pupils based on political studies and probabilistic concepts. This research helps educators comprehend how positive relationships between teachers and students would enhance the learning process while utilizing AI for political and ideological education in smart education.
Authors
- Jamal K. Abbas (ORCID: https://orcid.org/0000-0002-5102-9538)
- Hajar Kadhim (ORCID: https://orcid.org/0000-0003-3939-9306)
- Ali Ali Saber Mohammed
- Hassan Safi
- Azad Salh Nader
Institutions
- University of Kirkuk (IQ)
- Al-Nisour University College (IQ)
Publication Details
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1109/icercs63125.2024.10895858
- Citations
- 2
- Primary Topic
- Educational Innovations and Challenges
- Type
- article
- Field-Weighted Citation Impact
- 1.56