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.

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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
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article

IoT-Enhanced Bionic Hybrid AI for Smart Education in Ideological and Political Courses

Jamal K. Abbas, Hajar Kadhim, Ali Ali Saber Mohammed, Hassan Safi et al.
2 citations
Educational Innovations and Challenges
1.56
article

IoT-Enhanced Bionic Hybrid AI for Smart Education in Ideological and Political Courses

Jamal K. Abbas, Hajar Kadhim, Ali Ali Saber Mohammed, Hassan Safi, Azad Salh Nader
article en
2 citations

Abstract

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.

University of Kirkuk (IQ), Al-Nisour University College (IQ)
Openalex Percentile: Top 11%
Educational Innovations and Challenges
1.56
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IoT-Enhanced Bionic Hybrid AI for Smart Education in Ideological and Political Courses — Jamal K. Abbas, Hajar Kadhim, et al. · (2024) | TGRS Research Map | TGRS