Teaching Reform of “Telecommunication Electronic Circuits” Based on the Integration of Artificial Intelligence and Human Wisdom

Jinmei Liu; Hua Yuan; Xue Lin; Nianqiang Li

doi:doi:10.11648/j.ijecs.20251002.17

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Teaching Reform of “Telecommunication Electronic Circuits” Based on the Integration of Artificial Intelligence and Human Wisdom

Jinmei Liu^*

, Hua Yuan, Xue Lin, Nianqiang Li

Published in International Journal of Education, Culture and Society (Volume 10, Issue 2)

Received: 25 March 2025 Accepted: 21 April 2025 Published: 29 April 2025

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Abstract

As an important compulsory course for the students who major in telecommunications engineering, the Telecommunication Electronic Circuits (High-Frequency Electronic Circuits) course confronts two major challenges: high knowledge complexity and limited resources for practical engineering training. In order to overcome the challenges and promote teaching effects, we utilize the scheme of integrating artificial intelligence (AI) technology with human wisdom in teaching the Telecommunication Electronic Circuits course. The scheme combines the advantages of both AI technology and human wisdom. AI technology can take the responsibilities in records of learning process, analyses of learning data, knowledge delivery of adaptive content based on personalized recommendations, automatic assessment and feedback. Teachers can pay more attention to critical thinking cultivation, engineering experience transmission, values shaping and professional ethics cultivation. In pre-class phase, with AI technology, some preparatory short videos and related questions are pushed to learners for personalized learning. Then, teachers preview the response data of learners and the AI-generated feedback to adjust lesson focus accordingly. In the phase of in-class teaching, teachers explain core principles and those misunderstanding according to the response data generated in the pre-class phase. Circuit simulations are also shown and discussed. During the class, discussions on theoretical analyses, circuit simulation results and actual circuits’ performance are organized. In the process, teachers not only convey engineering thought and experience, but also cultivate innovation thinking and proper ethical values. In post-class phase, AI automatically grades homework of learners, offers real-time feedback, and creates individualized learning profiles. Then, teachers design research projects with different difficulties for learners’ further practical study based on the individualized learning profiles generated by AI. Such a personalized learning process is beneficial to foster the learning interests of each learner and conduct them to achieve more. Besides, AI can help teachers find those who might need assistance in learning, so that teachers can implement early interventions to mitigate academic failure risks. By adopting the scheme, we have improved the test pass rate of lower-performing learners by about 18% in 2024 compared to 2023. The paper then describes the challenges of the scheme and give some comments on the teachers’ role transformation, ethical boundaries, and hybrid assessment systems. The limitation of AI technology nowadays is also discussed.

Published in	International Journal of Education, Culture and Society (Volume 10, Issue 2)
DOI	10.11648/j.ijecs.20251002.17
Page(s)	120-125
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Teaching Reform, Telecommunication Electronic Circuits, Artificial Intelligence, Human Wisdom

References

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[13]	Zhang, S., Lu, X., Liao, Y., et al. Exploration and Practice of Communication Electronic Circuit "Five-in-One" Progressive Teaching Innovation System under the Background of Engineering Education Professional Certification, China Modern Educational Equipment. 2024, (23), 67-70. https://link.cnki.net/doi/10.13492/j.cnki.cmee.2024.23.050
[14]	Huang, L., Zhang J., Zhou, N. et al. Application of Artificial Intelligence Technology in Immersion Teaching Reform of Electronic Information Courses, Creative Education Studies. 2024, 12(10), 400-405. https://doi.org/10.12677/ces.2024.1210725
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APA Style

Liu, J., Yuan, H., Lin, X., Li, N. (2025). Teaching Reform of “Telecommunication Electronic Circuits” Based on the Integration of Artificial Intelligence and Human Wisdom. International Journal of Education, Culture and Society, 10(2), 120-125. https://doi.org/10.11648/j.ijecs.20251002.17

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ACS Style

Liu, J.; Yuan, H.; Lin, X.; Li, N. Teaching Reform of “Telecommunication Electronic Circuits” Based on the Integration of Artificial Intelligence and Human Wisdom. Int. J. Educ. Cult. Soc. 2025, 10(2), 120-125. doi: 10.11648/j.ijecs.20251002.17

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AMA Style

Liu J, Yuan H, Lin X, Li N. Teaching Reform of “Telecommunication Electronic Circuits” Based on the Integration of Artificial Intelligence and Human Wisdom. Int J Educ Cult Soc. 2025;10(2):120-125. doi: 10.11648/j.ijecs.20251002.17

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@article{10.11648/j.ijecs.20251002.17,
  author = {Jinmei Liu and Hua Yuan and Xue Lin and Nianqiang Li},
  title = {Teaching Reform of “Telecommunication Electronic Circuits” Based on the Integration of Artificial Intelligence and Human Wisdom
},
  journal = {International Journal of Education, Culture and Society},
  volume = {10},
  number = {2},
  pages = {120-125},
  doi = {10.11648/j.ijecs.20251002.17},
  url = {https://doi.org/10.11648/j.ijecs.20251002.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijecs.20251002.17},
  abstract = {As an important compulsory course for the students who major in telecommunications engineering, the Telecommunication Electronic Circuits (High-Frequency Electronic Circuits) course confronts two major challenges: high knowledge complexity and limited resources for practical engineering training. In order to overcome the challenges and promote teaching effects, we utilize the scheme of integrating artificial intelligence (AI) technology with human wisdom in teaching the Telecommunication Electronic Circuits course. The scheme combines the advantages of both AI technology and human wisdom. AI technology can take the responsibilities in records of learning process, analyses of learning data, knowledge delivery of adaptive content based on personalized recommendations, automatic assessment and feedback. Teachers can pay more attention to critical thinking cultivation, engineering experience transmission, values shaping and professional ethics cultivation. In pre-class phase, with AI technology, some preparatory short videos and related questions are pushed to learners for personalized learning. Then, teachers preview the response data of learners and the AI-generated feedback to adjust lesson focus accordingly. In the phase of in-class teaching, teachers explain core principles and those misunderstanding according to the response data generated in the pre-class phase. Circuit simulations are also shown and discussed. During the class, discussions on theoretical analyses, circuit simulation results and actual circuits’ performance are organized. In the process, teachers not only convey engineering thought and experience, but also cultivate innovation thinking and proper ethical values. In post-class phase, AI automatically grades homework of learners, offers real-time feedback, and creates individualized learning profiles. Then, teachers design research projects with different difficulties for learners’ further practical study based on the individualized learning profiles generated by AI. Such a personalized learning process is beneficial to foster the learning interests of each learner and conduct them to achieve more. Besides, AI can help teachers find those who might need assistance in learning, so that teachers can implement early interventions to mitigate academic failure risks. By adopting the scheme, we have improved the test pass rate of lower-performing learners by about 18% in 2024 compared to 2023. The paper then describes the challenges of the scheme and give some comments on the teachers’ role transformation, ethical boundaries, and hybrid assessment systems. The limitation of AI technology nowadays is also discussed.
},
 year = {2025}
}

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TY  - JOUR
T1  - Teaching Reform of “Telecommunication Electronic Circuits” Based on the Integration of Artificial Intelligence and Human Wisdom

AU  - Jinmei Liu
AU  - Hua Yuan
AU  - Xue Lin
AU  - Nianqiang Li
Y1  - 2025/04/29
PY  - 2025
N1  - https://doi.org/10.11648/j.ijecs.20251002.17
DO  - 10.11648/j.ijecs.20251002.17
T2  - International Journal of Education, Culture and Society
JF  - International Journal of Education, Culture and Society
JO  - International Journal of Education, Culture and Society
SP  - 120
EP  - 125
PB  - Science Publishing Group
SN  - 2575-3363
UR  - https://doi.org/10.11648/j.ijecs.20251002.17
AB  - As an important compulsory course for the students who major in telecommunications engineering, the Telecommunication Electronic Circuits (High-Frequency Electronic Circuits) course confronts two major challenges: high knowledge complexity and limited resources for practical engineering training. In order to overcome the challenges and promote teaching effects, we utilize the scheme of integrating artificial intelligence (AI) technology with human wisdom in teaching the Telecommunication Electronic Circuits course. The scheme combines the advantages of both AI technology and human wisdom. AI technology can take the responsibilities in records of learning process, analyses of learning data, knowledge delivery of adaptive content based on personalized recommendations, automatic assessment and feedback. Teachers can pay more attention to critical thinking cultivation, engineering experience transmission, values shaping and professional ethics cultivation. In pre-class phase, with AI technology, some preparatory short videos and related questions are pushed to learners for personalized learning. Then, teachers preview the response data of learners and the AI-generated feedback to adjust lesson focus accordingly. In the phase of in-class teaching, teachers explain core principles and those misunderstanding according to the response data generated in the pre-class phase. Circuit simulations are also shown and discussed. During the class, discussions on theoretical analyses, circuit simulation results and actual circuits’ performance are organized. In the process, teachers not only convey engineering thought and experience, but also cultivate innovation thinking and proper ethical values. In post-class phase, AI automatically grades homework of learners, offers real-time feedback, and creates individualized learning profiles. Then, teachers design research projects with different difficulties for learners’ further practical study based on the individualized learning profiles generated by AI. Such a personalized learning process is beneficial to foster the learning interests of each learner and conduct them to achieve more. Besides, AI can help teachers find those who might need assistance in learning, so that teachers can implement early interventions to mitigate academic failure risks. By adopting the scheme, we have improved the test pass rate of lower-performing learners by about 18% in 2024 compared to 2023. The paper then describes the challenges of the scheme and give some comments on the teachers’ role transformation, ethical boundaries, and hybrid assessment systems. The limitation of AI technology nowadays is also discussed.

VL  - 10
IS  - 2
ER  -

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Author Information

Jinmei Liu

School of Information Science and Engineering, University of Jinan, Jinan, China; Shandong Key Laboratory of Ubiquitous Intelligent Computing, University of Jinan, Jinan, China

Contact Email

http://orcid.org/0009-0004-5412-4014
Hua Yuan

School of Information Science and Engineering, University of Jinan, Jinan, China; Shandong Key Laboratory of Ubiquitous Intelligent Computing, University of Jinan, Jinan, China
Xue Lin

School of Information Science and Engineering, University of Jinan, Jinan, China; Shandong Key Laboratory of Ubiquitous Intelligent Computing, University of Jinan, Jinan, China
Nianqiang Li

School of Information Science and Engineering, University of Jinan, Jinan, China; Shandong Key Laboratory of Ubiquitous Intelligent Computing, University of Jinan, Jinan, China

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Plain Text BibTeX RIS

APA Style

Liu, J., Yuan, H., Lin, X., Li, N. (2025). Teaching Reform of “Telecommunication Electronic Circuits” Based on the Integration of Artificial Intelligence and Human Wisdom. International Journal of Education, Culture and Society, 10(2), 120-125. https://doi.org/10.11648/j.ijecs.20251002.17

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ACS Style

Liu, J.; Yuan, H.; Lin, X.; Li, N. Teaching Reform of “Telecommunication Electronic Circuits” Based on the Integration of Artificial Intelligence and Human Wisdom. Int. J. Educ. Cult. Soc. 2025, 10(2), 120-125. doi: 10.11648/j.ijecs.20251002.17

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AMA Style

Liu J, Yuan H, Lin X, Li N. Teaching Reform of “Telecommunication Electronic Circuits” Based on the Integration of Artificial Intelligence and Human Wisdom. Int J Educ Cult Soc. 2025;10(2):120-125. doi: 10.11648/j.ijecs.20251002.17

Copy | Download

@article{10.11648/j.ijecs.20251002.17,
  author = {Jinmei Liu and Hua Yuan and Xue Lin and Nianqiang Li},
  title = {Teaching Reform of “Telecommunication Electronic Circuits” Based on the Integration of Artificial Intelligence and Human Wisdom
},
  journal = {International Journal of Education, Culture and Society},
  volume = {10},
  number = {2},
  pages = {120-125},
  doi = {10.11648/j.ijecs.20251002.17},
  url = {https://doi.org/10.11648/j.ijecs.20251002.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijecs.20251002.17},
  abstract = {As an important compulsory course for the students who major in telecommunications engineering, the Telecommunication Electronic Circuits (High-Frequency Electronic Circuits) course confronts two major challenges: high knowledge complexity and limited resources for practical engineering training. In order to overcome the challenges and promote teaching effects, we utilize the scheme of integrating artificial intelligence (AI) technology with human wisdom in teaching the Telecommunication Electronic Circuits course. The scheme combines the advantages of both AI technology and human wisdom. AI technology can take the responsibilities in records of learning process, analyses of learning data, knowledge delivery of adaptive content based on personalized recommendations, automatic assessment and feedback. Teachers can pay more attention to critical thinking cultivation, engineering experience transmission, values shaping and professional ethics cultivation. In pre-class phase, with AI technology, some preparatory short videos and related questions are pushed to learners for personalized learning. Then, teachers preview the response data of learners and the AI-generated feedback to adjust lesson focus accordingly. In the phase of in-class teaching, teachers explain core principles and those misunderstanding according to the response data generated in the pre-class phase. Circuit simulations are also shown and discussed. During the class, discussions on theoretical analyses, circuit simulation results and actual circuits’ performance are organized. In the process, teachers not only convey engineering thought and experience, but also cultivate innovation thinking and proper ethical values. In post-class phase, AI automatically grades homework of learners, offers real-time feedback, and creates individualized learning profiles. Then, teachers design research projects with different difficulties for learners’ further practical study based on the individualized learning profiles generated by AI. Such a personalized learning process is beneficial to foster the learning interests of each learner and conduct them to achieve more. Besides, AI can help teachers find those who might need assistance in learning, so that teachers can implement early interventions to mitigate academic failure risks. By adopting the scheme, we have improved the test pass rate of lower-performing learners by about 18% in 2024 compared to 2023. The paper then describes the challenges of the scheme and give some comments on the teachers’ role transformation, ethical boundaries, and hybrid assessment systems. The limitation of AI technology nowadays is also discussed.
},
 year = {2025}
}

Copy | Download

TY  - JOUR
T1  - Teaching Reform of “Telecommunication Electronic Circuits” Based on the Integration of Artificial Intelligence and Human Wisdom

AU  - Jinmei Liu
AU  - Hua Yuan
AU  - Xue Lin
AU  - Nianqiang Li
Y1  - 2025/04/29
PY  - 2025
N1  - https://doi.org/10.11648/j.ijecs.20251002.17
DO  - 10.11648/j.ijecs.20251002.17
T2  - International Journal of Education, Culture and Society
JF  - International Journal of Education, Culture and Society
JO  - International Journal of Education, Culture and Society
SP  - 120
EP  - 125
PB  - Science Publishing Group
SN  - 2575-3363
UR  - https://doi.org/10.11648/j.ijecs.20251002.17
AB  - As an important compulsory course for the students who major in telecommunications engineering, the Telecommunication Electronic Circuits (High-Frequency Electronic Circuits) course confronts two major challenges: high knowledge complexity and limited resources for practical engineering training. In order to overcome the challenges and promote teaching effects, we utilize the scheme of integrating artificial intelligence (AI) technology with human wisdom in teaching the Telecommunication Electronic Circuits course. The scheme combines the advantages of both AI technology and human wisdom. AI technology can take the responsibilities in records of learning process, analyses of learning data, knowledge delivery of adaptive content based on personalized recommendations, automatic assessment and feedback. Teachers can pay more attention to critical thinking cultivation, engineering experience transmission, values shaping and professional ethics cultivation. In pre-class phase, with AI technology, some preparatory short videos and related questions are pushed to learners for personalized learning. Then, teachers preview the response data of learners and the AI-generated feedback to adjust lesson focus accordingly. In the phase of in-class teaching, teachers explain core principles and those misunderstanding according to the response data generated in the pre-class phase. Circuit simulations are also shown and discussed. During the class, discussions on theoretical analyses, circuit simulation results and actual circuits’ performance are organized. In the process, teachers not only convey engineering thought and experience, but also cultivate innovation thinking and proper ethical values. In post-class phase, AI automatically grades homework of learners, offers real-time feedback, and creates individualized learning profiles. Then, teachers design research projects with different difficulties for learners’ further practical study based on the individualized learning profiles generated by AI. Such a personalized learning process is beneficial to foster the learning interests of each learner and conduct them to achieve more. Besides, AI can help teachers find those who might need assistance in learning, so that teachers can implement early interventions to mitigate academic failure risks. By adopting the scheme, we have improved the test pass rate of lower-performing learners by about 18% in 2024 compared to 2023. The paper then describes the challenges of the scheme and give some comments on the teachers’ role transformation, ethical boundaries, and hybrid assessment systems. The limitation of AI technology nowadays is also discussed.

VL  - 10
IS  - 2
ER  -

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