[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content

Advertisement

Springer Nature Link
Log in

A deep learning model for innovative evaluation of ideological and political learning

  • Regular Paper
  • Published:
Progress in Artificial Intelligence Aims and scope Submit manuscript

Abstract

College students’ creative ideological and political curriculum should combine current development in education, adhere to associated norms and rules, and adapt educational principles and procedures to ensure balanced success. IPE can produce significant results when using several methods to make ideological and political education material. Effective education must be evaluated with the most efficient and emerging technology. Therefore, this paper presents a deep learning model for teaching quality analysis (DLM-TQA). The proposed model implements a teaching error feedback mechanism associated with knowledge sources and audio and video source data from the classroom produced in the teaching process. The model produces reports of teaching irregularities by correlating subjective data with empirical data. The research leads to strengthening teacher instructional methods, learning approaches, and teacher management modes. It has valuable references for developing teacher education frameworks, creative teacher preparation models, and excellent teachers’ training plans. The experimental results based on student evaluation in political education are Students Political Evaluation Ratio is 87.66%, Students Virtual Learning Performance ratio is 88.77%, Innovative Thinking Percentage ratio is 84.5%, Reducing risk in political teaching Ratio is 82.26%, and Students efficiency ratio is 93.80%.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Han Z, Xu A. Ecological evolution path of smart education platform based on deep learning and image detection. Microprocessors and Microsystems. 2021 Feb 1;80:103343.

  2. Golpayegani, S. A. H., Esmaeili, L., Mardani, S., &Mutallebi, S. M. (2019). A survey of trust in social commerce. E-Systems for the 21st Century: Concept, Developments, and Applications-Two Volume Set, 1.

  3. .Masuku1 MM, Jili NN, Sabela PT. Assessment as A Pedagogy and Measuring Tool in Promoting Deep Learning In Institutions of Higher Learning. International Journal of Higher Education. 2021;10(2).

  4. Abiad, M., Kadry, S., Ionescu, S., Niculescu, A.: Customers’ Perception of Telecommunication Services. FAIMA Business & Management Journal 7(2), 51–62 (2019)

    Google Scholar 

  5. Koszalka TA, Pavlov Y, Wu Y. The informed use of pre-work activities in collaborative asynchronous online discussions: The exploration of idea exchange, content focus, and deep learning. Computers & Education. 2021 Feb;161:104067.

  6. Song, Z., Sun, Y., Wan, J., Huang, L., Xu, Y., Hsu, C.H.: Exploring robustness management of social internet of things for customization manufacturing. Futur. Gener. Comput. Syst. 92, 846–856 (2019)

    Article  Google Scholar 

  7. Mubarak, A.A., Cao, H., Ahmed, S.A.: Predictive learning analytics using deep learning model in MOOCs’ courses videos. Educ. Inf. Technol. 26(1), 371–392 (2021 Jan)

    Article  Google Scholar 

  8. Xu, Q., Chang, V., Hsu, C.H.: Event study and principal component analysis based on sentiment analysis–A combined methodology to study the stock market with an empirical study. Inf. Syst. Front. 22(5), 1021–1037 (2020)

    Article  Google Scholar 

  9. Hawamdeh M, Adamu I. Problem-Based Learning (PBL): A Deep Approach to Learning in the 21st Century. In Improving Scientific Communication for Lifelong Learners 2021 (pp. 38–56).IGI Global.

  10. Kaur, M., Kaur, G., Sharma, P.K., Jolfaei, A., Singh, D.: Binary cuckoo search metaheuristic-based supercomputing framework for human behavior analysis in smart home. J. Supercomput. 76(4), 2479–2502 (2020)

    Article  Google Scholar 

  11. Panadero, E., Alonso-Tapia, J., García-Pérez, D., Fraile, J., Galán, J.M., Pardo, R.: Deep learning self-regulation strategies: Validation of a situational model and its questionnaire. Revista de Psicodidáctica (English ed.) 26(1), 10–19 (2021 Jan 1)

    Article  Google Scholar 

  12. Xu, X., Chen, Y., Zhang, J., Chen, Y., Anandhan, P., &Manickam, A. (2020). A novel approach for scene classification from remote sensing images using deep learning methods. European Journal of Remote Sensing, 1–13.

  13. Lu, L., Meng, X., Mao, Z., Karniadakis, G.E.: Deep XDE: A deep learning library for solving differential equations. SIAM Rev. 63(1), 208–228 (2021)

    Article  MathSciNet  MATH  Google Scholar 

  14. Al-Turjman, F., &Salama, R. (2020). Security in social networks.Security in IoT Social Networks.

  15. Vora DR, Iyer KR. Deep Learning in Engineering Education: Implementing a Deep Learning Approach for the Performance Prediction in Educational Information Systems. In Deep Learning Applications and Intelligent Decision Making in Engineering 2021 (pp. 222–255).IGI Global.

  16. Sathishkumar, V. E., Agrawal, P., Park, J., & Cho, Y. (2020, April). Bike Sharing Demand Prediction Using Multiheaded Convolution Neural Networks.In BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY (Vol. 126, pp. 264–265). 111 RIVER ST, HOBOKEN 07030–5774, NJ USA: WILEY.

  17. Xiao H. Evaluation System of Ideological and Political Education Innovation Ability Based on Computer Technology. In Journal of Physics: Conference Series 2021 Feb 1 (Vol. 1744, No. 3, p. 032082). IOP Publishing.

  18. Haque, T.S., Chakraborty, A., Mondal, S.P., Alam, S.: Approach to solve multi-criteria group decision-making problems by exponential operational law in generalized spherical fuzzy environment. CAAI Transactions on Intelligence Technology 5(2), 106–114 (2020). https://doi.org/10.1049/trit.2019.0078

    Article  Google Scholar 

  19. Chen X, Zhao L. “Points” and “Line” of Ideological and Political Education in Student-Centered Programming Courses. In2020 3rd International Seminar on Education Research and Social Science (ISERSS 2020) 2021 Jan 20 (pp. 27–31). Atlantis Press.

  20. Manogaran, G., Rawal, B.S., Saravanan, V., Kumar, P.M., Martínez, O.S., Crespo, R.G., Krishnamoorthy, S.: Blockchain based integrated security measure for reliable service delegation in 6G communication environment. Comput. Commun. 161, 248–256 (2020)

    Article  Google Scholar 

  21. Munroe K. School Wellness Action Research: from an Arts-Based Transformative Activist Stance.

  22. Reichert, F.: Collective Protest and Expressive Action Among University Students in Hong Kong: Associations Between Offline and Online Forms of Political Participation. Frontiers in Political Science. 2, 1–9 (2021)

    Article  Google Scholar 

  23. Parcerisa, L., Fontdevila, C., Verger, A.: Understanding the PISA influence on national education policies: a focus on policy transfer mechanisms1. International Perspectives on School Settings, Education Policy and Digital Strategies: A Transatlantic Discourse in Education Research. 15, 182 (2021 Feb)

    Google Scholar 

  24. Duchatelet D, Spooren P, Bursens P, Gijbels D, Donche V. Explaining self-efficacy development in an authentic higher education learning context of role-play simulations. Studies in Educational Evaluation. 2021 Mar 1;68:100940.

  25. Yu B. A Brief Analysis of the Opportunities and Challenges Facing the Innovative Development of Ideological and Political Education in Universities under the Background of “Internet+”.InE3S Web of Conferences 2021 (Vol. 236, p. 04011).EDP Sciences.

  26. Dai R. Research on the Innovation and Development of Ideological and Political Education in Colleges and Universities Based on Computer Technology. In Journal of Physics: Conference Series 2021 Feb 1 (Vol. 1744, No. 3, p. 032213). IOP Publishing.

  27. Feng D, Qi B, Liu Y, Wang X. Exploration on the Reform of Ideological and Political Teaching of Environmental Chemistry Course. Journal of Contemporary Educational Research. 2021 Feb 4;5(1).

  28. ZhenyuanLv et al. (2019) Design and Implementation of Ideological and Political Education Evaluation System. Journal of Physics: Conference Series, 1176, 042067.

  29. Filippaios, F. et al. (2019). Political governance, civil liberties, and human capital: Evaluating their effect on foreign direct investment in emerging and developing economies. Journal of International Business Studies.

  30. .Cowen, N. (2019). For whom does “what works” work? The political economy of evidence-based education. Educational Research and Evaluation, 1–18.

  31. .Zhang, J.-L. (2020). The Application of Human Comprehensive Development Theory and Deep Learning in Innovation Education in Higher Education. Frontiers in Psychology, 11.

  32. Cox, J. (2020). The higher education environment driving academic library strategy: A political, economic, social and technological (PEST) analysis. The Journal of Academic Librarianship, 102219.

  33. Natalie Grobshäuser (2020) et al Does political participation in adolescence promote knowledge acquisition and active citizenship?Education, Citizenship and Social Justice 1–15 © The Author(s) 2020 Article reuse guidelines: sagepub.com/journals-permissions

  34. Amsler, S.S.: From “therapeutic” to political education: the centrality of affective sensibility in critical pedagogy. Critical Studies in Education 52(1), 47–63 (2019)

    Article  Google Scholar 

  35. O’Dowd, R. (2019). A transnational model of virtual exchange for global citizenship education. Language Teaching, 1–14.

  36. Xin Song et al. (2019) et al The Teaching Mode Exploration of the Innovative Practice for Agriculture Machinery Specialty from the Perspective of Ideological and Political Education in Professional Courses Advances in Social Science, Education and Humanities Research, volume 336

  37. Sumin, S.et al. (2019). An Exploration of Innovation of College Ideological and Political Education in New Era.SHS Web of Conferences, 4, 02008.

  38. Verger, A. et al. (2019). Reforming governance through policy instruments: how and to what extent standards, tests and accountability in education spread worldwide. Discourse: Studies in the Cultural Politics of Education, 1–23.

  39. Deimel, D. et al. (2019). How do schools affect inequalities in political participation: compensation of social disadvantage or provision of differential access? Educational Psychology, 1–21

  40. https://www.kaggle.com/theworldbank/world-bank-intl-education

  41. https://www.kaggle.com/aljarah/xAPI-Edu-Data

Download references

Author information

Authors and Affiliations

  1. Shaanxi Open University, Xi’an, 710068, Shaanxi, China

    Baojing Zhang

  2. SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, 603203, India

    Vinothraj Velmayil

  3. School of Computing, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr, Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, 600 062, India

    V. Sivakumar

Authors
  1. Baojing Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vinothraj Velmayil
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. V. Sivakumar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Baojing Zhang.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, B., Velmayil, V. & Sivakumar, V. A deep learning model for innovative evaluation of ideological and political learning. Prog Artif Intell 12, 119–131 (2023). https://doi.org/10.1007/s13748-021-00253-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13748-021-00253-3

Keywords

Search

Navigation