Abstract
With the progress and development of the times, education informatization has become the primary content to promote the progress of education. However, with the rapid advancement of technology, many problems have arisen in the integration of online education and information technology. From a practical point of view, advanced information technology should be fully integrated with school education activities to promote education reform and development, and students will definitely obtain a better learning experience. This study aimed to introduce a classroom teaching effect monitoring and evaluation system that incorporates artificial intelligence. In view of the background conditions for the development of this system, reforming measures and specific implementation methods for the integration of information technology and online classroom education are proposed.
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References
Zhang, L.: Comparison of MOOC and traditional online education in the context of online and offline mixed teaching. J. Office Informatization 26(19), 6–8 (2021)
Wang, X.: Research on educational informationization and teaching reform in colleges and universities. J. Cult. Ind. 13(06), 149–150 (2021)
He, K.: On the “Chinese Wisdom” of educational information. Teach. J. 23(09), 18–23 (2019)
Patricia, C., Geraldine, T.S.: transformative learning in an online environment. Int. J. Adult Educ. Technol. 12(4), 1–11 (2021)
John, L.D., Paul, B., Tenzin, D.: Transition to online learning during the COVID-19 pandemic. Comput. Hum. Behav. Rep. 4(30), 100–130 (2021)
Wu, G., Ni, J.: Research on the development of MOOC projects for teachers’ teaching ability improvement under the background of “Internet + education”. Sci. Educ. Article Collects 542(26), 13–15 (2021)
Sun, Z.: Focus on personalized and precise learning in smart classrooms. China J. Multimedia Netw. Teach. 6(07), 110–111(2021)
Chen, L.: Research on the strategies of deep integration of modern information technology and college education and teaching. China Manag. Informationization 24(12), 233–234 (2021)
Dineshwar, R., Oren, M., Mantoo. D., Khemraj, K.: A study of university students’ attitude towards integration of information technology in higher education in Mauritius. J. High. Educ. Q. 75(02), 348–363 (2020)
Liu, J.: Research and thoughts on modern information technology promoting the reform of university curriculum teaching mode. Educ. Teach. Forum 01(04), 64–67 (2021)
Liu, T., Hu, W., Liu, F., Li, Y.: Sentiment analysis for MOOC course reviews. In: Zeng, J., Qin, P., Jing, W., Song, X., Lu, Z. (eds.) ICPCSEE 2021. CCIS, vol. 1452, pp. 78–87. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-5943-0_7
Mao, Y., et al.: Learning behavior-aware cognitive diagnosis for online education systems. In: Zeng, J., Qin, P., Jing, W., Song, X., Lu, Z. (eds.) ICPCSEE 2021. CCIS, vol. 1452, pp. 385–398. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-5943-0_31
Zhao, X., Chen, C., Li, Y.: Implementation of online teaching behavior analysis system. In: Zeng, J., Qin, P., Jing, W., Song, X., Lu, Z. (eds.) ICPCSEE 2021. CCIS, vol. 1452, pp. 399–409. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-5943-0_32
Thongkoo, K., Panjaburee, P., Daungcharone, K.: Integrating inquiry learning and knowledge management into a flipped classroom to improve students’ web programming performance in higher education. Knowl. Manage. E-Learn. 11(3), 304–324 (2019)
Alhazzani, N.: MOOC’s impact on higher education. Soc. Sci. Humanit. Open 2(1), 1–6 (2020)
Lu, F.: Research on the development and application of English MOOC system based on neural network. Autom. Instrum. 7, 226–228 (2019)
Wang, Y., Liang, Z., Cheng, X.: Fast target tracking based on improved deep sort and YOLOv3 fusion algorithm. In: Zeng, J., Qin, P., Jing, W., Song, X., Lu, Z. (eds.) Data Science. ICPCSEE 2021. Communications in Computer and Information Science, vol. 1451, pp. 360–369. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-5940-9_27
Wu, Y., Li, Z., Li, Y., Liu, Y.: Teaching reform and research of data structure course based on BOPPPS model and rain classroom. In: Zeng, J., Qin, P., Jing, W., Song, X., Lu, Z. (eds.) ICPCSEE 2021. CCIS, vol. 1452, pp. 410–418. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-5943-0_33
Long, J.: Research on the application of micro-courses in higher vocational teaching reform. Int. J. Educ. Econ. 5(2), 44–45 (2022)
Li, H., Li, A., Zhu, X.: A brief analysis of the comprehensive application of MOOC teaching mode and virtual reality technology in engineering education. Int. J. High. Educ. Teach. Theory 3(2), 14–15 (2022)
Yuan, T.: Research on MOOC teaching mode in higher education based on deep learning. Comput. Intell. Neurosci. 1, 8031602 (2022)
Zhang, X.: Computer basic teaching reform in applied undergraduate colleges based on “MOOC”. In: Proceedings of 3rd International Conference on Education, Economics and Management Research (ICEEMR 2019) (Advances in Social Science, Education and Humanities Research), vol. 385, pp. 25–28 (2019)
Mao, W.: Video analysis of intelligent teaching based on machine learning and virtual reality technology. Neural Comput. Appl. 1, 1–12 (2021)
Bihui, C.: Design and implementation of mathematical MOOC based on BP Neural Network Algorithm. In: 2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), pp. 20–22 (2021)
Lu, F.: Research on the development and application of English MOOC system based on neural network. Autom. Instrum. 7, 226–228 (2019)
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Wang, A. et al. (2022). Classroom Teaching Effect Monitoring and Evaluation System with Deep Integration of Artificial Intelligence. In: Wang, Y., Zhu, G., Han, Q., Zhang, L., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2022. Communications in Computer and Information Science, vol 1629. Springer, Singapore. https://doi.org/10.1007/978-981-19-5209-8_23
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DOI: https://doi.org/10.1007/978-981-19-5209-8_23
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