Teaching Strategies of English Speaking Informatization in Colleges and Universities in the Context of Computer-Assisted Language Learning

[1] Parmaxi, A., Zaphiris, P. (2016). Computer-mediated communication in computer-assisted language learning: implications for culture-centered design. Universal Access in the Information Society, 15(1), 169-177. Search in Google Scholar

[2] Lapitan, L. D., Tiangco, C. E., Sumalinog, D. A. G., Sabarillo, N. S., & Diaz, J. M. (2021). An effective blended online teaching and learning strategy during the covid-19 pandemic. Education for Chemical Engineers(7). Search in Google Scholar

[3] Bogach, N., Boitsova, E., Chernonog, S., et al. (2021). Speech Processing for Language Learning: A Practical Approach to Computer-Assisted Pronunciation Teaching. Electronics, 10(3), 235. Search in Google Scholar

[4] Mateo Sanguino, T. D. J., & Castilla Webber, P. A. (2018). Making image and vision effortless: learning methodology through the quick and easy design of short case studies. Computer Applications in Engineering Education, 26(6), 2102-2115. Search in Google Scholar

[5] Meng, Q. (2017). A Study on Cultivating College Students’ Oral English Ability Based on Computer Assisted Language Learning Environment. Boletin Tecnico/technical Bulletin, 55(4), 80-85. Search in Google Scholar

[6] Liu, F., Yang, K. (2021). Exploration on the Teaching Mode of Contemporary Art Computer Aided Design Centered on Creativity. Computer-Aided Design and Applications, 19(S1), 105-116. Search in Google Scholar

[7] Mikolajczyk, T., Moldovan, L., Chalupczak, A., et al. (2017). Computer Aided Learning Process. Procedia Engineering, 181, 1028-1035. Search in Google Scholar

[8] Akhtar, S., Hussain, F., Raja, F. R., et al. (2020). Improving Mispronunciation Detection of Arabic Words for Non-Native Learners Using Deep Convolutional Neural Network Features. Electronics, 9(6), 1-17. Search in Google Scholar

[9] Zhang, S. (2017). A research on the construction of computer aided college english teaching system based on ecological teaching. Revista de la Facultad de Ingenieria, 32(11), 359-364. Search in Google Scholar

[10] Chen, M. H., Chen, W. F., Ku, L. W. (2018). Application of Sentiment Analysis to Language Learning. IEEE Access, 1-1. Search in Google Scholar

[11] Al-Othman, M. A., Cole, J. H., Zoltowski, C. B., et al. (2017). An Adaptive Educational Web Application for Engineering Students. IEEE Access, 5, 359-365. Search in Google Scholar

[12] Jiang, Y., Guo, Y. (2017). Analysis and application of computer aided mode in teaching Chinese as a foreign language for science and engineering universities. Boletin Tecnico/Technical Bulletin, 55(19), 70-76. Search in Google Scholar

[13] Zhang, Y. (2017). An Empirical study on computer network flipped classroom teaching model in college english learning. C e Ca, 42(5), 2227-2231. Search in Google Scholar

[14] Wen, H. (2017). The design of intelligent english teaching system based on machine learning. Boletin Tecnico/Technical Bulletin, 55(10), 621-627. Search in Google Scholar

[15] Babar, Z., Laarhoven, T. V., Zanzotto, F. M., et al. (2021). Evaluating Diagnostic Content of AI-Generated Radiology Reports of Chest X-rays. Artificial Intelligence in Medicine, 116(4), 102075. Search in Google Scholar

[16] Liu, F., Yang, K. (2021). Exploration on the Teaching Mode of Contemporary Art Computer Aided Design Centered on Creativity. Computer-Aided Design and Applications, 19(S1), 105-116. Search in Google Scholar

[17] Guan, N., Song, J., Li, D. (2018). On the Advantages of Computer Multimedia-aided English Teaching. Procedia Computer Science, 131, 727-732. Search in Google Scholar

[18] Yu, Q. (2020). Development of computer aided classroom teaching system based on machine learning prediction and artificial intelligence KNN algorithm. Journal of Intelligent and Fuzzy Systems, 39(6), 1-12. Search in Google Scholar

[19] Hai, Y. (2020). Computer-aided teaching mode of oral English intelligent learning based on speech recognition and network assistance. Journal of Intelligent and Fuzzy Systems, 39(4), 5749-5760. Search in Google Scholar

[20] Adcock., J., Baptiste., et al. (2016). 1755 Characterization of students’ educational background and subsequent use of relevant teaching methods enhances student engagement and success in introductory animal science course. Journal of Animal Science, 94(5), 855-855. Search in Google Scholar

[21] Jog, V., Loh, P. L. (2020). Teaching and Learning in Uncertainty. IEEE Transactions on Information Theory, PP(99), 1-1. Search in Google Scholar

[22] Sikora, A. (2019). Implementation of a Research-Based Curriculum in Student Biochemistry Labs: The BASIL Model. The FASEB Journal, 33(S1), 456.9-456,9. Search in Google Scholar

[23] Yu, K., Wang, X., Wang, Z. (2016). Constrained optimization based on improved teaching–learning-based optimization algorithm. Information Sciences, 61-78. Search in Google Scholar

[24] Zhao, F., Chen, L. (2017). Empirical study on the teaching quality evaluation system of college physics informatization based on fuzzy comprehensive evaluation method. Revista de la Facultad de Ingenieria, 32(14), 58-66. Search in Google Scholar