Chinese Language and Literature Education and Humanistic Literacy Enhancement in Colleges and Universities under the Background of Education Informatization
This work is licensed under the Creative Commons Attribution 4.0 International License.
Juan, Gao, Ling, & Yu. (2016). Research on the challenges and countermeasures of chinese language and literature education under teaching reform background. International Journal of Technology Management(008), 000.Search in Google Scholar
Hu, Y., & Dai, K. (2021). Foreign-born chinese students learning in china: (re)shaping intercultural identity in higher education institution. International Journal of Intercultural Relations, 80, 89-98.Search in Google Scholar
Xu, W., & Knijnik, J. (2021). Critical chinese as an additional language education in australia: a journey to voices, courage and hope. British Educational Research Journal, 00, 1-17.Search in Google Scholar
Lin, & Mei-Hsiang. (2016). Traditional chinese confucianism and taoism and current environmental education. Environmental ethics.Search in Google Scholar
Burkhauser, S., Steele, J. L., Li, J., Slater, R. O., Bacon, M., & Miller, T. (2016). Partner‐language learning trajectories in dual‐language immersion: evidence from an urban district. Foreign Language Annals, 49(3).Search in Google Scholar
Odden, Tor Ole B.Marin, AlessandroRudolph, John L. (2021). How has science education changed over the last 100 years? an analysis using natural language processing. Science education, 105(4).Search in Google Scholar
Jiang, S. (2021). The call of the homeland: transnational education and the rising nationalism among chinese overseas students. Comparative Education Review.Search in Google Scholar
Zhou, J., & Wang, X. (2016). Research on the methodologies and approaches for enhancing college students’ humanistic quality in medical school. International Journal of Technology, Management.Search in Google Scholar
Wang, Y., Zhang, Y., Liu, M., Zhou, L., & Li, X. (2019). Research on the formation of humanistic care ability in nursing students: a structural equation approach. Nurse Education Today, 86(1), 104315.Search in Google Scholar
Klopfer, L. E., & Aikenhead, G. S. (2022). Humanistic science education: the history of science and other relevant contexts. Science education(3), 106.Search in Google Scholar
Lyu, B., Lai, C., Lin, C. H., & Gong, Y. (2021). Comparison studies of typing and handwriting in chinese language learning: a synthetic review. International Journal of Educational Research, 106(2), 101740.Search in Google Scholar
Yang, H. (2020). Epistemic agency, a double-stimulation, and video-based learning: a formative intervention study in language teacher education. System, 96.Search in Google Scholar
Bai, & Li. (2017). Language teachers’ beliefs about research: a comparative study of english teachers from two tertiary education institutions in china. System, 72, 114-123.Search in Google Scholar
Lai, C., & Tai, C. P. (2021). Types of social media activities and hong kong south and southeast asians youth’s chinese language learning motivation. System, 97, 102432.Search in Google Scholar
Yang, S. (2021). Diagnosing reading problems for low-level chinese as second language learners. System, 97(1), 102433.Search in Google Scholar
Wu, P. (2018). College chinese teaching and improvement of college students’ humanistic quality. Creative Education, 9(7), 1061-1070.Search in Google Scholar
Turchioe, M. R., Volodarskiy, A., Pathak, J., Wright, D., Tcheng, J., & Slotwiner, D. (2021). Systematic review of current natural language processing methods and applications in cardiology. Heart (British Cardiac Society).Search in Google Scholar
Arbieu, U., Helsper, K., Dadvar, M., Mueller, T., & Niamir, A. (2021). Natural language processing as a tool to evaluate emotions in conservation conflicts. Biological Conservation, 109030.Search in Google Scholar
Alatrash, R., Priyadarshini, R., Ezaldeen, H., & Alhinnawi, A. (2022). A hybrid recommendation integrating semantic learner modelling and sentiment multi-classification. Journal of web engineering(4), 21.Search in Google Scholar
Hu, B., Tang, S., Chen, Q., & Kang, L. (2016). A novel word embedding learning model using the dissociation between nouns and verbs. Neurocomputing, 171(JAN.1), 1108-1117.Search in Google Scholar
Lee, Y. H., Kim, D. W., & Lim, M. T. (2019). A two-level recurrent neural network language model based on the continuous bag-of-words model for sentence classification. International Journal on Artificial Intelligence Tools, 28(01).Search in Google Scholar
Shih, C. H., Lin, C. J., & Jeng, S. Y. (2021). Improved rapid automatic keyword extraction for voice-based mechanical arm control. Sensors and materials: An International Journal on Sensor Technology(8 Pt.4), 33.Search in Google Scholar
Karthik, S. S., Sivakumar, S., & Yuvaraj, P. (2021). An improved automatic keyword extraction using graph based modeling. IJERT-International Journal of Engineering Research & Technology(5).Search in Google Scholar
Yevnin, Y., Chorev, S., Dukan, I., & Toledo, Y. (2023). Short-term wave forecasts using gated recurrent unit model. Ocean Engineering, 268, 113389-.Search in Google Scholar
Chen, M., Li, Z., Chen, P., Liu, W., & Liu, A. (2022). A novel differential dynamic gradient descent optimization algorithm for resource allocation and offloading in the comec system. International journal of intelligent systems.Search in Google Scholar