Hui Fang
Hongmei Shi
Abstract
English has become an utterly crucial device to take part in global verbal exchange and competition. It is essential to enhance English teaching's flexibility to meet the desires to improve the market economy. Therefore, powerful coaching strategies and language identification are considered challenging factors in existing methods. The proposed model includes hypothesized relationships among college students' conception of learning English, their perceptions of the study room environment, and their approaches to learning. They are examined using the Pre-trained Teacher–Student Fixed Interactive Model (PTSFIM). This model proposes a new way to develop the teaching process providing the baseline of record excellence towards a strategic performance control framework for an institute. The traditional strategies emphasize the benefits of the interactive approach and accentuate their effectiveness through Structural Multivariate Equation (SME) analysis in enhancing students' innovative thinking, research, and reasoning abilities. The reciprocal instructional analysis optimizes students' models to memorize for a longer duration. The evaluation of the study's outcomes suggests that interactive learning can assist college students that predict different results in participating inside the speech system and gain the best knowledge. The simulation analysis is performed based on accuracy, performance, and efficiency proves the reliability of the proposed framework.
- [1] . 2018. Application of constructivist theory in flipped classroom-take college English teaching as a case study. Theo. Pract. Lang. Stud. 8, 7 (2018), 880–887.Google Scholar
Cross Ref
- [2] . 2018. Innovative college English teaching modes based on Big Data. KuramveUygulamadaEgitimBilimleri 18, 6 (2018), 3428–3434.Google Scholar
- [3] . 2021. Advanced artificial intelligence in heart rate and blood pressure monitoring for stress management. J. Amb. Intell. Human. Comput. 12, 3 (2021), 3329–3340.Google ScholarCross Ref
- [4] . 2020. Efficient SDN- based traffic monitoring in IoT networks with double deep Q-network. In International Conference on Computational Data and Social Networks. Springer, Cham, 26–38.Google ScholarDigital Library
- [5] . 2020. Differentially private tensor train deep computation for internet of multimedia things. ACM Trans. Multim. Comput., Commun. Applic. 16, 3s (2020), 1–20.Google ScholarDigital Library
- [6] . 2020. Emotional characterization of children through a learning environment using learning analytics and AR- Sandbox. J. Amb. Intell. Human. Comput. (2020), 1–15.Google Scholar
- [7] (Eds.). (2020). Blockchain, Big Data and Machine Learning: Trends and Applications. CRC Press.Google ScholarCross Ref
- [8] . 2019. Wearable IoT smart-log patch: An edge computing-based Bayesian deep learning network system for multi access physical monitoring system. Sensors 19, 13 (2019), 3030. Google ScholarCross Ref
- [9] . 2021. The linguistic summarization and the interpretability, scalability of fuzzy representations of multilevel semantic structures of word-domains. Microproc. Microsyst. 81 (2021), 103641.Google ScholarDigital Library
- [10] . 2020. Analysis of stress's effects on cardiac dynamics: A case study on undergraduate students. Int. J. Med. Inform. 137 (2020), 104104.Google ScholarCross Ref
- [11] . 2018. Internet of things with maximal overlap discrete wavelet transform for remote health monitoring of abnormal ECG signals. J. Med. Syst. 42, 11 (2018), 228.Google ScholarDigital Library
- [12] . 2021. EEG-based brain-computer interfaces (BCIS):A survey of recent studies on signal sensing technologies and computational intelligence approaches and their applications. IEEE/ACM Trans. Comput. Biol. Bioinf. 18, 5 (2021), 1645-–1666.Google Scholar
- [13] . 2021. Joint encryption and compression-based watermarking technique for security of digital documents. ACM Trans. Internet Technol. 21, 1 (2021), 1–20.Google ScholarDigital Library
- [14] . 2021. Projection-dependent input processing for 3D object recognition in human robot interaction systems. Image Vis. Comput. 106 (2021), 104089.Google ScholarCross Ref
- [15] . 2019. Students university healthy lifestyle practice: Quantitative analysis. Health Inf. Sci. Syst. 7, 1 (2019), 7.Google ScholarCross Ref
- [16] . 2015. Effects of training using an active video game on agility and balance. J. Sports Med. Phys. Fit. 55, 9 (2015), 914–921.Google Scholar
- [17] . 2019. Wearable IoT smart-log patch: An edge computing-based Bayesian deep learning network system for multi access physical monitoring system. Sensors 19, 13 (2019), 3030. Google ScholarCross Ref
- [18] . 2021. An ensemble machine learning approach through effective feature extraction to classify fake news. Fut. Gen. Comput. Syst. 117 (2021), 47–58.Google ScholarCross Ref
- [19] . 2018. MTComm based virtualization and integration of physical machine operations with digital-twins in cyber-physical manufacturing cloud. In 5th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/4th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom). IEEE, 46–51.Google ScholarCross Ref
- [20] . 2019. Students university healthy lifestyle practice: Quantitative analysis. Health Inf. Sci. Syst. 7, 1 (2019), 7.Google ScholarCross Ref
- [21] . 2018. College English MOOC teaching on SWOT analysis. Educ. Sci.: Theor. Pract. 18, 6 (2018).Google Scholar
- [22] . 2018. Perception on mobile-assisted language learning (MALL) in English as a second language (ESL) learning among vocational college students. Creat. Educ. 9, 1 (2018), 84.Google ScholarCross Ref
- [23] . 2021. Tracing teachers’ ordering decisions in classroom interaction. Classroom-based Conversation Analytic Research: Theoretical and Applied Perspectives on Pedagogy. Springer, Cham, 225–251.Google ScholarCross Ref
- [24] . 2020. Learning English from YouTubers: English L2 learners’ self-regulated language learning on YouTube. Innov. Lang. Learn. Teach. 14, 4 (2020), 333–346.Google ScholarCross Ref
- [25] . 2018. Investigating the power of authentically caring student-teacher relationships for Latinx students. J. Latin. Educ. 17, 2 (2018), 179–193.Google ScholarCross Ref
- [26] . 2018. Implications of the interrelationship among four language skills for high school English teaching. J. Lang. Teach. Res. 9, 2 (2018), 418–423.Google ScholarCross Ref
- [27] . 2019. Student satisfaction, learning outcomes, and cognitive loads with a mobile learning platform. Comput. Assist. Lang. Learn. 32, 4 (2019), 323–341.Google ScholarCross Ref
- [28] . 2019. Implementing English-medium instruction (EMI) in China: teachers’ practices and perceptions, and students’ learning motivation and needs. Int. J. Biling. Educ. Biling. 22, 2 (2019), 107–119.Google ScholarCross Ref
- [29] . 2018. Reading comprehension and co-teaching practices in middle school English language arts classrooms. Except. Child. 84, 4 (2018), 384–402.Google ScholarCross Ref
- [30] . 2021. The problem based learning in enhancing students' critical thinking for reading skills in english teaching at vocational school. Int. J. Rec. Educ. Res. 2, 2 (2021), 237–249.Google Scholar
- [31] . 2018. Critical thinking cultivation in Chinese college English classes. Eng. Lang. Teach. 11, 8 (2018), 1–6.Google ScholarCross Ref
- [32] . 2019. Promoting college student's learning motivation and creativity through a STEM interdisciplinary PBL human-computer interaction system design and development course. Think. Skills Creativ. 31 (2019), 1–10.Google Scholar
Index Terms
- Effective College English Teaching Based on Teacher-student Interactive Model
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