College English Smart Classroom Learning Model Utilizing Data Mining Technology

College English Smart Classroom Learning Model Utilizing Data Mining Technology

Xinning Zheng
DOI: 10.4018/IJWLTT.349220
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Abstract

The integration of Internet technology and the collaborative development of smart classrooms is an essential step for colleges and universities to advance English instruction reform. This study utilized data mining (DM) technology to analyze the learning process in college English smart classrooms. The results indicate that the DM algorithm used in this study outperforms the other two algorithms across all metrics. After conducting 15 experiments, the centrality of the DM algorithm in this study reached 0.58, exceeding the ant colony algorithm's centrality of 0.42. The decision tree algorithm exhibited the lowest centrality, reaching a maximum value of only 0.39. Consequently, the methodology utilized in this study demonstrates a significant centrality within the classroom, indicating its suitability for investigating University English smart classroom learning. Hence, implementing a University English smart classroom learning model utilizing DM technology represents the primary approach to achieving intelligent education.
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At present, all aspects of individuals' daily lives are closely connected to the utilization of technologies such as the Internet, big data, and cloud information storage. This is especially evident in the current advancements and changes in education and teaching. These technologies have become an essential tool in establishing intelligent college English classrooms. In these environments, students experience a more open and flexible learning atmosphere, and the intelligent classrooms are able to automatically track students' classroom performance, homework completion, and English language use. Furthermore, they utilize big data and cloud computing to analyze individual students' learning patterns, ultimately enhancing overall English language learning effectiveness. Below are some scholarly studies on intelligent classroom learning in college English.

Tan and Lin (2023) believe that the wisdom classroom is guided by the brand-new wisdom education concept, actively draws lessons from the successful experience of the application practice of the flip classroom, reshapes and upgrades the flip classroom, and provides a typical example for the wisdom education supported by the current technology. Amlak and Al-Saedi (2023) point out: “We should make practical use of technology to improve learning methods and achieve the improvement of teaching effect” (p. 3). In addition, the latest English curriculum standards promulgated by the Ministry of Education further clarify the nature, basic concepts, curriculum contents, and teaching suggestions of the senior high school English curriculum. Mezhoudi et al. (2023) point out that the wisdom classroom of college English pays more attention to the equal learning style between teachers and students and the cooperative learning style between students. In this new classroom teaching mode, students mainly use group cooperation to form a learning community, share learning resources, and help each other learn according to the learning objectives set by teachers. Huang et al. (2023) define the intelligent classroom as follows: “With the support of information technology, a personalized, intelligent and digital classroom learning environment is constructed by changing teaching methods and integrating technology into classroom teaching, thus effectively promoting the cultivation of intelligent ability” (p. X). Alkashami et al. (2023) point out that there are massive and complex data in university English education, such as learning content data, learning process data, test evaluation data, homework data, experimental data, learning behavior record data, learner personalization data, teaching management data, scientific research data, teaching service guarantee data, and more. Wang (2023) points out that the concept of wisdom education was first put forward by foreign scholars under the requirements of the new situation and new era. Cardona et al. (2023) show that teamwork among students can also stimulate students' innovative spirit and thinking ability on different issues, promote the improvement of students' knowledge, skills, learning emotion, and learning attitude, and realize students' intelligent development in the true sense. Bessadok et al. (2023) believe that people's cognitive concept of smart classrooms has also undergone profound changes. Especially in recent years, schools across the country have successively launched various online teaching platform applications. Typical cases include one-to-one digital learning, e-book bag, smart classroom, and more. Chen et al. (2023) completed the scientific construction of an intelligent classroom teaching model based on mathematics, English and other teaching subjects in primary and secondary schools, and applied it to specific teaching practice, changing the traditional rigid model of teachers' teaching and students' learning. Go et al. (2023) put forward that the intelligent classroom of college English not only provides students with new learning methods but also creates real activity scenarios and problem scenarios for students. Under different scenarios, students can further improve and master language learning and practice, and classroom teaching can improve the efficiency.

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