Oral English Auxiliary Teaching System Based on Deep Learning

Abstract

In order to solve the problem of the oral English auxiliary teaching system, a research based on Deep Learning was proposed. Based on the theory of Deep Learning, the teaching mode of Deep Learning for college students built on information technology was investigated in the research. As for Shallow Strategy, the item “I think that the best way to pass the English examination is to keep high frequency words in mind” changed most significantly from 3.3 to 2.68. As for Deep Strategy, the most significant change was the item “It can be very interesting for almost all the oral English topics as long as you engage in it actively.” The value increased from 3.31 to 3.97, which was almost close to 4. From the comparison, it could be found that the students changed from memorizing English words mechanically and passively in order to pass the exam to engaging in the oral English situation actively to solve problems so as to obtain self-satisfaction. As a language, English can reflect a unique cultural heritage. It is different from Chinese culture, which can improve learners’ spiritual and cultural accomplishments subtly. In addition, we should try to solve problems with English logical thinking, which can train our critical thinking and oral expression ability, enhance our self-confidence, and improve our sense of self-efficacy. A design-based research paradigm was used in the research. Through the integrated use of information technology, it aimed at building out a deeply mixed teaching mode based on “Cloud Class and Offline Class.” A combination of quantitative and qualitative data collection methods was adopted to evaluate the practical effect. According to the experimental results, two rounds of mixed-mode iterative loop design were performed for the mixed teaching mode. In order to make it more operable, it was improved and perfected continuously.

Effectiveness of the Deep Learning Strategy in Developing Secondary Stage Students’ EFL Public Speaking Skills فاعلية استراتيجية التعلم العميق فى تنمية مهارات التحدث أمام الجمهور باللغة الإنجليزيةة كلغة أجنبيه لدى طلاب المرحلة الثانوية

“…The difference between surface learning and deep learning is that the first focuses on memorization and recitation of isolated information, while the second focuses on comprehension (Dargan et al,2020;Qu & Li, 2022). Surface learning is a low-level cognitive process of retrieval and shallow understanding.…”

“…It depends on old and new knowledge interaction to master unstructured knowledge, like tacit knowledge and complex concepts (Guo,2021;Liu et al,2022). Deep learning depends on using critical thinking, concept association, meaning extraction, and comprehension (Qu & Li, 2022).…”

“…They connect old and new knowledge to transform their existing knowledge to the natural ways of solving problems. Speaking activities depend on logical reasoning and critical thinking for language expressions in different occasions (Qu & Li, 2022).…”

“…Public speaking develops students' interpersonal interaction (Pierini,2020). Teaching EFL aims to develop students' communication skills, like listening and speaking, so the oral English test is an essential part of the international exams and academic exams for higher education students (Qu & Li, 2022).…”