Discusses the importance of English as a communication tool in the context of globalization, points out the inadequacies in spoken English training in Chinese university English education, and emphasizes the significance of establishing a practical base for the College English Oral Proficiency Level Test based on the Chivox University Listening and Speaking Teaching Platform to enhance students' oral English proficiency, aiming to provide a reference for the reform of college English education.
The College English Oral Proficiency Level Test aims to assess students' communicative competence in spoken English, but it faces issues such as monotonous content, unclear grading criteria, and unrealistic testing environments. The practical base of the Chivox University Listening and Speaking Teaching Platform provides an effective oral training environment by simulating real-world scenarios. College English oral teaching and assessment remain weak areas in education, with limited testing methods and a lack of a unified evaluation system. The College English Test (CET) Band 4 and 6 oral exams have established a well-developed system, adopting a computerized testing format. In recent years, research on English oral testing has focused on the reliability and practicality of machine scoring, as well as automated scoring technologies. The "Specification for Computer-Based Assessment of English Oral Proficiency" released by the China Information Association provides standards for computer-based English oral proficiency assessment. The China English Speaking Test (CNSET), as the first domestic oral assessment system aligned with the "China Standards of English Language Ability," has established standardized test centers nationwide, utilizing AI speech assessment technology and human-computer dialogue testing, serving as an important reference for national English oral assessments.
Introduces the research on the construction of a practical base for the College English Oral Proficiency Level Test based on the Chivox University Listening and Speaking Teaching Platform. The main contents include: 1) Developing a university-specific AI-based College English Oral Proficiency Level Test resource database to enrich platform content, making it a practical base for evaluating teaching effectiveness and conducting AI assessments; 2) Implementing college English listening and speaking course teaching with AI-based oral assessments, utilizing advanced speech recognition technology; 3) Improving the design and process of the computer-based College English Oral Proficiency Level Test. The implementation path includes: 1) Grading teaching materials for college English listening and speaking courses; 2) Developing self-assessment exercises for human-computer dialogue oral proficiency grading; 3) Constructing course resources for the Chivox University Listening and Speaking Teaching Platform resource center; 4) Teaching practice for college English listening and speaking courses; 5) Human-computer dialogue English oral proficiency testing; 6) Questionnaire surveys; 7) Data analysis; 8) Writing research reports.
This section introduces the research methods for constructing the practical base for the College English Oral Proficiency Level Test based on the Chivox University Listening and Speaking Teaching Platform. The study employs data analysis and questionnaire surveys, collecting students' opinions and suggestions on the practical base construction through AI-based oral test question types and online questionnaires. Data analysis aims to evaluate the design of oral test questions and assessment criteria, identifying potential issues and optimization opportunities. The questionnaire survey seeks to understand students' needs and expectations for the practical base, as well as their feedback on the existing base. By combining these methods, the study aims to provide scientific guidance and support for the construction of the practical base.
A detailed analysis of the results of the research on constructing the practical base for the College English Oral Proficiency Level Test based on the Chivox University Listening and Speaking Teaching Platform is presented. Students participated in university-specific AI oral assessments and questionnaire surveys. The results show that oral assessments include four parts: graded assessment, sentence listening and repetition, sentence reading, and passage reading. In graded assessments, students performed steadily in passage reading but showed significant fluctuations in answering questions and content retelling. Sentence listening and repetition had high scoring rates, but retest scores dropped noticeably. Sentence reading scores gradually improved, while passage reading scores were generally high, likely due to teachers incorporating assessment results into regular evaluations. The questionnaire survey found that most students preferred sentence reading, considering it the most practical and easiest, while answering questions and content retelling were perceived as more challenging. Over two-thirds of students believed machine scoring reflected their true oral proficiency, and most agreed that AI oral assessments helped improve their spoken English. Students suggested reducing difficulty levels and aligning assessment content more closely with textbooks and daily life. The vast majority believed that participating in AI-based English oral assessments at the university level was necessary. Gender differences were observed in question type preferences, perceived difficulty, and perceived helpfulness. Based on these findings, recommendations include strengthening teacher guidance and feedback, enriching practical opportunities, optimizing assessment and incentive mechanisms, implementing personalized teaching strategies, regularly collecting feedback and adjusting teaching methods, utilizing technological tools to aid teaching, and integrating interdisciplinary teaching content to comprehensively enhance students' oral proficiency and achieve better results in oral assessments at different levels.
The research demonstrates that the practical base of the Chivox University Listening and Speaking Teaching Platform significantly improves students' oral English proficiency by providing simulated real-world training environments and diverse oral practice assessment tools. Recommendations include strengthening the construction, promotion, and application of the practical base, incorporating it into more courses and teaching designs, and encouraging teachers and students to fully utilize its resources. Additionally, efforts should be made to enhance the base's content and functions, update and expand oral practice materials, and introduce AI assessment tools to provide instant feedback and personalized learning suggestions, thereby improving learning efficiency. The practical base will better serve students' oral English training, elevating the quality of spoken English teaching in the educational system and students' comprehensive language abilities.
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