Construction of Interactive English Translation Teaching Mode Based on 3D Computer Vision Technology Algorithm

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Dades bibliogràfiques
Publicat a:	International Journal of Web-Based Learning and Teaching Technologies vol. 20, no. 1 (2025), p. 1-20
Autor principal:	Lu, Juan
Publicat:	IGI Global
Matèries:	Educational technology Students Teaching methods Computer assisted instruction > CAI Communication Computer vision Distance learning Teachers Computers Multimedia Personalized learning Algorithms Translation Technology Translations Education Technology attitudes Translation methods and strategies 3-D technology Translation instruction English language Teaching Feedback 20th century Interactive learning Ability Learning Activities Critical Thinking Experiential Learning Learning Motivation Interpersonal Relationship Instructional Effectiveness Cognitive Ability English Educational Strategies Educational Resources Influence of Technology Educational Methods Learning Processes Communication Skills Educational Change Educational Psychology Student Interests Electronic Learning Cultural Context Educational Facilities Improvement Educational Needs Class Activities
Accés en línia:	Citation/Abstract Full Text - PDF
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Descripció
Resum:	This paper reflected on the traditional lecture teaching method and proposed an alternative English translation teaching method based on 3D computer vision technology to increase student interest in translation, improve students' translation ability, and compensate for the shortcomings of traditional translation teaching methods. Through experimental research, this paper found that the interactive English translation teaching mode based on 3D computer vision technology was conducive to improving students' translation speed, translation accuracy, comprehensive competence, and the quality of translation teaching. The teacher's composite score was 7.8, and the student's composite score was 8.9. This showed that the interactive English translation teaching mode based on 3D computer vision technology is much more efficient than traditional teaching.
ISSN:	1548-1093 1548-1107
DOI:	10.4018/IJWLTT.380661
Font:	Applied Social Sciences Index & Abstracts (ASSIA)