Data_Sheet_2_Teaching data science to undergraduate translation trainees: Pilot evaluation of a task-based course.docx

The advancement in technology has changed the workflow and the role of human translator in recent years. The impact from the trend of technology-mediated translation prompted the ratification of technology literacy as a major competence for modern translators. Consequently, teaching of translation technology including but not limited to Computer-aided Translation (CAT) and Machine Translation (MT) became part of comprehensive curricula for translation training programs. However, in many institutions, the teaching of translation technology was haunted by issues such as: narrow scope of curriculum design, outdated technologies, and unbalance between theories and practices in teaching. The study was the pilot evaluation of a tailored course to foster translation trainees’ knowledge and abilities of data science. The course was designed to be a fundamental step toward sophisticated translation technologies. During the pilot evaluation of the 8-week course, 85 students (n = 85) were recruited as participants. The study adopted a mix-method design by employing a survey to investigate student’s level of satisfaction toward the course and focus group discussion to understand students’ attitudes and perceptions of key aspects of the course. By interpreting the results from statistical analysis of the survey (5.39/7) and thematic analysis of the focus group discussion, the course of data science for translators was well received among participants. The evaluation project manifested the feasibility and effectiveness of a translator-oriented data science course.近年来，技术发展重塑了翻译工作流程与人工译者的职业角色。技术赋能翻译趋势带来的影响，促使翻译技术素养被确立为现代译者的核心能力之一。由此，包含但不限于计算机辅助翻译（Computer-aided Translation, CAT）与机器翻译（Machine Translation, MT）在内的翻译技术教学，已成为翻译培训项目完整课程体系的组成部分。然而，诸多院校的翻译技术教学仍面临诸多痛点：课程设计范畴狭窄、技术内容滞后、教学中理论与实践失衡等。本研究为某定制化课程的试点评估，该课程旨在培养翻译学习者的数据科学知识与能力，是通往高阶翻译技术的基础环节。在为期8周的课程试点评估中，共招募85名学生（n=85）作为研究参与者。本研究采用混合研究设计：通过问卷调查评估学生对课程的满意程度，辅以焦点小组讨论以探究学生对课程核心环节的态度与认知。通过对问卷调查数据（满意度得分为5.39/7）的统计分析及焦点小组讨论内容的主题分析，结果显示该面向译者的数据科学课程获得了参与者的广泛认可。本评估项目证实了面向译者的数据科学课程具备可行性与有效性。