Sustainability of translator training in higher education

The United Nations has set a Sustainable Development Goal in education to be met hopefully by 2030. One of the target areas is to substantially increase the number of youth and adults possessing training and proficiency relevant to the technical and vocational skills needed for employment, well-paying jobs, and decent entrepreneurships. Enrolled students need to be equipped with core competencies suitable for the fields in which they are specializing, including the field of translation. For student translators, “transcreation” is a core competency they are expected to acquire and practice. With its increasing application in all sectors of life, the use of artificial intelligence or machine translation is on its way to becoming mainstream in the translation industry, eliminating bread-winning opportunities from translators, leaving them in the stream of life to sink or swim. That is why trainers of translators and practitioners alike insist that it is time to consider transcreation so that student translators can better embrace future challenges and boost their employability. A one-shot case study was adopted in this research. After a one-semester trial of teaching and practicing transcreation, an online questionnaire survey was administered to gain the overall perceptions of transcreation from the students. Findings show that the students have raised their awareness of transcreation as a novel approach to translation and most of them feel confident about their employability in the translation job market. Implications for translation syllabus design and translator training are also illustrated.

5 Transcreation, a form of rewriting or copy-writing, deviates, to a lesser or greater extent, or even completely, from the source text, so as to better serve the target audience. 6 This course enables me to understand that human creativity can never be replaced by Al or machine 7 Whether to adopt transcreation depends on the skopos or purpose of the translation involved.
8 In translation, the end (skopos or purpose) justifies the means including but not limited to transcreation. 9 In the age of Al, transcreation is a core competence or skill for translators when most of conventional 11 This course has boosted my competitiveness or employability to some degree as a would-be translator.
12 The prospects of the job market in the translation industry are bright though facing huge challenges.

Communalities
Validity research is used to analyze whether the research item is reasonable and meaningful. Factor analysis is used for validity analysis, and KMO value, commonality, variance interpretation rate value and factor load coefficient value are used respectively.
And other indicators are comprehensively analyzed to verify the validity level of the data. KMO value is used to judge the suitability of information extraction, commonality value is used to exclude unreasonable research items, and variance interpretation rate valueis used to explain information extraction.
The factor load coefficient is used to measure the corresponding relationship between factors (dimensions) and items. From the above table, it can be seen that the commonality values corresponding to all research items are higher than 0.4,indicating that the research item information can be effectively extracted. In addition, KMO value is 0.827, which is greater than 0.6, and the data can be effectively extracted. In addition, the variance interpretation rates of the two factors are 39.839% and 21.241% respectively, and the cumulative variance interpretation rate after rotation is 61.080%>50%.That means the information of interesting research items can be effectively extracted. Finally, please combine the factor load coefficient to confirm whether the corresponding relationship between the factor (dimension) and the research item is consistent with the expectation. If it is consistent, it means it is valid, otherwise it needs to be adjusted again.When the absolute value of factor load coefficient is greater than 0.4, it means that there is a corresponding relationship between options and factors.
[Hint]1.If a research item and a measure(factor)is totally inconsistent with the expectation,we can consider deleting the research item2.If there is no correspondingrelationship between a research item and a measure(factor),you can consid er deleting the research item.

Suggestions
Validity analysis is used to study the design rationality of quantitative data (especially attitude scale questions). Firstly, the KMO value is analyzed; If this value is higher than 0.8, it shows that the research data is very suitable for extracting information (the validity is very good from this perspective); If this value is between 0.7 and 0.8, it means that the research data is suitable for extracting information (reflecting good validity )；If thisvalue is between 0.6 and 0.7, it means that the research data is suitable for extracting information (the validity is fairly good )； if this value is less than 0.6,it meansthat the data is not suitable for extracting information (the validity is not good ) (If there are only two items, KMO is 0.5 anyway); Secondly, analyze the corresponding relationship between items and factors.If the correspondence is basically consistent with the psychological expectation of theresearch, it means that the validity is good; Thirdly,if the validity is not good, or the corresponding relationship between factors and items is seriously inconsistent with expectations, or the communality value ofan analysis item is lower than 0.4 (sometimes 0.5), you can consider deleting the item； Fourthly,the common standards for deleting items are: A. the commonality value is lower than 0.4 (sometimes 0.5); B. there is a serious deviation in thecorresponding relationship between analysis items and factor s; Fifthly, repeat the above four steps from 1 to 4 until KMO reaches the standard; and the corresponding relationship between items and factors is basically consistentwith expectations, which will showgood validity; Sixthly, summarize the analysis.

Intelligent Analysis
Intelligent Analysis 0.827 df P 0.000 References only KMO and Bartlett tests are used for validity, that means the corresponding relationship between dimensions and analysis items, variance explanation rate and so on are ignored.
First, analyze KMO value.If this value is higher than 0.8, it means that it is very suitable for information extraction (from one perspective , it shows very good validity)； If this value is between 0.7 and 0.8, it means t hatit is suitable for information extraction (from one perspective,that shows the validity is good)； If this value is between 0.6 and 0.7, it means that information can be extracted (from one perspective ,the validity is fairly good)； If this value is less than 0.6, it means that the information is difficult to extract (the validity is low)； Secondly, the validity analysis requires that it should pass the Bartlett test (the corresponding P value should be less than 0.05); Thirdly,if there are only two analysis items, KMO is 0.5 anyway.