A Study on a Formative Assessment Mechanism for Translation Using E-Portfolio and AI
Abstract
processes, learning abilities, and overall competencies. This study uses electronic portfolios to establish a formative assessment mechanism.
Focusing on students majoring in translation at the Nanjing Normal University Zhongbei College, it explores the practical value of e-portfolios
in translation education through longitudinal data collection and multidimensional analysis. The results indicate that e-portfolio enhances
students' self-monitoring, reflective, and project management skills, making their learning trajectories more traceable and their competency
development more measurable. This study seeks to provide empirical evidence for the development of an AI-adapted formative assessment
system for translation programs. In addition, it has implications for nurturing translators with both technical competence and humanistic, reflective capacity.
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DOI: http://dx.doi.org/10.70711/neet.v4i6.9525
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