Artificial Intelligence in Education

IF 0.7 Q3 EDUCATION & EDUCATIONAL RESEARCH
Linda Alkhawaja
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引用次数: 0

Abstract

Despite its controversial nature, machine translation (MT) has been increasingly integrated into learning in the past decade. This controversy arises from two different beliefs. While some believe that MT negatively impacts students' language proficiency, others argue that it allows students to stay abreast of technological advancements. Despite the numerous risks associated with the unstoppable development and irresistible use of MT, it is imperative to explore appropriate integration methods instead of outrightly banning its use in learning the translation practice. Consequently, this article examines existing research on methods of using MT in classroom learning and highlights its strengths and limitations. The article explores pedagogical solutions to harness the capabilities of MT and proposes a novel approach for the practical and efficient utilization of GNMT in translation-learning classroom. The findings propose a novel strategy for optimizing the efficacy of GNMT tools in the context of classroom learning. Also, they emphasize the importance of integrating MT tools in classroom and to the curriculum design as a fast-developed technology tool.
人工智能在教育中的应用
尽管机器翻译本身存在争议,但在过去的十年中,机器翻译已经越来越多地融入到学习中。这场争论源于两种不同的信仰。虽然一些人认为机器学习对学生的语言能力有负面影响,但另一些人认为它可以让学生跟上技术进步的步伐。尽管机器翻译的发展势不可挡,使用势不可挡,存在诸多风险,但在学习翻译实践中,探索合适的整合方法,而不是完全禁止使用机器翻译。因此,本文考察了在课堂学习中使用机器学习方法的现有研究,并强调了其优势和局限性。本文探讨了利用机器翻译能力的教学解决方案,并提出了在翻译学习课堂上实际有效地利用GNMT的新方法。研究结果提出了一种优化GNMT工具在课堂学习中的有效性的新策略。同时,他们也强调了将MT工具作为一种快速发展的技术工具整合到课堂和课程设计中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.00
自引率
14.30%
发文量
49
期刊介绍: The mission of the International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT) is to publish research, theory, and conceptually-based papers that address the use and impact of and innovations in education technologies in advancing foreign/second language learning and teaching. This journal expands on the principles, theories, designs, discussion, and implementations of computer-assisted language learning. In addition to original research papers and submissions on theory and concept development and systematic reports of practice, this journal welcomes theory-based CALL-related book and software/application reviews.
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