Examining Technology Integration in Language Assessment
Abstract
In today's interconnected world, the convergence of technology and English language evaluation has arisen as a transformational force, influencing how we assess language proficiency. This article examines the impact of technology on language assessment, including both its possible benefits and drawbacks. The article begins by discussing standard evaluation methods and the need for more adaptive methodologies. It then goes through technological integration, such as automated scoring systems, speech recognition software, natural language processing tools, and online competence assessments. While technology improves objectivity, provides faster feedback, allows for tailored learning routes, and increases security, it also introduces new obstacles. Among the issues raised include biases in automated systems, discrepancies in technology access, the legitimacy of responses, and maintaining a balance between technology and human engagement. Case Studies Using Duolingo
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PDFDOI: http://dx.doi.org/10.30870/aiselt.v8i1.22246
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