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What is Adaptive Assessment

AI in Language Teaching, Learning, and Assessment
Evaluation methods that dynamically adapt in response to the performance of individual learners, utilizing artificial intelligence to deliver immediate feedback and streamline language assessment procedures.
Published in Chapter:
Enhancing Language Teaching Materials Through Artificial Intelligence: Opportunities and Challenges
Surjit Singha (Kristu Jayanti College (Autonomous), India), Ranjit Singha (Christ University, India), and Elizabeth Jasmine (Indian Institute of Psychology and Research, India)
Copyright: © 2024 |Pages: 21
DOI: 10.4018/979-8-3693-0872-1.ch002
Abstract
Incorporating artificial intelligence (AI) into language education signifies a paradigm shift that promotes originality and inclusiveness. The partnership between AI developers and educators effectively tackles obstacles and establishes a foundation for continuous progress. Anticipating the future, the progression of AI holds the potential to deliver intricate customization, customizing educational encounters to suit the unique requirements of each individual. Responsible incorporation of AI into teaching methodologies transforms them into a collaborative model that empowers educators to engage in individualized interactions. Ethics remain of the utmost importance, encompassing bias mitigation and privacy. In essence, the integration of AI into language education signifies an impending era in which the combined powers of technology and human proficiency foster the development of capable individuals who are prepared to navigate an interconnected, digitally globalized society.
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More Results
Individualized Web-Based Instructional Design
Adaptive assessment offers different types of assessment procedures and grading options that provide learners with exposure to different types of learning tasks and problems.
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