Learning Assessment for Open Education Learners in the Era of Generative Artificial Intelligence

Abstract

Generative Artificial Intelligence (AI) tools are now used by students to do their learning assessment, thus impairing the value of such learning assessment. For open education learners who aim to just obtain adult education diplomas, particularly, the cost of learning assessment is becoming increasingly low due to the use of generative AI. How to instructional design and assessment for open education learners in the era of generative AI becomes therefore an issue requiring urgent solutions. From such perspectives as the advantages and disadvantages of generative AI, the learning needs and characteristics of open education learners, and the new characteristics of learning assessment with the use of generative AI, this paper examines the dilemma of instructional design and assessment during the age of generative AI, puts forward the ideas and models for the design of homework for open education learners, and makes learning assessment design proposals with respect to renewing the methods of learning assessment, improving the AI literacy of both teachers and students, etc., with a view to offering some insight for the design of homework in the era of generative AI.

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