DESIGNING AI-POWERED MICROLEARNING ACTIVITIES FOR LITERATURE INSTRUCTION

Abstract

The demanding nature of literary studies often poses challenges for teachers in literature classrooms. A vast number of literary texts are lengthy, complex, and require deep interpretation; thus, they require learners to engage deeply with the material in order to achieve the objectives of literature instruction and develop literary competence, all within limited classroom time. In this context, microlearning can offer focused and manageable learning activities that support engagement with literary texts while preserving their depth and nature. This conceptual paper explores the potential of AI-powered microlearning as an instructional approach in literature classes. Specifically, the paper examines how artificial intelligence can assist teachers in designing microlearning activities for literary themes, characterization, literary devices, and textual interpretation, while also considering the pedagogical opportunities and challenges associated with such integration.It aims to demonstrate how artificial intelligence can support the design of flexible and personalized microlearning activities that break literary texts into manageable learning units, such as character analyses, theme exploration tasks, and guided reflections, thereby assisting teachers in achieving the instructional objectives of literature classes.