LITSIM DIGITAL: INNOVATION IN LITERARY LISTENING LEARNING BASED ON DIGITAL MEDIA AND AI ANALYTICS
Abstract
This research aims to develop a digital technology-based literature listening learning strategy, called LitSim Digital (Literature Listening Digital). This strategy integrates digital media, interactive applications, and artificial intelligence (AI)-based analytics to improve listening skills and appreciation of literary works. The research and development (R&D) method was used in developing this strategy, with stages including needs analysis, strategy design, digital media development, testing, evaluation, and revision. The implementation of LitSim Digital involves five learning syntaxes: orientation and motivation, exploration, elaboration, evaluation, and reflection. The results showed that the strategy increased students' motivation, engagement, and understanding of literary elements, such as plot, character, and theme. The integration of AI analytics provided automated feedback that helped students improve their understanding. This research recommends wider implementation of LitSim Digital to support literature learning relevant to the digital age.
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