摘要
Abstract
Against the backdrop of deep integration between artificial intelligence and education,AI learning devices have become essential tools for children's English literacy development.Their core advantage over traditional learning media lies in creating immersive,guided digital learning environments through systematic interaction design.However,existing research predominantly focuses on application effects or functional descriptions,lacking systematic explanations of interaction design characteristics from cognitive theory perspectives.This study employs the ICAP Cognitive Engagement Framework,using iFlytek's"Ryan Bear AI English"as a case study,to systematically analyze and summarize interaction design features targeting different cognitive engagement levels(passive,active,constructive,interactive).The research reveals that the product constructs a hierarchical cognitive guidance system through four interaction design methods:"information design""operational design""task design"and"scenario simulation design".The study theoretically validates the effectiveness of ICAP theory in analyzing cognitive support logic for learning products,while specifically demonstrating hierarchical design characteristics of interaction design in achieving diverse cognitive objectives.关键词
ICAP理论/AI学习机/英语学习/交互设计/认知参与Key words
icap theory/ai learning machine/english learning/interaction design/cognitive engagement分类
社会科学
