Exploring a Word Memory App for Advanced Mobile Technology-Enabled Assessment and Personalized Learning Pathways
Abstract
construction, using an application called Word Memory App as an example for in-depth analysis. The study aims to investigate how the app
uses advanced mobile technologies, such as artificial intelligence, big data analysis, and user interface optimization, to improve learners vocabulary memorization efficiency and learning effectiveness. Specifically, this study evaluated the effectiveness of in-app personalized learning, which automatically adjusts the difficulty and sequence of learning materials based on the users learning progress, ability level, and feedback, with the aim of creating a tailored learning path. In addition, this study investigated the apps innovative practices in real-time learning
assessment, learning progress tracking, and feedback mechanisms, and how these features promote learning motivation and self-regulation.
Through questionnaire surveys, user interviews, and other research methods, this study reveals how advanced mobile technologies can effectively support the precision of educational assessment and the personalization of the learning process, providing valuable practical guidance
and theoretical references for the design and optimization of future educational technology products.
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DOI: http://dx.doi.org/10.70711/neet.v2i12.6208
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