ENHANCING CHILDREN’S READING PRACTICE THROUGH EARLY AND ADAPTIVE FEEDBACK
Date
2024-12-15
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Abstract
Reading proficiency is a critical skill for academic and personal success, yet many
educational tools lack the adaptive feedback necessary to address individual learning
needs effectively. Existing systems often provide static feedback that fails to adapt
to the learner’s pace, particularly in vocabulary acquisition and pronunciation skills.
This research introduces a personalized reading assistance system, Reading companion system, designed to fill these gaps by integrating dynamic, adaptive feedback
mechanisms for vocabulary and detailed, step-by-step guidance for pronunciation.
The Reading companion system’s (RCS) adaptive vocabulary component utilizes dynamic difficulty scaling and personalized learning paths to adjust vocabulary
complexity based on each learner’s progress, ensuring that students remain engaged
without feeling overwhelmed. For pronunciation, the Reading companion system of-
fers a step-by-step breakdown of difficult words, with phonetic guidance that helps
students build confidence and accuracy in reading aloud. Together, these components provide a comprehensive, learner-centered feedback approach that tailors the
reading experience to each student’s unique needs.
To evaluate the usefulness of the RCS, a study was conducted with 14 participants, including teachers and caregivers of children aged 6–12. The study explored
the perceived impact of the system’s adaptive feedback on vocabulary retention and
pronunciation proficiency through qualitative interviews and thematic analysis. Key
findings highlighted the system’s ability to dynamically adapt to individual needs,
fostering meaningful improvements in reading skills.
By focusing on adaptive vocabulary support and structured pronunciation guidance, this study addresses significant gaps in educational technology. The findings are
anticipated to demonstrate improvements in vocabulary retention and pronunciation
proficiency, contributing a scalable, personalized approach to reading education.
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Keywords
HCI, Natural Language Processing