Rob_lux
TalkBox: Constraint-Based Intelligent Tutor for Augmentative and Alternative Communication for Filipino Preschoolers with Speech Delay: An Application of Decision Tree Algorithm
Abstract
This study centers on the essential role played by Speech-Language Pathologists (SLPs) in the diagnosis and treatment of speech and language disorders within the Philippines. It underscores the significant difficulties resulting from the limited availability and effectiveness of Augmentative and Alternative Communication (AAC) tools, particularly in the context of the Filipino language. These limitations impede the progress of Filipino children struggling with speech delay disorders. The study aims to develop AAC software integrated with an intelligent tutoring system in Filipino. This innovative approach incorporates Filipino AAC tools such as AAC boards, assessments, client management, and identification of rapid-guessing behavior on AAC assessments on different difficulty levels using a decision tree algorithm, providing a structured and personalized therapy approach. The software was evaluated by a total of 50 participants, most of whom are our main beneficiaries- the speech-language pathologists, and the majority of them found it to be a helpful tool during therapy sessions. The findings of this study and the developed software have significant implications in the field of Augmentative and Alternative Communication (AAC). Additionally, this study's contribution serves as a foundation for future advancements in AAC-related technologies, driving innovation and improvement in the field.
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