An Assistive Technology Using FSL, Speech Recognition, Gamification and Online Handwritten Character Recognition in Learning Statistics for Students with Hearing and Speech Impairment

The application of modern technology improves the education system and also provides a better quality of life, especially for those with physical disabilities and with challenging learning environments. This study focus on the development of an e-tutor system that introduces innovative way to assist teachers in presenting lessons and assessment through multi-approach system. Students with or without disability can have access to learning modules and assessment activities even in the comfort of their homes, as part of giving a disruptive supplementary tool for learning. Statistics is the foundation in learning the advance topics of big data and data analytics applied in business intelligence. Nowadays, it is important to give early learning interventions to prepare our young generation. This research is about the use of assistive technology applied in designing and developing a website to teach Filipino students with Filipino Sign Language (FSL) and basic Statistics. This study utilizes speech-to-text, gamified learning, and handwritten character recognition in order to present topics in Statistics in an interactive and animated environment. The study is composed of four (4) modules: Filipino sign language (for lessons in videos and/or dictionary), speech-to-text and speech-to visual approach (for reading), gamified learning (for more interactive environment) and handwritten character recognition (for writing) in teaching and learning Statistics.