sct is a digital learning and teaching system designed to help students in exploring the dynamic decision-making process when diagnosing and treating speech-language impairments.

Background

Diagnosing speech disorders requires integrating all phonological and articulatory information, including analyzing phonetic inventories, syllable and word structures, speech accuracy, phonological process analysis, speech intelligibility, and phoneme contrast testing. Only by considering the results of target sound elicitation can an accurate diagnosis be determined.

An innovative and systematic online clinical decision-making training program for speech disorders must be based on the latest domestic and international research on clinical decision-making and reasoning. It involves collecting relevant clinical cases to create scripts that train speech-language pathologists (students) in diagnosing speech disorders. This program is designed to guide students through progressively complex clinical cases, helping them formulate hypotheses, perform differential diagnoses, revise or discard hypotheses, and consciously apply dual-pathway thinking to clarify and confirm diagnoses. Throughout this process, learning prompts are used to enhance their metacognitive clinical reasoning skills. Each case also provides expert explanations and final diagnostic results as references.

The “Script Concordance Test Platform (SCT)” is designed to integrate and evaluate the teaching effectiveness of this clinical decision-making training program.

Given these challenges, we developed a cloud-based learning platform focused on disordered speech transcription. This platform is designed to complement classroom teaching while accommodating individual differences in auditory perception and learning starting points. It allows users to practice repeatedly, helping them develop skills in identifying disordered speech sounds and transcribing them using the IPA.

System Architecture

The teaching system consists of the following four subsystems:

  1. Frontend software (available as a desktop application and web version)
  2. Backend management platform (administrative website)
  3. Learning bulletin board

For more details, please watch the video.

Practice Website

• sct demo platform (account: guest password: guest123)

Academic Foundation

All phonetic concepts in sct are provided by Professor Lily Yeh and her research and teaching team from the Department of Audiology and Speech-Language Pathology at Mackay Medical College.

Contact

Feel free to reach out to discuss how to use this platform or potential collaborations.

Email: support@cmssds.org

Clinical Management of Speech and Language Disorders