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Trends in technology-enhanced learning strategies in speech-language pathology solutions: a systematic review of journal publications from 2004 to 2023

Chi-Jen Lin, Husni Mubarok, Rakha Ramadhana A.B., Samuel Gasperius, Chia-Ying Liu, Salisa Sawettanun, Kantapat Meesomyut, Ling-Rong Zheng

Year
2024
Citations
7

Abstract

This systematic review aimed to investigate the role of technology as a solution in Speech-Language Pathology (SLP). A total of 49 articles published between 2004 and 2023 were examined to gather information on general aspects, methodology, technology implementation, learning outcomes, and limitations and solutions related to technology-enhanced learning strategies in SLP research. The study focused on identifying the target participants, technological approaches, and the effectiveness of technology in SLP. The analysis revealed that the majority of studies included graduate students and general participants, highlighting a need for further exploration of technology's impact on babies and older adults in the field of SLP. Various technologies such as augmented reality (AR), virtual reality (VR), robots, and artificial intelligence (AI) were investigated, with computer-based, web-based, and online multimedia environments being the most used technology environments. Limitations of previous studies were identified, and potential solutions and advantages were suggested for guiding future research. The findings can be used as a reference for researchers, practitioners, schools, associations, and policy-makers intending to conduct SLP studies or implement technology-enhanced SLP solutions. The identified limitations and proposed solutions can serve as a reference for improving future studies in this field.

Keywords

Computer scienceField (mathematics)Systematic reviewMultimediaData scienceMEDLINE

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