Background: Collaboration between Speech and Language Therapists (SLTs) and parents is considered best practice for children with developmental disorders. However, such collaborative approach is not yet implemented in therapy for children with developmental language disorders (DLD) in the Netherlands. Improving Dutch SLTs’ collaboration with parents requires insight in factors that influence the way SLTs work with parents. Aims: To explore the specific beliefs of Dutch SLTs that influence how they collaborate with parents of children with DLD. Methods and procedures: We conducted three online focus groups with 17 SLTs using a reflection tool and fictional examples of parents to prompt their thoughts, feelings and actions on specific scenarios. Data were organised using the Theoretical Domains Framework (TDF). Outcomes and results: We identified 34 specific beliefs across nine TDF domains on how SLTs collaborate with parents of children with DLD. The results indicate that SLTs hold beliefs on how to support SLTs in collaborating with parents but also conflicting specific beliefs regarding collaborative work with parents. The latter relate to SLTs’ perspectives on their professional role and identity, their approach towards parents, and their confidence and competence in working collaboratively with parents.
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Background Children with speech sound disorders (SSD) are at higher risk of communication breakdown, but the impact of having an SSD may vary from child to child. Determining the severity of SSD helps speech-language therapists (SLTs) to recognise the extent of the problem and to identify and prioritise children who require intervention. Aims This study aimed to identify severity factors for SSD in order to develop a multifactorial Speech Sound Disorder Severity Construct (SSDSC) using SLTs’ views and the International Classification of Functioning, Disability and Health (ICF). Method In an explorative five-staged qualitative study, the research question was answered: ‘How do SLTs determine the severity of SSD in children?’. A total of 91 SLTs from The Netherlands participated in data collection and analysis. The iterative process included three different qualitative research methodologies (thematic analysis [TA], constructivist grounded theory [CGT] and content analysis [CA]) to ensure validation of the results by means of method triangulation. Results SLTs considered nine themes: intelligibility, speech accuracy, persistence, the child's perception, impact, communicative participation, concomitant factors, professional point of view, and environmental factors. The themes were summarised in three main severity factors: (I) Speech accuracy, (II) The child's perception of the impact of their speech, and (III) Intelligibility in communication. Other severity factors were concomitant factors and impact. Expertise and support were identified as facilitators or barriers that may worsen or relieve the severity of SSD. Conclusions This study highlights the need for SLTs to rethink how they think about severity as a simplistic construct reflecting only speech accuracy. It is recommended that a broader holistic approach to measuring severity is adopted.
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ABSTRACT Purpose: This short paper describes the dashboard design process for online hate speech monitoring for multiple languages and platforms. Methodology/approach: A case study approach was adopted in which the authors followed a research & development project for a multilingual and multiplatform online dashboard monitoring online hate speech. The case under study is the project for the European Observatory of Online Hate (EOOH). Results: We outline the process taken for design and prototype development for which a design thinking approach was followed, including multiple potential user groups of the dashboard. The paper presents this process's outcome and the dashboard's initial use. The identified issues, such as obfuscation of the context or identity of user accounts of social media posts limiting the dashboard's usability while providing a trade-off in privacy protection, may contribute to the discourse on privacy and data protection in (big data) social media analysis for practitioners. Research limitations/implications: The results are from a single case study. Still, they may be relevant for other online hate speech detection and monitoring projects involving big data analysis and human annotation. Practical implications: The study emphasises the need to involve diverse user groups and a multidisciplinary team in developing a dashboard for online hate speech. The context in which potential online hate is disseminated and the network of accounts distributing or interacting with that hate speech seems relevant for analysis by a part of the user groups of the dashboard. International Information Management Association
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"Speak the Future" presents a novel test case at the intersection of scientific innovation and public engagement. Leveraging the power of real-time AI image generation, the project empowers festival participants to verbally describe their visions for a sustainable and regenerative future. These descriptions are instantly transformed into captivating imagery using SDXL Turbo, fostering collective engagement and tangible visualisation of abstract sustainability concepts. This unique interplay of speech recognition, AI, and projection technology breaks new ground in public engagement methods. The project offers valuable insights into public perceptions and aspirations for sustainability, as well as understanding the effectiveness of AI-powered visualisation and regenerative applications of AI. Ultimately, this will serve as a springboard for PhD research that will aim to understand How AI can serve as a vehicle for crafting regenerative futures? By employing real-time AI image generation, the project directly tests its effectiveness in fostering public engagement with sustainable futures. Analysing participant interaction and feedback sheds light on how AI-powered visualisation tools can enhance comprehension and engagement. Furthermore, the project fosters public understanding and appreciation of research. The interactive and accessible nature of "Speak the Future" demystifies the research process, showcasing its relevance and impact on everyday life. Moreover, by directly involving the public in co-creating visual representations of their aspirations, the project builds an emotional connection and sense of ownership, potentially leading to continued engagement and action beyond the festival setting. "Speak the Future" promises to be a groundbreaking initiative, bridging the gap between scientific innovation and public engagement in sustainability discourse. By harnessing the power of AI for collective visualisation, the project not only gathers valuable data for researchers but also empowers the public to envision and work towards a brighter, more sustainable future.
