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In times of crisis, such as the Covid-19 global pandemic, journalists who write about biomedical information must have the strategic aim to be clearly and easily understood by everyone. In this study, we assume that journalistic discourse could benefit from language redundancy to improve clarity and simplicity aimed at science popularization. The concept of language redundancy is theoretically discussed with the support of discourse analysis and information theory. The methodology adopted is a corpus-based qualitative approach. Two corpora samples with Brazilian Portuguese (BP) texts on Covid-19 were collected. One with texts from a monthly science digital magazine called Pesquisa FAPESP aimed at students and researchers for scientific information dissemination and the other with popular language texts from a news Portal G1 (Rede Globo) aimed at unspecified and/or non-specialized readers. The materials were filtered with two descriptors: “vaccine” and “test.” Preliminary analysis of examples from these materials revealed two categories of redundancy: paraphrastic and polysemic. Paraphrastic redundancy is based on concomitant language reformulation of words, sentences, text excerpts, or even larger units. Polysemic redundancy does not easily show material evidence, but is based on cognitively predictable semantic association in socio-cultural domains. Both kinds of redundancy contribute, each in their own way, to improving text readability for science popularization in Brazil.

The number of students from culturally and linguistically diverse (CLD) backgrounds continue to increase in classrooms across the United States. These students have complex needs as they experience more barriers to success when compared to their peers. These barriers are further compounded when CLD students are also identified as having disabilities. To address the barriers and meet the needs of CLD students with disabilities, teaching professionals should move away from the traditional American educational values of individual freedom and self-reliance, equal opportunity and competition, and material wealth and hard work. Conversely, schools and teaching professionals should incorporate the modern values of social justice, diversity, equity, inclusion, accessibility, and belonging when working with students from CLD backgrounds who have disabilities. This chapter presents these values and provides recommendations for teaching professionals and schools.

This chapter provides a comprehensive exploration of the pivotal role of family planning in advancing sustainable development goals (SDGs). It elucidates the intrinsic connection between family planning and sustainable development, scrutinizes the harmonization of family planning initiatives with SDG targets and indicators, gleans insights from global approaches, and identifies formidable challenges, with a particular focus on marginalized communities. This chapter culminates with a set of substantial recommendations aimed at surmounting these challenges and propelling SDG attainment through the prism of family planning.

Family–school partnerships are an essential component of the special education process for children with disabilities. Notably, recent legislative reauthorizations of IDEA (2004) have focused on increasing parent involvement. For many parents, participation occurs primarily through the individualized education program (IEP) meetings. Parent involvement often includes parent advocating for their children. However, many parents face barriers when advocating to obtain appropriate special education services for their children with disabilities. Culturally and linguistically diverse families face greater systemic barriers (e.g., language and cultural differences) to access services for their own children with disabilities. School professionals can foster opportunities to help families be active members of the IEP process. For example, school professionals should connect families with resources to learn about their special education rights. Specifically, school personnel can encourage families to reach out to their local Parent Training and Information (PTI) Center to be educated and empowered to advocate for services. In addition, parents can be encouraged to attend parent advocacy programs to help increase knowledge, advocacy, and empowerment to access and advocate for services for their own children. Advancing the values of working with parents of students with special education needs is discussed.

Purpose: This chapter aims to unveil the challenges of adopting and using banking chatbots in India and identify the challenges of Chat Generative Pre-trained Transformer (ChatGPT) for future banking.

Need for the study: Unveiling the challenges of chatbots and ChatGPT in the banking industry in India is crucial to understand the limitations and areas of improvement to enhance customer experience, ensure data security, and maintain regulatory compliance.

Methodology: The researchers conducted a narrative review systematically summarising and analysing existing literature on chatbots and ChatGPT, providing a comprehensive overview of the challenges faced in the industry.

Findings: The authors identify perceived risk, platform quality, connectivity and infrastructure, data privacy and security, user education and acceptance, existing legacy systems, and regulatory guidelines as the challenges of adopting chatbots. Additionally, the findings reveal that the challenges posed by ChatGPT in future banking include the potential reduction of traditional banking jobs, linguistic diversity, data privacy and security, ethical considerations and bias mitigation, explainability and accountability, integration with existing banking systems, and user trust and acceptance. However, implementing these new technologies also presents opportunities for individuals with unique human skills, such as critical thinking, empathy, and creativity, which are difficult to replace with technology.

Practical implications: By minimising the challenges of ChatGPT and chatbots, the banking industry could achieve improved customer service, cost efficiency, automation of routine tasks, and 24/7 availability, leading to enhanced customer satisfaction and operational efficiency in the banking industry. Additionally, these artificial intelligence (AI) tools enable data-driven insights, personalised experiences, scalability, and efficient handling of large customer volumes, contributing to better decision-making and enhanced customer engagement.