A systematic review of the first year of publications on ChatGPT and language education: Examining research on ChatGPT’s use in language learning and teaching

Li, Belle; Lowell, Victoria L.; Wang, Chaoran; Li, Xiangning

doi:10.1016/j.caeai.2024.100266

Cited by 2 publications

References 73 publications

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Digital and Virtual Technologies for Work-Related Biomechanical Risk Assessment: A Scoping Review

Anacleto Filho,

Colim,

Jesus

et al. 2024

Safety

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The field of ergonomics has been significantly shaped by the advent of evolving technologies linked to new industrial paradigms, often referred to as Industry 4.0 (I4.0) and, more recently, Industry 5.0 (I5.0). Consequently, several studies have reviewed the integration of advanced technologies for improved ergonomics in different industry sectors. However, studies often evaluate specific technologies, such as extended reality (XR), wearables, artificial intelligence (AI), and collaborative robot (cobot), and their advantages and problems. In this sense, there is a lack of research exploring the state of the art of I4.0 and I5.0 virtual and digital technologies in evaluating work-related biomechanical risks. Addressing this research gap, this study presents a comprehensive review of 24 commercial tools and 10 academic studies focusing on work-related biomechanical risk assessment using digital and virtual technologies. The analysis reveals that AI and digital human modelling (DHM) are the most commonly utilised technologies in commercial tools, followed by motion capture (MoCap) and virtual reality (VR). Discrepancies were found between commercial tools and academic studies. However, the study acknowledges limitations, including potential biases in sample selection and search methodology. Future research directions include enhancing transparency in commercial tool validation processes, examining the broader impact of emerging technologies on ergonomics, and considering human-centred design principles in technology integration. These findings contribute to a deeper understanding of the evolving landscape of biomechanical risk assessment.

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Digital and Virtual Technologies for Work-Related Biomechanical Risk Assessment: A Scoping Review

Anacleto Filho,

Colim,

Jesus

et al. 2024

Safety

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A Framework for the Responsible Integration of Generative AI Tools in Learning

Ko,

Chan

2024

Advances in Educational Technologies and Instructional Design

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Generative artificial intelligence (Gen-AI) tools are increasingly utilized in educational settings for tasks ranging from content creation to personalizing learning experiences. While these tools offer considerable potential to transform education, their integration brings challenges, including biases, dependency, and ethical dilemmas. Addressing these challenges and ethical concerns is essential to fully leveraging Gen-AI to promote equitable and effective learning. This chapter presents a framework for the responsible use of Gen-AI tools in learning environments, offering guidance to educators, technologists, policymakers, students, and other stakeholders. The framework provides proactive guidelines to navigate the complexities of Gen-AI, ensuring these tools are employed ethically and effectively to enhance student learning outcomes.

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A systematic review of the first year of publications on ChatGPT and language education: Examining research on ChatGPT’s use in language learning and teaching

Cited by 2 publications

References 73 publications

Digital and Virtual Technologies for Work-Related Biomechanical Risk Assessment: A Scoping Review

Digital and Virtual Technologies for Work-Related Biomechanical Risk Assessment: A Scoping Review

A Framework for the Responsible Integration of Generative AI Tools in Learning

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