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 skill development


Generative AI in Education: Student Skills and Lecturer Roles

Krause, Stefanie, Dalvi, Ashish, Zaidi, Syed Khubaib

arXiv.org Artificial Intelligence

Generative Artificial Intelligence (GenAI) tools such as ChatGPT are emerging as a revolutionary tool in education that brings both positive aspects and challenges for educators and students, reshaping how learning and teaching are approached. This study aims to identify and evaluate the key competencies students need to effectively engage with GenAI in education and to provide strategies for lecturers to integrate GenAI into teaching practices. The study applied a mixed method approach with a combination of a literature review and a quantitative survey involving 130 students from South Asia and Europe to obtain its findings. The literature review identified 14 essential student skills for GenAI engagement, with AI literacy, critical thinking, and ethical AI practices emerging as the most critical. The student survey revealed gaps in prompt engineering, bias awareness, and AI output management. In our study of lecturer strategies, we identified six key areas, with GenAI Integration and Curriculum Design being the most emphasised. Our findings highlight the importance of incorporating GenAI into education. While literature prioritized ethics and policy development, students favour hands-on, project-based learning and practical AI applications. To foster inclusive and responsible GenAI adoption, institutions should ensure equitable access to GenAI tools, establish clear academic integrity policies, and advocate for global GenAI research initiatives.


AI TrackMate: Finally, Someone Who Will Give Your Music More Than Just "Sounds Great!"

Jiang, Yi-Lin, Hsiung, Chia-Ho, Yeh, Yen-Tung, Chen, Lu-Rong, Chen, Bo-Yu

arXiv.org Artificial Intelligence

The rise of "bedroom producers" has democratized music creation, while challenging producers to objectively evaluate their work. To address this, we present AI TrackMate, an LLM-based music chatbot designed to provide constructive feedback on music productions. By combining LLMs' inherent musical knowledge with direct audio track analysis, AI TrackMate offers production-specific insights, distinguishing it from text-only approaches. Our framework integrates a Music Analysis Module, an LLM-Readable Music Report, and Music Production-Oriented Feedback Instruction, creating a plug-and-play, training-free system compatible with various LLMs and adaptable to future advancements. We demonstrate AI TrackMate's capabilities through an interactive web interface and present findings from a pilot study with a music producer. By bridging AI capabilities with the needs of independent producers, AI TrackMate offers on-demand analytical feedback, potentially supporting the creative process and skill development in music production. This system addresses the growing demand for objective self-assessment tools in the evolving landscape of independent music production.


The EAP-AIAS: Adapting the AI Assessment Scale for English for Academic Purposes

Roe, Jasper, Perkins, Mike, Tregubova, Yulia

arXiv.org Artificial Intelligence

The rapid advancement of Generative Artificial Intelligence (GenAI) presents both opportunities and challenges for English for Academic Purposes (EAP) instruction. This paper proposes an adaptation of the AI Assessment Scale (AIAS) specifically tailored for EAP contexts, termed the EAP-AIAS. This framework aims to provide a structured approach for integrating GenAI tools into EAP assessment practices while maintaining academic integrity and supporting language development. The EAP-AIAS consists of five levels, ranging from "No AI" to "Full AI", each delineating appropriate GenAI usage in EAP tasks. We discuss the rationale behind this adaptation, considering the unique needs of language learners and the dual focus of EAP on language proficiency and academic acculturation. This paper explores potential applications of the EAP-AIAS across various EAP assessment types, including writing tasks, presentations, and research projects. By offering a flexible framework, the EAP-AIAS seeks to empower EAP practitioners seeking to deal with the complexities of GenAI integration in education and prepare students for an AI-enhanced academic and professional future. This adaptation represents a step towards addressing the pressing need for ethical and pedagogically sound AI integration in language education.



Lack of skills development in AI and machine learning, report shows - Business Leader News

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CFA Institute, a global association of investment professionals, released the fourth report in its Future of Work series, exploring the Context, Culture, and Content of Work in the investment industry. Advancing technologies and hybrid working continue to change the shape of careers in finance. The Future of Work in Investment Management: The Future of Skills and Learning draws on CFA Institute survey data to identify the skills and learning equation for building talent and careers in a rapidly transforming investment industry. The report highlights current gaps between the supply and demand for skills in the investment industry, examines learning trends, and proposes changes to investment teams to better leverage diverse talent and the combined power of discrete but complementary skills. Fewer than half of survey respondents receive support from employers to develop the new skills they need.


Using machine learning to study parenting styles

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How should we raise our children? Research has shown that the amount of parental time invested is not the only crucial element for children's skill development (Del Boca et al. 2014, Attanasio et al. 2016); parenting style also matters (Fiorini and Keane 2014). Parenting style is a strategic choice linked to incentives (Doepke and Zilibotti 2014). In order to study the relationship between parenting style and child development, researchers rely on ad hoc perceptions or previous research in order to restrict the complexities of parenting to certain key actions. For instance, reading to children has been found to be highly predictive of children's skill development (Kalb and Jan van Ours 2013).


Bongo Learn provides real-time feedback to improve learning outcomes with Amazon Transcribe

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Real-time feedback helps drive learning. This is especially important for designing presentations, learning new languages, and strengthening other essential skills that are critical to succeed in today's workplace. However, many students and lifelong learners lack access to effective face-to-face instruction to hone these skills. In addition, with the rapid adoption of remote learning, educators are seeking more effective ways to engage their students and provide feedback and guidance in online learning environments. Bongo is filling that gap using video-based engagement and personalized feedback.


Building global AI with local impact in an AI economy

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Did you miss a session from the Future of Work Summit? This article was contributed by Wilson Pang, CTO at Appen. The new foundation of the artificial intelligence (AI) economy is flexible, remote work. Thanks to advances in technology that enable remote work at an unimaginable scale, organizations developing AI can now collaborate with people from almost anywhere, including previously inaccessible areas. People across the globe can now contribute to building AI in meaningful ways, particularly through data preparation and annotation work.


Exclusive Interview with Omkar Patil, CEO, Infigon Futures

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Artificial Intelligence (AI) has made a massive impact in the modern world. The use of AI at any level has proved to be fantastic. It automated a significant number of tasks, reducing human effort and has led everyone to believe that there is even more to come. Infigon Futures is a company that empowers the lives of individuals who are seeking educational and career goals to help them make decisions for a brighter future. Speaking with Analytics Insight, Omkar Patil, CEO, Infigon Futures, provides insight into how the education and career planning platform is helping individuals ranging from 11 to 30 in age and what solutions the company offers to improve their lives significantly.


How leadership will shape the Future of Work - Cheryl Cran [Interview]

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Cheryl Cran is a future of work expert and founder of NextMapping. She is a globally known Hall of Fame Keynote Speaker and has a long term successful track record with clients that include small, medium and Fortune 500's businesses. She has also been named as #1 Future of Work Influencer. She is also the author of over 5 books, on business and leadership. Bringing with her vast experience, we are happy to have someone of her stature on our interview series today. We have the pleasure of welcoming Cheryl Cran today to our interview series. Before we begin, just a quick intro of PeopleHum. We run the peopleHum blog and video channel which receives upwards of 200,000 visitors a year and publish around 2 interviews with well-known names globally, every month. Welcome, Cheryl, we're thrilled to have you.