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Researchers, educators and companies are experimenting with ways to turn flawed but famous large language models into trustworthy, accurate ‘thought partners’ for learning.
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The Global Convening on Education Evidence Labs, hosted by Jacobs Foundation in partnership with the Foreign, Commonwealth, and Development Office (FCDO), alongside support from On Think Tanks (OTT), brought together stakeholders from Ministries of Education, EdLab implementing units, research institutions, multilateral agencies, and global funders. The event, held in mid-October 2023, aimed to address the […]
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The repository aims to create an overview and comparison of software used for systematically screening large amounts of textual data using machine learning.
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Whilst the ability of generative AI to produce text in English has been widely covered, the implications of its ability to translate and act as a cultural broker into English have received less att…
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AI language learning tools are computer programs or software applications that use artificial intelligence (AI) algorithms to help users learn and improve their skills in a foreign language. These technologies have a lot of benefits, such as the ability to save time and speed up learning, to give students personalized learning experiences, and to help them learn about other cultures. In this study, the scientific literature was looked at to find out the pros, cons, opportunities, and...
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Augmented Education in the Global Age: Artificial Intelligence and the Future of Learning and Work is an edited collection that explores the social impact of Artificial Intelligence over the coming decades, specifically how this emerging technology will transform and disrupt our contemporary institutions. Chapters in this book discuss the history of technological revolutions and consider the anxieties and social challenges of lost occupations, as well as the evolution of new industries...
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As AI and machine learning permeates every area of life, its use to ameliorate educational inequities becomes of great interest. One important application of machine learning within education is to help students increase their alignment of career choice, educational attainment, and projected salary. Alignment theory has shown that having alignment yields higher educational attainment for students. Using the app, Init2Winit, which has students play a game which gives them points for correct...
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Student problem behavior refers to the students’ undesirable conducts and actions in schools. These behaviors severely affect students’ growth and development. In many cases, student problem behaviors are caused by the unsatisfied psychological needs, which are defined as the need deficiency. Hence, diagnosing students’ need deficiencies and regulating their problem behaviors are important educational tasks. The previous psychological studies have analyzed how distinct factors might affect...
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In this chapter, we reflect on the deployment of artificial intelligence (AI) as a pedagogical and educational instrument and the challenges that arise to ensure transparency and fairness to staff and students . We describe a thought experiment: ‘simulation of AI in education as a massively multiplayer social online game’ (AIEd-MMOG). Here, all actors (humans, institutions, AI agents and algorithms) are required to conform to the definition of a player. Models of player behaviour that...
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Abstract Background The recent discussion of introducing artificial intelligence (AI) knowledge to K–12 students, like many engineering and technology education topics, has attracted a wide range of stakeholders and resources for school curriculum development. While teachers often have to directly interact with external stakeholders out of the public schooling system, few studies have scrutinized their negotiation process, especially teachers'...
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As “scientists in the crib,” children learn through curiosity, tirelessly seeking novelty and information as they interact—really, play—with both physical objects and the people around them. This flexible capacity to learn about the world through intrinsically motivated interaction continues throughout life. How would we engineer an artificial, autonomous agent that learns in this way – one that flexibly interacts with its environment, and others within it, in order to learn as humans do? In...
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Intelligent textbooks are a new form of digital textbooks that provides students with intelligent learning services, such as automatic question answering, adaptive navigation support, automatic linking, and personalized recommendation. Educators are investing much effort into the conversion of their paper-based textbooks and digital textbooks into intelligent textbooks. This chapter provides a brief introduction to the development of intelligent textbooks and reviews major adaptive...
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The COVID-19 pandemic has challenged healthcare professionals’ clinical reasoning, which can have serious consequences for patients. So far, the use of artificial intelligence (AI) in nursing education has been limited. Artificial intelligence (AI) is one solution for ensuring quality decision-making in demanding clinical situations in two ways. First, AI applications can support healthcare professionals’ clinical decisions. Second, AI techniques can be used to support learning clinical...
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Advances in virtual reality (VR) technology afford creation of immersive virtual learning environments that simulate real-life learning contexts with increasing fidelity. When supported by sufficiently advanced artificial intelligence (AI)-based tutoring software, such environments may facilitate asynchronous, embodied learning approaches for learning hard, procedural skills in industrial settings – addressing timeliness, accuracy, and scalability issues common in the industry.
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This chapter discusses the ethical issues and solutions that educational technology (EdTech) companies and schools consider during their daily work. As an example, two Finnish cases are provided, in which companies and schools were interviewed about the problems they have experienced. The chapter first reviews the regulations and guidelines behind ethical AI. There are a vast number of guidelines, regulations, and principles for ethical AI, but implementation guidelines for how that...
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The interaction capabilities of Intelligent Social Agents, made possible by advances in artificial intelligence, are eliciting deep emotional bonding with users, leading researchers to reexamine the impact and potential uses of these human-machine relationships in education. In this work, we examine how one best-in-class ISA, Replika, might be affecting users socially, emotionally, and cognitively. Our results indicate that many use Replika as a social and cognitive mirror, facilitating...
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