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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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The scholarly information-seeking process for behavioral research consists of three phases: searching, accessing, and processing of past research. Existing IT artifacts, such as Google Scholar, have in part addressed the searching and accessing phases, but fall short of facilitating the processing phase, creating a knowledge inaccessibility problem. We propose a behavioral ontology learning from text (BOLT) design framework that presents concrete prescriptions for developing systems capable...
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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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With the accelerating growth of the academic corpus, doubling every nine years, machine learning is a promising avenue to make systematic review manageable. Though several notable advancements have already been made, the incorporation of machine learning is less than optimal, still relying on a sequential, staged process designed to accommodate a purely human approach, exemplified by PRISMA. Here, we test a spiral, alternating or oscillating approach, where full-text screening is done...
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Citation indices are tools used by the academic community for research and research evaluation that aggregate scientific literature output and measure impact by collating citation counts. Citation indices help measure the interconnections between scientific papers but fall short because they fail to communicate contextual information about a citation. The use of citations in research evaluation without consideration of context can be problematic because a citation that presents contrasting...
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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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This chapter reflects on the contributions of different articles of the book from various perspectives. Seven categories provide perspectives to reflections. Four of them are connected to different levels of the educational system, others opening scenarios to research on education and learning with AI, and finally the last category is devoted to ethical challenges of AI in education and learning.
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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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This commentary aims to discuss perspectives on narrative-centered learning and metaphors of AI-based learning environments. To this end, the commentary draws from James Lester’s keynote and an interview with a focus on the narrative element that underlies the use of AI in Learning. In both texts, Lester offers an account of the narrative-centered learning environments that he has been developing with his research group. One example of such environments is Crystal Island, an AI-based game...
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The traditional “one size fits all” education system has been largely criticized in recent years on the ground of its lacking the capacity to meet individual student needs. Global education systems are leaning towards a more personalized, student-centered approach. Innovations like Big Data, Machine Learning, and Artificial Intelligence (AI) have given the modern-day technology to accommodate the distinctive features of human beings - smart machines and computers have been built to...
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This chapter aims to provide a better understanding of how AI technology can be used to assist in teaching and learning at schools. The Smart Learning Partner (SLP) educational platform is based on AI technology to provide new possibilities for individualized learning and more educational resources. We used a case study approach to investigate how this AI-aided SLP platform helped to assist in teaching and learning from the multiple users’ perspectives of students, teachers, and the...
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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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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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