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The design of an automatic solver for mathematical word problems (MWPs) dates back to the early 1960s and regained booming attention in recent years, owing to revolutionary advances in deep learning. Its objective is to parse the human-readable word problems into machine-understandable logical expressions. The problem is challenging due to the existence of a substantial semantic gap. To a certain extent, MWPs have been recognized as good test beds to evaluate the intelligence level of agents...
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This study provided a content analysis of studies aiming to disclose how artificial intelligence (AI) has been applied to the education sector and explore the potential research trends and challenges of AI in education. A total of 100 papers including 63 empirical papers (74 studies) and 37 analytic papers were selected from the education and educational research category of Social Sciences Citation Index database from 2010 to 2020. The content analysis showed that the research questions...
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In recent years, led by the wave of artificial intelligence, “artificial intelligence + education” has become a very hot topic. More and more traditional educational institutions have begun to organize and layout the field of ARTIFICIAL intelligence education. Training artificial intelligence talents will become an important mission of education. Meanwhile, educational methods will change with the development of artificial intelligence, and the deep integration of artificial intelligence and...
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Literature reviews establish the foundation of academic inquires. However, in the planning field, we lack rigorous systematic reviews. In this article, through a systematic search on the methodology of literature review, we categorize a typology of literature reviews, discuss steps in conducting a systematic literature review, and provide suggestions on how to enhance rigor in literature reviews in planning education and research.
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The twenty-first century has brought with it a growing variety of authentic and engaging learning environments. While significant portions of human learning still take place in traditional classrooms, researchers and educators have innovated several learning experiences that are embodied, project-based, inquiry-driven, collaborative, and open-ended. Furthermore, there has been greater acknowledgement of the varying timescales and contexts where meaningful learning takes place, as well as...
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Artificial intelligence (AI) plays an increasingly prevalent role in the global education system. However, there is a lack of transparency about how AI technologies work alongside certain ethical guidelines. Achieving the global benefits of AI-driven learning and education requires international dialogue on the commonplaces of ethical considerations. This paper, taking China and Finland as two contextual cases, analyzes how AI-related policies at the national level have focused on...
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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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To help researchers conduct a systematic review or meta-analysis as efficiently and transparently as possible, we designed a tool to accelerate the step of screening titles and abstracts. For many tasks—including but not limited to systematic reviews and meta-analyses—the scientific literature needs to be checked systematically. Scholars and practitioners currently screen thousands of studies by hand to determine which studies to include in their review or meta-analysis. This is error prone...
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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 active learning methods for prioritising systematic reviews have undergone significant progress and innovation in recent years. This rapid development, however, has inadvertently highlighted the disparity between the rapid development of these methodologies and their rigorous evaluation, stemming from constraints in simulation size, lack of infrastructure, and the use of few datasets. We embark on a large-scale simulation study involving over 27 thousand simulations and over 156 million...
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The assessment of student wellbeing has been often static and lagged behind for the intervention/diagnostic purpose. In this chapter, we aim to introduce an automated school wellbeing scoring dynamic real-time system, School Day Wellbeing Model. With Artificial Intelligence (AI)-based item sampling methods and answers scoring and reporting systems, the School Day Wellbeing Model can collect wellbeing data at low cognitive cost, track wellbeing real time at multiple levels (e.g., individual-,...
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Common classroom teaching analysis, which has focused on counting and coding the teacher-student behaviors and discourse interactions, faces many difficulties as content-free, low efficiency, and small scale in analysis. To overcome these shortcomings, and foster high-quality classroom teaching, the current study proposes a blended human and Artificial Intelligence (AI) technology for classroom teaching analysis named as TESTII. It consists of five steps identifying teaching events,...
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