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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 guidance note presents examples of qualitative research on education, privileging those from low and middle-income countries when available; however, the content of the note is not exclusive to research in one sector or income level, and the main principles and processes outlined apply across research topics and locations. The research examples provided in this note meet the criteria for strong evidence and present evidence-based guidance based on qualitative research. These studies...
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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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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 study investigated accessibility to and utilization of electronic resources among pre-service teachers in the National Open University of Nigeria (NOUN). Survey research design was used to carry out the study. Two hundred and thirty eighty (238) undergraduate students studying to obtain Bachelor of Education (B. Ed.) by distance were purposively sampled from Ibadan Study Centre of the institution. The results from the survey revealed that electronic resources in different forms like...
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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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Objectives: To empirically test the impact of dietary intake at several time points in childhood on children’s school attainment and to investigate whether any differences in school attainment between children who ate packed lunches or school meals was due to who these children were, their pre-school dietary patterns, or to what they ate at school. Design: Using longitudinal data available in the Avon Longitudinal Study of Parents and Children (ALSPAC), multivariate linear regression was...
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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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