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  1. Free, publicly-accessible full text available August 9, 2024
  2. Free, publicly-accessible full text available August 9, 2024
  3. Wisker, G. ; Elliot, D. ; Quinsee, S. ; Lau, A. ; Bland, T. (Ed.)
    In this study, an AR-based mobile learning application is proposed to assist online civil engineering course learning during the COVID-19 pandemic. A quasi-experiment has been conducted, and feedback from both the teacher and students has been analysed to examine the effectiveness of the proposed approach in terms of learning achievements. The subjects were 46 sophomores who majored in civil engineering in one class taught by one instructor in a southern U.S. state university. The quasi-experimental results showed that the proposed approach could not significantly improve the students’ online learning achievements. However, the feedbacks brought some explanation to this non-significant result. They indicated that students found this mobile AR app to be an interesting, helpful, practical, and effective approach in their online learning that helped them gain more in-depth knowledge than traditional teacher-centred classroom instruction. 
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  4. null (Ed.)
    The National Science Foundation (NSF) held a virtual Symposium on PRedicting Emergence of Virulent Entities by Novel Technologies (PREVENT), on February 22 – 23, 2021 as part of its series on Predictive Intelligence for Pandemic Prevention (PIPP). The workshop brought together more than 60 leading experts, representing NSF research directorates for Biological Sciences (BIO), Computer Information Science and Engineering (CISE), Engineering (ENG), Social, Behavioral and Economic Sciences (SBE), and the Office of International Science and Engineering (OISE), to discuss how the global behavior of an infectious entity can emerge from the interactions that begin occurring between components at the molecular level and expand to physiological, environmental, and population scales. The workshop was divided into four sessions, each focusing on one of four different scales: 1) end-toend (or multi-scale) 2) molecular, 3) physiological and environmental, and 4) population and epidemiological. Particular focus was given to identifying challenges and opportunities in each of these domains. The workshop aimed to: • Identify interdisciplinary advances in science, technology, and human behavior to enable prediction and prevention of future pandemics • Begin to build the necessary convergence to be optimally prepared to prevent future pandemics • Establish convergent data commons and cyberinfrastructure for PIPP This workshop report summarizes the plenary presentations, panel discussions, and breakout group sessions that took place at this event. The results presented here are drawn from the viewpoints expressed by the participants and do not necessarily reflect those of the broader pandemic research community. 
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  5. Langenberg, B. ; Lindsay, K. ; Dowell, C. (Ed.)
    For many students, trigonometry is a difficult subject because it requires strong spatial visualization abilities. A team at Jackson State University makes the teaching and learning process easer with a new learning tool for mobile phones developed using augmented reality (AR). The results indicated that AR incorporated learning tool has great potential for learning trigonometry. 
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  6. null (Ed.)