ACC Library Services: The Future of Science, Engineering and Math: Science, Engineering & Math in a Digital-First World

Reports on the National Wildlife Federation Campus Ecology sustainability case study database.

The aim of this research is to verify gaps in the research into digital accessibility in education by conducting a systematic review of articles featuring the following terms: “digital accessibility”, “education”, “educational”, and “teaching”.

Leading researchers working on synthetic biology and its applications gathered at the University of Edinburgh in May 2018 to discuss the latest challenges and opportunities in the field. In addition to the potential socio-economic benefits of synthetic biology, they also examined the ethics and security risks arising from the development of these technologies. Speakers from industry, academia and not-for-profit organizations presented their vision for the future of the field and provided guidance to funding and regulatory bodies to ensure that synthetic biology research is carried out responsibly and can realize its full potential. This report aims to capture the collective views and recommendations that emerged from the discussions that took place.

As PLOS Biology celebrates its 20th anniversary, our April issue focuses on biotechnology with articles covering different aspects of the field, from genome editing to synthetic biology. With them, we emphasize our interest in expanding our presence in biotechnology research. As PLOS Biology celebrates its 20th anniversary, our April issue focuses on biotechnology with articles covering different aspects of the field, from genome editing to synthetic biology.

This article argues that a broader scope of learning is needed in order to develop future problem-solvers.

This article addresses the potential impact of artificial intelligence (AI) on engineering education. Most AI experts agree that although artificial general intelligence, the kind of AI that is just like humans, is a long way off, artificial narrow intelligence (ANI), which is programmed to perform a single task, is making rapid progress.

This article examines engineering leadership (EL) and looks to the future of the field by exploring four key purposes of EL education: the pursuit of knowledge, personal growth, professional preparation and social transformation.

Study examines the most current uses of Geographical Information Systems in irrigation and provides an overview of emerging technologies such as cloud technology, mobile, real-time data, Internet of Things, 3D GIS, mobile GIS, unmanned aerial vehicles and artificial intelligence.

Discusses the application of big data and artificial intelligence (AI) in the field of geology, how these technologies are addressing the challenges of complex geological data processing, mineral identification, geochemical anomaly detection, and earthquake monitoring and emphasizes the potential for future advancements in the field.

Discusses advances in technology related to oil extraction such as steam injenction, new drilling tools, horizontal drilling, chemical treatments, and 3D imaging of the underground. "Easy oil" is running out but the author predicts that by 2030 more than 50% of the oil known at this time will be recoverable (compared to current average of 35%) with the use of advanced technologies.

Similarly to the article above, discusses the advances in technology (particularly horizontal drilling and hydraulic fracturing, or "fracking"), that make shale gas more accessible. Shale gas is believed to have a "especially massive" supply that was previously difficult to extract.

The COVID-19 pandemic has changed the agenda of mathematics education. This change will be analyzed by looking at three trends in mathematics education: the use of digital technology, philosophy of mathematics education, and critical mathematics education.

Learning mathematics has been considered as a great challenge for many students. The advancement of computer technologies, in particular, artificial intelligence (AI), provides an opportunity to cope with this problem by diagnosing individual students' learning problems and providing personalized supports to maximize their learning performances in mathematics courses.

How can school mathematics prepare citizens for a democratic society? Answers to this question are not static; they change as society and its problems change. The SARS-CoV-2 pandemic with its corresponding disease COVID-19 presents such a problem: what is needed to navigate this complex situation that involves, among other things, mathematics?

Artificial Intelligence (AI) is one of the most crucial factor affecting future career choice of students. Accordingly, we offered students a semester-long Introductory Mathematics for Artificial Intelligence course. The course was developed to provide undergraduate students with various majors to navigate their career opportunities in AI-related jobs.

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We investigated university students' study of mathematics in the digital setting context of the COVID-19 pandemic. We gathered data from a survey of 89 students enrolled in a 'Linear Algebra 1' course including affective variables, learning strategies, social relatedness and resources considered useful. The results indicate students' high effort and self-regulation and a high variation in affective characteristics and social relatedness."