{"id":3319,"date":"2020-10-19T23:38:05","date_gmt":"2020-10-19T23:38:05","guid":{"rendered":"https:\/\/techclot.com\/index.php\/2020\/10\/19\/can-artificial-intelligence-help-students-work-better-together-according-to-research-the-answer\/"},"modified":"2020-10-19T23:38:05","modified_gmt":"2020-10-19T23:38:05","slug":"can-artificial-intelligence-help-students-work-better-together-according-to-research-the-answer","status":"publish","type":"post","link":"https:\/\/techclot.com\/index.php\/2020\/10\/19\/can-artificial-intelligence-help-students-work-better-together-according-to-research-the-answer\/","title":{"rendered":"Can Artificial Intelligence Help Students Work Better Together? According to Research, the Answer …"},"content":{"rendered":"

Can Artificial Intelligence Help Students Work Better Together? According to Research, the Answer …<\/a><\/p>\n

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Once the AI Partners are integrated in these classrooms, Whitehill and his team will be able to collect data on how students interact with them, and then iteratively make them more intelligent and effective. Initially, the AI Partner might be controlled by a human teacher in a backroom (\u201cWizard of Oz\u201d-style interaction), but over time, it can learn from its human controller what to do when and thereby become more autonomous. Whitehill and his team anticipate that the particular form that the Partner takes is likely also important.<\/p>\n

\u201cStudents might find an embodied robot creepy, but they might like interacting with an animated avatar on a touchscreen,\u201d he says.<\/p>\n

This project represents a shift in how researchers envision AI in the classroom. While earlier work in this field sought to fully automate the teaching process, which Whitehill considers to be infeasible, this project is about human-AI teaming, and how humans and teachers possess complementary abilities. AI Partners can help to magnify teachers\u2019 existing strengths by increasing the number of students in the classroom who receive the real-time feedback they need for optimal learning.<\/p>\n

Whitehill also says that this research will be greatly informative even during the COVID-19 pandemic, when many school districts across the country are participating in remote learning. In fact, he says testing agent-student interactions over platforms like Zoom have certain advantages over in-person interactions.<\/p>\n

\u201cWith Zoom, each student and teacher in the classroom is cleanly separated from each other, and all their audiovisual inputs are channeled through a common software interface. This makes it much easier to analyze their speech, gestures, language, and interactions with each other,\u201d Whitehill says. \u201cIn contrast, in normal, in-person classrooms, the interactions are much messier,\u201d since students often sit in all kinds of different positions, might be touching their faces, and work in a noisy environment, which makes it more challenging for the Partner to observe and analyze.<\/p>\n

By the end of this research, Whitehill says he hopes to find practical teaching and coaching strategies that AI Partners can execute that work well with students. \u201cIt\u2019s not clear at all that the way humans teach would work well for a computer, robot, or avatar,\u201d he says.<\/p>\n

While the computational challenges of the project\u2014signal processing in extremely noisy and cluttered settings, real-time control in an uncertain environment, and human-computer interaction for a novel setting\u2014are formidable, Whitehill says the potential rewards make it worth the effort.<\/p>\n

\u201cThe exciting thing about this project is that we get to completely rethink the role of AI in the classroom,\u201d he says. \u201cMy hope is that, through next-generation educational AI, we will be able to stimulate deeper critical thinking and collaboration among students to help them learn better and achieve more.\u201d
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\u2013Jessica Messier<\/p>\n<\/p>\n

Published at Mon, 19 Oct 2020 20:59:50 +0000<\/p>\n

Remote Construction Market Growing with Surging Adoption of Artificial Intelligence<\/a><\/p>\n

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Artificial intelligence (AI) and machine learning are keystones enabling expansion of the remote construction market. Future Market Insights, an ESOMAR-certified market research firm, in its recent study<\/a> forecasts immense possibilities for the market between 2020 and 2030, projecting it to rise at a CAGR of 14.2% during this period.<\/p>\n

Construction sector companies are looking for solutions to manage applications, mobile devices, and a range of other collaborative tools to ensure seamless communication between teams across platforms, devices and geographies. All this are looked upon with an intent of transforming the ways employees conduct their daily businesses.<\/p>\n

An increasing number of companies are turning to modern technologies such as AI and machine learning to analyze project-specific data and get information on weather or other potential disruptions. Steered by the surging penetration of the latest technologies, the remote construction market is expected to grow at an impressive pace.<\/p>\n

Remote construction technology offers a plethora of solutions from helping companies to analyze stock levels, schedules and weather to enabling them to avoid repeating mistakes encountered in previous projects. With the demand for accurate insights rising and companies focusing on reducing cost incurred on any project, remote construction technologies are becoming highly sought after.<\/p>\n

Artificial intelligence and machine learning are not only transforming the way construction companies are executing projects but are intended to create a real impact on daily working conditions for on-site workers. The surging ubiquity of smartphones, tablets and various other smart devices has been compelling the construction sector to integrate<\/span> digital technologies. This has become of key significant in order to meet the rising demand for effective remote operations and management.<\/span><\/p>\n

The report offers exclusive insights into the market for remote construction. Some of the key takeaways from the report include:<\/p>\n