Plenty of research has documented the adverse impact of a parent's sudden job loss on the average child, in terms of mental health and economic prospects. A 1 percent sudden statewide loss in jobs affects 1.5 percent of students directly -- and indirectly led the remaining 98.5 percent of students to experience "learning losses ... that are about one-third the size of those experienced by children whose parents lose jobs." More specifically, that 1 percent job loss lowered the state's eighth-grade math test scores by 0.057 standard deviations, an amount roughly the same size as the increase that results from intervention efforts intended to boost test scores. "What I see as one of the main points in our study is that the effects on people who lost their job or the children of people who lost their jobs -- there are spillover effects," said Dania Francis, one of the study's authors and an assistant professor of economics at the University of Massachusetts at Amherst.
A smart machine made by a company in Chengdu, Sichuan province, took the math test of the national college entrance examination, or gaokao, on Wednesday. AI-MATHS is an artificial intelligence program developed in 2014, based on cutting-edge big data technology, artificial intelligence and natural language recognition from Tsinghua University. Before Wednesday's test, the developer had the machine answer 12,000 math questions to improve its logical reasoning and computer algorithms. In February, AI-MATHS took a math test with Grade 3 students at Chengdu Shishi Tianfu High School and scored 93, slightly higher than the passing grade of 90.
So what might an alternative education assessment system, based on Artificial Intelligence, actually look like? Rose Luckin argues that nowadays AI is capable of "forming an evaluation of each student's progress (…) over a period of time." AI techniques, such as computer modelling and machine learning, would then be applied to this information and the AI assessment system would form an evaluation of the student's knowledge of the subject area being studied. Based on this data, the software system guides each student towards the solution to each problem, providing hints and tips geared to the student's individual profile.
Technology exists to build realistic education assessments based on artificial intelligence in which students can be evaluated individually and at deep, fine-grained scales. "AI techniques, such as computer modeling and machine learning, are applied to this information and the AI assessment system forms an evaluation of the student's knowledge of the subject area being studied," Luckin explains. If we are to build scaled AI assessment systems that will be welcomed by students, teachers and parents, it will be essential to work with educators and system developers to specify data standards that prioritize both the sharing of data and the ethics underlying data use." Maybe there's some way of starting small, wherein existing student data is used for building learning models and individualizing curricula.
In order to open this black box of learning, AI assessment systems need information about: (1) the curriculum, subject area and learning activities that each student is completing; (2) the details of the steps each student takes as they complete these activities; and (3) what counts as success within each of these activities and within each of the steps towards the completion of each activity. Specifically, it collects data about each step the student takes towards a task solution, the amount of hints or tips that the student requires to successfully complete each step and each task, and the difficulty level of each task the student completes. The AIAssess Student Model Component uses outputs from the Analytics Component to strengthen or weaken its judgement about every student's: Knowledge and understanding of each concept in a mathematics or science curriculum, by assessing each student's ability to complete a solution step, or entire task, correctly without any hints or tips. Potential for development in their knowledge and understanding of each concept in a mathematics or science curriculum, by assessing each student's ability to complete a solution step, or entire task, correctly with a particular level of hints or tips.
The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art ...
A study in Sweden found that top-tier adolescent soccer players outperform the general population on'executive function' tests, which assess the processes that regulate thought and action, such as problem solving and multi-tasking. The study in Sweden found that top-tier soccer players, even at a young age, outperform the general population on'executive function' tests, which assess the processes that regulate thought and action, such as problem solving and multi-tasking. The researchers used a number of tests, including the Color-Word Interference Test and Trail Making Test to assess the link between athletic success and executive function. A study in Sweden found that top-tier adolescent soccer players outperform the general population on'executive function' tests, which assess the processes that regulate thought and action, such as problem solving and multi-tasking.
Aristo is being developed by researchers at the Allen Institute for Artificial Intelligence in Seattle, who want to give machines a measure of common sense about the world. You can see Aristo answer selected fourth-grade questions at the Allen Institute website. "What's difficult for humans is very different from what's difficult for machines," says Davis, who also works on giving software common sense. Etzioni counters that although school test questions don't directly test very basic common sense, they require it implicitly, because it is needed to interpret the questions.
Researchers from Stanford University and Google in California have developed a new algorithm that aims to understand students' individual learning abilities. Researchers from Stanford University and Google in California have developed a new algorithm that can understand students' individual learning abilities. The team, led by Chris Piech at Stanford, used deep learning to train the program on student capabilities and question types. The team, led by Chris Piech at Stanford, used deep learning to train the program on student capabilities and question types, according to New Scientist.
With a focus on numbers to measure a student's success flagged as passé, Justin Raymond, Dean of Curriculum Innovation at Pymble Ladies' College in Sydney, has implemented an analytics platform at the all-girls school that tracks an individual to monitor their overall performance. As part of the digital journey at the school, Raymond implemented a platform that tracks students "from functioning to thriving", gathering their performance data from each teacher and class the student is in. The concept of sharing data on a student was a big paradigm shift for the school; Raymond said teachers would previously keep that information for themselves and share it on occasion with parents. He said that the school is now dabbling with business insights and its existing dashboards to gain further insights into each individual student's learning journey, and is also working with its dashboards from an enrolment perspective to be able to gain a better insight into areas such as where each student resides "It's about really making the most of our big data sets and being proactive," he said.