Research on Education
Big Data in Education
Everyday people make data on their processing. If make use of these data to forecast, plan and decide people’s development is a good things. As you can imagine, big data and education have a thing or two to gain from one another. Organizations use big data systems to collect, store and analyze large amounts of information and gain invaluable insights into their daily operations. The innovation is changing how enterprises leverage information, improving industries and transforming education. Big data systems are helping people to learn and improving how organizations analyze and interpret information and use those interpretations to make better decisions. This makes the role of specialists who can organize, understand and analyze data more vital than ever. In the academic setting, futurist envision classrooms fitted with continuous video feeds that capture intricate details of learners, such as facial expressions, discrete physical movements and social interactions. This construct could capture every item that students interact with and every statement made by learners and educators. Additionally, the evaluative system could incorporate biometric signals recorded by wearable devices allowing researchers to discover what drives learning and positively motivates students. Big data technology holds amazing potential for the future of teaching and learning.
Big Data and Education: Benefits
Big data has brought significant changes to many aspects of education. According to a study, published by the Publications Office of the European Union, the most significant change brought by the big data to education, is the ability to monitor educational systems. Schools, universities, colleges and educational organizations hold very large amounts of data related to students and faculty. This data can be analyzed to get insights that can improve the operational effectiveness of the educational institutions. Variables like student’s behavior, examination results, and the development of each student as well as their educational needs will be based on the changing educational requirements. These can be processed through statistical analysis and big data paves the way for a revolutionary system where students will learn in exciting ways. Education Bureau of Government may collect data from school, colleges and educational organizations to plan education policies, initiatives, and actions for county development.
HiESD Joining Big Data Research in Education
As an ESD institute, HiESD has joined partnership with universities to support and participate into Big Data Research Programs in Education. HiESD’s Partner, ZTE Big Data Big Data Laboratory and HiESD expert team will work together with universities to take research studies to find the innovation of education with technologies. Any research organization and universities would like to join or share the research study may contact HiESD by emailing at email@example.com.
Smart Healthy School, Research on Health Education Development of Secondary School in Beijing
Copyrights 2015 Hong Kong Institute of Education for Sustainable Development
Researcher & Authors: Prof. Lee Ngok, Dr. Tsz-kit Cheng, Dr. Samson Ma, Dr. Stephanie W. Lee
Beijing 166 Middle School is a model high school in Beijing with the objectives of cultivating high-quality student with liberal arts qualifications. The school hoped to consolidate and innovate the existing health management and standards through the implementation of “Healthy Schools” project. School expected to conduct scientific analysis based on data quantification to enhance student’s physical and mental health as well as the quality of basic education. The “Youth Health Study” was a leading and trial component of the “Healthy School” project and used data collection, statistical analysis, and questionnaires methodologies to implement study. A quantitative study system was used to assess student’s mental and physical health according to the needs of their growth stages. With the aim to enhance physical and mental health of adolescents, the research study also suggested solutions to improve and promote the physical and mental health of student. This research of “Youth Health Study” was the first study of the relationships between physical and mental health, physical fitness as well as the academic performance of student from the classes of junior one, junior two, high one and high two in Beijing secondary schools. The research project planned to collect data on physical health and fitness used electronic measuring equipments. The data collection for mental health worked with the questionnaire survey. The academic performance measurement was collected according to test and examination scores of current semester. The assessment was conducted by scientific research methods and mainly used quantitative and statistical analysis methodologies.