![]() ![]() However, a visualization research on the hotspots and trends of Multimedia Big Data through scientometric is still lacking. Multimedia Big Data, known as the biggest big data, is becoming the forefront of big data research. This study is the first to provide an overall perspective of hotspots and trends in the research on AI in the cyber security domain. ![]() Five evaluation factors are used to judge the hotspots and trends of this domain and a heat map is used to identify the areas of the world that are generating research on AI applications in cyber security. This study visualizes the structural changes, hotspots and emerging trends in AI studies. Many research hotspots such as those on face recognition and deep neural networks for speech recognition may create future hotspots on emerging technology, such as on artificial intelligence systems for security. Artificial neural networks, an AI technique, gave birth to today’s research on cloud cyber security. Many countries, institutions and authors are densely connected through collaboration and citation networks. This study promotes the development of theory about AI in cyber security, helps researchers establish research directions, and provides a reference that enterprises and governments can use to plan AI applications in the cyber security industry. Structural changes have been observed in cyber security since the emergence of AI. The recent literature focuses on AI’s application to cyber security but lacks visual analysis of AI applications. This paper also highlights the potential of the graph analytics approach to explore peer learning group dynamics and interaction patterns among students to maximize their teaching and learning experience.Īrtificial Intelligence (AI) provides instant insights to pierce through the noise of thousands of daily security alerts. Based on the results, it was found that five groups were formed during the physical interaction throughout the peer learning process, with at least one student showing the potential to become a peer leader in each group. Once the model and graph visualization were developed, findings from centrality analysis and community detection were conducted to identify peer leaders who can facilitate and teach their peers. The physical interactions among students were captured through an online Google form and represented in a graph model. The experiment was conducted during a mathematics tutorial class. This paper complements existing works by proposing a framework for exploring students’ physical interaction in peer learning based on the graph analytics modeling approach focusing on both centrality and community detection, as well as visualization of the graph model for more than 50 students taking part in group discussions. Hence, more data-driven analysis needs to be performed to investigate the physical interaction in peer learning. However, observation and interviews are often used to investigate peer group learning dynamics from a qualitative perspective. A faculty of Manchester College of Arts & Technology, MOL are one of the UK's largest providers of flexible learning programmes.Physical interaction in peer learning has been proven to improve students’ learning processes, which is pertinent in facilitating a fulfilling learning experience in learning theory. The EDA's product knowledge programme is provided in association with our training partner, MOL. Tracy intends to complete all the modules in the programme and is currently studying Cables & Wiring Accessories. This will, I am sure, give everyone else in my region the encouragement to attempt similar success and, through this training, learn more about our trade". Geoff Azoulay, commenting on Tracy's success, said: "Considering Tracy has been in our trade for only 18 months, passing her City & Guilds is a wonderful achievement. She explained that she "found the format of the course easy to follow, but highly informative at the same time, and it has benefited me in all aspects of my work which in turn has improved the way in which I deal with customers and advise them on the products that suit their needs". Tracy completed modules in Fundamentals of Electricity, Lamps & Lighting, Switchgear Distribution & Protection, Customer Care and Health & Safety gaining Distinctions for three of the five modules. She said "I really enjoyed doing the course because it gave me an opportunity to learn about the products above and beyond what you learn simply from dealing with customers on a daily basis". ![]() Tracy, 25, received her certificate from Geoff Azoulay, Rexel Senate's Regional Director for East Anglia. ![]()
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