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How Education Can Leverage Cognitive Computing This makes it a great example of a human-machine interaction that people will have to accept. So read on for some disadvantages of technology in the classroom (and potential solutions). Researchers have identified several major hurdles in deploying cognitive computing, particularly when it comes to integrating software-based cognitive systems with the appropriate computer hardware and cultivating the connection between feeling, knowing, and thinking within systems. The point is that the technology will ease the burden and workload of teachers as they can refer the query to their cognitive assistant. These memory structures perceive, process, store for short- or long-term recall and retrieve information. We shouldnt lose the art of conversation and talking in person. Below are the disadvantages of cognitive computing: 1. In particular, cognitive computing systems can be regarded as a "more human" artificial intelligence. Teachers taking advantage of technology have the same amount of face-to-face instruction time but may need to do more planning, placing an extra strain on their workload. How artificial intelligence can build a sustainable future. Teaching with Technology Metaverse avatars can assist students in exploring virtual learning environments so they feel safe, empowered, and engaged. Altering management is also a difficulty as this technology possess the ability to learn like humans and react just as naturally. Good teachers make this job look effortless, and frequently do so. Game-based learning: used to facilitate immersive games-based learning by creating a digital narrative, assigning a role to students, providing authentic resources and embedding contextually relevant information. But the advantages vastly outweigh the disadvantages of technology in the classroom. Booch, G. (2011), The soul of a new Watson, IEEE Software, 28(4), 9-10. This can be useful in security systems, such as to unlock a mobile phone. Kobylinski, K., Bennett, J., Seto, N., Lo, G. And Tucci, F. (2014), Enterprise application development in the cloud with IBM Bluemix, in Proceedings of the 24th Annual International Conference on Computer Science and Software Engineering (CASCON 14), 276-279. According to Gartner, cognitive computing will disrupt the digital sphere unlike any other technology introduced in the last 20 years. Inspired by biological networks found in the human brain, an artificial neural network is a computing system that interprets data to categorize, find patterns, and identify relationships. However, there is one prevalent problem concerning digital equity. through the use of self-learning algorithms that use data mining, pattern At the same time, it is essential to have a data privacy framework that will further boost adoption of cognitive computing. Students have less need to verbally communicate and interact with their teachers and one another when using technology. Once the details are taken from the student, there would be a waiting period before the student learns about the outcome of their application.