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Analyze the research that has been amassed concerning which age is more effective to introduce artificial intelligence computers for learning. Investigate both positives and negatives of teaching with computers that have artificial intelligence. Refine the meaning of economic advantages to more affluent learning institutions. Determine the expanded opportunities and resources to individuals who enroll in on-line courses. Explore social implications of learning on-line versus on ground classes. Evaluate the overall economic impact that on-line studies have on brick and mortar institutions of higher learning. Profitability of on-line courses presents to the institutions that offer them. Address the root cause of the growing popularity of on-line learning. Prognosis as to where on-line learning maybe going in the current technology rich society.

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The new wave of learning has begun. Today when we send our children to school, they already have a background in computers that have use artificial intelligence (AI). A good example for the very young would be Fisher-Price Fun-2-Learn Color Flash Laptop or their Cool School computers. These are basic computers with not much artificial intelligence built-in, they’re more like training wheels for computers. This strongly suggests that the age of familiarizing children to computers is when the parent believes it’s appropriate. As your child moves up in age, you can download apps like, iWriteWords. This app allows tailored learning for their child’s needs by allowing the parent to monitor development by enabling them to play back what their child has done and measure progress and needs. Many studies performed have addressed the impact that AI computers are having on our whole society. Like the one that talked about AI as a game changer in education. “Education and AI can be seen as two sides of the same coin: education helps students learn and extend the



References: Dellana, S. A., Collins, W. H., & West, D. (2000). On-Line Education in a Management Science Course--Effectiveness and Performance Factors. Journal Of Education For Business, 76(1), 43. Han, H. Y. (2009). Relationship between students ' emotional intelligence, social bond, and interactions in online learning. (Order No. 3392060, University of Illinois at Urbana-Champaign). ProQuest Dissertations and Theses, , 141-n/a. Retrieved from http://ezproxy.sckans.edu/login?url=http://search.proquest.com/docview/304899697?accountid=13979. (304899697). Huang, W., Yen, D. C., Lin, Z. X., & Huang, J. H. (2004). How to compete in a global education market effectively: A conceptual framework for designing a next generation eEducation system. Journal of Global Information Management, 12(2), 84-107. Retrieved from http://ezproxy.sckans.edu/login?url=http://search.proquest.com/docview/195151661?accountid=13979 Woolf, B. P., Lane, H. C., Chaudhri, V. K., & Kolodner, J. L. (2013). AI grand challenges for education. AI Magazine, 34(4), 66-84. Retrieved from http://ezproxy.sckans.edu/login?url=http://search.proquest.com/docview/1490901631?acc

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