The formation of human capital is key to countries’ social, cultural and economic development. The current literature pays considerable attention to the ever-increasing proliferation of technology in the careers of college and graduate school. While the presence of educational technology in higher education offers multiple benefits, its implementation also presents challenges. The literature has considered multiple tools for improving learning processes. The results of such tools vary and are difficult to measure in terms of quality. In this document, we analyze the issues surrounding educational technology in higher education.
As a result of contemporary culture’s focus on continuous innovation and “change before you have to,” innovation has been identified with economic gains rather than with creating added value for society. At the same time, given current trends related to the automation of business models, workers seem all but destined to be replaced by machines in the labor market. In this context, we attempt to explore whether robots and Artificial Intelligence (AI) will be able to innovate, and the extent to which said activity is exclusively inherent to human nature. Following the need for a more anthropological view of innovation, we make use of MacIntyrean categories to present innovation as a domain-relative practice with creativity and practical wisdom as its corresponding virtues. We explain why innovation can only be understood within a tradition as it implies participating in inquiry about the principle and end of practical life. We conclude that machines and “intelligent” devices do not have the capacity to innovate and they never will. They may replicate the human capacity for creativity, but they squarely lack the necessary conditions to be a locus of virtue or engage with a tradition.
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