WE NEED A CUMULATIVE AND SYSTEMIC APPROACH TO HANDLE AUTONOMOUS INTELLIGENT EDUCATIONAL SYSTEMS
Autonomous and intelligent solutions, based on data collection and Artificial Intelligence, increasingly permeate our daily lives, and the benefits of time, cost, and scale can already be seen. Nevertheless, what are its possible implications in a complex field such as Education? The so-called Edtech, through technologies such as Intelligent Tutoring Systems and Adaptive Platforms, evolves to become able to record, evaluate and predict the cognitive and emotional behavior of students and provide answers and personalized learning paths with little or no human participation. Many authors question this scenario, pointing out doubts and inconsistencies in, for example, treating the subjective process of human formation in an essentially mathematical, objective way. Considering the fundamental importance of Education for society as a whole, this article proposes a (self) critical discussion and two questions: in a human-centered approach, what are the implications for UX, Ergonomics, and Design professionals when designing and evaluating these systems and solutions? Moreover, since autonomous and predictive Education is complex and delicate, shouldn´t these people handle it through more systemic and continuous approaches?
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