DIGITAL LIBRARY
LEARNING BY HUMANS, NOT BY ROBOTS: ARTIFICIAL INTELLIGENCE, PERSONALIZED LEARNING AND PUBLIC INTEREST
Hellenic Open University (GREECE)
About this paper:
Appears in: EDULEARN20 Proceedings
Publication year: 2020
Page: 6039
ISBN: 978-84-09-17979-4
ISSN: 2340-1117
doi: 10.21125/edulearn.2020.1582
Conference name: 12th International Conference on Education and New Learning Technologies
Dates: 6-7 July, 2020
Location: Online Conference
Abstract:
Higher education serves a variety of purposes, but robots are challenging traditional learning models in the digital era. In the second decade of the twenty-first century higher education wakes up to the artificial intelligence robots’ ecosystem, so confused by personalized learning and artificial intelligence education platforms, trying to understand its role in the digital era. The advance of robots over the past two decades has opened new opportunities and offers the potential for digitalizing higher education’s teaching and research activities in global education ecosystems.

Artificial intelligence (AI) and robots together with personalized learning have challenged irrevocably not only the representative education, teaching systems and research activity but also the role of global regulatory mechanisms and human learning ability in our higher education systems. Within this context, Google and NASA are developing research labs i.e. Quantum Artificial Intelligence Lab and research projects to explore using our computer for AI applications and to investigate a set of learning problems in the info-communication globalization.

This paper examines and analyses artificial intelligence, robots and human learning activities together with the role of automatic decision-making algorithms to teach in our higher education systems. It considers critical questions regarding the role of big tech companies in higher education systems, global regulation on penalized learning, ethical standards, public interest and distance learning ecosystems. It examines the need for personalized learning in higher education systems. It analyses the ‘Surplus Value of Personalised Responsibility Paradigm’ and the ‘Dynamic Intelligence Culture of Education’ (D.I.C.E) model. Finally, it outlines the D.I.C.E model together with the global regulatory model ‘Dynamic Process and Product Regulation’ (D.P.P.R) as methodological tools to analyze humans and robots’ responsibilities in the digital higher education platforms.
Keywords:
Personalized learning, robots, higher education, artificial intelligence, distance learning, the culture of education, personalized responsibility.