A Study on the Direction of Technology Education in the Age of Artificial Intelligence

2020 ◽  
Vol 33 (4) ◽  
pp. 81-102
Author(s):  
Mika Lim
10.28945/3028 ◽  
2006 ◽  
Author(s):  
Mahendrenath Motah

Over the past decades Information Technology has made a tremendous impact on the lives of humans, so much so, that one can safely state that humans eat, breathe and live IT. Each and every aspect of the life of those living in the “modern” world is under the spell of IT. The talk of the day is E-economy, E-education, E-commerce, E-finance, E-government, E-entertainment, E-communication, E-mail; E-learning.. ..the world we are living in has become an E-world. In this whirlpool, many are still groping in the dark while a lot more have kept the pace in both developed and developing countries. The impact of the E thing and IT has attained such dimensions that concepts like cognition, cognitive development, fluid intelligence, crystallized intelligence, emotional intelligence, memory, learning, sensation and perception, and other related terms used to qualify, quantify and explain human experiences have become almost empty concepts in the face of what is nowadays known as artificial intelligence. This paper aims to analyse the biological, physiological and psychological aspects of memory and learning and to critically look at the impact of Information Technology Education and Information Technology in the every day dealings of humans. It also aims to be a thought provoking piece of work, to the scientific minds working on Artificial Intelligence, Robotics, Computers and derivatives, and all the perspectives that Artificial Intelligence offers to humanity, not forgetting that “the human mind and natural intelligence is behind it all”.


2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Henriikka Vartiainen ◽  
Matti Tedre ◽  
Ilkka Jormanainen ◽  
Juho Kahila ◽  
Teemu Valtonen ◽  
...  

Tekoälyn ja erityisesti uudet koneoppimisen tekniikat ovat teknologisen murroksen keskeisiä ajureita. Tänä päivänä koneoppiminen on myös yhä enemmän sulautumassa osaksi kehollista ja materiaalista maailmaa sekä vuorovaikutusta. Antureiden, verkkoyhteyksien ja tietokoneohjelmistojen kautta rakennukset, esineet ja tekstiilit ovat muuttumassa älykkäiden esineiden ja toimintojen verkostoiksi. Virtuaalisen, materiaalisen ja kehollisuuden uudenlainen kohtaaminen tarjoaa myös ennennäkemättömiä mahdollisuuksia sekä haasteita koneoppimisen sekä datalähtöisen suunnittelun ja innovoinnin tukemiseen kouluopetuksessa. Tämän artikkelin tavoitteena on rakentaa näkökulmia datatoimijuuteen sekä datalähtöiseen design-ajatteluun koneoppimisen muovaamassa maailmassa.  Artikkeli esittelee digitaalisen, materiaalisen sekä kehollisuuden uudenlaisia mahdollisuuksia sekä riskejä, joka tuo koneoppimisen ajamaan murrokseen liittyviä näkökulmia osaksi käsityön ja teknologiakasvatuksen tulevaisuudesta käytävää tieteellistä ja julkista keskustelua.   Artificial intelligence, machine learning, and technological transformation: Towards data agency and design skills for the future Abstract Artificial intelligence, and especially new machine learning technologies, are key drivers of technological breakthroughs. Today, machine learning is also increasingly merging into the physical and material world as well as into social interaction. Buildings, artifacts, and textiles are transforming into networks of smart objects and activities through sensors, network connectivity, and computer software.  These novel encounters of virtual, material, and bodily interactions also offer unprecedented opportunities and challenges to enhance understandings of machine learning and data-driven design in school education. This article aims to build perspectives on data agency and data-driven design needed in the age of machine learning. It also provides perspectives on the blurring boundaries of virtual, material, and physical worlds and in a manner that brings the breakthrough of machine learning into the scientific and public discussion about the future of craft and technology education. Keywords: artificial intelligence, machine learning, data-driven design, technology education, skills for the future


Author(s):  
David L. Poole ◽  
Alan K. Mackworth

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