scholarly journals An interview with Keri Facer

2014 ◽  
pp. 3-6

In this interview set asks Keri Facer, author of Learning Futures: Education, Technology, and Social Change (2011), about her ideas and what keeps her optimistic about the future. Her book makes a powerful case for reimagining the role of education in response to environmental, social and technological changes. She advocates for schools to be at the centre of “future-building” work in their communities.

2005 ◽  
Vol 24 (3) ◽  
pp. 123 ◽  
Author(s):  
Hilda Kruger

<span>The fast and continuous technological change that is characteristic of the information society we find ourselves in has demonstrable impact on the way librarians go about their business. This paper offers a scenario of technological changes already in the pipeline and yet to come, and how those changes will impact the role of librarians in the future. One of the main concerns of this paper is the continued relevance of information professionals as infomediaries in our future society.</span><div><span style="color: #303030; font-family: 'Helvetica Neue', arial, sans-serif; font-size: 13px;"><br /></span></div>


Author(s):  
John Danaher

Human societies have, historically, undergone a number of moral revolutions. Some of these have been precipitated by technological changes. Will the integration of robots into our social lives precipitate a new moral revolution? In this keynote, I will look at the history of moral revolutions and the role of techno-social change in facilitating those revolutions. I will examine the structural properties of human moral systems and how those properties might be affected by social robots. I will argue that much of our current social morality is agency-centric and that social robots, as non-standard agents, will disrupt that model.


1983 ◽  
Vol 31 (1) ◽  
pp. 4
Author(s):  
Douglas A. Grouws

The way mathematics instruction accommodates the large technological changes sweeping society will profoundly affect the ability of young people to adjust to everyday life situations and perform efficiently in the skilled professions of the future. In particular, continued thoughtful attention must be given to the role of microcomputers in all aspects of the teaching of mathematics. Many significant issues in this area will need to be discussed and important decisions made in the months ahead. We need to set high expectations in these discussions and the decisions that follow from them. Settling for what can be done easily or selling short the talents of our students or our colleagues will be a mistake.


2011 ◽  
Vol 50 (2) ◽  
pp. 181-182
Author(s):  
Zain Rafique

Learning Future, Education, Technology and Social Change by Keri Facer is an informative book drawing on over 10 years of research on digital technologies, social change and education. The writer makes a compelling argument for thinking differently about the future for which education might need to prepare. Packed with case studies from around the world, the book helps to bring into focus the risks and opportunities for societies and for schooling over the coming two decades. Most people recognise that current education systems are not meeting the needs of individuals and ‘society’ and several books have been written on the future of education. In this context, Keri Facer investigates the scenario of education, technology and social change over the coming two decades by considering nine assumptions about socio-technological change. These include that in next 20 years there would be significantly increased computing and communication at a distance will be taken for granted by the large majority of people. Moreover, working and living alongside sophisticated machines and networks will increasingly be taken for granted and biosciences will produce unpredictable breakthroughs and important new stories about us. Population is ageing globally and energy, mineral resources and climate warming will remain significant issues. And finally we will be facing radical national and global inequalities.


1970 ◽  
pp. 427-436
Author(s):  
Elanit Ayzik

The article presents different definitionsfrom different disciplines for the concept of “Awareness” and the central role of science in shaping the way teachers think and change their perceptions. In a period of the lack of stability, diversity, and heterogeneity in academic, cultural, and socioeconomic terms, teaching and education become a complicated and demanding tasks for the teacher. The teacher who meets the complex educational challenges findsit difficultto adjust to accelerated and endless social, scientific,and technological changes and to change the perception of his role from a source of knowledge to a transfer of knowledge. Most teachers of our time were not trained to be conscious of the influencesof globalization on the lives of the students and communities, differences, equality, and globalization that characterize society as a whole and are required of the teachers in society of our time. The author definesthe teachers’ consciousness as an Interdisciplinary Category. The increase of the teachers’ awareness of the processes of thinking and doing, as a result of the internal and external events around them, may help teachers map their abilities, needs, and expectations, understand the factors of their behavior, plan their course for the future, and definefor themselves goals commensurate with the requirements. The awareness grants the teachers an opportunity to take responsibility over the knowledge and thus may change the school experience.


1975 ◽  
Vol 3 (1) ◽  
pp. 65-72
Author(s):  

AbstractThis paper examines the role of utopias in social planning in the four Southeast Asian nations of Burma, Indonesia, Malaysia and Singapore. Southeast Asian utopias are generally incomplete and are represented by vague though highly agreeable images of the future. Nevertheless they give direction to and help to legitimate social planning efforts. They are no mere "castles in the air" but represent future hopes for the mosses. They help to solicit mass participation and support for social planning efforts. They are symbolic of a brighter tomorrow in these nations. Even if they can never be achieved, Southeast Asian utopias gained sufficient merit as factors promoting social change through their impacts on various planned development efforts.


Author(s):  
Hannu Jaakkola ◽  
Bernhard Thalheim

Data (conceptual, data, information, knowledge) modelling is still the work of an artisan, i.e. an art in the best case, made by humans, because of the need for human intelligence. Data modelling is an essential part of Information System (IS) design, specifying how data is implemented as part of an IS. The principles of data modelling follow the evolution of IS development paradigms, and these in turn follow the progress of technological changes in computing. Although technology has changed a lot during the decades of commercial use of computers – since the early 1950s to now, close to 70 years – data modelling is still based on the same basic principles as decades ago. Or is it really so? Finding the answer to this question was the main motivation to start writing this paper. Since the future is more interesting than the past, we set our research problem to be “What are the challenges for data modelling in the future?”. The reason for this is that we see some significant changes in the future in the data modelling sector which we wanted to examine. However, the future is a continuum of the past. The future cannot be fully understood without understanding the past. Humans also tend to forget the details of the past. Even the most remarkable innovations from the past have become part of the new normal. Consequently, at the beginning of our paper we look shortly at the progress of data modelling during the era of commercial computing. Our focus is on the recent past and we look at the technological changes that have been of key importance in data modelling in the role of triggers and enablers. To find the answer to our research question, we retrieved some recent studies handling the future of data modelling and analyse the challenges found in these sources. The paper is concluded by some future paradigms. In general, the big changes seem to be the growing importance of Artificial Intelligence (AI) and machine learning (ML) as its fuel. AI not only conducts algorithmic rule-based routines, it has learning capability, which makes it more intelligent and adaptable, and able to compete with human intelligence, even in data management tasks.


2017 ◽  
Vol 225 (3) ◽  
pp. 189-199 ◽  
Author(s):  
Tina B. Lonsdorf ◽  
Jan Richter

Abstract. As the criticism of the definition of the phenotype (i.e., clinical diagnosis) represents the major focus of the Research Domain Criteria (RDoC) initiative, it is somewhat surprising that discussions have not yet focused more on specific conceptual and procedural considerations of the suggested RDoC constructs, sub-constructs, and associated paradigms. We argue that we need more precise thinking as well as a conceptual and methodological discussion of RDoC domains and constructs, their interrelationships as well as their experimental operationalization and nomenclature. The present work is intended to start such a debate using fear conditioning as an example. Thereby, we aim to provide thought-provoking impulses on the role of fear conditioning in the age of RDoC as well as conceptual and methodological considerations and suggestions to guide RDoC-based fear conditioning research in the future.


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