Overview looking forward: what will information and communications technology be like 10 years from now? what will the computational and social environment.

Slides:



Advertisements
Similar presentations
A Link to the Future Where is Education Going with Technology?
Advertisements

A Masters in Education in eLearning The University of Hull.
Map of Human Computer Interaction
Linking the Fairs to the 2013 Ontario Curriculum Social Studies 1 to 6 and History and Geography 7 and 8.
Graduate Expectations. Critical Thinking & Life Management. IBT graduates are expected to: identify and demonstrate the essential employability skills.
A Multi-Agent Design of a Peer- Help Environment Julita Vassileva Computer Science Department University of Saskatchewan.
An Introduction to Information Systems in Organizations
Lecture 13 Revision IMS Systems Analysis and Design.
Overview of Software Requirements
Microsoft 2013 All Rights Reserved. Partners in Learning School Research Background.
CSC230 Software Design (Engineering)
Milorad Tosic, Nadezda Stojkovic, Valentina Nejkovic University of Nis, Faculty of Electronic Engineering OPEN ONLINE ENGLISH FOR SPECIFIC PURPOSES.
IST and Tourism cross fertilisation Information Society Technologies for Tourism Brussels, 9th July 2001.
1-Experiential Learning The World Wide Web makes it possible for students to tackle a huge amount of human experience. In such a way, they can learn by.
Basic Concepts The Unified Modeling Language (UML) SYSC System Analysis and Design.
THE CHALLENGES AND OPPORTUNITIES OF INTRODUCING NEW TAUGHT PROGRAMMES Colin Ashurst.
 A set of objectives or student learning outcomes for a course or a set of courses.  Specifies the set of concepts and skills that the student must.
International perspectives on e- learning: mapping strategy to practice Gráinne Conole Towards a pan-Canada e-learning research agenda.
Module 3: Business Information Systems Chapter 11: Knowledge Management.
Margaret J. Cox King’s College London
21st Century Skills Initiatives
Fundamentals of Information Systems, Second Edition 1 Information Systems in Organizations.
S/W Project Management Software Process Models. Objectives To understand  Software process and process models, including the main characteristics of.
Communities, Individuals, and New Technologies: Gord McCalla ARIES Laboratory Department of Computer Science University of Saskatchewan Saskatoon, Saskatchewan.
ELearning Design After your analysis, prepare for delivery.
1 CS 456 Software Engineering. 2 Contents 3 Chapter 1: Introduction.
What is software? Software is a set of items or objects that form a configuration that includes: –Programs –Documents –Data.
GeSCI-PanAf Workshop, 26 May 2010 eLearning-Africa 2010, Lusaka Copyright 2010 CIT-NUR Thinking and Learning in Computer-supported Social Practice Evode.
Motivation: a construct used to explain the initiation, direction, & intensity of an individual’s behavior in a particular situation Theories of Motivation.
Computer Science Studies and Distance Education Unique Aspects Wingate Seminar London May 2005.
Software Requirements Engineering CSE 305 Lecture-2.
Connecting Teachers Can there be models of effective practice for teachers with ICT? Chair: Christine Vincent, Becta Presenter: Margaret Cox King’s College.
Presidential National Commission on Information Society and Development (PNC on ISAD)  Government commitment to information society Accelerated Shared.
BUSINESS INFORMATICS descriptors presentation Vladimir Radevski, PhD Associated Professor Faculty of Contemporary Sciences and Technologies (CST) Linkoping.
Rethinking Teaching using ICT and Action Research Margaret Farren Computer Applications February 28th, 2002.
OBJECT ORIENTED SYSTEM ANALYSIS AND DESIGN. COURSE OUTLINE The world of the Information Systems Analyst Approaches to System Development The Analyst as.
Cell Phones In School Ryan Hoins Period 3. Opinion  Cell phones provide a way for students to interact with one another, we need to allow cell phones.
“Tele” = at a distance (far) Collaboration = co-labor (shared labor) Tele-collaboration = sharing labors at a distance Telecollaboration.
Chapter 10 Technology in Language Arts and Foreign Language Instruction Presented by: Melissa Dzubinski, Elizabeth Climer & Brandie Wolfe.
Information System Development Courses Figure: ISD Course Structure.
TOOL5100: CSCL Relating CSCW to CSCL A. Mørch, Relating CSCW to CSCL Anders Mørch TOOL 5100,
Using virtual collaboration tools for designing innovative education scenarios Gabriel Dima University “Politehnica” of Bucharest, Romania.
THE 21 ST CENTURY LEARNER Four Key Pillars of Education: Learning to Know Learning to do Learning to be Learning to Live Together UNESCO’S Commission on.
The Future of Online Learning for Teachers and Students Chris Dede Harvard University
P2P Interaction in Socially Intelligent ICT David Hales Delft University of Technology (Currently visiting University of Szeged, Hungary)
The roots of innovation Future and Emerging Technologies (FET) Future and Emerging Technologies (FET) The roots of innovation Proactive initiative on:
What IS a Journeyman Programmer? Why this program?
Illustrations and Answers for TDT4252 exam, June
Engagement in Learning Marian A. Ford EDHE Class Agenda Engagement Theory Experimental Learning Theory Cognitive Apprenticeships/Internships Study.
1 Software Engineering Ian Sommerville th edition Instructor: Mrs. Eman ElAjrami University Of Palestine.
CALL classroom atmosphere Leon Piasetski Matsuyama University.
EDUCATIONAL TECHONOLOGY & INNOVATIVE TEACHING
The 21 st Century Learner Siegfried Ramler IFE 2020 March 3, 2009.
E-Commerce Prof. Ir. Kudang B. Seminar, MSc, PhD Direktur Komunikasi & Sistem Informasi IPB Bogor, 12 Nopember 2008.
March E-Learning or E-Teaching? What’s the Difference in Practice? Linda Price and Adrian Kirkwood Programme on Learner Use of Media The Open University.
Creating a Comprehensive Global Community of Practice Inga Keithly
Lecture 9-1 : Intro. to UML (Unified Modeling Language)
Chapter 1 Overview of Electronic Commerce. Learning Objectives 1. Define electronic commerce (EC) and describe its various categories. 2. Describe and.
Understanding User's Work Ethnography The systematic study and documentation of human activity without imposing a prior interpretation on it via immersion.
Introduction Complex and large SW. SW crises Expensive HW. Custom SW. Batch execution Structured programming Product SW.
The article collection PRIS F7 Fredrik Kilander. Content “On agent-based software engineering” Nick Jennings, 1999 “An agent-based approach for building.
© 2009 McGraw-Hill Higher Education. All rights reserved. 1 CHAPTER 10 Social Constructivist Approaches © 2011 McGraw-Hill Higher Education. All rights.
Electronic Business: Concept and Applications Department of Electrical Engineering Gadjah Mada University.
Charlotte Nirmalani Gunawardena, Regents’ Professor, University of New Mexico, USA PARADIGM SHIFT TO ONLINE LEARNING: FACILITATING A LEARNING COMMUNITY.
Design Engineering 1. Analysis  Design 2 Characteristics of good design 3 The design must implement all of the explicit requirements contained in the.
PLANNING AND DESIGNING A RESEARCH STUDY
Organization and Knowledge Management
Project-Based Learning
Information system analysis and design
Presentation transcript:

Overview looking forward: what will information and communications technology be like 10 years from now? what will the computational and social environment be like, under the impact of the information revolution? culture, information and knowledge flow, technology a brief look at a system that is consistent with this kind of computational and social environment I-Help Keywords: localization, relativity, fragmentation, reactivity, context, emergent behaviour, robustness, adaptivity, individualization

The Information Revolution the information revolution is just getting underway coming soon: - the billion channel universe - radical impact of information technology on work and play - major paradigm shifts in all areas of intellectual enquiry - information technology pervasively part of our life - fundamental shift in our perspectives of ourselves in relation to the world will lead to the fragmentation of - culture - information and knowledge flow - technology

Fragmentation of Culture people need to put up barriers to stay sane localized perspective on cyberspace: the electronic village each person’s village will be unique: relativistic, not global village will share many of the characteristics of a real village: neighbours, professionals, friends, community organizations, markets (for information) person will only know something when it comes into their village

Fragmentation of Culture each village will overlap a wider world a person will also be part of many virtual communities extending beyond their village boundaries: explicit and implicit - each focussed on its own issues - each with its own “language” and “culture” - overlapping each other - each person a member of many such communities information and knowledge will flow in and out of most such communities

the electronic village virtual communities

Fragmentation of Information and Knowledge Flow information flows at the speed of light, knowledge at the speed of human understanding flow between communities - identifying the information/knowledge to be spread - supporting its spread: finding collaborators to foster understanding between communities (diplomats, negotiation) flow within a community - top down from community leaders and those bringing in outside information/knowledge (teachers, apprenticeship) - collaboratively through internal debate - immersing new village members in community culture

flow between communities

Fragmentation of Information and Knowledge Flow information flows at speed of light, knowledge at the speed of human understanding flow between communities - identifying the information/knowledge to be spread - supporting its spread: finding collaborators to foster understanding between communities (diplomats, negotiation) flow within a community - top down from community leaders and those bringing in outside information/knowledge (teachers, apprenticeship) - collaboratively through internal debate - immersing new village members in community culture

flow within a community: top-down from elders

Fragmentation of Information and Knowledge Flow information flows at speed of light, knowledge at the speed of human understanding flow between communities - identifying the information/knowledge to be spread - supporting its spread: finding collaborators to foster understanding between communities (diplomats, negotiation) flow within a community - top down from community leaders and those bringing in outside information/knowledge (teachers, apprenticeship) - collaboratively through internal debate - immersing new village members in community culture

flow within a community: collaboration

Fragmentation of Information and Knowledge Flow information flows at speed of light, knowledge at the speed of human understanding flow between communities - identifying the information/knowledge to be spread - supporting its spread: finding collaborators to foster understanding between communities (diplomats, negotiation) flow within a community - top down from community leaders and those bringing in outside information/knowledge (teachers, apprenticeship) - collaboratively through internal debate - immersing new village members in community culture

flow within a community: cultural immersion

Fragmentation of Information and Knowledge Flow cultural fragmentation means information/knowledge flow will be partitioned and fragmented pervasiveness of information technology means many activities will be “on-line”: new things can be understood as needed in small chunks, in the context of on-going activities: just in time action/knowledge human experts will often be needed, to help integrate knowledge with culture, to help translate knowledge into terms appropriate to people in other communities each person can be an expert or novice, depending on the situation: fragmentation of roles

Fragmentation of Technology: Software Without Boundaries the boundaries of a software system will be indefinite software will be fragmented into many quasi-independent entities (agents) many of these software entities will come from outside a particular application “package” behaviour of such software systems will be emergent, like an ecosystem, fundamentally unpredictable distinction between procedures and data, hardware and software will blur software will exist simultaneously at many levels of detail software will be embedded in a complex social environment

Fragmentation of Technology: Software Without Boundaries software will take on a particular coherence only relative to end use as defined by the communities in which it is used, and the goals of the people using it a system to support humans, therefore, will only be meaningfully identifiable in terms of its end goals - system that helps a learner - system that helps somebody search the web - system that supports a software engineer in building new embedded applications - system that supports an accountant preparing tax returns …….

emergent behaviourfragmented technology complex social embeddingend use determines coherence

The I-Help System (Greer, McCalla, Vassileva, Deters, Kettel, Bull, …….) aimed at providing peer help and other help while learners actually solve problems, in school or the workplace: just-in-time, contextualized several sub-systems (and more to come) - public discussion (PDF): open peer forums (aka CPR) - peer helper finding: IKE (office) and “1-2-1” (university courses) - HA: helping the helper underlying agent architecture - MAGALE agent environment - personal agent for every learner - I-Help economy: ICU’s, to aid motivation, resource allocation various versions tested, in university and workplace many graduate student thesis projects exploring aspects of this architecture

I-Help ? PDF WEB ? MATCHMAKER ? HA

Conclusion important technology issues - dealing with inconsistent and incomplete information/knowledge - individualizing and customizing systems - fostering and supporting collaboration - computing under resource constraints - tracking change - understanding context - making systems easy to use, especially for novices - developing and using distributed systems - integrating intelligent memory management techniques - finding techniques for robust computing - localizing failure

Conclusion some important social issues –geographic globalization vs social localization: which wins? –ownership: who owns a particular piece of software when it is distributed over the entire internet? –responsibility: who takes responsibility for software failures? –integration: how will all these fragmented systems integrate with the social systems in which they are embedded? –preventing chaos: how to localize the system errors that will be inherent in these distributed social/technological systems? –local action with global effect: anybody can design/influence the software/social environment by building a component and letting it loose on the world –managing change: technology changes will stimulate change in society and vice versa, with unpredictable feedback loops –integration of computer science with all other areas of human endeavour: business, social interaction, arts, communication, economics, engineering, …: is everything computer science?