Design Science Of Learning - Presentation Transcript
Towards an Interdisciplinary Design Science of Learning Mike Sharples Learning Sciences Research Institute University of Nottingham
Global issues
Climate change
Energy shortage
Pandemics
Terrorism
Cultural tension
Education for a inter-connected world
Demand global responses
Global Reponses World climate research programme http://wcrp.wmo.int/About_Aims.html
The World Climate Research Programme...is uniquely positioned to draw on the totality of climate-related systems, facilities and intellectual capabilities of more than 185 countries . Integrating new observations, research facilities and scientific breakthroughs is essential to progress in the inherently global task of advancing understanding of the processes that determine our climate
To achieve its objectives, the WCRP adopts a multi-disciplinary approach , organizes large-scale observational and modelling projects and facilitates focus on aspects of climate too large and complex to be addressed by any one nation or single scientific discipline .
[It is] designed to improve scientific understanding and knowledge of processes that in turn result in better forecasts and hence benefits to users of climate research
A global research programme in education for an inter-connected world?
Draws on the totality of systems , facilities and intellectual capabilities of many countries
Integrates new observations , research facilities and scientific breakthroughs
Takes a multi-disciplinary approach
Carries out large-scale observational and modelling projects
Focuses on aspects too large and complex to be addressed by any one nation or single scientific discipline
Improves scientific understanding and knowledge of processes that result in benefits to users
Rich learning interactions in the traditional classroom Teacher led Simulation and role-play Collaborative New media Resource-based
What’s new: Not new learning, but new mediations, by personal and collaborative technologies, across contexts and cultures
New complexities of learning
New interactions
Mediation of technology
Between learners, education institutions, commercial providers
New connections
Learning at a distance
Learning between formal and informal settings
New opportunities
Trans-national learning
Massively social learning
Mobile and contextual learning
Life-long and life-wide learning
New Science of Learning
Computational learning
Infer structural models from the environment
Learn from probabilistic input
Social learning
Learning by imitation
Shared attention
Neural learning
Learning supported by brain circuits that link perception and action
Developmental learning
Behavioural development
Neural plasticity
Teaching and learning
Principles of effective teaching
Contextual and temporal learning
Learning within and across contexts
Cycle of engagement and reflection
Technology-enabled learning
Learning as a distributed socio-technical system
A.N. Meltzoff, P. K. Kuhl, J. Movellan, & T. J. Sejnowski (200) Foundations for a New Science of Learning, Science 325 (5938), 284.
New Science of Learning
Computational learning
Infer structural models from the environment
Learn from probabilistic input
Social learning
Learning by imitation
Shared attention
Neural learning
Learning supported by brain circuits that link perception and action
Developmental learning
Behavioural development
Neural plasticity
Teaching and learning
Principles of effective teaching
Contextual and temporal learning
Learning within and across contexts
Cycle of engagement and reflection
Technology-enabled learning
Learning as a distributed socio-technical system
A.N. Meltzoff, P. K. Kuhl, J. Movellan, & T. J. Sejnowski (200) Foundations for a New Science of Learning, Science 325 (5938), 284. “ Insights from many different fields are converging to create a new science of learning that may transform educational practice” Meltzoff et al., p284
New Science of Learning
Computational learning
Infer structural models from the environment
Learn from probabilistic input
Social learning
Learning by imitation
Shared attention
Neural learning
Learning supported by brain circuits that link perception and action
Developmental learning
Behavioural development
Neural plasticity
Teaching and learning
Principles of effective teaching
Contextual and temporal learning
Learning within and across contexts
Cycle of engagement and reflection
Technology-enabled learning
Learning as a distributed socio-technical system
A.N. Meltzoff, P. K. Kuhl, J. Movellan, & T. J. Sejnowski (200) Foundations for a New Science of Learning, Science 325 (5938), 284. “ A key component is the role of ‘the social’ in learning. What makes social interaction such a powerful catalyst for learning?” Meltzoff et al., p288
Interdisciplinary science of learning Changing behaviour Neuroscience Behavioural science Enhancing skills Cognitive development Storing information Cognitive sciences Gaining knowledge Cognitive sciences Epistemology Making sense of the world Social sciences Socio-cultural and activity theory Interpreting reality in a different way Phenomenology
Interdisciplinary design science of learning
How do people learn as individuals, groups, organisations, societies?
How can we design and share effective systems for learning?
How can we evaluate the success of learning?
Across contexts, throughout a lifetime
Design-based research
“ A systematic but flexible methodology aimed to improve educational practices through iterative analysis , design , development , and implementation , based on collaboration among researchers and practitioners in real-world settings , and leading to contextually-sensitive design principles and theories ”
Wang, F., & Hannafin, M. J. (2005). Design-based research and technology-enhanced learning environments. Educational Technology Research and Development, 53 (4), 5-23.
Benefits of DBR
Problem driven
Not only understand, document, and interpret, but also change and improve
Systematic exploration of a space of possible designs
Combines engineering and evaluation
The designed context is subject to test and revision, and the successive iterations that result play a role similar to that of systematic variation in experiment
Problems of DBR
Can be lengthy
How to systematically explore a space of possibilities
Can lead to ‘hillclimbing’ exploration that misses ‘other peaks’
Systematic exploration of a design space L. Meshkat, M. Feather, S. Prusha, Decision & Risk Based Design Structures: Decision Support Needs for Conceptual, Concurrent Design
Elements of an interdisciplinary design science of learning
Design oriented
Aim is to improve learning, not just to describe it
Systematic exploration of a space of possible designs for learning interventions
Theory informed
Based on well-founded theories of learning and teaching
Scalable
From single classroom, to cross-national learning
Pragmatic
Concerned with improvement of everyday learning
Appropriate mix of design and evaluation methods
Interdisciplinary
Integrates neural, cognitive, social and cultural aspects of learning
Collaborative
Shared representations of learning processes, design patterns
Shared tools
Human-centred
Users as informants, while recognising limitations of user-centred design and need for design expertise
Iterative
Cycle of design, intervention and evaluation
Evaluated
Lifecycle evaluation
Ethical
Ethics an integral part of the design process
Socio-cognitive Engineering A scalable method for design-based learning research General requirements Theory of Use Design Concept Contextual Studies Task model Design space System specification Implementation Deployment Evaluation Sharples, M., Jeffery, N., du Boulay, J.B.H., Teather, D., Teather, B., and du Boulay, G.H. (2002) Socio-cognitive engineering: a methodology for the design of human-centred technology. European Journal of Operational Research 136, 2, pp. 310-323.
Socio-cognitive Engineering Example of use in the MOBIlearn project (www.mobilearn.org) General requirements Theory of Use Design Concept Contextual Studies Task model Design space System specification Implementation Deployment Evaluation Theory of learning for the mobile world OMAF design framework for mobile learning Lifecycle evaluation Studies of informal learning practices General requirements for a mobile learning platform M-learning task model MOBIlearn system Deployed in Uffizi Gallery, Nottingham Castle Museum
Lifecycle evaluation
Micro level: Usability issues
technology usability
individual and group activities
Meso level: Educational Issues
learning experience as a whole
classroom-museum-home continuity
critical incidents: learning breakthroughs and breakdowns
Macro level: Organizational Issues
effect on the educational practice for school museum visits
emergence of new practices
take-up and sustainability
Vavoula, G. & Sharples, M. (2009) Meeting the Challenges in Evaluating Mobile Learning: a 3-level Evaluation Framework. International Journal of Mobile and Blended Learning , 1,2, 54-75.
Evaluation At each level
Step 1 – what was supposed to happen
pre-interviews with stakeholders (teachers, students, museum educators),
documents provided to support the visits
Step 2 – what actually happened
observer logs
post-focus groups
analysis of video diaries
Step 3 – differences between 1 & 2
reflective interviews with stakeholders
critical incident analysis
Three levels, in three stages, throughout the project Macro evaluation Meso evaluation Micro evaluation Specify requirements Design Implement Deploy Project development process Technology robust enough for evaluation of learning Service deployed long enough to assess impact
Example of global learning design project Social-constructivist theories of learning Theory and practice of 1:1 learning in classrooms Scenarios of successful classroom practice G1:1 global research network www.g1to1.org NCU Taiwan SRI, United States Group Scribbles software SRI International United States, Taiwan, Singapore, UK, Spain SceDer for orchestrating 1:1 classroom learning LSRI, United Kingdom SceDer for orchestrating 1:1 classroom learning Classroom evaluations Djanogly City Academy, UK Sharing of research findings CSCL workshop, Greece
Group Scribbles
Developed by SRI International Centre for Technology in Learning
System to support 1:1 classroom learning
Based on Post-its metaphor
Design and evaluation in US, Taiwan, Singapore, UK, Spain
Group scribbles in Singapore Group scribbles in the USA
SceDer Jitti Niramitranon, University of Nottingham PhD research
Design-based research to extend Group Scribbles for teacher authoring and classroom management
Based on scenarios of classroom interactions from SRI and NCU, Taiwan
Teacher support for orchestration of individual, group and whole class learning
SceDer authoring tool
SceDer/GS classroom tool
Classroom evaluation at Djanogly Academy, Nottingham
“ No longer can one community attempt to design TEL tools; communication and sharing of expertise amongst them is of paramount concern” Yishay Mor & Niall Winters (2007) Design Approaches to Technology-Enhanced Learning, Interactive Learning Environments , 15, 1, 2007, 61-75
World learning design research programme?
The World Learning Design Research Programme...is uniquely positioned to draw on the totality of learning design systems, facilities and intellectual capabilities of more than ??? countries . Integrating new observations, research facilities and scientific breakthroughs is essential to progress in the inherently global task of advancing understanding of the processes of learning and the design of effective learning environments
To achieve its objectives, the WLDRP adopts a multi-disciplinary approach , organizes large-scale observational, modelling and design projects and facilitates focus on aspects of learning too large and complex to be addressed by any one nation or single scientific discipline .
[It is] designed to improve scientific understanding and knowledge of learning processes and design of educational interventions that in turn result in more effective education and hence benefits to society
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