School of something FACULTY OF OTHER School of Computing FACULTY OF ENGINEERING Evaluation Kleanthous Styliani www.comp.leeds.ac.uk/stellak.

Slides:



Advertisements
Similar presentations
1 Entering through the same door - Universal design put simple Soren Ginnerup Danish Building Research Institute Consultant to the COE group on Universal.
Advertisements

Marketing Info. System Assessing Marketing Information Needs
Consistent context scenarios: a new approach to ‘story and simulation’
4th VRE Programme meeting July 2006, Manchester User engagement: five key challenges and strategies for addressing them Chris Ramsden and Kerstin.
School of something FACULTY OF OTHER School of Computing FACULTY OF ENGINEERING Semantic - Enhanced Community Modelling to Support Knowledge Sharing Kleanthous.
Supporting Knowledge Sharing & Construction in Virtual Learning Communities Styliani Kleanthous Supervisor: Vania Dimitrova School of Computing, University.
DELOS Highlights COSTANTINO THANOS ITALIAN NATIONAL RESEARCH COUNCIL.
International Workshop Authoring of Adaptive and Adaptable Educational Hypermedia AH04 Conference PANEL SESSION Which research agenda for adaptive/adaptable.
Classroom Assessment Techniques for Early Alert of Students At Risk Carleen Vande Zande, Ph.D. Academic Leaders Workshop.
Market Research Ms. Roberts 10/12. Definition: The process of obtaining the information needed to make sound marketing decisions.
Agent-Based Architecture for Intelligence and Collaboration in Virtual Learning Environments Punyanuch Borwarnginn 5 August 2013.
Distributed Advice-Seeking on an Evolving Social Network Dept Computer Science and Software Engineering The University of Melbourne - Australia Golriz.
DIGITAL MEDIA INSTITUTE hypermedia laboratory Finnish Virtual University TAMPERE UNIVERSITY OF TECHNOLOGY A Multidisciplinary tool for the evaluation of.
Evaluation What, How and Why Bother?.
©2011 1www.id-book.com Introducing Evaluation Chapter 12.
PICTURE ¬ Focus Group – Avila 11 de octubre 2005 ASENSIO - MORTARI – UAM – Universidad Autónoma de Madrid PICTURE ¬ Focus Group – Avila 11 de octubre 2005.
Chapter Thirteen Conclusion: Where We Go From Here.
1.Data categorization 2.Information 3.Knowledge 4.Wisdom 5.Social understanding Which of the following requires a firm to expend resources to organize.
Copyright © 2010 by Nelson Education Ltd. Chapter 7 Marketing Research, Decision Support Systems, and Sales Forecasting with Duane Weaver.
WHAT IS INTERACTION DESIGN?
1 ICT-based Paradigm Shifts Dave Moursund Teacher Education.
Supporting Privacy in E-learning with Semantic Streams Lori Kettel, Christopher Brooks, Jim Greer ARIES Laboratory Advanced Research in Intelligent Educational.
© 2003 Turoff 1 The Nature of Information Systems and Employment in IS Murray Turoff Information Systems Department.
4. Interaction Design Overview 4.1. Ergonomics 4.2. Designing complex interactive systems Situated design Collaborative design: a multidisciplinary.
Olli Kulkki Markus Lappalainen Ville Lehtinen Reijo Lindroos Ilari Pulkkinen Helsinki University of Technology S Acceptability and Quality.
Course Instructor: Aisha Azeem
ASSESSMENT Worker’s begin their assessment in the planning stage and continue to assess and reassess the group’s work until the group ends. Worker’s begin.
UOFYE Assessment Retreat
School Development Planning Initiative “An initiative for schools by schools” Self-Evaluation of Learning and Teaching Self-Evaluation of Learning and.
Formal Appraisal of Undergraduates – worth the effort? Deborah Murdoch-Eaton Professor of Medical Education Leeds.
Module 3: Business Information Systems Chapter 11: Knowledge Management.
Predictive Evaluation
American Community Survey ACS Content Review Webinar State Data Centers and Census Information Centers Gary Chappell ACS Content Review Project Lead April.
Distributed Access to Data Resources: Metadata Experiences from the NESSTAR Project Simon Musgrave Data Archive, University of Essex.
Presentation: Techniques for user involvement ITAPC1.
SPECA Regional Wrokshop on Disability Statistics, Dec 13-15, 2006 Issues Related to Disability Measurement: Cognitive testing and mode Jennifer Madans.
Making the most of it: Assessing impact with small data sets Susanna Dilliplane, PhD Deputy Director Aspen Planning and Evaluation Program ANDE Annual.
1 Article Number (4) Application of Objective Structured Clinical Examination in Community Health Nursing Course: Experience of Staff Members and Students.
An Online Knowledge Base for Sustainable Military Facilities & Infrastructure Dr. Annie R. Pearce, Branch Head Sustainable Facilities & Infrastructure.
Copyright Joe Kasser Dr. Joseph Kasser UMUC On-line Requirements Workshop.
PAPER PRESENTATION: EMPIRICAL ASSESSMENT OF MDE IN INDUSTRY Erik Wang CAS 703.
Human Computer Interaction
Evaluation and Website Overview Ellen Iverson Cathy Manduca.
Group Technical Assistance Webinar August 5, CFPHE RESEARCH METHODS FOR COMPARATIVE EFFECTIVENESS RESEARCH.
VMT Workshop june 9-11, Philadelphia Gerardo Ayala Centro de Investigación en Tecnologías de la Información y Automatización, CENTIA Universidad de las.
Science Fair How To Get Started… (
Towards a Method For Evaluating Naturalness in Conversational Dialog Systems Victor Hung, Miguel Elvir, Avelino Gonzalez & Ronald DeMara Intelligent Systems.
Chapter 4 Decision Support System & Artificial Intelligence.
Enabling e-Research in Combustion Research Community T.V Pham 1, P.M. Dew 1, L.M.S. Lau 1 and M.J. Pilling 2 1 School of Computing 2 School of Chemistry.
Unit 2 AS Sociology Research Methods Examination Technique.
1 Human-Computer Interaction Usability Evaluation: 2 Expert and Empirical Methods.
MIS2502: Data Analytics Advanced Analytics - Introduction.
 ACTION RESEARCH. Action research is undertaken in a school setting. It is a reflective process that allows for inquiry and discussion as components.
Working with your archive organization: Broadening your user community Robert R. Downs, PhD Socioeconomic Data and Applications Center (SEDAC) Center for.
Using Qualitative Methods to Identify System Dynamics and Inform System Evaluation Design Margaret Hargreaves Mathematica Policy Research American Evaluation.
Personal Communication as Classroom Assessment. “What’s in a question, you ask? Everything. It is a way of evoking stimulating response or stultifying.
Grant Writing for Digital Projects September 2012 IODE Project Office IODE Project Office Oostende, Belgium Oostende, Belgium Sustainability and.
Development and evaluation of a Behavioural Intervention Grid: LifeGuide The LifeGuide team Social scientists: Lucy Yardley, Susan Michie, Judith Joseph,
Introduction to System Evaluation IS 588 Dania Bilal & Lorraine Normore Spring 2007.
E VALUATION PLAN FOR COURSE DESIGN Embedding Literacy and Numeracy Module.
Learning Adaptation Slavi Stoyanov. LA Position Conceptual Design –Operational definition of LD (what is it? Why is it? whom is it for? what do we adapt.
CHAPTER ELEVEN MANAGING KNOWLEGE. Objectives We have been through some of this already Role of knowledge management Types of knowledge management systems.
MIS2502: Data Analytics Advanced Analytics - Introduction
Chapter 2 Literature Review.
Chapter 8 – Software Testing
Integrating Deep Learning with Cyber Forensics
Semantic Approach for Evaluating Product Design Using Image Schemas
Knowledge Sharing Mechanism in Social Networking for Learning
Ran Cheng and Julita Vassileva
Risk Assessment in Deception: Presenting DARN and DRAT
Presentation transcript:

School of something FACULTY OF OTHER School of Computing FACULTY OF ENGINEERING Evaluation Kleanthous Styliani

Overview Common Evaluation Approaches Before Planning an Evaluation Evaluation for this PhD School of Computing FACULTY OF ENGINEERING

Evaluation approaches for Intelligent Systems Formative & Summative Evaluation Layered Evaluation (Specific to Adaptive Systems) Simulations Control Groups School of Computing FACULTY OF ENGINEERING

Simulations: preferred when you need large amounts of data or data is too expensive to collect or when people have to be involved and there is no available sample. (e.g. P2P Communities, Social Networks) Control Groups: allow to different samples to use a system with and without the intelligent functionality and measure which group did best or according to what they are evaluating. (Comtella) (negative: the non-intelligent version cannot be optimal in any way if the system built with intelligent functionality at the beginning ) School of Computing FACULTY OF ENGINEERING

Formative: the system should be evaluated for its usability and effectiveness in the early stages. Summative: the effectiveness of the system is determined in real environments after development or completion of a major stage. Layered approach: Layer 1 – Interaction Assessment Evaluation e.g. Are the users characteristics being successfully detected by the system and maintained in the user model? Layer 2 – Adaptation Decision Making Evaluation e.g. Are the adaptation decisions valid and meaningful for selected assessment results? School of Computing FACULTY OF ENGINEERING

School of Computing FACULTY OF ENGINEERING Before planning the evaluation: What are you evaluating? What are your research questions/hypothesis? How will you test the above with the evaluation? Plan the evaluation

What are you evaluating? Extraction of community model Pattern detections Evolution algorithms Advantages of interventions School of Computing FACULTY OF ENGINEERING

What are your research questions? Formative Evaluation Do the CM algorithms work as are intended to work? Do the pattern detection algorithms extract the correct patterns? Do the evolution algorithms pick the changes happen through time? School of Computing FACULTY OF ENGINEERING

Summative Evaluation Structured specifically for this framework with specific questions to be answered Suitability of interventions: How do members evaluate the interventions? Benefits for users: Do the users find the interventions helpful in Identifying people relevant to them? Identifying resources relevant to them? Become aware of who is working on what? Identify potential collaborators? School of Computing FACULTY OF ENGINEERING

Benefits for the community: Newcomers How quickly are they integrated in the VC? Oldtimers How active they are? Transactive Memory Do they know who to ask or where to find resources for topic A? Do they know what other members know in the VC? To whom is your knowledge important? School of Computing FACULTY OF ENGINEERING

Benefits for the community: Shared Mental Models What others are doing in this VC? What is the purpose of this VC? Cognitive Centrality Who shares the most valuable resources in this community? Have the centrality shifted more effectively between members? Any peripheral members became cognitively central? School of Computing FACULTY OF ENGINEERING

Where to evaluate? BSCW Data of Semantic Web VC (Formative) AWESOME Simulated Data (Formative) & (prove generality of approach) Active VC to evaluate the whole framework & focusing on the intelligent interventions (Summative) Qualitative (questionnaires) Quantitative (statistics) School of Computing FACULTY OF ENGINEERING

Why am I telling you these things? BSCW VC for our group I need your contribution to complete the major part of evaluation – Summative Evaluation Share some resources with the others Download resources that might interest you Try to follow the guidelines given School of Computing FACULTY OF ENGINEERING

Thank you! School of Computing FACULTY OF ENGINEERING

Mark, M. & Greer, J. (1993). Evaluation Methodologies for Intelligent Tutoring Systems. Journal of Artificial Intelligence and Education, 4 (2/3), pp Karagiannidis, C. and D.G. Sampson. Layered Evaluation of Adaptive Applications and Services. in International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems Springer-Verlag. Millan, E. and J. Perez-De-La-Cruz, A Bayesian Diagnostic Algorithm for Student Modeling and its Evaluation. User Modeling and User-Adapted Interaction, (2): p Shlomo, B., et al. Evaluating User Model Effectiveness by Simulation. in Workshop on Personalized Access on Cultural Heritage at 11th international conference on user modeling Cheng R., Vassileva J. (2006) Design and Evaluation of an Adaptive Incentive Mechanism for Sustained Educational Online Communities. User Modelling and User-Adapted Interaction, 16 (2/3), (special issue on User Modelling Supporting Collaboration and Online Communities). School of Computing FACULTY OF ENGINEERING