On the general structure of ontologies of instructional models Miguel-Angel Sicilia Information Engineering Research Unit [University of Alcalá]

Slides:



Advertisements
Similar presentations
Dr. Leo Obrst MITRE Information Semantics Information Discovery & Understanding Command & Control Center February 6, 2014February 6, 2014February 6, 2014.
Advertisements

Long-term Digital Metadata Curation Arif Shaon University of Reading 16 April 2014.
28 March 2003e-MapScholar: content management system The e-MapScholar Content Management System (CMS) David Medyckyj-Scott Project Director.
AVATAR: Advanced Telematic Search of Audivisual Contents by Semantic Reasoning Yolanda Blanco Fernández Department of Telematic Engineering University.
Decision Table Based Testing
The design process IACT 403 IACT 931 CSCI 324 Human Computer Interface Lecturer:Gene Awyzio Room:3.117 Phone:
Learning Content Standards Demos, Details, and De-mystification Robby Robson, Eduworks Chair, IEEE Learning Technology Standards Committee
Presented by: Analinda Corona
University of Piraeus Department of Technology Education and Digital Systems Centre for Research and Technology - Hellas(C.E.R.T.H.) Informatics and Telematics.
Towards a hybrid approach to context modelling, reasoning and interoperation Karen Henricksen CRC for Enterprise Distributed Systems Technology (DSTC)
CSCL and Standards for Learning Technologies Ola Berge Netværket IKT og Læring, e-Learning Lab at Aalborg University,
ALFANET September 23th, 2005UNFOLD-PROLEARN workshopValkenburg Authoring a full life cycle model in standards-based adaptive elearning Peter van Rosmalen.
Knowledge Acquisitioning. Definition The transfer and transformation of potential problem solving expertise from some knowledge source to a program.
1 Planning. R. Dearden 2007/8 Exam Format  4 questions You must do all questions There is choice within some of the questions  Learning Outcomes: 1.Explain.
ALFANET April 29th, 2005ALFANET, IST rd Review Meeting Adaptation in aLFAnet Peter van Rosmalen Open Universiteit Nederland.
From Knowledge Engineering to Ontological Engineering -- A New Trend in Knowledge Model Building for ITSs -- Riichiro Mizoguchi ISIR, Osaka University.
Solutions for Personalized T-learning Alberto Gil Solla Department of Telematic Engineering University of Vigo (Spain) EuroITV 2005: the 3rd European Conference.
© 2005 LO  LA From a Learning Object centric view towards a Learning Activity perspective Hans Hummel & Rob Koper Open University of the Netherlands.
Describing Syntax and Semantics
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
The design process z Software engineering and the design process for interactive systems z Standards and guidelines as design rules z Usability engineering.
Inductive analysis of learning design patterns Presentation for Current research on IMS Learning Design, Unfold/Prolearn Workshop, September 2005.
José Paulo Leal | Ricardo Queirós CRACS & INESC-Porto LA Faculdade de Ciências, Universidade do Porto Rua do Campo Alegre, Porto PORTUGAL.
AIXM 5.1 Seminar 12 – 13 December 2011
Ontology Development in the Sciences Some Fundamental Considerations Ontolytics LLC Topics:  Possible uses of ontologies  Ontologies vs. terminologies.
Gr ? Can use symbolic notation – not assess learn.. Use concrete material counted by ones Zero? numeral, digit,
Writing for National Board Certification
Andrew Brasher Andrew Brasher, Patrick McAndrew Userlab, IET, Open University Human-Generated Learning.
9/14/2012ISC329 Isabelle Bichindaritz1 Database System Life Cycle.
Adaptive Processes © Adaptive Processes Simpler, Faster, Better Software Requirements.
A C-BML Standard Development Framework for Phase 2 and Beyond Kevin Gupton Applied Research Laboratories University of Texas at Austin
A view-based approach for semantic service descriptions Carsten Jacob, Heiko Pfeffer, Stephan Steglich, Li Yan, and Ma Qifeng
1/26/2004TCSS545A Isabelle Bichindaritz1 Database Management Systems Design Methodology.
Frames Icons. Over Time Means Issues of importance past, present and future Applying something historic to present knowledge Predicting something based.
A language to describe software texture in abstract design models and implementation.
1 Introduction to Software Engineering Lecture 1.
Knowledge Representation of Statistic Domain For CBR Application Supervisor : Dr. Aslina Saad Dr. Mashitoh Hashim PM Dr. Nor Hasbiah Ubaidullah.
METS Application Profiles Morgan Cundiff Network Development and MARC Standards Office Library of Congress.
InfoLab: A Web Learning Pedagogical Based Content Repurposing Approach 1 ICALT rd IEEE International Conference on Advanced Learning Technologies.
Learning Object Metadata Application Profiles: Lithuanian Approach E. Kurilovas S. Kubilinskienė Centre for IT in Education, MoE Lithuania.
Learning Procesees and Processing Learning From Organizational Learning Needs to Learning Designs Ambjörn Naeve Knowledge Management Research group (KMR)
2007/7/8 A Theory-aware & Standards-compliant authoring system SMARTIES Riichiro Mizoguchi, Yusuke Hayashi and Jacqueline Bourdeau.
Why have an Ontology for DoT? The difficult questions.
Improving LOM-Based Interoperability of Learning Repositores Germán M. Rivera Bernd Simon Juan Quemada Joaquín.
S. Wilson and P. Johnson 1 CADUI' June FUNDP Namur Bridging the Generation Gap: From Task Models to User Interface Designs Stephanie Wilson.
Formal Specification: a Roadmap Axel van Lamsweerde published on ICSE (International Conference on Software Engineering) Jing Ai 10/28/2003.
Lesson Plans Objectives
Be.wi-ol.de User-friendly ontology design Nikolai Dahlem Universität Oldenburg.
Enable Semantic Interoperability for Decision Support and Risk Management Presented by Dr. David Li Key Contributors: Dr. Ruixin Yang and Dr. John Qu.
Planning Instruction A Review of the Cognitive Domain and Performance Objectives.
Learning Objects Modified from Dave Vosen’s slides.
Rinke Hoekstra Use of OWL in the Legal Domain Statement of Interest OWLED 2008 DC, Gaithersburg.
Riyadh Philanthropic Society For Science Prince Sultan College For Woman Dept. of Computer & Information Sciences CS 251 Introduction to Computer Organization.
Object Oriented Analysis & Design By Rashid Mahmood.
Krasnova Nadezhda RUSSIA,KALININGRAD. Problem: Future marine engineers demand skills in English The need for knowledge of English learners in professional.
Mechanisms for Requirements Driven Component Selection and Design Automation 최경석.
1 of 7 Data interpretation Copyright © AQA and its licensors. All rights reserved. Disclaimer This is an example of a teaching aid to support learning.
Small Engine Tool ID Part 1.
Can SNOMED CT be harmonized with an upper-level ontology?
On the general structure of ontologies of instructional models
Integration of ICT in teaching and learning
Discussion session by Dr Zahari Hamidon
The design process Software engineering and the design process for interactive systems Standards and guidelines as design rules Usability engineering.
The design process Software engineering and the design process for interactive systems Standards and guidelines as design rules Usability engineering.
Learning Design based on Graphical Knowledge-Modeling LICEF-CIRTA, Télé-Université _________________________________ Michel Léonard UNFOLD Workshop.
CSc4730/6730 Scientific Visualization
What is a software process?
Semantic Markup for Semantic Web Tools:
A programming exercise evaluation service for Mooshak
Profiles Guidance & Vocabulary
Presentation transcript:

On the general structure of ontologies of instructional models Miguel-Angel Sicilia Information Engineering Research Unit [University of Alcalá]

Motivation The status of “pedagogical metadata” – IEEE LOM: InteractivityType/level, etc. – IMS LD: Represents the structure, not the pedagogical rationale behind – Some classifications exist, e.g. Conole. What about intructional design? – ID techniques constraint the universe of possible LD (combinations of resources/activities)

Instructional models – practice-oriented theories offering explicit guidance on how to help people learn that offer situation- specific methods, that in turn are described in terms of components, and that are know to be effective for learning under some conditions (to some extent). Methods can be made operational Result: – Learning resources, e.g. an IMS LD.

Not talking of “Process models” E.g. ADDIE

Design constraints A concrete learning design LD expressed in a digital educational description language is provisionally conformant to the IDModel A if there exist a legal interpretation LI of A in terms of the description language and LD fulfills all the constraints contained in LI.

Ontologies and rules “TheoryOne” – “give abundant examples of the concepts treated” – We assume a IMS LD ontology in OWL. lr:LearningObject(?lo)  lr:hasPart(?lo, ?lo2)  lr:hasPart(?lo, ?lo3)  lr:ExerciseLO(?lo2)  lr:ExerciseLO(?lo3)  hasAbundantExamples(?lo, true) lr:LearningObject(?lo1)  lr:hasPart(?lo1, ?lo2)  lr:hasPart(?lo2, ?lo3)  lr:hasPart(?lo1, ?lo3)

Requirements State the objectives. State the kinds of learning resources. State sequences and relations between them. … these can be found in IEEE LOM to some extent. Use your favorite DL+rules language.

Usage Practical application Search: give me LD that complies with inst. theory X. Methodcheckinggenerating “give abundant examples” Check that the appropriate number of resources of type exercise are included as part of the Environment of the activities. Contrast that those examples illustrate the same concept expressed in the objective of each activity. For each of the concepts identified in the objectives, generate in the IMS LD method an activity to teach the concept, which contains an activity that is specific for exercising, and has in its Environment a KnowledgeObject of type exercise.

Elaboration theory “Teach broader, more inclusive concepts before narrower, more detailed concepts that elaborate upon them”

Conclusions (some)Intructional methods can be (partially) made operational in term of learning resources. – Some are still too abstract (this can be a criteria for validness) (different) sets of rules can be used to check them as an aid in the instructional design process. This is largely unexplored. This has practical applications to design tools and for search!.