Data Model for ICT-Based Environment for Collaborative Learning and Research By OGUNTUNDE Toyin Computer Science Department University of Ibadan, Ibadan & CNAM, Paris, DICEN-IDF, Paris OSOFISAN O. Adenike Computer Science Department, University of Ibadan, Ibadan Agenda Properly modeled data, a pivot for efficient ICT-based Environment for Collaborative Learning and Research Keywords Research Statement of the Problem Data Model for ICT-based Environment for Collaborative Learning and Research Findings from the modeled data Properly modeled data, a pivot for efficient ICT-based Environment for Collaborative Learning and Research Attribute s Entities Constraint s Cardinaliti es Relation ships Modeled Databases ICT-based Environment for collaboration on Decision Problems Intelligence 6 4 2 0 Série 1 Série 2 Analyzed Information Série 3 Keywords Economic Intelligence, according to (Odumuyiwa V. and David A., 2010), is a process that involves information collection, processing and distribution with the goal of reducing uncertainty in decision making According to (Odumuyiwa, 2011) collaboration is defined as the act of working jointly with shared objectives (Amos David, 1990) defined learning as the activity of acquiring ability or information Education Impact (2001) defined research as a search for knowledge, a systematic investigation to establish facts Keywords cont’n… According to Carlos C. et al (2011) defined a data model as a relatively simple representation, usually graphical, of more complex real-world data structures with the purpose of supporting a specific problem domain An attribute is a characteristic of an entity A relationship describes an association among entities. Data models use three types of relationships: one-to-many, many-tomany, and one-to-one. A constraint is a restriction placed on the data Research Statement of the Problem There had been many ICT-enabled environment for collaboration projects such as Living Labs, nanoManipulator, Computer Supported Collaborative Work (CSCW) and others like Skype and AdobeConnect that found their ways into practical usage and are even employed for social networking today. While some do not do remote desktop sharing, some do but do not record the proceedings of the remote desktop sharing Data Model for ICT-based Environment for Collaborative Learning and Research * * * Discussion There are three main entities in ICT-BENVCoLeR: ACTOR ACTIVITY and OBJECT The central entity is the Actor 2 Actor Types For our case study the ACTOR entity is the Actor supertype while PhD student is the Actor subtype Findings from the modeled data A model could be deduced for the Actor identity GMactor= (Attr(general ), Attr(specific), attr∆, Rel (unique), History) Where, GMactor = ACTOR group model in the collaborative learning and research environment Attr (general )= general attributes common to all the actors Attr(specific)= Specific attributes that are unique to one ACTOR type (subtype) or the other attr∆= attributes that change over time Rel (unique)= unique relationship for the concerned ACTOR type History= tracks of actor’s current and past activities or participation(s) Findings cont’n… The derived Topology for the Data Model in ICT-BENVCoLeR Findings cont’n… The following knowledge can be derived from the ICT-BENVCoLeR data model: WHO? That is, those that managed or participated in certain activities WHEN? At what time in the past, did an actor manage certain activities or even currently. WHAT? what activities, in the past or even currently has an actor participated in. Also, the object(s) that an actor created, in the past or is participating in the process of creation currently. Furthermore, it could be deduced from this environment, WHAT versions of a product or object exist and WHAT date were they created, WHAT theme has an activity and WHAT qualification(s) or designation(s) changes has an actor overtime. HOW? How the role(s), marital status, qualification and designation of an Actor(s) have changed overtime. How many activities is a particular actor managing? References References Amos David et al (1990) An Intelligent Image-Based Computer-Aided Education Systems: The Prototype BIRDS International Journal of Pattern Recognition and Artificial Intelligence Vol 4, No. 3.(1990) 305-314. Carlos C., Steven M., & Peter R. (2011) Database Systems: Designs, Implementation and Management (Ninth edition) Couse Technology, Cengage Learning, U.S.A. EDUCATON IMPACT (2010). Education Briefing Paper: Research, eScience & Collaboration. www.educationimpact.net GABRIEL KABANDA (2008). Collaborative Opportunities for ICTs Development in a Challenged African Environment. Journal of Technology Management Innovation, 2008, Volume 3, issue 3. Harry Collins (2010) Tacit and Explicit Knowledge University of Chicago Press 2010. Odumuyiwa V., (2011) In: Chapter 4 of the book titled, “Competitive Intelligence and Decision Problems” (Ed. Amos David); John Wiley & Sons, Inc and ISTE Ltd. Thanks