Archive for the ‘WSKS 2008’ Category

An innovation teaching experience following guidelines of European space of higher education in interactive learning

Friday, September 26th, 2008

Presentation by Montserrat Zamorano (Department of Applied Mathematicians) at the 1st World Summit of the Open Knowledge Society, Athens, 24-26 September 2008. Track: Knowledge, Learning, Education, Learning Technologies, and eLearning for the Knowledge Society.

See European Space of Higher Education (ESHE) and paper for more details.

Metadata and Knowledge Management Driven Web-based Learning Information System

Friday, September 26th, 2008

Presentation by Hugo Rego at the 1st World Summit of the Open Knowledge Society, Athens, 24-26 September 2008. Track: Knowledge, Learning, Education, Learning Technologies, and eLearning for the Knowledge Society.

Presentating the Architecture and Workflows of the AHKME System. The system has been implemented and evaluated. In particular, the system’s managing Learning Objects seem to be one of the core interest of the knowledge society.

ERA E-Learning Readiness

Friday, September 26th, 2008

Presentation by Ulf-Daniel Ehlers (University of Düsburg-Essen, EFQUEL, Germany; science-without-borders.org) at the 1st World Summit of the Open Knowledge Society, Athens, 24-26 September 2008. Track: Knowledge, Learning, Education, Learning Technologies, and eLearning for the Knowledge Society.

Ulf Ehlers pointed out three teaching strategies: Transfer, Tutor, and Coach as well as the changing faces of E-Learning: from distribution to collaboration and reflection (from transmissive to expansive learning).

What is e-Readiness: 7 core components (social context, content delivery, technology access, learning style, collabroation capacity, organisational learning, environment and personal motivation) and 5 challenges (technically means, autonomy in web use, e-skills, level of social support, variation in motivation) (cf. Ipsos Mori 2006, Psycharis 2005). In the paper, the author set up a framework for E-Readiness and its assessment.

See also post on quality of OER and publication list.

From “Publish or Parish” to “Demo or Parish”

Friday, September 26th, 2008

I discussed with other participants of the WSKS the situation in science regarding scientific publishing. Scientists have to prove high-impact publication (see science index), but publication processes are often very long. Consequently, results are often out-dated at the date of appearance.

A tendency that one may recognize is that more and more submissions focus on convincing that they are capable of doing something (realizing an idea) rather than displaying fully implemented and evaluated research systems. As I was told, this is also referred to a shift from “Publish or Die” towards “Demo or Die“.

If we look at the mass of scientific publications today, it gets harder and harder for scientists (in particular novice) to distinguish papers on fully evaluated algorithms and systems from vision-papers or work-in-progress as well as paper on still ongoing work from out-of-date publications. Would it be possible to classify papers more explicitly, i.e. to help (young) scientists to immediately know what to expect from a paper (ideally before having to purchase it)?

I agree that (to a certain degree) it is our task to learn how to make this distinction ourselves. For example, we can take the impact factors and reputation of the publication sources into account. However, although in these highly-recognized sources, the actual state of the presented work remains unclear (sometimes). This particularly refers to the presented systems, i.e. to decided whether a mock-up, a research prototype, or “almost-product” has been presented.

And overall, when is a good time to publish, i.e. what state should the research be in before it is “ready” for publication?

Pattern Matching Techniques to Identify Syntactic Variations of Tags in Folksonomies

Friday, September 26th, 2008

Presentation at the 1st World Summit of the Open Knowledge Society, Athens, 24-26 September 2008. Track: Culture & Cultural Heritage – Technology for Culture Management, Management of Tourism, and Entertainment.

Reducing syntactic variations to reduce redundancies and, thus, improve searchability of folksonomies. Pattern matching is applied, which is based on the comparison of a pattern string and a candidate string. Examples for syntactic variations are typographic errors, tags in plural/ singular, and transposition of adjacent characters.

Spatial Information Retrieval from Images using Ontologies and Semantic Maps

Friday, September 26th, 2008

Presentation by Stavros Christodoulakis (see publication list) at the 1st World Summit of the Open Knowledge Society, Athens, 24-26 September 2008. Track: Culture & Cultural Heritage – Technology for Culture Management, Management of Tourism, and Entertainment.

Main problem: Interrelationship of spatial information and semantic information. The authors propose a framework that combines and associates image contents with semantic and spatial information. Usage of this work is to support a user before, during, and after a trip.

Semantic maps are digital maps used to visualize both geographic and semantic information on (sight seeing) objects. Semantics is captured in ontologies.

CallimachusDL: Using Semantics to Enhance Search and Retrieval in a Digital Library

Friday, September 26th, 2008

Presentation by Juan Miguel Gomez-Berbis (Universidad Carlos III de Madrid) at the 1st World Summit of the Open Knowledge Society, Athens, 24-26 September 2008. Track: Culture & Cultural Heritage – Technology for Culture Management, Management of Tourism, and Entertainment.

getcited link

A Social Networking Exploration of Political Blogging in Greece

Friday, September 26th, 2008

Presentation by Kostas Zafiropoulos (University of Marcedonia) at the 1st World Summit of the Open Knowledge Society, Athens, 24-26 September 2008. Track: Government and Democracy for the Knowledge Society.

Study of blogs that contain posts linking to the sites of two political candidates. Grouping them based on their characteristics (pro candidate 1, non-political, ect.) and providing their number of incoming links (potentially a measure for their impact?). Computing the “closeness” of these groups: i.e. the percentage of links within a group. Computing the “interconnections” between different groups. Please see paper for details.

How scientific are blogs, as they are influenced by the subjective opinion of the blogger? Blogs offer a wide range of ideas, but the correctness and quality of these postings can not be assured.

Particle Swarms for Competency-Based Curriculum Sequencing

Thursday, September 25th, 2008

Presentation by Luis-de-Macros (Unversidad de Alcalá) at the 1st World Summit of the Open Knowledge Society, Athens, 24-26 September 2008. Track: Knowledge. Learning, Learning Technologies and E-Learning for the Knowledge Society.

All commercial e-learning initiatives follow the “learning object paradigm”, which encourages the creation of small reusable learning units, i.e. “learning objects (LO)”. These LO are aggregated and structured in order to create bigger learning units (lessons, courses). Currently most sequencing is done by an instructor, who creates general course material targeted to a general user rather than personalized sequences.

Competencies are defined as “multidimensional, comprised of knowledge, skills, and psychological factors that are brought together in complex behavioral responses to environmental cues (Wilkinson, A Matter of Life or Death: Re-engineering Competency-Based Education through the Use of a Multimedia CD-ROM). There are several initiatives to standardize the definitions of competences:

The author define competencies are outcomes of and perquisites for LO; creating constraints between LO (i.e. one LO has to precede a specific LO which provides the required competencies). Learning Object Metadata (LOM) records are used to attach the competencies to a LO.

From this LO sequence model, different sequences can be generated (the solution space of n LO is n!). Finding an appropriate LO sequence is seen as Constraints Satisfaction Problem. Particle Swarm Optimization (PSO) is an evolutionary optimization algorithm (e.g. mimicing the behavior of social insects like bees). The author propose a PSO agent that performs automatic LO sequencing through competencies.

Interactive Cognitive Theory

Thursday, September 25th, 2008

Keynotes by Robert D. Tennyson (University of Minnesota, psychologist) at the 1st World Summit of the Open Knowledge Society, Athens, 24-26 September 2008.

Focus: Presentation of a learning theory developed with a German psychologist Klaus Breuer from University of Mainz.