Archive for September, 2008

MILCA – A Mobile and Interactive Learning Environment on Campus

Friday, September 26th, 2008

Presentation by Kin Choon Yow (Nanyang Technological University, Singapore) 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.

Current learning scenarios are not interactive. But in particular Asian students are very shy and do not dare to ask questions in the classroom. But they are more likely to engage in technologies and post their question online. So can we make use of mobile classroom scenarios? The presented system is build on two core technologies: Multimedia Messaging Service (MMS) and Live Audio Streaming. Students can follow the lecture anywhere on campus. The system is also used in classroom and particularly helpful for lecture with high numbers of participants. Students can send their questions via MMS to the lecturer, MMS questions are displayed underneath the slides, and lecturers can immediately react (real-time lecture feedback).

Evaluation Results: Students like it (some find it cool). Shy students can build up confidence to ask questions. Allow students asking questions even in large classes. Lecturers can understand better how students think and if/how they follow the course. Lecturer can adjust teaching pace immediately.

Questions: How to deal with high numbers of questions during the class? Currently, lecturer answer questions at the end of each sub-section. Some question are similar and are skipped. Do students loose much (attention) time when typing the messages? But the young generation is pretty fast. What are challenges of distance-teaching? Teacher seems to have problems to talk to a screen for several hours. Teacher loose the control and immediate feedback when teaching online, they have bigger influence in the classroom. The social experience of regularly going to university might actually be an important aspect of the learning experience.

Semantic Reasoning in Advanced E-Learning Brokerage Systems

Friday, September 26th, 2008

Presentation by Juan M. Santos (University of Vigo, Spain) 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.

Traditional search engines are not context-specific and offer limited efficiency in areas like online learning. Consequently, course materials can not be semantically analysed and LMS hide course contents. We need specialized brokers that automatically gather and integrate existing educational efforts. A broker is a knowledge base or expert system. Knowledge base is a repository of information collected and inferred by the broker. Technically, knowledge base consists of the Abox (facts) and Tbox (axioms). The broker is based on the ELEARNING-ONT ontology, defining the concepts and interrelations (course, educational service provider, educational platform, student) based on existing standards DC LOM, IMS ACCMO, CDH, IMS UP, IMS Accessibility for LIP etc (appreciations might be wrong). System as a Service-oriented Architecture (SOA).

Well thought and presented architecture (consisting of several layers and models), Java prototype has been implemented to prove that the identified models can be successfully implemented and used. Personalisation is a key features: For example, administrator can choose between different inference engines and several further components. The authors are now working on the implementation of a “real” brokerage system to publish courses from the three Galician region universities and some involved enterprises. The main problem the face is the lack of a standardized metadata model for the description of courses.

How can we embed a learning theory in the presented architecture? How hard would it be to implement a presentation layer that considers the learners context? The system is not meant for learning.

Intelligent Tutoring in the Semantic Web and Web 2.0 Environments

Friday, September 26th, 2008

Presentation by Vlado Glavinic 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.

eLearning systems used to be very static (HTML), interactivity increased (ASP, JSP, PHP) and applications based on Service Oriented Architecture (J2EE, .NET, XML) arise. Semantic Web allows cooperative work among agents based on displaying relations among knowledge elements and inference rules on data (OWL, DAML). Web 2.0 focus on cooperation, sharing, and creativity. Both affect the conceptualization of any web-oriented knowledge-based system.

The tool (TEx-Sys) presented arose from an on-site version, to web-oriented version, and finally to a web service based version. Transformation of the intelligent tutoring to the new web generation faces some challenges: heterogeneity of users, information overload, interoperability between systems, heterogeneity of access devices. So we need a new pedagogical paradigm to address the new learning community: So TEx-Sys is transformed into a multi-agent system. Agents should adapt to each students, model a student profile (learning background, previous test results, capabilities, preferences, learning goals …), agents can suggest students a revision of previous lessons, an exercise, a related test. Agent have knowledge on the domain, teaching methods. Agents shall enable communication between users, form interest groups, support cooperative learning etc. System allows teachers to enrich teaching content with further resources, student to download students notes. Agents provide search to reduce information overload of students (based on the student profile). A module of the system allows the use of mobile devices: This allows easy, contextualized, and ubiquitous access to knowledge.

The presented work is a vision paper listing requirements for a suited intelligent tutoring system. A first prototype exists and needs to be adapted to the new web generation, to the new agent-based framework. The knowledge society aims at commercializing ideas of such intelligent systems. Intelligent Agent-based system are still not ready for commercialization;most systems are research prototypes.

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