DSpace Collection: 4. LN: Software and Documentation

Ad-Hoc Transient Communities Simulation

Wed, 14 Oct 2009 06:51:06 GMT

Title: Ad-Hoc Transient Communities Simulation

Authors: Van den Berg, Bert; Van Rosmalen, Peter; Sloep, Peter; Brouns, Francis; Fetter, Sibren; Berlanga, Adriana

Abstract: Individual learner support in Learning Networks is needed, but professional tuition is not always available. On the one hand, resources may be limited; at the other hand support is time-consuming. One solution for this problem is to let peer students answer questions of fellow learners. In our approach the analysis of documents and the identification of appropriate and available persons in the Learning Network are combined to bring students together in a so-called Ad-Hoc Transient Community. Experiments demonstrate that, indeed, the use of Latent Semantic Analysis of documents combined with the identification of peers with appropriate tutor-suitability is effective. However, the possibilities to test these technologies and their underlying model for the selection of capable peers across different educational settings are limited. To this end, this simulation has been built. The aim is twofold: 1a) to replicate the first experiments that have been carried out with the system and in that way to validate the model of tutor suitability. 1b) to enhance the model for tutor-suitability, taking into account the factor of network dynamics. The simulation allows new learners to enter network and allows learners to formulate individual goals. Thus, we are able to track the tutor suitability in different educational contexts. 2) To obtain information about interactions that take place between learners in a learning network

Description: Van den Berg, B., Van Rosmalen, P., Sloep, P. B., Brouns, F., Fetter, S., & Berlanga, A. J. (2009). Ad-Hoc Transient Communities Simulation.The Netlogo application is distributed as a java applet and for that matter part of an archive which contains also the NetlogoLiteJar and the index.htm to start the application. The simulation model is available under the New-BSD licence

Social Network Analysis Tool for Navigation Support of Learners in Learning Networks

Mon, 15 Sep 2008 13:33:27 GMT

Title: Social Network Analysis Tool for Navigation Support of Learners in Learning Networks

Authors: Drachsler, Hendrik; Koné, Malik

Abstract: An analysis tool created in Netlogo to analyse emergent effects of recommender systems in Learning Network experiments. It is mainly used to observe and compare the “variety” and the “length” of learning paths in a Learning Networks.In order to run the analysis tool you have to create a control group (cc-data.txt) and experimental groups file (ec-data.txt). Please keep the semantic of the present files like:User ID "Username" Course ID80 "Username" 2380 "Username" 2687 "Username" 23The data is ordered according to the completion of the courses. Thus, the learner that first finished a course stands on top of the list. All other completed courses are listed according to the time stamp they were successfully completed.For further information please have a look at:- http://dspace.ou.nl/handle/1820/938- http://dspace.ou.nl/handle/1820/1186

Description: This is free software, you may use it and distribute it under the following conditions:Copyright (c) 2008, TENCompetence Foundation BoardAll rights reserved.Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. Neither the name of the TENCompetence Foundation nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE

data sets Simulations in articulating light-weight PRS

Sat, 13 Sep 2008 11:02:09 GMT

Title: data sets Simulations in articulating light-weight PRS

Authors: Van den Berg, Bert

Abstract: Data sets used for step 1, 2 and 3 in order to research effectiveness and effiency of different Recommondation strategies used in a simulation of a Pesonalised Recommender System

Description: The data sets are output of 3 different steps in the development a simulations of a PRS as described in chapter 3.3: Simulations in articulating light-weight PRSA case for Pedagogy-oriented and Rating-based Hybrid Recommendation StrategiesRob Nadolski, Bert van den Berg, Adriana Berlanga, Hans Hummel, Hendrik Drachsler, Rob Koper & Peter SloepOpen University of the Netherlands, OTEC, Centre for Technology Enhanced LearningAs the study consists of three incremental steps - each using a conceptual simula-tion model and a Netlogo (Wilensky, 1999) implementation - three separate method and results sections will be distinguished. A method section describes hy-potheses for the simulation study and its setup of each step. Netlogo is used to perform the simulation runs. The outcomes of such runs validate the version of the conceptual simulation model in that step, and guide further articulation of the conceptual simulation model. Our study started with a focussed expert discussion in which variables, their relationships, and associated literature with existing re-search were identified as input for all steps. In the first step, focus is given towards simplicity. The second step focuses on more reality, whereas the third step focuses on practical implementation issues. Each model will be elaborated in three parts: model variables, measurement variables, and recommendation strategies, followed by the setup of the simulation. Finally, conditions and treatments that are included in the simulation runs of that step will be described. Each conceptual simulation model is largely in line with the model described by Koper (2005). The main goal of the final version of the conceptual simulation model is that it represents the minimized set of LA- and learner characteristics that can support the included RS.Every condition in the simulation was replicated 12 times (i.e., N = 12 runs) to justify the use of classical statistic techniques on resulting data (Law and Kelton, 2000: p. 496), analyzed with SPSS version 15. Each condition included three treatment groups (O, P, OP) and one control group (C). Six conditions were included: goal (2) x sub domain (3). A low-end goal and a high-end goal were taken (see Tables 3.3.3 and 3.3.4). Either, 2, 3 or 4 sub do-mains were taken as they were all regarded to be representative for studies in higher distance education. In all six conditions, each group included 250 learners that could choose from 400 LAs. For all runs, only ‘graduates’ or ‘dropouts’ were allowed after run length. In other words, no participants were ‘still studying’ after run length. To check the robustness of the conceptual simulation model other conditions have been simulated as well.

Personal Recommender Simulation

Sat, 22 Mar 2008 16:34:32 GMT

Title: Personal Recommender Simulation

Authors: Van den Berg, Bert; Nadolski, Rob; Drachsler, Hendrik; Berlanga, Adriana; Hummel, Hans; Koper, Rob; Sloep, Peter

Abstract: The main goal of our project is to research and develop technologies that support users in Learning Networks. One of the questions in this research is how to tackle the problem of the difficulty for learners to navigate through the network: what is the most effective way to reach the learning target or which course can be studied best after finishing a particular one?The aim of this program is to simulate recommendations (strategies) of learning actions (LA's) for learners in a learning network with different (sub) domains, targets, preferences and competences.It is used to explore and to research the effectiveness of different recommendation strategies in various settings.

Description: The simulation and its background is described in detail in: Simulating [in the search] for lightweight Personalised Recommendation Systems in Learning Networks: A case for Pedagogy-Oriented Rating-based Hybrid Recommendation StrategiesRob J. Nadolski, Bert van den Berg, Adriana J. Berlanga, Hendrik Drachsler, Hans G.K. Hummel, Rob Koper and Peter B. Sloep. Open University of the Netherlands.Available under the three clause BSD licence, Copyright TENCompetence Foundation.

Personal Recommender System to advice Learning Tasks in Moodle

Mon, 16 Apr 2007 15:59:10 GMT

Title: Personal Recommender System to advice Learning Tasks in Moodle

Authors: Drachsler, Hendrik; Van den Berg, Bert

Abstract: A Personal Recommender System (PRS) has been created for Moodle to be able to recommend learning tasks to learners. The PRS was evaluated in an experiment of the internal ISIS project.

Description: License text:The tracking module is created as a Moodle module.Copyright for Moodle lies with Martin Dougiamas.Moodle is a free software, available under the GNU General Public License.Therefore, the scorecard module is also available under the GNU General PublicLicense.Together with this notice, you should have received the COPYRIGHT notice belongingto the Moodle software.This program is free software; you can redistribute it and/or modifyit under the terms of the GNU General Public License as published bythe Free Software Foundation; either version 2 of the License, or (at your option) any later version.This program is distributed in the hope that it will be useful,but WITHOUT ANY WARRANTY; without even the implied warranty ofMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See theGNU General Public License for more details.You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA

Planning Educational Task

Thu, 28 Sep 2006 15:43:21 GMT

Title: Planning Educational Task

Authors: Burgos, Daniel; Van Nimwegen, Christof

Abstract: Open Universiteit (Educational Technology Expertise Centre, Development Programme)(OUNL) and Utrecht Universiteit (Institute of information and computing sciences, Center for content and knowledge engineering)(UU) have carried out an experiment about user´s behaviour, adaptive learning and planning capacity facing a Management Educational Game. This game will also provide adaptive learning module with dynamic parallel feedback that will support the gaming flow and the reading of final results. It will be designed and modelled under IMS Learning Design Specification.

A rating module for Moodle

Thu, 25 Nov 2004 00:00:00 GMT

Title: A rating module for Moodle

Authors: Brouns, Francis

Abstract: The rating module for the LN4LD learning network was created for Moodle 1.1.1. This modified release should work in Moodle 1.5.3+.

Description: This is a module for Moodle that provide points for certain actions in a learning network. When sufficient points are obtained, users get access to additional resources.

ATL: ASA Tutor Locator

Mon, 03 Apr 2006 10:39:53 GMT

Title: ATL: ASA Tutor Locator

Authors: Brouwers, Maurice; Brouns, Francis; Van Rosmalen, Peter; Sloep, Peter; Koper, Rob

Abstract: ASA Tutor Locator creates ad hoc transient communities consisting of peer tutors, seeded with document fragments found in the learning network, to answer content questions of students.

Description: ASA Tutor Locator creates ad hoc transient communities consisting of peer tutors, seeded with document fragments found in the learning network, to answer content questions of students. The sources are available from http://sourceforge.net/projects/asa-atl. Available under the three clause BSD licence, Copyright TENCompetence Foundation.

CopperAuthor v1.6

Fri, 24 Feb 2006 10:01:07 GMT

Title: CopperAuthor v1.6

Authors: Van der Vegt, Wim; Koper, Rob

Abstract: CopperAuthor is a combination of an engine/core for manipulating IMS-LD and an IMS-LD editor built on top of it.

Description: Open Source; Licence GPL; see:www.copperauthor.org and www.sourceforge.org

GUP GTP Usability Prototype

Tue, 14 Feb 2006 17:04:21 GMT

Title: GUP GTP Usability Prototype

Authors: De Jong, André; Brouns, Francis

Abstract: A web interface extending the GTP software.

Description: GUP is a web-based application that allows users to use and test the GTP software, but with added functionality allowing users to define and create test sets, document sets and query sets with stored parameters, thereby facilitating experiments and testing and easy manipulation of GTP parameters.Download from http://sourceforge.net/projects/gupAvailable under the three clause BSD licence, Copyright TENCompetence Foundation.