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ReMashed - an usability study of a recommender system for mash-ups for learning
Drachsler, Hendrik; Rutledge, Lloyd; van Rosmalen, Peter; Hummel, Hans; Pecceu, Dries; Arts, Tanja; […]
Zeitschriftenbeitrag
| In: International Journal of Emerging Technologies in Learning. Special Issue | 2010
37428 Endnote
Autor*innen:
Drachsler, Hendrik; Rutledge, Lloyd; van Rosmalen, Peter; Hummel, Hans; Pecceu, Dries; Arts, Tanja; Hutten, Edwin; Koper, Rob
Titel:
ReMashed - an usability study of a recommender system for mash-ups for learning
In:
International Journal of Emerging Technologies in Learning. Special Issue, 5 (2010) , S. 7-11
URL:
http://online-journals.org/index.php/i-jet/article/view/1191
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Beitrag in Sonderheft
Sprache:
Englisch
Abstract:
The following article presents an usability study of a Mash-up Personal Learning Environment called ReMashed that recommends items from the emerging information of a Learning Network. In ReMashed users can specify certain Web 2.0 services and combine them in a Mash-Up Personal Learning Environment. The users can rate information from an emerging amount of Web 2.0 information of a Learning Network and train a recommender system for their particular needs. In total 49 participants from 8 different countries registered to evaluate the ReMashed system. The participants contributed Web 2.0 contents and used the recommender system for one month. The evaluation was concluded with an online questionnaire where most of the participants were positive about the ReMashed system and offered helpful ideas for future developments. (Orig.)
Issues and considerations regarding sharable data sets for recommender systems in technology […]
Drachsler, Hendrik; Bogers, Toine; Vuorikari, Riina; Verbert, Katrien; Duval, Erik; […]
Sammelbandbeitrag
| Aus: Manouselis, Nikos; Drachsler, Hendrik; Verbert, Katrien; Santos, Olga C. (Hrsg.): Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010) | Amsterdam: Elsevier | 2010
37532 Endnote
Autor*innen:
Drachsler, Hendrik; Bogers, Toine; Vuorikari, Riina; Verbert, Katrien; Duval, Erik; Manouselis, Nikos; Beham, Guenter; Lindstaedt, Stephanie; Stern, Hermann; Friedrich, Martin; Wolpers, Martin
Titel:
Issues and considerations regarding sharable data sets for recommender systems in technology enhanced learning
Aus:
Manouselis, Nikos; Drachsler, Hendrik; Verbert, Katrien; Santos, Olga C. (Hrsg.): Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010), Amsterdam: Elsevier, 2010 (Procedia Computer Science, 1), S. 2849-2858
DOI:
10.1016/j.procs.2010.08.010
URL:
https://www.sciencedirect.com/science/article/pii/S1877050910003236?via%3Dihub
Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Abstract:
This paper raises the issue of missing data sets for recommender systems in Technology Enhanced Learning that can be used as benchmarks to compare different recommendation approaches. It discusses how suitable data sets could be created according to some initial suggestions, and investigates a number of steps that may be followed in order to develop reference data sets that will be adopted and reused within a scientific community. In addition, policies are discussed that are needed to enhance sharing of data sets by taking into account legal protection rights. Finally, an initial elaboration of a representation and exchange format for sharable TEL data sets is carried out. The paper concludes with future research needs. (Orig.)
User-tailored inter-widget communication extending the shared data interface for the Apache Wookie […]
Hoisl, Berhard; Drachsler, Hendrik; Waglechner
Sammelbandbeitrag
| Aus: International Conference Hasselt (Hrsg.): Academic and corporate e-learning in a global context: Proceedings of the Conference Interactive Computer aided Learning (ICL 2010), Hasselt/Belgium | Kassel: Kassel Univ. Press | 2010
37531 Endnote
Autor*innen:
Hoisl, Berhard; Drachsler, Hendrik; Waglechner
Titel:
User-tailored inter-widget communication extending the shared data interface for the Apache Wookie engine
Aus:
International Conference Hasselt (Hrsg.): Academic and corporate e-learning in a global context: Proceedings of the Conference Interactive Computer aided Learning (ICL 2010), Hasselt/Belgium, Kassel: Kassel Univ. Press, 2010 , S. 1-9
Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Abstract:
This paper presents a technical solution for an Inter-Widget Communication in Mash-up Personal Learning Environments enabling the possibility to model basic workflows. It explains the technical background of the widget concept and why Inter-Widget communication can be beneficial especially for e-learning. Related approaches towards an Inter-Widget communication are reviewed and delimited to the suggested approach. Finally, the detailed procedures of the Inter-Widget communication are presented on the basis of the Wookie widget engine. (Orig.)
Navigation support for learners in informal learning networks (Doctoral dissertation)
Drachsler, Hendrik
Monographie
| Heerlen: Open University of the Netherlands | 2009
37554 Endnote
Autor*innen:
Drachsler, Hendrik
Titel:
Navigation support for learners in informal learning networks (Doctoral dissertation)
Erscheinungsvermerk:
Heerlen: Open University of the Netherlands, 2009
URL:
http://hdl.handle.net/1820/2084
Dokumenttyp:
1. Monographien (Autorenschaft); Monographie
Sprache:
Englisch
Abstract:
Learners increasingly use the Internet as source to find suitable information for their learning needs. This especially applies to informal learning that takes place during daily activities that are related to work and private life. Unfortunately, the Internet is overwhelming which makes it difficult to get an overview and to select the most suitable information. Navigation support may help to reduce time and costs involved selecting suitable information on the Internet. Promising technologies are recommender systems known from e-commerce systems like Amazon.com. They match customers with a similar taste of products and create a kind 'neighborhood' of likeminded customers. They look for related products purchased by the neighbors and recommend these to the current customer. In this thesis we explore the application of recommender systems to offer personalized navigation support to learners in informal Learning Networks. A model of a recommender system for informal Learning Networks is proposed that takes into account pedagogical characteristics and combines them with collaborative filtering algorithms. Which learning activities are most suitable depends on needs, preferences and goals of individual learners. Following this approach we have conducted two empirical studies. The results of these studies showed that the application of recommender systems for navigation support in informal Learning Networks is promising when supporting learners to select most suitable learning activities according to their individual needs, preferences and goals. Based on these results we introduce a technical prototype which allows us to offer navigation support to lifelong learners in informal Learning Networks. (Orig.)
Proceedings of the 3rd International Workshop on Social Information Retrieval for […]
Vuorikari, Riina; Drachsler, Hendrik; Manouselis, Nikos; Koper, Rob (Hrsg.)
Sammelband
| Aachen: RWTH | 2009
37615 Endnote
Herausgeber*innen:
Vuorikari, Riina; Drachsler, Hendrik; Manouselis, Nikos; Koper, Rob
Titel:
Proceedings of the 3rd International Workshop on Social Information Retrieval for Technology-Enhanced Learning (SIRTEL'09), Aachen, Germany, August 21, 2009. In conjunction with the 8th International Conference on Web-based Learning (ICWL 2009), RWTH Aachen, Germany, August 19-21, 2009
Erscheinungsvermerk:
Aachen: RWTH, 2009 (CEUR workshop proceedings, 535)
URL:
http://ceur-ws.org/Vol-535/
Dokumenttyp:
2. Herausgeberschaft; Sammelband (keine besondere Kategorie)
Sprache:
Englisch
Identifying the goal, user model and conditions of recommender systems for formal and informal […]
Drachsler, Hendrik; Hummel, Hans G. K.; Koper, Rob
Zeitschriftenbeitrag
| In: Journal of Digital Information | 2009
37413 Endnote
Autor*innen:
Drachsler, Hendrik; Hummel, Hans G. K.; Koper, Rob
Titel:
Identifying the goal, user model and conditions of recommender systems for formal and informal learning
In:
Journal of Digital Information, 10 (2009) 2, S. 4-24
URL:
https://journals.tdl.org/jodi/index.php/jodi/article/view/442
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache:
Englisch
Abstract:
This article addresses open questions of the discussions in the first SIRTEL workshop at the EC-TEL conference 2007. It argues why personal recommender systems have to be adjusted to the specific characteristics of learning in Learning Networks. Personal recommender systems strongly depend on the context or domain they operate in, and it is often not possible to take one recommender system with a specific purpose from one context and transfer it to another context or domain. The article describes a number of distinctive differences for personalised recommendation to learners when compared to recommendations for consumers. Similarities and differences for informal and formal learning are discussed and used to define the recommendation goal that recommender systems in informal learning networks have to address. The article further suggests an evaluation approach for recommender systems in Learning Networks. (Orig.)
Effects of the ISIS recommender system for navigation support in self-organised learning networks
Drachsler, Hendrik; Hummel, Hans; van den Berg, Bert; Eshuis, Jannes; Waterink, Wim; Nadolski, Rob; […]
Zeitschriftenbeitrag
| In: Journal of Educational Technology & Society | 2009
37415 Endnote
Autor*innen:
Drachsler, Hendrik; Hummel, Hans; van den Berg, Bert; Eshuis, Jannes; Waterink, Wim; Nadolski, Rob; Berlanga, Adriana; Boers, Nanda; Koper, Rob
Titel:
Effects of the ISIS recommender system for navigation support in self-organised learning networks
In:
Journal of Educational Technology & Society, 12 (2009) 3, S. 115-126
URL:
http://www.ifets.info/journals/12_3/11.pdf
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache:
Englisch
Abstract:
The need to support users of the Internet with the selection of information is becoming more important. Learners in complex, self-organising Learning Networks have similar problems and need guidance to find and select most suitable learning activities, in order to attain their lifelong learning goals in the most efficient way. Several research questions regarding efficiency and effectiveness deal with adequate navigation support through recommender systems. To answer some of these questions an experiment was set up within an Introduction Psychology course of the Open University of the Netherlands. Around 250 students participated in this study and were monitored over an experimental period of four months. All were provided the same course materials, but only half of them were supported with a personalised recommender system. This study examined the effects of the navigation support on the completion of learning activities (effectiveness), needed time to comply them (efficiency), actual use of and satisfaction with the system, and the variety of learning paths. The recommender system positively influenced all measures, by having significant effects on efficiency, satisfaction and variety. (Orig.)
Simulating light-weight personalised recommender systems in learning networks. A case for […]
Nadolski, Rob J.; van der Berg, Bert; Berlanga, Adriana J.; Drachsler, Hendrik; Hummel, Hans G. K.; […]
Zeitschriftenbeitrag
| In: Journal of Artificial Societies and Social Simulation | 2009
37414 Endnote
Autor*innen:
Nadolski, Rob J.; van der Berg, Bert; Berlanga, Adriana J.; Drachsler, Hendrik; Hummel, Hans G. K.; Koper, Rob; Sloep, Peter B.
Titel:
Simulating light-weight personalised recommender systems in learning networks. A case for pedagogy-oriented and rating-based hybrid recommendation strategies
In:
Journal of Artificial Societies and Social Simulation, 12 (2009) 1,4
URL:
http://jasss.soc.surrey.ac.uk/12/1/4.html
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache:
Englisch
Abstract:
Recommender systems for e-learning demand specific pedagogy-oriented and hybrid recommendation strategies. Current systems are often based on time-consuming, top down information provisioning combined with intensive data-mining collaborative filtering approaches. However, such systems do not seem appropriate for Learning Networks where distributed information can often not be identified beforehand. Providing sound way-finding support for lifelong learners in Learning Networks requires dedicated personalised recommender systems (PRS), that offer the learners customised advise on which learning actions or programs to study next. Such systems should also be practically feasible and be developed with minimized effort. Currently, such so called light-weight PRS systems are scarcely available. This study shows that simulation studies can support the analysis and optimisation of PRS requirements prior to starting the costly process of their development, and practical implementation (including testing and revision) during field experiments in real-life learning situations. This simulation study confirms that providing recommendations leads towards more effective, more satisfied, and faster goal achievement. Furthermore, this study reveals that a light-weight hybrid PRS-system based on ratings is a good alternative for an ontology-based system, in particular for low-level goal achievement. Finally, it is found that rating-based light-weight hybrid PRS-systems enable more effective, more satisfied, and faster goal attainment than peer-based light-weight hybrid PRS-systems (incorporating collaborative techniques without rating). (Orig.)
Evaluating the effectiveness of personalised recommender systems in learning networks
Drachsler, Hendrik; Hummel, Hans; Berg, Bert van den; Eshuis, Jannes; Waterink, Wim; Nadolski, Rob; […]
Sammelbandbeitrag
| Aus: Koper, Rob (Hrsg.): Learning network services for professional development | Heidelberg: Springer | 2009
37565 Endnote
Autor*innen:
Drachsler, Hendrik; Hummel, Hans; Berg, Bert van den; Eshuis, Jannes; Waterink, Wim; Nadolski, Rob; Berlanga, Adriana; Boers, Nanda; Koper, Rob
Titel:
Evaluating the effectiveness of personalised recommender systems in learning networks
Aus:
Koper, Rob (Hrsg.): Learning network services for professional development, Heidelberg: Springer, 2009 , S. 95-113
DOI:
10.1007/978-3-642-00978-5_7
URL:
https://link.springer.com/chapter/10.1007%2F978-3-642-00978-5_7
Dokumenttyp:
4. Beiträge in Sammelwerken; Sammelband (keine besondere Kategorie)
Sprache:
Englisch
Abstract:
In view of the professional development concept, learning can no longer be considered to be part of childhood and youth alone, but is becoming a lifelong achievement. Professional development no longer remains limited to the context of a regular school or university campus, but is becoming integrated into workplace learning and personal development, where formal and informal learning activities are intertwined. Professionals find themselves placed at centre-stage, which means that no longer a teacher or teaching institute is responsible for the learning process but that they now are responsible for their own learning processes (Longworth 2003; Shuell 1992). Taking up on this responsibility, professionals need to become self-directed (Brockett and Hiemstra 1991), and might be performing different learning activities in different contexts at the same time. On the one hand learners are becoming free to decide what, when, where and how they want to learn, and on the other hand they are forced to be responsible for their own professional competence development. (Orig.)
ReMashed - recommendations for mash-up personal learning environments
Drachsler, Hendrik; Pecceu, Dries; Arts, Tanja; Hutten, Edwin; Rutledge, Lloyd; […]
Sammelbandbeitrag
| Aus: Cress, Ulrike; Dimitrova, Vania; Specht, Marcus (Hrsg.): Learning in the synergy of multiple disciplines: 4th European Conference on Technology Enhanced Learning, EC-TEL 2009 Nice, France, September 29-October 2, 2009 | Heidelberg: Springer | 2009
37535 Endnote
Autor*innen:
Drachsler, Hendrik; Pecceu, Dries; Arts, Tanja; Hutten, Edwin; Rutledge, Lloyd; Rosmalen, Peter van; Hummel, Hans; Koper, Rob
Titel:
ReMashed - recommendations for mash-up personal learning environments
Aus:
Cress, Ulrike; Dimitrova, Vania; Specht, Marcus (Hrsg.): Learning in the synergy of multiple disciplines: 4th European Conference on Technology Enhanced Learning, EC-TEL 2009 Nice, France, September 29-October 2, 2009, Heidelberg: Springer, 2009 , S. 788-793
DOI:
10.1007/978-3-642-04636-0_85
URL:
https://link.springer.com/chapter/10.1007%2F978-3-642-04636-0_85
Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Abstract:
The following article presents a Mash-Up Personal Learning Environment called ReMashed that recommends learning resources from emerging information of a Learning Network. In ReMashed learners can specify certain Web2.0 services and combine them in a Mash-Up Personal Learning Environment. Learners can rate information from an emerging amount of Web2.0 information of a Learning Network and train a recommender system for their particular needs. ReMashed therefore has three main objectives: 1. to provide a recommender system for Mash-up Personal Learning Environments to learners, 2. to offer an environment for testing new recommendation approaches and methods for researchers, and 3. to create informal user-generated content data sets that are needed to evaluate new recommendation algorithms for learners in informal Learning Networks. (Orig.)
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