scholarly journals PerLCol: A Framework for Personalized e-Learning with Social Collaboration Support

2020 ◽  
Vol 9 (3) ◽  
pp. 483-493
Author(s):  
Naoufel Kraiem ◽  
Zuhoor AlKhanjari ◽  
Yassine Jamoussi ◽  
Amal Al Abri
Author(s):  
Dejana Diziol ◽  
Nikol Rummel

Research on collaborative e-learning has often shown the effectiveness of students’ interaction on their group performance and their individual learning outcomes. However, these positive effects cannot always be found. Collaboration assistance such as pre-collaboration training and collaboration scripts have been shown to support student interaction and problem-solving. When developing assistance for collaboration, teachers and designers must make decisions concerning the processes the support should target, the timing of support, and the interplay of support on multiple levels. The framework we introduce in this book chapter describes these dimensions in detail. We present advantages and disadvantages of different design options, and give an example from our own research to exemplify the design of an e-learning environment that provides collaboration support. We discuss how the circumstances of any particular learning situation might influence which type of support is optimal, and conclude the book chapter with a discussion of possible future developments.


2011 ◽  
Vol 2 (2) ◽  
pp. 20-33
Author(s):  
Ching-Long Yeh ◽  
Chun-Fu Chang ◽  
Po-Shen Lin

The trend of services on the web is making use of resources on the web collaborative. Semantic Web technology is used to build an integrated infrastructure for the new services. This paper develops a distributed knowledge based system using the RDF/OWL technology on peer-to-peer networks to provide the basis of building personal social collaboration services for e-Learning. This paper extends the current tools accompanied with lecture content to become annotation sharable using the distributed knowledge base.


Author(s):  
Ching-Long Yeh ◽  
Chun-Fu Chang ◽  
Po-Shen Lin

The trend of services on the web is making use of resources on the web collaborative. Semantic Web technology is used to build an integrated infrastructure for the new services. This paper develops a distributed knowledge based system using the RDF/OWL technology on peer-to-peer networks to provide the basis of building personal social collaboration services for e-Learning. This paper extends the current tools accompanied with lecture content to become annotation sharable using the distributed knowledge base.


Author(s):  
Amal Alabri ◽  
Zuhoor Al-Khanjari ◽  
Yassine Jamoussi ◽  
Naoufel Kraiem

Providing personalized e-learning environment is normally relying on a domain model representing the knowledge to be acquired by learners and learners’ characteristics to be used in the personalization process. Therefore, constructing the domain model and understanding the characteristics of the learners are very crucial in such an environment. With the inclusion of social collaboration tools for collaborative learning activities, the generated data during conversations enrich with valuable information to be used for personalization. However, when considering chat conversations as a source for constructing the domain model, there is a need to perform a mining technique for chat conversations in order to extract the semantic relations from the user-generated contents hidden inside these conversations. As well as the learner’s characteristics like learning style and knowledge level expressed during conversations. Thus in this paper, we are aiming for the best utilization of chat conversation by proposing a model containing a rule-based technique as a form of mining technique. This mining aims at extracting the semantic relations to build the domain model as an ontology-based depiction. In addition, the mining model is proposed to perform some collaborative filtering techniques to identify the learning styles and knowledge level of the learners.


ASHA Leader ◽  
2007 ◽  
Vol 12 (14) ◽  
pp. 24-25 ◽  
Author(s):  
Gloria D. Kellum ◽  
Sue T. Hale

Pflege ◽  
2018 ◽  
Vol 31 (4) ◽  
pp. 213-222
Author(s):  
Eva Evers ◽  
Sabine Hahn ◽  
Petra Metzenthin

Zusammenfassung. Hintergrund: Gesundheitsschädigender Alkoholkonsum ist weltweit der drittgrößte Risikofaktor für verschiedene Krankheiten und führt in der Schweiz zu 1.600 Todesfällen pro Jahr. Durch frühzeitiges Erkennen und präventive Maßnahmen können alkoholbezogene Krankheiten und Todesfälle verringert werden. Pflegefachpersonen nehmen dabei eine entscheidende Rolle ein. Jedoch stellen sich mangelndes Fachwissen, persönliche Einstellungen und Unsicherheiten als hindernde Faktoren dar. Schulungen helfen, diese Hindernisse zu überwinden. Ziel: Das Ziel der Studie war, die Auswirkungen eines E-Learning zum gesundheitsschädigenden Alkoholkonsum auf das Fachwissen, die Einstellung und die Selbsteinschätzung der Kompetenzen von Pflegefachpersonen eines Akutspitals zu untersuchen. Methode: Es wurde eine Prätest-Posttest-Studie durchgeführt. Im Zeitraum von Dezember 2013 bis März 2014 wurden insgesamt 33 diplomierte Pflegefachpersonen vor und nach der Durchführung des E-Learning befragt. Die Befragung erfolgte mithilfe eines literaturbasiert entwickelten Fragebogens. Ergebnisse: Das Fachwissen und die Selbsteinschätzung der Kompetenzen zeigten signifikante Verbesserungen. Eine Veränderung der Einstellung konnte nicht nachgewiesen werden. Schlussfolgerungen: Durch den Wissenszuwachs und die höher eingeschätzten Kompetenzen konnten Unsicherheiten abgebaut und das Vertrauen in die eigenen Fähigkeiten gestärkt werden. Um auch die Entwicklung wertneutraler Einstellungen gegenüber den Betroffenen zu fördern, wird empfohlen, neben dem E-Learning und der Einführung von Richtlinien, Präsenzveranstaltungen mit Möglichkeiten zum Austausch untereinander anzubieten.


PADUA ◽  
2007 ◽  
Vol 2 (3) ◽  
pp. 3-66
Keyword(s):  

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