scholarly journals Implementing Mobile Environments using Learning Objects: The Athabasca University Digital Reading Room

2006 ◽  
Author(s):  
R. McGreal ◽  
B. Cheung ◽  
T. Tin ◽  
S. Schafer
Keyword(s):  
Learning Objects ◽  
Reading Room ◽  
Mobile Environments ◽  
Digital Reading

scholarly journals Formalization of Learning Objects for Image-based Language Learning in Mobile Environments

2014 ◽  
Vol 116 ◽  
pp. 3905-3910 ◽  
Author(s):  
Oleg Starostenko ◽  
Claudia Perez-Lezama ◽  
V. Alarcon-Aquino ◽  
J. Alfredo Sanchez
Keyword(s):  
Language Learning ◽  
Learning Objects ◽  
Mobile Environments

scholarly journals User Evaluation of an Innovative Digital Reading Room

2011 ◽  
Vol 25 (3) ◽  
pp. 337-346 ◽  
Author(s):  
Akilah Hugine ◽  
Stephanie Guerlain ◽  
Alan Hedge
Keyword(s):  
User Evaluation ◽  
Reading Room ◽  
Digital Reading

The digital reading room and clinical evaluation project of the Dutch PACS project in the Utrecht University Hospital (AZU)

1988 ◽  
Vol 13 (4) ◽  
pp. 303-305 ◽  
Author(s):  
B. M. Ter Haar Romeny ◽  
F. H. Barneveld Binkhuysen ◽  
K. J. Zuiderveld ◽  
H. Wilmink ◽  
A. J. Achterberg ◽  
...  
Keyword(s):  
Clinical Evaluation ◽  
University Hospital ◽  
Reading Room ◽  
Digital Reading ◽  
Evaluation Project

Recommending Academic Papers for Learning Based on Information Filtering Applied to Mobile Environments

2015 ◽  
pp. 2159-2178
Author(s):  
Sílvio César Cazella ◽  
Jorge Luiz Victória Barbosa ◽  
Eliseo Berni Reategui ◽  
Patricia Alejandra Behar ◽  
Otavio Costa Acosta
Keyword(s):  
Learning Environment ◽  
Recommender Systems ◽  
Mobile Devices ◽  
Mobile Learning ◽  
Recommender System ◽  
Information Filtering ◽  
Likert Scale ◽  
Learning Objects ◽  
Mobile Environments ◽  
Proposed Model

Mobile learning is about increasing learners' capability to carry their own learning environment along with them. Recommender Systems are widely used nowadays, especially in e-commerce sites and mobile devices, for example, Amazon.com and Submarino.com. In this chapter, the authors propose the use of such systems in the area of education, specifically for the recommendation of learning objects in mobile devices. The advantage of using Recommender Systems in mobile devices is that it is an easy way to deliver recommendations to students. Based on this scenario, this chapter presents a model of a recommender system based on information filtering for mobile environments. The proposed model was implemented in a prototype aimed to recommend learning objects in mobile devices. The evaluation of the received recommendations was conducted using a Likert scale of 5 points. At the end of this chapter, some future works are described.

scholarly journals „Debesų“ technologijos šiuolaikinėje bibliotekoje. Elektroninės skaityklos

2013 ◽  
Vol 64 ◽  
pp. 113-132
Author(s):  
Angelė Pečeliūnaitė
Keyword(s):  
Cloud Computing ◽  
Reading Room ◽  
Digital Reading ◽  
Electronic Information ◽  
Third Place ◽  
Modern Library ◽  
The World ◽  
Library Program ◽  
Community Cloud ◽  
Saas Cloud

Straipsnyje aktualinamos šiuolaikinių bibliotekų elektroninės informacijos paslaugos. Siekiant jų efektyvumo ir kuo geriau tenkinti išaugusius informacijos vartotojų poreikius, siūlomi alternatyvūs projektinei veiklai būdai – „debesų“ technologijos. Šie technologiniai sprendimai turėtų palengvinti bibliotekų išgyvenimo problemas ir suteiktų galimybių siūlyti naujas elektronines paslaugas – virtualias elektronines skaityklas.Aptariami pasikeitę skaitytojų informacijos poreikiai, identifikuojamos bibliotekų problemos ir iššūkiai, kuriuos jos turi įveikti, kad maksimaliai patenkintų vartotojų poreikius. Kaip vykdomos bibliotekų projektinės veiklos alternatyvą autorė parodo kitas galimybes. Paaiškinus „debesų“ technologijų esmę, analizuojamos „debesų“ technologijų paslaugos, kurios padėtų sukurti virtualią biblioteką „debesyje“. Perkeliant skaitmeninius bibliotekos fondus į „debesį“, dalį bibliotekos problemų išspręstų „debesų“ paslaugos teikėjas. Straipsnio autorė siūlo virtualios bibliotekos „debesyje“ struktūrinę schemą, pagal kurią sumodeliuota biblioteka ne tik teiktų tradicines informacijos paslaugas, bet ir galėtų tapti trečiąja vieta internete. Įvardijama naujos kartos bibliotekos paslauga – virtuali elektroninė skaitykla, apibrėžiamos funkcinės jos galimybės. Šios įžvalgos yra grindžiamos mokslinių straipsnių ir ekspertų apibendrinimų analize, pasaulio mokslininkų ir praktikų atliktais bandymais.Pagrindiniai žodžiai: šiuolaikinė biblioteka, „debesų“ technologijos, „debesų“ paslaugos (SaaS, IaaS, PaaS, LaaS), „debesų“ modeliai, skaitmeninė biblioteka, skaitmeninės informacijos valdymas, virtuali biblioteka „debesyje“, virtuali elektroninė skaitykla.Cloud computing in modern library. Digital reading roomAngelė Pečeliūnaitė Summary The article actualizes electronic information services provided by a library. In order to better meet the in­creased needs of the readers, we propose to use the Cloud Computing technologies. These technological solutions facilitate the libraries’ “survival” issues and make it possible to offer the next-generation e-services – virtual digital reading rooms. The paper discusses changes of the readers’ in­formation needs, the identified problems and chal­lenges of libraries. The author models the flowchart of the modern library in the Community Cloud by applying the IaaS and SaaS Cloud Computing ser­vices. The proposed library structure provides a vir­tual space as desktop, which is identified as a virtual digital reading room whose features and options for users are discussed. Lent control of digital editions is offered by the 3M Cloud Library program which is tested in the world practice. According to the pro­posed scheme, the modeled virtual Cloud Library ef­fectively meets consumers’ needs and has become a library as a third place online.

The Athabasca University Library Digital Reading Room: an iPhone prototype implementation

M-Libraries 2 ◽  
2018 ◽  
pp. 109-114
Author(s):  
Rory McGreal ◽  
Hongxing Geng ◽  
Tony Tin ◽  
Darren James Harkness
Keyword(s):  
Reading Room ◽  
Digital Reading ◽  
Prototype Implementation ◽  
University Library

Recommending Academic Papers for Learning Based on Information Filtering Applied to Mobile Environments

2014 ◽  
pp. 120-140 ◽  
Author(s):  
Sílvio César Cazella ◽  
Jorge Luiz Victória Barbosa ◽  
Eliseo Berni Reategui ◽  
Patricia Alejandra Behar ◽  
Otavio Costa Acosta
Keyword(s):  
Learning Environment ◽  
Recommender Systems ◽  
Mobile Devices ◽  
Mobile Learning ◽  
Recommender System ◽  
Information Filtering ◽  
Likert Scale ◽  
Learning Objects ◽  
Mobile Environments ◽  
Proposed Model

Mobile learning is about increasing learners' capability to carry their own learning environment along with them. Recommender Systems are widely used nowadays, especially in e-commerce sites and mobile devices, for example, Amazon.com and Submarino.com. In this chapter, the authors propose the use of such systems in the area of education, specifically for the recommendation of learning objects in mobile devices. The advantage of using Recommender Systems in mobile devices is that it is an easy way to deliver recommendations to students. Based on this scenario, this chapter presents a model of a recommender system based on information filtering for mobile environments. The proposed model was implemented in a prototype aimed to recommend learning objects in mobile devices. The evaluation of the received recommendations was conducted using a Likert scale of 5 points. At the end of this chapter, some future works are described.

Volunteering in culture within the projects of the German Reading Room of A. M. Gorky Regional Library

2020 ◽  
Author(s):  
Tatiana Makshakova ◽  
Keyword(s):  
Reading Room

The experience of mutually beneficial cooperation of the German Reading Room and volunteers is discussed. Various forms of club and project activities are analyzed to be addressed when managing volunteering.

Universally Composable NBAC-Based Fair Voucher Exchange for Mobile Environments

2011 ◽  
Vol E94-A (6) ◽  
pp. 1263-1273
Author(s):  
Kazuki YONEYAMA ◽  
Masayuki TERADA ◽  
Sadayuki HONGO ◽  
Kazuo OHTA
Keyword(s):  
Mobile Environments
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