In the era of internet, universities and higher education institutions are increasingly tend to provide e-learning. For suitable planning and more enjoying the benefits of this educational approach, a model for measuring success of e-learning systems is essential. So in this paper, we try to survey and present a model for measuring success of e-learning systems in universities. For this purpose, at first, according to literature review, a conceptual model was designed. Then, based on opinions of 33 experts, and assessing their suggestions, research indicators were finalized. After that, to examine the relationships between components and finalize the proposed model, a case study was done in 5 universities: Amir Kabir University, Tehran University, Shahid Beheshti University, Iran University of Science & Technology and Khaje Nasir Toosi University of Technology. Finally, by analyzing questionnaires completed by 369 instructors, students and alumni, which were e-learning systems user, the final model (MELSS Model).

A model for measuring e-learning systems success in universities

http://www.univ-soukahras.dz/eprints/2016-1-6017f.pdf

Exploring user satisfaction for e-learning systems via usage-based metrics and system usability scale analysis

International Journal of Mobile Computing and Multimedia Communications: Guest editorial preface

Traditionally, research on model-driven engineering (MDE) has mainly focused on the use of models at the design, implementation, and verification stages of development. This work has produced relatively mature techniques and tools that are currently being used in industry and academia. However, software models also have the potential to be used at runtime, to monitor and verify particular aspects of runtime behavior, and to implement self-* capabilities (e.g., adaptation technologies used in self-healing, self-managing, self-optimizing systems). A key benefit of using models at runtime is that they can provide a richer semantic base for runtime decision-making related to runtime system concerns associated with autonomic and adaptive systems. This book is one of the outcomes of the Dagstuhl Seminar 11481 on models@run.time held in November/December 2011, discussing foundations, techniques, mechanisms, state of the art, research challenges, and applications for the use of runtime models. The book comprises four research roadmaps, written by the original participants of the Dagstuhl Seminar over the course of two years following the seminar, and seven research papers from experts in the area. The roadmap papers provide insights to key features of the use of runtime models and identify the following research challenges: the need for a reference architecture, uncertainty tackled by runtime models, mechanisms for leveraging runtime models for self-adaptive software, and the use of models at runtime to address assurance for self-adaptive systems.

Models@run.time: foundations, applications, and roadmaps

Sans avoir la pretention d'expliquer le but et les moyens d'un art arrive deja a une realisation assez avancee, je vais tâacher de repondre, autant que cela est possible, a une des questions les plus souvent posees devant les tableaux modernes. Je transcris cette question dans toute sa simplicite : "Qu'est-ce que cela represente ?" Je me fixe donc comme but cette simple interrogation et je vais m'efforcer dans un expose tres court d'en prouver la parfaite inanite. 
 
--Fernand Leger, Fonctions de la Peinture 
 
The point of view of Leger is agreed on by many modern and contemporary artists and critics; art suggests emotions, interpretations, meanings, mediated by the viewer's experience, mood and mind. After the Impressionists' lesson, the question "What does it represent?" may have different answers according to who asks it. Picasso used to say in Picasso on Art: "People who try to explain pictures are usually barking up the wrong tree." 
 
In the world of computers and technological artifacts, emotions and interpretationsmust not supersede the meaning that the designer of an interface, of amessage, of a dialogue has conceived to make an artifact usable and effective.Hence, the Advanced User Interfaces community opposes to Leger, accepts the challenge and tries to propose visual and perceptual interfaces which abstract from housekeeping and technical details, to be concrete and expressive to their users. In front of a visual interface, humans should not only understand the virtual world behind it, but also be empowered, able to be consumers and producers of knowledge through computing, participant to a human collective mind. 
 
The invited speakers of this edition of AVI, the eighth of the series, explore these perspectives from different points of view. Riccardo Rabagliati, Dean of the Venice Academy of Fine Arts, Italy, explores the realm of interactive art, confronting the complementary skills needed to conceive an artwork through new technologies. Gerhard Fischer, Director of the Center for LifeLong Learning and Design (L3D) of the University of Colorado, USA, explores visualization as a dimension of distributed intelligence, seen as an effective framework for understanding what humans can achieve and how artifacts and tools can be designed and evaluated to empower human beings and empower their tasks. Elizabeth Mynatt, Director of the GVU Center at Georgia Institute of Technology, USA, illustrates the nascent relationship between people and computation, driven by the emergence of people as equally, and interchangeably, consumers and producers of the computing experience. 
 
However, the danger to be an inane designer is always present. How to avoid this trap is collectively addressed by 32 full papers (which are one fourth of the submissions in their category), 45 short papers and 10 system papers, demonstrating prototypes and working experiences. They reflect, out of the about 200 papers submitted, variegated experiences brought to Venice by authors of nineteen countries worldwide. 
 
Three satellite workshops have been associated to AVI 2006. BELIV06--Beyond Time and Errors: Novel Evaluation Methods for Information Visualization has been organized by Enrico Bertini and Giuseppe Santucci, Universita di Roma "La Sapienza", Italy, and by Catherine Plaisant, University of Maryland, USA. Context in Advanced Interfaces has been organized by Kris Mihalic and Manfred Tscheligi, University of Salzburg, Austria, and by Alexander Braendle and Marco Combetto, Microsoft Research Cambridge, UK. The third workshop, Gender and Interaction: Real and Virtual Women in a Male World, has been organized by Antonella De Angeli, University of Manchester, UK, and by Nadia Bianchi-Berthouze, UCL, UK. 
 
Finally, two tutorials, offered by Mark Maybury, The MITRE Corporation, USA, and by Monique Noirhomme-Fraiture, University of Namur, Belgium, survey the Intelligent Visual Interfaces, and the Statistics for Visual Interface Evaluation.

Proceedings of the Working Conference on Advanced Visual Interfaces (AVI2006)

Smart environments bring together multiple users, (interaction) resources and services. This creates complex and unpredictable interactive computing environments that are hard to understand. Users thus have difficulties to build up their mental model of such interactive systems. To address this issue users need possibilities to evaluate the state of these systems and to adapt them according to their needs. In this work we present our implementation of the functionalities to evaluate and control multimodal interaction in smart environments, which is accessible for users through a meta user interface.

/pdf/a-meta-user-interface-to-control-multimodal-interaction-in-36hewfe9df.pdf

A meta user interface to control multimodal interaction in smart environments

The availability of numerous networked interaction devices within smart environments makes the exploitation of these devices for innovative and more natural interaction possible. In our work we make use of TVs with remote controls, picture frames, mobile phones, touch screens, stereos and PCs to create multimodal user interfaces. The combination of the interaction capabilities of the different devices allows to achieve a more suitable interaction for a situation. Changing situations can then require the dynamic redistribution of the created interfaces and the alteration of the used modalities and devices to keep up the interaction. In this paper we describe our approach for dynamically (re-) distributing user interfaces at run-time. A distribution component is responsible for determining the devices for the interaction based on the (changing) environment situation and the user interface requirements. The component provides possibilities to the application developer and to the user to influence the distribution according to their needs. A user interface model describes the interaction and the modality relations according to the CARE properties (Complementarity, Assignment, Redundancy and Equivalency) and a context model gathers and provides information about the environment.

Dynamic user interface distribution for flexible multimodal interaction

The developments in computer technology in the last decade change the ways of computer utilization. The emerging smart environments make it possible to build ubiquitous applications that assist users during their everyday life, at any time, in any context. But the variety of contexts-of-use (user, platform and environment) makes the development of such ubiquitous applications for smart environments and especially its user interfaces a challenging and time-consuming task. We propose a model-based approach, which allows adapting the user interface at runtime to numerous (also unknown) contexts-of-use. Based on a user interface modelling language, defining the fundamentals and constraints of the user interface, a runtime architecture exploits the description to adapt the user interface to the current context-of-use. The architecture provides automatic distribution and layout algorithms for adapting the applications also to contexts unforeseen at design time. Designers do not specify predefined adaptations for each specific situation, but adaptation constraints and guidelines. Furthermore, users are provided with a meta user interface to influence the adaptations according to their needs. A smart home energy management system serves as running example to illustrate the approach.

Dynamic Distribution and Layouting of Model-Based User Interfaces in Smart Environments

Computer technology is currently changing our lives and the way we handle technology. The computer moves from a business machine dedicated to specific tasks in a well defined environment to a universal problem solver in all areas of live. Powerful mobile devices that are always online, and the ongoing paradigm shift towards ubiquitous computing concepts (Weiser, 1993) provide increasingly complex functionality and allow remote access to additional services and information. Wireless ad-hoc network technologies and the upcoming Internet of Things AbsTRACT

Ubiquitous User Interfaces: Multimodal Adaptive Interaction for Smart Environments

Adaptive user interfaces are commonly used for providing different layouts and information according to the current context-of-use. However, the complexity and heterogeneity of potential users, platforms and environments lead to a combinatorial explosion of variants, making it almost impossible to foresee all potential results of adaptations at design time. In this paper we present our work on the automatic evaluation of usability aspects of adaptive user interfaces at runtime which is supposed to be used complementary to design time usability evaluation. We show how a user interface model, providing different adaptation alternatives, can be combined with a model of the current user to simulate interaction and evaluate the feasibility of different adaptations.

/pdf/evaluating-user-interface-adaptations-at-runtime-by-4ap6p6o4vw.pdf

Evaluating user interface adaptations at runtime by simulating user interaction

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