Proficiency-aware systems

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jakob Karolus ◽  
Paweł W. Woźniak

Abstract In an increasingly digital world, intelligent systems support us in accomplishing many everyday tasks. With the proliferation of affordable sensing devices, inferring user states from collected physiological data paves the way to tailor-made adaptation. While estimating a user’s abilities is technically possible, such proficiency assessments are rarely employed to benefit the user’s task reflection. In our work, we investigate how to model and design for proficiency estimation as part of context-aware systems. In this paper, we present the definition and conceptual architecture of proficiency-aware systems. The concept is not only applicable to current adaptive systems but provides a stepping stone for systems which actively aid in developing user proficiency during interaction.

Author(s):  
Natalie Spadafora ◽  
Zopito Marini

Changes in both the landscape of education and digital technology are giving rise to interesting, innovative, and potentially effective pedagogical possibilities. As educators of the 21st century, we are witnessing continuous changes in the way we teach as well as the way students learn. This study is a part of an ongoing research program aimed at evaluating the pedagogical effectiveness of blended teaching. More specifically, this paper aims to describe some of our reflections as we developed, delivered, and carried out an evaluation of a university course taught using a blended format. Undergraduate students (n=109) in a fourth-year capstone course participated in this study. We report on the students’ perceptions of the effectiveness of the delivery method of the course, while focusing on the struggles they encountered, including difficulties keeping up with the course content, particularly on the weeks where the lecture was online, as well as a struggle to stay organized and connected with their peers and their assignments. Self-regulation turned out to be a major determinant of success in this type of course. We conclude with suggestions to improve students’ social and academic experiences as they navigate learning in a digital world. Les changements survenus à la fois dans le paysage de l’éducation et dans la technologie numérique donnent naissance à des possibilités pédagogiques intéressantes, innovatrices et potentiellement efficaces. En tant qu’éducateurs du XXIe siècle, nous assistons à des changements continus dans la manière dont nous enseignons ainsi que dans la manière dont les étudiants apprennent. Cette étude s’inscrit dans le cadre d’un programme de recherche en cours qui a pour objectif d’évaluer l’efficacité pédagogique de l’enseignement hybride. Plus spécifiquement, cet article vise à décrire certaines de nos réflexions au fur et à mesure que nous élaborons, livrons et exécutons l’évaluation d’un cours universitaire enseigné selon un format hybride. Des étudiants de premier cycle (n=109) inscrits dans un tout dernier cours de quatrième année ont participé à cette étude. Nous présentons un rapport sur la manière dont les étudiants ont perçu l’efficacité de la méthode employée pour enseigner ce cours, tout en mettant l’accent sur les problèmes qu’ils ont rencontrés, y compris les difficultés à faire face au contenu du cours, en particulier durant les semaines où les cours magistraux étaient présentés en ligne, ainsi que sur leurs difficultés à rester organisés et connectés avec leurs camarades de classe et avec leurs devoirs. Il s’avère que l’autorégulation est un élément important pour la réussite de ce type de cours. Pour conclure, nous présentons des suggestions pour améliorer l’expérience sociale et académique des étudiants dans leur parcours de l’apprentissage au sein d’un monde numérique.


2011 ◽  
pp. 314-342
Author(s):  
Bastian Koller ◽  
Giuseppe Laria ◽  
Paul Karaenke ◽  
András Micsik ◽  
Henar Muñoz Frutos ◽  
...  

Addressing the requirements of academic end users, the Grid paradigm and its underlying technologies was in past developed and evolved neglecting the needs of potential business end users. Nowadays the trend changed towards the use of Grid technologies within electronic business (e-Business) which at the same time requires adapting existing technologies to allow for more flexible, intelligent and reliable support for business stakeholders. The BREIN project was the first one integrating two so far parallel evolving domains into the Grid, namely multi-agent and semantics. By this, the Grid was enhanced to provide the requested capabilities from business end users. This chapter will show the rationale behind the performed developments and the way how BREIN addresses its four main objectives of enabling and/or enhancing: (i) Autonomy and Automation, (ii) Self-Optimization, (iii) Context-Aware Security, (iv) Reduced Complexity of Use with a dedicated focus on the major pillars of the framework, Virtual Organizations (VOs) and Service Level Agreements (SLAs). With that, a generic solution is presented, which can be applied to a variety of distinct application areas.


AI Magazine ◽  
2015 ◽  
Vol 36 (2) ◽  
pp. 42-49 ◽  
Author(s):  
Stacy Lovell Pfautz ◽  
Gabriel Ganberg ◽  
Adam Fouse ◽  
Nathan Schurr

For humans and automation to effectively collaborate and perform tasks, all participants need access to a common representation of potentially relevant situational information, or context. This article describes a general framework for building context-aware interactive intelligent systems that comprises three major functions: (1) capture human-system interactions and infer implicit context; (2) analyze and predict user intent and goals; and (3) provide effective augmentation or mitigation strategies to improve performance, such as delivering timely, personalized information and recommendations, adjusting levels of automation, or adapting visualizations. Our goal is to develop an approach that enables humans to interact with automation more intuitively and naturally that is reusable across domains by modeling context and algorithms at a higher-level of abstraction. We first provide an operational definition of context and discuss challenges and opportunities for exploiting context. We then describe our current work towards a general platform that supports developing context-aware applications in a variety of domains. We then explore an example use case illustrating how our framework can facilitate personalized collaboration within an information management and decision support tool. Future work includes evaluating our framework.


2016 ◽  
Vol 78 (5-6) ◽  
Author(s):  
Muhammad Syafiq Noor Azizi ◽  
Azahari Salleh ◽  
Adib Othman ◽  
Nor Azlan Mohd Aris ◽  
Najmiah Radiah Mohamad

In modern telemedicine systems the physiological data of patients can be measured with the aid of electronic sensors located on and inside the human body. The collected medical data is then transmitted wirelessly to an external unit for processing, thereby enhancing the health monitoring, diagnosis, and therapy of the patients. In biomedical application, the process requires transmitting data, images and videos from inside the body taken by a radio system of a size of a pill seems to be the way. The use of non-ionizing electromagnetic radiation in various areas like medical application has arisen the electromagnetic radiation problem. The services provided by this type of application can cause either good or bad effects on human body depending on the power level, frequency and the way it being used. The implant antenna with ultra-wideband (UWB) frequency will be used by inserting it into the nerve of human arm in term of homogenous model. Ultra-wideband (UWB) is a wireless technology that potential applications in variety of medical areas such as implant wireless sensors, microwave hyperthermia, imaging and radar. It can transmit digital data over a wide frequency spectrum with very low power and at very high data rates. Hence, this paper present the non-ionizing electromagnetic radiation effect on electrical nerve fiber of human arm model with the presence of other human tissues such as fat, muscle, skin and etc. at ultra-wideband frequency which is expected to improve the understanding of radio propagation inside human body hence contribute to more advance and innovative medical implants. CST Microwave Studio is one of the EM modeling code which can be used for bio electromagnetic purpose.


AI Magazine ◽  
2017 ◽  
Vol 38 (3) ◽  
pp. 25-36 ◽  
Author(s):  
Katie Atkinson ◽  
Pietro Baroni ◽  
Massimiliano Giacomin ◽  
Anthony Hunter ◽  
Henry Prakken ◽  
...  

The field of computational models of argument is emerging as an important aspect of artificial intelligence research. The reason for this is based on the recognition that if we are to develop robust intelligent systems, then it is imperative that they can handle incomplete and inconsistent information in a way that somehow emulates the way humans tackle such a complex task. And one of the key ways that humans do this is to use argumentation either internally, by evaluating arguments and counterarguments‚ or externally, by for instance entering into a discussion or debate where arguments are exchanged. As we report in this review, recent developments in the field are leading to technology for artificial argumentation, in the legal, medical, and e-government domains, and interesting tools for argument mining, for debating technologies, and for argumentation solvers are emerging.


Author(s):  
Wilfried Elmenreich ◽  
◽  
Imre J. Rudas ◽  

This issue contains selected papers from the International IEEE Conference on Computational Cybernetics that took place in August 2003 in Hungary at the site of lake Balaton. Computational Cybernetics is the synergetic integration of Cybernetics and Computational Intelligence techniques. Cybernetics was defined by Wiener as "the science of control and communication, in the animal and the machine". The word "cybernetics" itself stems from the Greek "kybernetes" that means pilot or governor. Thus, the science of computational Cybernetics is especially concerned with the comparative study of automatic control systems. Furthermore, Computational Cybernetics covers not only mechanical, but biological (living), social and economical systems and for this uses computational intelligence based results of communication theory, signal processing, information technology, control theory, the theory of adaptive systems, the theory of complex systems (game theory, operational research), and computer science. We have selected 14 papers from the conference covering the fields of system design and modeling, neural networks, and fuzzy control, which resemble the great variety of computational cybernetics. While it is sometimes difficult to integrate over these differing fields, we expect the evolution of future intelligent systems at the service of mankind by the synergetic integration of these different areas. It is our hope that the papers in this issue will inspire and help our readers in the development of advanced intelligent systems.


Sign in / Sign up

Export Citation Format

Share Document