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In the open source community such as GitHub, developers usually need to find projects similar to their work, with the aim to reuse their functions and explore ideas of features that could be possibly added into their project at hand. Traditional text search engine can help detect similar resources. However, it is difficult for developers to use in open source community because a few query words cannot...
Ubiquitous Learning Environments (ULEs) - or Technology Rich Classrooms - are created to combine real and virtual learning environments in order to produce richer study artifacts to support both instructors and students in the teaching/learning process. However, they produce a huge volume of Learning Objects (LOs), often unstructured, which makes retrieving and presenting them a challenge, especially...
A social health care system, and palliative care in particular, can be viewed as a social network of interacting patients and care providers. Each patient in the network has a set of capabilities to perform his or her intended daily tasks. However, some patients may not have the required capabilities to carry out their desired tasks. Consequently, different groups of care providers offer the patients...
In this paper, we introduce a pruning algorithm which removes aged user ratings from the rating database used by collaborative filtering algorithms, in order to (1) improve prediction quality and (2) minimize the rating database size, as well as the rating prediction generation time. The proposed algorithm needs no extra information concerning the items' characteristics (e.g. categories that they...
Growing attention is being paid to the use of game-based learning in education, due to the rapid progress of information technology Internet. Students need to cultivate not only their own abilities, but also the ability of collaboration after graduation. However, collaboration must be directed by appropriate guidance in order to demonstrate the expected results, the rules of the game guide can be...
In this study is explored the changing path of e-Learning discipline since its appearance to nowadays. E-Learning has evolved in different ways in different sectors therefore it might have different implications in certain periods of time in certain sector. A small number of things have changed in the last half century as much as the way we learn. Consequently, a significant research is going on throughout...
This paper presents the experience of designing, implementing and evaluating a first semester project-based course for the software engineering bachelors undergraduate curriculum at PUC-MG in Brazil in 2016. We present an overview of the motivation behind the curriculum and the challenges and restrictions considering the generation of students who are going to follow it. The methodology of the course,...
In this paper, we will describe a statistical study of data analyzed by SPSS software. The aim of our study is to show the importance of sharing emotional states between learners during online communication, which helps to create an adequate environment and a positive cognitive exchange between the teammates. Our study is based on three stages. The first, discussed the satisfaction of learners with...
Big data based user authentication is a new approach that leverages the power of Big Data analytics to develop a fertile field for the next generation user authentication. This new approach relies on “something you do”-based verification methods, where the users' dynamic behaviors are analyzed in order to generate real-time uniquely identifiable information about them. Once the unique user's identification...
Nowadays recommender systems are developed to provide information for users to choose the best things that they want. Recently different collaborative filtering techniques have been successfully employed to provide precise recommendations. However, sparsity problem is still considered as an important remained challenges. Existing CF based recommendation methods generally focus on positive similarities...
SkillsRec recommender (Skills based Recommender) is a novel Latent Semantic Analysis model driven recommendation system for online Personal Learning Environments that develops skill-similarity based user-user recommendations through semantically analyzing teacher-competencies and learner-interests. The recommender provides a solution to the inherent, massive and exponentially increasing information-overload...
High-speed wireless services have achieved remarkable rates of growth in recent years. In order to survive in this competitive market, high levels of service performance are an effective way to improve customer satisfaction and loyalty. This paper aims to identify the best service provider in a heterogeneous wireless network so that we differentiate the quality of service (QoS) and provide a framework...
With the advent of e-commerce, there are hundreds of websites being deployed and each site offers millions of products. This means that a substantial amount of information is being provided by these websites which cause the problem of information overload and in turn results in reduced customer satisfaction and interest. Recommender systems are designed to overcome such problems. They are intelligent...
With AI celebrating its 60th anniversary, questions arise of when (not even if) a computational system will be able to understand humor. These questions open up interesting opportunities, but point out areas of research that yet are insufficient for informal human computer communication. This paper looks at computational humor as a way of verifying computational understanding of text (written or verbal)...
In seeking solutions to the engagement of STEM learners, the research community has offered approaches on both the learning technology and STEM pedagogy fronts. These approaches are predominantly being developed in parallel with negligible empirical studies as to the integration of applied learning theory and delivery technology. To compound this challenge there exists the critical component of developing...
Recommender systems are proven to be valuable in course of time. From the development of web and ecommerce, the amount of online information has grown rapidly, which produces the big data analysis problem. Conventional recommender systems undergoes through scalability and inefficiency problems in processing of big data. Besides, most of existing recommendation systems present the same static ratings...
Learning Analytics is the measurement, analysis, and reporting of data about learners and their contexts, for the purposes of understanding and optimizing learning and the environments in which it occurs. Civitas Learning has created a suite of learning analytics tools and employed early versions of this software at Valencia College in Orlando, Florida. We explore the use of this tool in three instructors'...
This paper presents issues of computer programming and results of controlled experiment conducted to evaluate and understand the significance of pair programming in the teaching of programming. It involved 42 second year students attending object-oriented programming in Java, CISM 214 module as an elective at our institution. The experiment assessed the time for task completion, code correctness and...
Unnat Bharat Abhiyan, an ambitious project with the support of the Ministry of Human Resource Development, Government of India, was launched with the intent to leverage the technological know-how developed by the premier engineering institutes of the country and apply it in the rural milieu. To this end, IIT Roorkee conducted Participatory Rural Appraisals (PRAs) in 21 villages. 5 villages were then...
Interactions between industry and academia are seen as one of the key elements of the quality of higher education and a key element of the system of innovation of the nations. However, there is a widely noted gap between industry needs and the education that new engineers receive. This manuscript presents an open co-working space implemented by the Universidad de Ingenieria y Tecnologia equipped with...
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