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Almost every engineer deals with systems, but not all the systems are the same - there are several levels, of which the highest is the social system. The engineer who designs such a system has to take into account a variety of objectives, often contradictory, as constraints on the very ends that the design tries to accomplish. Social systems are the turf of industrial engineering, but its curriculum...
Despite the growing demand by Brazilian companies for well-qualified professionals in Information Technology (IT), the Brazilian educational system has not been able to meet this demand in a satisfactory way, especially the quality of vocational training question. One way to address this training problem has been the creation of specialized postgraduate courses in IT area focused on students already...
A big challenge of virtual learning environments is to guarantee engagement and keep students motivated to use it. In this context, gamification techniques are being explored to adapt game elements to teaching and Learning in Virtual Environments (VLE) with the objective of make the VLEs more engaging and attractive for students. The gamification engages, encourages and promotes greater interaction...
This paper investigates the development of a classification of features inherent in the design and development of Location Based Experiences (LBEs) with a special focus on games for teaching and learning. The paper aims to identify and associate learning features, such as feedback, activities, outcomes and assessment with location-driven mechanics, such as location-based activities, entities, conditions...
One of the thrusts of mobile and pervasive computing is supporting vision-based perception applications. Vision-based applications, such as augmented reality, are those that help users augment their understanding of the physical world through the camera(s) on their mobile devices. Such applications need to provide a seamless experience and hence require minimal end-to-end latency. However, these applications...
The generation and dissemination of digital educational materials in Universities is an issue that has generated interest and concern in Latin American academic community. The use of these educational resources has been conditioned to a specific number of barriers and factors from different nature, being the conceptual and pedagogical, one of the most important, in which, the teacher training plays...
High computational complexity hinders the widespread usage of neural networks, especially in mobile devices, which are often the basis of fine-grained localization technology for ubiquitous health monitoring, context awareness, and indoor location tracking. In this paper, we present a binarized recurrent neural network whose weight parameters, input, and intermediate hidden layer output signals, are...
At several private Peruvian universities, formative research was not included in the curricula design. Here the problem to solve was the small number of undergraduate dissertations in Engineering. First, the coursework design and tutoring were reviewed and reformulated. The former proposal was based on the triangle of Peñaloza Ramella [1], in this study, this view was extended to a double triangle...
Student-centric education has emerged as a dominant aspect of Higher Education policy over the last two decades. Much has been written about the benefits of student active educational approaches, and applied educational research, for instance the meta-study of Hattie, places emphasis on student-centric learning practices that enhance achieved learning outcomes.
Language modeling plays a critical role in many natural language processing (NLP) tasks such as text prediction, machine translation and speech recognition. Traditional statistical language models (e.g. n-gram models) can only offer words that have been seen before and can not capture long word context. Neural language model provides a promising solution to surpass this shortcoming of statistical...
A survey we conducted a few years ago concluded that higher education teachers should have the following competences: interpersonal, methodological, communicative, planning and management, teamwork and innovation. The authors of this work belong to the Institute in charge of the lecturer-training program at our university, which is basically a technical one. In order to improve our training program,...
This paper presents a method for semantic class disambiguation for all words. Unlike the ordinary word sense disambiguation, a set of semantic classes or coarse grained senses is defined as a common sense inventory, then universal classifiers to select an appropriate semantic class of a target word in a given context, which can be applicable to all words, are trained by supervised learning. In the...
This work describes the experience of a teacher training course about Scratch, a programming tool that has been used in the pedagogical context. Scratch allows teachers and students be able to develop learning objects as a way to systematize the content of classes. When used by teachers enables the development of their own learning objects, making their classes more attractive and motivating. In addition...
Selecting the appropriate parameters for an indoor positioning system may be a difficult task due to the large number of parameter combinations. It is more complex in realistic multi-building multi-floor environments, where severe wrong building and floor errors occur but they are not highlighted in the main evaluation metric. Moreover, a selected parameter configuration, that may seem appropriate...
In distance learning platforms the training is adapted to each learner's cognitive profile. It combined between the individualization of course units according to each learner and the collaboration between learners themselves and tutors. However, teachers no longer have direct contact with learners that allow them to assess their evolution. Hence the importance of integrating the tracking of learners...
Observations realized during a course using of a learning game show that a cooperation starts inside the classroom. A social study checks that the cooperation is legitimant although the learning game hasn't been designed for cooperative work. A didactic study gives then an explanation to this unexpected collaboration and shows the importance of the learning context for cooperation.
This paper discusses the identification of extend relation in scientific papers based on supervised machine learning. Identification of extend relations is conducted by classifying each sentence in scientific papers into extend category. Extend relation is one type of papers' relations that obtained by using the citation context based approach. Citation context is a set of words or phrases in a sentence...
By far there are more than 1.2 million Dai compatriots using Dai language in Yunnan province, researching Dai speech synthesis has great significance in advancing the informationization of Dai. This paper focuses on the study of the implementation of Dai speech synthesis by taking the HMM speech synthesis framework and STRAIGHT synthesizer into account. The methods of collection and selection of Dai...
A simple but powerful language model called fixed-size ordinally-forgetting encoding (FOFE) based feedforward neural network language models (FNN-LMs) has been proposed recently. Experimental results have shown that FOFE based FNN-LMs can outperform not only the standard FNN-LMs but also the popular recurrent neural network language models (RNN-LMs). In this paper, we extend FOFE based FNN-LMs from...
Polyphone disambiguation in Mandarin Chinese aims to pick up the correct pronunciation from several candidates for a polyphonic character. It serves as an essential component in human language technologies such as text-to-speech synthesis. Since the pronunciation for most polyphonic characters can be easily decided from their contexts in the text, in this paper, we address the polyphone disambiguation...
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