Intelligent System in Education: Requirements and Design Method

Intelligent systems in education have proven to be highly beneficial in supporting self-learning among students, particularly in remote learning scenarios. This study proposes the necessary requirements for an intelligent educational system that serves two primary functions: querying course knowledge and evaluating learner proficiency through multiple-choice testing. Furthermore, this study builds a solution to design the knowledge base, inference engine, and tracing system based on a knowledge model that integrates ontology and knowledge graph

An ACO-based personalized learning technique in support of people with acquired brain injury

This is the author’s version of a work that was accepted for publication in Applied Soft Computing . Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Applied Soft Computing 47 (2016) 316–331. DOI 10.1016/j.asoc.2016.04.039The ever-increasing cases of acquired brain injury (ABI), especially among young people, have prompted a rapid progress in research involving neurological disorders. One important path is the concept of relearning, which attempts to help people regain basic motor and cognitive skills lost due to illness or accident. The goals of relearning are twofold. First, there must exist a way to properly assess the necessities of an affected person, leading to a diagnosis, followed by a recommendation regarding the exercises, tests and tasks to perform; and second, there must be a way to confirm the results obtained from these recommendations in order to fine-tune and personalize the relearning process. This presents a challenge, as there is a deeply-rooted duality between the personalized and the generalized approach. In this work we propose a personalization algorithm based on the ant colony optimization (ACO), which is a bio-inspired meta-heuristic. As we show, the stochastic nature of ants has certain similarities to the human learning process. We combine the adaptive and exploratory capabilities of ACO systems to respond to rapidly changing environments and the ubiquitous human factor. Finally, we test the proposed solution extensively in various scenarios, achieving high quality results. © 2016 Elsevier B.V. All rights reservedThis research has been funded by the Spanish Ministry of Economy and Competitiveness and by the FEDER funds of the EU under the project SUPEREMOS (TIN2014-60077-R) and insPIre (TIN2012-34003). Kamil Krynicki is supported by the FPI fellowship from Universitat Politecnica de Valencia.Krynicki, K.; Jaén Martínez, FJ.; Navarro, E. (2016). An ACO-based personalized learning technique in support of people with acquired brain injury. Applied Soft Computing. 47:316-331. doi:10.1016/j.asoc.2016.04.039S3163314

Adaptive User Interfaces for Intelligent E-Learning: Issues and Trends

Adaptive User Interfaces have a long history rooted in the emergence of such eminent technologies as Artificial Intelligence, Soft Computing, Graphical User Interface, JAVA, Internet, and Mobile Services. More specifically, the advent and advancement of the Web and Mobile Learning Services has brought forward adaptivity as an immensely important issue for both efficacy and acceptability of such services. The success of such a learning process depends on the intelligent context-oriented presentation of the domain knowledge and its adaptivity in terms of complexity and granularity consistent to the learner’s cognitive level/progress. Researchers have always deemed adaptive user interfaces as a promising solution in this regard. However, the richness in the human behavior, technological opportunities, and contextual nature of information offers daunting challenges. These require creativity, cross-domain synergy, cross-cultural and cross-demographic understanding, and an adequate representation of mission and conception of the task. This paper provides a review of state-of-the-art in adaptive user interface research in Intelligent Multimedia Educational Systems and related areas with an emphasis on core issues and future directions

Ideas Matchmaking for Supporting Innovators and Entrepreneurs

Käesolevas töös esitletakse süsteemi, mis on võimeline sirvima veebist ettevõtluse ja tehnoloogiaga seotud andmeid, mida saab siduda kasutajate poolt Innovvoice platvormil välja pakutud ideedega. Selline teenus on ideabator platvormi väärtuslik osa, mis toetab ettevõtluse uuendajaid ja potentsiaalseid ettevõtjaid.In this paper we show a system able to crawl content from the Web related to entrepreneurship and technology, to be matched with ideas proposed by users in the Innovvoice platform. We argue that such a service is a valuable component of an ideabator platform, supporting innovators and possible entrepreneurs

Framework for collaborative knowledge management in organizations

Nowadays organizations have been pushed to speed up the rate of industrial transformation to high value products and services. The capability to agilely respond to new market demands became a strategic pillar for innovation, and knowledge management could support organizations to achieve that goal. However, current knowledge management approaches tend to be over complex or too academic, with interfaces difficult to manage, even more if cooperative handling is required. Nevertheless, in an ideal framework, both tacit and explicit knowledge management should be addressed to achieve knowledge handling with precise and semantically meaningful definitions. Moreover, with the increase of Internet usage, the amount of available information explodes. It leads to the observed progress in the creation of mechanisms to retrieve useful knowledge from the huge existent amount of information sources. However, a same knowledge representation of a thing could mean differently to different people and applications. Contributing towards this direction, this thesis proposes a framework capable of gathering the knowledge held by domain experts and domain sources through a knowledge management system and transform it into explicit ontologies. This enables to build tools with advanced reasoning capacities with the aim to support enterprises decision-making processes. The author also intends to address the problem of knowledge transference within an among organizations. This will be done through a module (part of the proposed framework) for domain’s lexicon establishment which purpose is to represent and unify the understanding of the domain’s used semantic

Issue Creator

In the constant development of the technological industry, when it comes to product development in terms of software development new trends tend to motivate the evolution of the software through the analysis of user feedback from issue tracking systems. This is because the ultimate success of any software and, as consequence, for any technology-driven company, falls on whether or not the developed solutions manage to fulfill the expectation of the final users. E-goi is a company that provides a platform for multi-channel marketing automation that allows the integration of multiple channels from SMS and voice messages to e-mail and webpush. When it comes to SaaS companies such as E-goi, user feedback becomes of extreme importance in order to improve its products and create value for both the user and the company. When managing user feedback, it is often important how it will be delivered to the development teams in such a way that the problem at hand becomes easily understood with the maximum information possible, to be able to replicate the bugs and to create new features for the product. This, of course, must be achieved with minimal impact when it comes to the analysis of the issues and consequent development. However, the gathering and consequent delivery of this feedback to the product development teams, in E-goi, can come with some problems in both information standardization and duplicate prevention and extra costs when generated by the used tools when pursuing the objective of allowing the entire company to provide said feedback as well. So, to solve this problem, E-goi decided to create a tool that allows all the collaborators to submit issues - the Issue Creator. Nevertheless, other described problems still need to be solved. Here, is where this project comes into play by developing a revamp of this platform and enabling the creation of standardized issue reports, issue duplication prevention, and the implementation of other features that involve the integration of different platforms to simplify the actions that are essential to the product development teams. In this report, an introduction to the identified problem is described, along with the objectives and methodology followed. After this, a full contextualization on how the E-goi organizational departments are distributed, with an emphasis on the product development department, and their processes in software development. Subsequently, an analysis of the value of the solution and the requirements gathered through the elicitation phase as part of the requirements engineering practice is made, passing by a detailed view of the proposed design to develop the platform. Finally, the developed platform was evaluated both from the technical aspect through tests and quality aspects comprehended by the users, by taking advantage of the stakeholder answers gathered from inquiries performed.Com o constante desenvolvimento da indústria tecnológica, quando se trata de desenvolvimento de produtos, mais concretamente em termos de desenvolvimento de software, as novas tendências tendem a motivar a evolução do software através da análise do feedback dos clientes reunido nos sistemas de gestão de tarefas. Isto deve-se essencialmente ao facto do sucesso de qualquer software e de qualquer empresa tecnológica, depender do facto das soluções desenvolvidas conseguirem ou não atender às expectativas dos utilizadores finais. A E-goi é uma empresa que disponibiliza uma plataforma de automação de marketing multicanal que permite a integração de múltiplos canais desde SMS e mensagens de voz a e-mail e webpush. No que concerne empresas SaaS como a E-goi, o feedback dos utilizadores torna-se de extrema importância para melhorar os seus produtos e criar valor tanto para o utilizador como para a empresa. Ao gerir o feedback do utilizador, muitas vezes é importante como ele será entregue às equipas de desenvolvimento, de forma a que o problema em questão seja facilmente entendido com o máximo de informações possível, aquando se tenta reproduzir os bugs reportados ou mesmo desenvolver novas funcionalidades. Isso, é claro, deve ser alcançado com o mínimo de impacto aquando a análise das issues e consequente desenvolvimento. No entanto, a recolha e consequente entrega deste feedback às equipas de desenvolvimento de produto, no E-goi, pode acarretar alguns problemas quer na uniformização da informação, quer na prevenção de duplicações e custos extra gerados pela utilização das ferramentas de gestão de issues pelos diversos colaboradores da empresa, de forma a permitir que estes também possam reportar novos problemas. Assim, para resolver esta problemática, a E-goi decidiu criar uma ferramenta que permitisse a todos os colaboradores submeterem novas issues - o Issue Creator. No entanto, outros problemas descritos ficaram por resolver. É aqui que entra este projeto, ao desenvolver uma reformulação desta plataforma e permitir a criação de relatórios de issues standerdizados, prevenção de duplicação de relatórios e a implementação de outras funcionalidades que envolvem a integração de diferentes plataformas, de forma a simplificar as ações que são essenciais para as equipes de desenvolvimento de produtos. Neste relatório é descrita uma introdução ao problema identificado, bem como os objetivos e a metodologia seguida. A seguir, é feita uma contextualização completa de como estão distribuídos os departamentos da E-goi, com ênfase no departamento de desenvolvimento de produto e nos seus processos no desenvolvimento de software. Posteriormente, é feita uma análise de valor da solução e dos requisitos levantados na fase de elicitação como parte da prática de engenharia de requisitos, passando por uma visão detalhada do design proposto para o desenvolvimento da plataforma. Finalmente, a plataforma desenvolvida é avaliada tanto do aspeto técnico por meio de testes quanto dos aspetos de qualidade compreendidos pelos utilizadores, através da analise das respostas obtidas pela realização de questionários