14,548 research outputs found

    Study of the impact of social learning and gamification methodologies on learning results in higher education

    Get PDF
    In this work, as the last step of a longitudinal study of the impact of so- cial learning and gamification methodologies on learning results in higher education, we have recorded the activity in a software platform based on Moodle, especially built for encouraging online participation of the stu- dents to design, carry out and evaluate a set of learning tasks and games, during two consecutive editions of an undergraduate course. Our aim is to confirm the relationships of the patterns of accomplishment of the gam- ified activities and the network structure of the social graphs associated to the online forums with knowledge adquisition and final outcomes. For this purpose we have offered two learning paths, traditional and novel, to our students. We have identified course variables that quantitatively explain the improvements reported when using the innovative methodolo- gies integrated in the course design, and we have applied techniques from the social network analysis (SNA) and the machine learning/deep learn- ing (ML/DL) domains to conduct success/failure classification methods finding that, generally, very good results are obtained when an ensemble approach is used, that is, when we blend the predictions made by different classifiers. The proposed methodology can be used over reduced datasets and variable time windows for having early estimates that allow pedagog- ical interventions. Finally, we have applied other statistical tests to our datasets, that confirm the influence of learning path on learning results

    Visual Programming Paradigm for Organizations in Multi-Agent Systems

    Get PDF
    Over the past few years, due to a fast digitalization process, business activities witnessed the adoption of new technologies, such as Multi-Agent Systems, to increase the autonomy of their activities. However, the complexity of these technologies often hinders the capability of domain experts, who do not possess coding skills, to exploit them directly. To take advantage of these individuals' expertise in their field, the idea of a user-friendly and accessible Integrated Development Environment arose. Indeed, efforts have already been made to develop a block-based visual programming language for software agents. Although the latter project represents a huge step forward, it does not provide a solution for addressing complex, real-world use cases where interactions and coordination among single entities are crucial. To address this problem, Multi-Agent Oriented Programming introduces organization as a first-class abstraction for designing and implementing Multi-Agent Systems. Therefore, this thesis aims to provide a solution allowing users to impose an organization on top of the agents easily. Since ease of use and intuitiveness remain the key points for this project, users will be able to define organizations through visual language and an intuitive development environment

    Bildung in der digitalen Transformation

    Get PDF
    Die Coronapandemie und der durch sie erzwungene zeitweise Übergang von Präsenz- zu Distanzlehre haben die Digitalisierung des Bildungswesens enorm vorangetrieben. Noch deutlicher als vorher traten dabei positive wie negative Aspekte dieser Entwicklung zum Vorschein. Während den Hochschulen der Wechsel mit vergleichsweise geringen Reibungsverlusten gelang, offenbarten sich diese an Schulen weitaus deutlicher. Trotz aller Widrigkeiten erscheint eines klar: Die zeitweisen Veränderungen werden Nachwirkungen zeigen. Eine völlige Rückkehr zum Status quo ante ist kaum noch vorstellbar. Zwei Fragen bestimmen vor diesem Hintergrund die Doppelgesichtigkeit des Themas der 29. Jahrestagung der Gesellschaft für Medien in der Wissenschaft (GMW). Erstens: Wie ‚funktioniert‘ Bildung in der sich derzeit ereignenden digitalen Transformation und welche Herausforderungen gibt es? Und zweitens: Befindet sich möglicherweise Bildung selbst in der Transformation? Beiträge zu diesen und weiteren Fragen vereint der vorliegende Tagungsband

    Knowledge Graph Building Blocks: An easy-to-use Framework for developing FAIREr Knowledge Graphs

    Full text link
    Knowledge graphs and ontologies provide promising technical solutions for implementing the FAIR Principles for Findable, Accessible, Interoperable, and Reusable data and metadata. However, they also come with their own challenges. Nine such challenges are discussed and associated with the criterion of cognitive interoperability and specific FAIREr principles (FAIR + Explorability raised) that they fail to meet. We introduce an easy-to-use, open source knowledge graph framework that is based on knowledge graph building blocks (KGBBs). KGBBs are small information modules for knowledge-processing, each based on a specific type of semantic unit. By interrelating several KGBBs, one can specify a KGBB-driven FAIREr knowledge graph. Besides implementing semantic units, the KGBB Framework clearly distinguishes and decouples an internal in-memory data model from data storage, data display, and data access/export models. We argue that this decoupling is essential for solving many problems of knowledge management systems. We discuss the architecture of the KGBB Framework as we envision it, comprising (i) an openly accessible KGBB-Repository for different types of KGBBs, (ii) a KGBB-Engine for managing and operating FAIREr knowledge graphs (including automatic provenance tracking, editing changelog, and versioning of semantic units); (iii) a repository for KGBB-Functions; (iv) a low-code KGBB-Editor with which domain experts can create new KGBBs and specify their own FAIREr knowledge graph without having to think about semantic modelling. We conclude with discussing the nine challenges and how the KGBB Framework provides solutions for the issues they raise. While most of what we discuss here is entirely conceptual, we can point to two prototypes that demonstrate the principle feasibility of using semantic units and KGBBs to manage and structure knowledge graphs

    Implementation Of Point Of Sales Using Laravel Framework on Matahari Motor

    Get PDF
    One of the developments in technology in the modern era is computers as a alternative for human labor. The development of advanced technology must also be balanced with the right application. Web application is one of them because it makes easier to access information on any device as long as it’s connected to the internet. This research aims to create a POS application that can help in facilitating more structured data management with the features provided. The method that this research used is Action Research. Website design using Prototype method, modeling in design using Unified Modeling Language (UML), and database modeling using Entity Relationship Diagram (ERD). Website development using the Laravel framework, and testing using the Black Box method with Equivalence Partioning. The results obtained from this study are the Live Search feature which helps in searching for item data, the notification feature for minimal stock so as not to be late in placing an order, Authentication Login using Jetstream Laravel, there are barcodes and print invoice to assist in the transaction process, error messages feedback or succesfull. successful, the calculation of the income reports, and this research was developed using the Model View Controller (MVC) concept architecture

    Sistem Informasi Presensi Kepegawaian Pada Toko Alona Solo Berbasis Web

    Get PDF
    The rapid development of information technology makes the business world must compete competitively. This is the beginning of the need for information in every company's internal activities to be very crucial. Toko Alona Solo is a trading business that sells various types and types of fashion products, party accessories, textile goods and sewing equipment. The procedure for collecting attendance data at the Alona Solo Store is still done manually every day. This conventional process is still said to be less effective and efficient because it takes a long time to recap attendance data so that it affects payroll. Based on the existing conditions, this study aims to develop a web-based employee attendance information system. The method used is the System Development Life Cycle (SDLC) method with a waterfall model which has stages of needs analysis, system design, implementation, testing and maintenance. At the testing stage the researcher uses a black box. The programming language used in system development is PHP by applying the Laravel framework. The black box testing that was carried out obtained the result that the system features run according to the expected function. The results obtained from this study are a web-based information system that has features for managing employee attendance data, viewing employee attendance history, managing leave or permit applications and managing employee salary amounts in one integrated system

    Designing a collaborative AutoML tool to help organizations become data-driven

    Get PDF
    Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementThis study aims to address a lack of knowledge in the emerging field of automated machine learning (AutoML) techniques. While the AutoML technology develops further and further and provides increasingly robust and interesting results, there is only little to no current research on how this technology can be adopted and scaled across different functions and teams of any organization. Thus, this study raises the research question of how an information system that leverages AutoML techniques can empower organizations and their non-technical individuals to collaborate on and adopt machine learning techniques in their daily lives to unlock the value of available data. To gain a clear analytical lens, this study is conducted in the environment of Management Consulting Companies (MCCs) as they span all industries and multiple tasks within diverse organizations and therefore promise a good transfer of knowledge to other application areas. A special emphasis is given to non-technical users and the possibilities of them participating in such a system as that has the potential to reach a large number of real-world practitioners. The identified problem is tackled with a Design Science Research (DSR) approach. A workflow of how an information system can support its users to leverage AutoML serves as an artifact that is evaluated by experts. Learnings from the theory behind the proposal and its evaluation contribute to literature around AutoML and the transformation of the MCC industry as well as practical applications in both fields. Results suggest that AutoML is best used to conduct quick experiments and find out which applications have the highest business value before involving experts. Major challenges are to help non-technical users define a use case and prepare data

    WEB-BASED SPP PAYMENT INFORMATION SYSTEM WITH MIDTRANS PAYMENT GATEWAY

    Get PDF
    ABSTRACT- The tuition payment system at Taufiq Islamic Middle School is still manually using ledger media in transaction activities and data recap. The system still needs to be revised and is prone to errors in calculating incoming payments and reporting payment data. This research was conducted to facilitate the school in the payment management process so that the recording error rate no longer occurs. The system development method used in this study is the Waterfall model and uses the Midtrans payment gateway in the online payment process. The results of this study are in the form of a tuition payment website that can facilitate all parties, both the school and students. This system makes the payment and recording process better and more efficient. Keywords: information system, waterfall, payment gateway, Midtrans

    Extractable organics and colour in a bleached kraft mill effluent land application system and recipient ground waters

    Get PDF
    This thesis describes a study of the behaviour of extractable organics and colour in a land application system used to treat highly coloured, organic-rich, alkali extraction stage and foul condensate effluents from a traditional bleached kraft mill. The land application system comprised 44 unlined seepage basins, totalling 86 ha in area, into which approximately 10,000 m³ d⁻¹ effluent was loaded for approximately eight months of each year. The study aimed to determine (1) the effectiveness of the system for treating major effluent organics, including monoterpenes, fatty acids, resin acids, chlorophenolics, and colour, and (2) the effects of the system on organic contamination of sediments, aquifer materials, and ground waters. The study was carried out in four parts, investigating: (i) the behaviour of extractable organics and colour in the effluent drains and seepage basins; (ii) the penetration of extractable organics into the sediments beneath the seepage basins; (iii) the organic chemistry of shallow ground waters beneath the seepage system, and of deeper off-site ground waters; and (iv) behaviour of extractable organics and colour in laboratory soil-column simulating the land application process. In addition, a review of land application of pulp mill effluents was carried out, and analytical methods for determining extractable organics in effluents, sediments, and ground waters were developed. Concentrations of extractable organics and chlorophenolics were reduced by >95% over a 40 day period in the seepage basins. Removal rates decreased in the order fatty acids > chlorophenolics ≈ monoterpenes > resin acids. Resin acids underwent reductive and oxidative transformations, producing transient intermediates including 13-abietenoic acid and 13β-hydroxyabietanoic acid. A suite of relatively stable transformed species, dominated by the saturated compound abietanoic acid, remained in the seepage pond after 40 days. Colour removal over the same period was approximately 25%. High concentrations of effluent-derived extractable organics were found in surficial sediments beneath the seepage basins. Major compounds were resin acids, largely saturated species, and diterpene hydrocarbon transformation products. Diterpene hydrocarbons were dominated by retene, fichtelite, and dehydroabietin. Surficial sediments contained concentrations of total resin acids and diterpene hydrocarbons of up to 10,000 mg kg⁻¹. Concentrations dropped with depth, but high levels were found in discrete zones at depths of up to 5 m beneath the surface. This indicated that effluent movement was occurring through permeable conduits rather than via uniform infiltration through the soil, and was consistent with the fractured geology of the site. Ground waters taken from seven well clusters, sampling depths between 2 and 15 m beneath the seepage basins, contained elevated sodium and chloride concentrations (200-400 mg L⁻¹) and spatially variable colour levels (100-2000 CPU). Effluent-derived extractable organics were also found in variable concentrations. Major compounds were methyl-substituted 2-cyclopentenones, resin acids, and diterpene hydrocarbons. Resin acids and diterpene hydrocarbons were the generally dominant compound classes, concentrations totalling 20-2600 μg L⁻¹. Preliminary assessment of chlorophenolics found low levels, totalling 2-4 μg L⁻¹ in the most contaminated ground waters. The results indicated that contamination of shallow ground water was occurring, but the nature and level of this contamination was highly spatially variable. As found for the sediment studies, these findings were consistent with effluent infiltration through heterogeneous, fractured, sub-surface geology. The hydrogeology of the area was determined to be dominated by ground water movement through fractured zones in four major ignimbrite aquifers. Wells were placed at depths between 9 and 110 m, and at distances from immediately adjacent to 2.7 km from the seepage area to sample ground water from these zones. Contamination was found largely within the highly fractured, high flow zones of two of these units, the Marshall A and, to a lesser extent, the Marshall B ignimbrite aquifers. Concentrations of effluent-sourced extractable organics (largely resin acids and diterpene hydrocarbons) and colour were highest immediately beneath the seepage area, maximum concentrations of 110 μg L⁻¹ total resin acids and diterpene hydrocarbons, and 900 CPU colour being found. Concentrations dropped rapidly with distance from the ponds, decreasing by approximately 90% within about 100 m from the seepage area. There was evidence for retardation of organics relative to sodium and chloride in the off-site aquifers. Laboratory simulations of effluent infiltration through seepage site soils were carried out under two application regimes (permanently flooded, and flood-dry cycle) to determine the range of treatment possibilities occurring in the seepage system. Leachate chemistry was monitored over an approximately two year period, and soil extractives measured at the end of the study. Mass balance was used to estimate effluent treatment efficiency. The flood-dry (aerobic) application regime resulted in essentially compete degradative removal of extractable organics. Under the flooded (anaerobic) regime, extractable organic removal was limited for all constituents other than fatty acids, which were >90% removed. Resin acids were strongly retained by the soil, approximately 72% remaining in the soil at the end of the study. Approximately 25% was recovered in the leachate. Monoterpenes were highly mobile, moving rapidly through the soil. A relatively stable suite of transformed compounds was found in the leachates. Monoterpene removal was estimated to be approximately 55%. Under flooded conditions, transformation rather than degradative removal of extractable organics occurred. Colour intensification, rather than reduction, occurred at times in both application regimes. At the end of the study, colour removal in the flood-dry cycle regime was 2%, and in the flooded regime an increase of 51% was measured. In summary, the study found that the land application system resulted in large decreases (>95%) in the concentrations of extractable organics, but little overall treatment of effluent colour. Ground waters affected by effluent infiltration were highly variable in composition, but in general contained elevated colour levels, and moderate-to-low concentrations of extractable organics. Resin acids and diterpene hydrocarbons were the dominant class of extractable organics found in sediments and ground waters beneath the seepage system

    Alvina: um protocolo para orientar o desenvolvimento e validação de tecnologias baseadas em aba para o tratamento do autismo

    Get PDF
    Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that affects about 1-2% of the global population and leads to long-term challenges in the daily social lives of individuals with the disability. Based mainly on behavioral symptoms, the ASD is usually diagnosed after the second year of life. Beyond that, research indicates that the prevalence rates of this disorder have increased during the last three decades. Early interventions based on Applied Behavior Analysis (ABA) have contributed to good results in treatments, demonstrating significant improvements in language, cognitive ability and social skills for many individuals diagnosed with ASD. Besides ABA, Assistive Technologies (ATs) such as games, robots, among others, contribute positively to the development and learning process compared to other instructional methods. Then, associating ABA practices with the use of technology can contribute to controllable intervention, structured, adaptable, stimulating and increasingly effective processes. However, it is observed that ATs designed based on ABA principles for ASD treatment do not meet the criteria proposed by this science. Thus, this paper’s main objective was to propose ALVINA: A Protocol to Guide the Development and Validation of ABA-Based Technologies for the Treatment of Autism. As a way of expanding reflections and reinforcing the importance and benefits of ALVINA, an evaluation was carried out, which took place through the application of questionnaires, in which computer professionals and Behavior Analysts participated. As a result of this assessment, these professionals highlighted the relevance of ALVINA information, considering it capable of involving important and essential points in the understanding process of how to validate and design ABA-based ATs for the ASD treatment, besides intelligibly meeting the criteria for the fundamental principles of this science. All this demonstrates the professionals involved in the ALVINA assessment have recognized the importance and need of a protocol for the development and validation of a proposed AT to be used during the intervention process. Furthermore, as a way of demonstrating the applicability of ALVINA, it was used to validate the SEIA: Teaching System Based on Artificial Intelligence and ABA and TEO: An Interactive Game Suite To Support The Treatment Of Children With Autism. Through this validation, the Behavior Analysts analyzed the weaknesses and strengths of SEIA and TEO. The guidelines described by ALVINA were also used for the development of a prototype called AUTISMALG: Application to Assist in Teaching Identification and Counting Number for Children with Autism Spectrum Disorder. This prototype aimed to identify and understand the application of the recommendations of each guideline proposed by ALVINA in the development of an AT. Finally, it is expected that the guidelines proposed by this protocol be efficient in the validation and development of ATs, aiming to ensure the correct execution of ABA practices during the intervention process, thus providing improvements for the treatment of individuals with ASD.O Transtorno do Espectro do Autismo (TEA) é uma condição do neurodesenvolvimento que afeta cerca de 1-2% da população global e leva a desafios de longo prazo na vida social diária dos indivíduos com o transtorno. Baseado principalmente em sintomas comportamentais, o diagnóstico do TEA geralmente se dá a partir do segundo ano de vida. Além disso, as pesquisas apontam que as taxas de prevalência desse transtorno têm aumentado durante as últimas três décadas. Intervenções precoces baseadas na Análise do Comportamento Aplicada (ABA) tem contribuído com bons resultados nos tratamentos, demonstrando melhorias significativas na linguagem, capacidade cognitiva e habilidades sociais para muitos indivíduos com TEA. Além da ABA, Tecnologias Assistivas (TAs) como jogos, robôs entre outras, contribuem positivamente no processo de desenvolvimento e aprendizagem em comparação com outros métodos instrucionais. Assim, associar as práticas da ABA ao uso da tecnologia pode contribuir para processos de intervenção controláveis, estruturados, adaptáveis, estimulantes e cada vez mais efetivos. No entanto, observa-se que as TAs projetadas com base nos princípios da ABA para o tratamento do TEA não atendem aos critérios propostos por esta ciência. Dessa maneira, o principal objetivo deste trabalho foi propor o ALVINA: (A Protocol to Guide the Development and Validation of ABA-Based Technologies for the Treatment of Autism) um protocolo que orienta o desenvolvimento e validação de TAs fundamentadas nos princípios da ABA para o tratamento do autismo. Como forma de ampliar as reflexões e reforçar a importância e os benefícios do ALVINA, foi realizada uma avaliação, a qual ocorreu por meio da aplicação de questionários, em que participaram profissionais da computação e Analistas do Comportamento. Como resultado dessa avaliação, estes profissionais destacaram a relevância das informações do ALVINA, considerando-o capaz de envolver pontos importantes e essenciais no processo de compreensão de como validar e projetar TAs baseadas em ABA para o tratamento do TEA, além de atender de forma inteligível os princípios fundamentais desta ciência. Tudo isso demonstra o reconhecimento por parte dos profissionais envolvidos na avaliação do ALVINA sobre a importância e necessidade de um protocolo para o desenvolvimento e validação de uma TA proposta para ser utilizada durante o processo de intervenção. Ademais, como forma de demonstrar a aplicabilidade do ALVINA, este foi utilizado para validar o SEIA: Sistema de Ensino Baseado em Inteligência Artificial e ABA e o TEO: Uma Suíte De Jogos Interativos Para Apoio ao Tratamento De Crianças Com Autismo. Por meio desta validação, os Analistas do Comportamento analisaram as fragilidades e potencialidades do SEIA e do TEO. As orientações descritas pelo ALVINA também foram utilizadas para o desenvolvimento de um protótipo chamado AUTISMALG: Aplicativo para Auxiliar no Ensino da Identificação e Contagem de Algarismos para Crianças com Transtorno do Espectro Autista. Esse protótipo, se propôs identificar e compreender a aplicação das recomendações de cada diretriz proposta pelo ALVINA no desenvolvimento de uma TA. Por fim, espera-se que as orientações propostas por este protocolo sejam eficientes na validação e desenvolvimento de TAs, visando garantir a execução correta das práticas da ABA durante o processo de intervenção, proporcionando, assim, melhorias para o tratamento dos indivíduos com TEA
    corecore