Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
    Interest
    Topics
    Explore Interest Topics
    Details

    Details

    • Name

      Arnaldo Santos

    • Cluster

      Computer Science

    • Role

      External Research Collaborator

    • Since

      01st June 2017
    Publications
    View all Publications

    2023

    Business Process Automation in SMEs

    Authors
    Moreira, S; Mamede, HS; Santos, A;

    Publication
    Lecture Notes in Business Information Processing

    Abstract

    2022

    Information Security Threat Assessment Using Social Engineering in the Organizational Context – Literature Review

    Authors
    Lopes, A; Reis, L; Mamede, HS; Santos, A;

    Publication
    INFORMATION SYSTEMS AND TECHNOLOGIES, WORLDCIST 2022, VOL 2

    Abstract

    2022

    Integrated Language Translation IoT Devices : A Systematic Literature Review

    Authors
    Santo, A; Santos, A; Mamede, HS;

    Publication
    2022 17TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI)

    Abstract

    2022

    FRAMEWORK FOR PEDAGOGICAL TRAINING OF TRAINERS IN DIGITAL CONTENT FOR SELF-LEARNING (E-CONTENTS)

    Authors
    Santos, A; Moreira, L; Silva, P;

    Publication
    INTED2022 Proceedings - INTED Proceedings

    Abstract

    2022

    Learning Analytics Framework Applied to Training Context

    Authors
    Dias, J; Santos, A;

    Publication
    Communications in Computer and Information Science

    Abstract
    Currently, business organizations are struggling with the increasing demand for learning needs to address their knowledge gaps. They must have a structure that can reach all employees in terms of training and extract all the important data which is collected by Learning Management Systems during the instruction or learning process. This data will be of extreme importance for better business decisions. In this paper, it is presented a Systematic Literature Review with their respective phases duly explained and framed in the topic. It allowed us to understand the benefits, challenges, enablers, and inhibitors of the deployment and usage of a specified Teaching-Learning Analytics Framework. Finally, it is concluded, that the development of a reference model, could fulfill this gap in knowledge and help business organizations to allocate resources better and improve the decision-making process as well as an instructional and learning process. To achieve the final goal of this research, future work about the development of a Survey Research methodology will be started to fulfill this gap of knowledge. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

    CloseRead Abstract