These are my slides for the presentation of the work I've presented in the International Conference for Internet Technology and Secured Transactions (ICITST) 2017.
Assessing the Implementation of Authentic, Client-Facing Student Projects in ...craigmmacdonald
User Experience (UX) is often cited as one of the fastest growing occupations, creating opportunities across nearly every sector for individuals skilled in the application of user-centered design principles and methods. Many Information and Library Schools have responded to this demand by introducing more UX coursework into their curriculum, but the proliferation of agile software development and lean product design has incentivized organizations to look for experienced individuals for UX roles, even those that are considered entry-level. As a result, aspiring information professionals face a paradoxical situation in which they are required to have UX experience before they can gain UX experience. This article provides an assessment of one institution's efforts to overcome this experience gap by offering opportunities for students to participate in three types of authentic client-facing UX projects. Through surveys of students and clients served over four academic years, we provide a set of lessons learned and recommended best practices for incorporating project-based learning opportunities into UX courses.
Exploring the frontiers of Agile Development in the Digital EraClaudia Melo
www.claudiamelo.org
Exploring implications on agile software development research and science on the Digital Era. Socio-technical systems and transdisciplinarity as possible new ways to conduct valuable research.
Teaching requirements analysis REET 2014 at RE2014Luisa Mich
Teaching requirements analysis to computer science and information system students raises a number of challenges. One of the most critical is the gap between skills needed to deal with software requirements and those necessary to grasp the business problems. To bridge that gap in teaching requirements analysis students would have to carry out an assignment of analyzing requirements for a non-trivial, term-sized project. Here we analyze the gap and propose a framework for student projects which integrates a model of the computer based system as a solution to business challenges into a template for a business requirements document. The first model comes from information systems literature and the second from an object oriented analysis approach for business analysis. A CASE (computer aided software engineering) tool to support UML (unified modeling language) modeling is also used and we give some guidelines to reduce risks of premature requirements modeling due to students’ tendency to start modeling, even if business analysis and requirements elicitation have just started. The proposed framework has been defined in many years of teaching and allowed to overcome some of the limitations of a traditional UML-focused course. Student projects of different academic terms – in different courses and different degrees – showed improved requirements models and better comprehension of the role of requirements in the later terms. Moreover, the students appeared to have greater interest and motivation towards this area of software engineering.
Assessing the Implementation of Authentic, Client-Facing Student Projects in ...craigmmacdonald
User Experience (UX) is often cited as one of the fastest growing occupations, creating opportunities across nearly every sector for individuals skilled in the application of user-centered design principles and methods. Many Information and Library Schools have responded to this demand by introducing more UX coursework into their curriculum, but the proliferation of agile software development and lean product design has incentivized organizations to look for experienced individuals for UX roles, even those that are considered entry-level. As a result, aspiring information professionals face a paradoxical situation in which they are required to have UX experience before they can gain UX experience. This article provides an assessment of one institution's efforts to overcome this experience gap by offering opportunities for students to participate in three types of authentic client-facing UX projects. Through surveys of students and clients served over four academic years, we provide a set of lessons learned and recommended best practices for incorporating project-based learning opportunities into UX courses.
Exploring the frontiers of Agile Development in the Digital EraClaudia Melo
www.claudiamelo.org
Exploring implications on agile software development research and science on the Digital Era. Socio-technical systems and transdisciplinarity as possible new ways to conduct valuable research.
Teaching requirements analysis REET 2014 at RE2014Luisa Mich
Teaching requirements analysis to computer science and information system students raises a number of challenges. One of the most critical is the gap between skills needed to deal with software requirements and those necessary to grasp the business problems. To bridge that gap in teaching requirements analysis students would have to carry out an assignment of analyzing requirements for a non-trivial, term-sized project. Here we analyze the gap and propose a framework for student projects which integrates a model of the computer based system as a solution to business challenges into a template for a business requirements document. The first model comes from information systems literature and the second from an object oriented analysis approach for business analysis. A CASE (computer aided software engineering) tool to support UML (unified modeling language) modeling is also used and we give some guidelines to reduce risks of premature requirements modeling due to students’ tendency to start modeling, even if business analysis and requirements elicitation have just started. The proposed framework has been defined in many years of teaching and allowed to overcome some of the limitations of a traditional UML-focused course. Student projects of different academic terms – in different courses and different degrees – showed improved requirements models and better comprehension of the role of requirements in the later terms. Moreover, the students appeared to have greater interest and motivation towards this area of software engineering.
VII Jornadas eMadrid "Education in exponential times".Felix Buendia: "Instruc...eMadrid network
VII Jornadas eMadrid "Education in exponential times".Felix Buendia: "Instructional perspective using Learning Analytics in Computer Science education". 05/07/2017.
The nature of work and learning is changing. The growth of the 70:20:10 learning model and the rapid uptake of virtual reality in learning are examples of these shifts. This webinar will explore what these shifts and changes mean for instructional designers.
Topics to be covered:
- What does the 70:20:10 learning model mean for instructional design?
- Should we be using the term ‘Learning Designer’ instead of ‘Instructional Designer’?
- The effect of learning analytics on instructional design
- What such emerging technologies mean for instructional design
- What the move to cloud e-learning authoring systems means for instructional designers
GLUE! Architecture for the integration of external tools in Virtual Learning Environments. This presentation contains the description of the integration problem, analyzing previous works, the GLUE! architecture, and the current prototype
Reimagining Progress Reports for Mastery-Based EducationMargaret Roth
Leveraging xAPI and the Yet xAPI Learning Record Store, data from across learning tools and platforms have been unified to provide automated reporting to learners and other stakeholders at Khan Lab School.
Khan Lab School is an independent school associated with Khan Academy that runs a personalized, mixed-age program with a project-based learning approach. Because KLS tracks mastery instead of letter grades and groups students by independence level instead of age, a new kind of reporting system is needed to show student progress. Yet Analytics has built role-specific data dashboards for students, teachers, and leadership that pulls data from digital and in-person learning activity to provide a unified view of student progress at KLS.
This presentation was presented at xAPI Camp at DevLearn 2017.
Mining Correlations of ATL Transformation and Metamodel MetricsDavide Ruscio
Model transformations are considered to be the “heart” and “soul” of Model Driven Engineering, and as a such, advanced techniques and tools are needed for supporting the development, quality assurance, maintenance, and evolution of model transformations. Even though model transformation developers are gaining the availability of powerful languages and tools for developing, and testing model transformations, very few techniques are available to support the understanding of transformation characteristics. In this talk, a process to analyze model transformations is discussed with the aim of identifying to what extent their characteristics depend on the corresponding input and target metamodels. The process relies on a number of transformation and metamodel metrics that are calculated and properly correlated. The talk discusses the application of the approach on a corpus consisting of more than 90 ATL transformations and 70 corresponding metamodels.
The slides have been used to present the paper "Mining Correlations of ATL Transformation and Metamodel Metrics" at MISE2015 workshop at ICSE2015 (http://goo.gl/UJ9nWC)
QuESo: a Quality Model for Open Source Software EcosystemsGESSI UPC
Open source software has witnessed an exponential growth in the last two decades and it is playing an increasingly
important role in many companies and organizations leading to the formation of open source software
ecosystems. In this paper we present a quality model that will allow the evaluation of those ecosystems in
terms of their relevant quality characteristics such as health or activeness.
Micro Instructional Design for Problem-Based and Game-Based LearningAndy Petroski
This slidedeck is from a 12/17/13 webinar.
Description: Instructional design is both a process (macro) and a strategy (micro). Micro instructional design models should provide a formula for designing user experience, engagement and interaction that supports learning. Join this online session to explore David Merrill’s Pebble in the Pond (PiP) instructional design model for problem-based learning and consider how it can also be applied to game-based learning design.
Objectives:
-Define macro and micro instructional design
-Explore a micro instructional design model
-Consider how game-based learning can come from problem-based learning
Segunda aula de Computação Vestível com exemplos do que está sendo pesquisado na academia e na indústria. A prática ao final inclui as configurações dos arquivos do Android Wear, o Google Sign In e comandos de voz.
VII Jornadas eMadrid "Education in exponential times".Felix Buendia: "Instruc...eMadrid network
VII Jornadas eMadrid "Education in exponential times".Felix Buendia: "Instructional perspective using Learning Analytics in Computer Science education". 05/07/2017.
The nature of work and learning is changing. The growth of the 70:20:10 learning model and the rapid uptake of virtual reality in learning are examples of these shifts. This webinar will explore what these shifts and changes mean for instructional designers.
Topics to be covered:
- What does the 70:20:10 learning model mean for instructional design?
- Should we be using the term ‘Learning Designer’ instead of ‘Instructional Designer’?
- The effect of learning analytics on instructional design
- What such emerging technologies mean for instructional design
- What the move to cloud e-learning authoring systems means for instructional designers
GLUE! Architecture for the integration of external tools in Virtual Learning Environments. This presentation contains the description of the integration problem, analyzing previous works, the GLUE! architecture, and the current prototype
Reimagining Progress Reports for Mastery-Based EducationMargaret Roth
Leveraging xAPI and the Yet xAPI Learning Record Store, data from across learning tools and platforms have been unified to provide automated reporting to learners and other stakeholders at Khan Lab School.
Khan Lab School is an independent school associated with Khan Academy that runs a personalized, mixed-age program with a project-based learning approach. Because KLS tracks mastery instead of letter grades and groups students by independence level instead of age, a new kind of reporting system is needed to show student progress. Yet Analytics has built role-specific data dashboards for students, teachers, and leadership that pulls data from digital and in-person learning activity to provide a unified view of student progress at KLS.
This presentation was presented at xAPI Camp at DevLearn 2017.
Mining Correlations of ATL Transformation and Metamodel MetricsDavide Ruscio
Model transformations are considered to be the “heart” and “soul” of Model Driven Engineering, and as a such, advanced techniques and tools are needed for supporting the development, quality assurance, maintenance, and evolution of model transformations. Even though model transformation developers are gaining the availability of powerful languages and tools for developing, and testing model transformations, very few techniques are available to support the understanding of transformation characteristics. In this talk, a process to analyze model transformations is discussed with the aim of identifying to what extent their characteristics depend on the corresponding input and target metamodels. The process relies on a number of transformation and metamodel metrics that are calculated and properly correlated. The talk discusses the application of the approach on a corpus consisting of more than 90 ATL transformations and 70 corresponding metamodels.
The slides have been used to present the paper "Mining Correlations of ATL Transformation and Metamodel Metrics" at MISE2015 workshop at ICSE2015 (http://goo.gl/UJ9nWC)
QuESo: a Quality Model for Open Source Software EcosystemsGESSI UPC
Open source software has witnessed an exponential growth in the last two decades and it is playing an increasingly
important role in many companies and organizations leading to the formation of open source software
ecosystems. In this paper we present a quality model that will allow the evaluation of those ecosystems in
terms of their relevant quality characteristics such as health or activeness.
Micro Instructional Design for Problem-Based and Game-Based LearningAndy Petroski
This slidedeck is from a 12/17/13 webinar.
Description: Instructional design is both a process (macro) and a strategy (micro). Micro instructional design models should provide a formula for designing user experience, engagement and interaction that supports learning. Join this online session to explore David Merrill’s Pebble in the Pond (PiP) instructional design model for problem-based learning and consider how it can also be applied to game-based learning design.
Objectives:
-Define macro and micro instructional design
-Explore a micro instructional design model
-Consider how game-based learning can come from problem-based learning
Segunda aula de Computação Vestível com exemplos do que está sendo pesquisado na academia e na indústria. A prática ao final inclui as configurações dos arquivos do Android Wear, o Google Sign In e comandos de voz.
Defesa de mestrado em Ciência da Computação sobre o programa PIPA, um sistema gamificado para acompanhamento de tarefas e avaliação de desempenho corporativo.
Essa apresentação é sobre a conectividade em grafos conexos. O problema seria encontrar o número mínimo de elementos que precisam ser removidos para desconectar um grafo.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Launch Your Streaming Platforms in MinutesRoshan Dwivedi
The claim of launching a streaming platform in minutes might be a bit of an exaggeration, but there are services that can significantly streamline the process. Here's a breakdown:
Pros of Speedy Streaming Platform Launch Services:
No coding required: These services often use drag-and-drop interfaces or pre-built templates, eliminating the need for programming knowledge.
Faster setup: Compared to building from scratch, these platforms can get you up and running much quicker.
All-in-one solutions: Many services offer features like content management systems (CMS), video players, and monetization tools, reducing the need for multiple integrations.
Things to Consider:
Limited customization: These platforms may offer less flexibility in design and functionality compared to custom-built solutions.
Scalability: As your audience grows, you might need to upgrade to a more robust platform or encounter limitations with the "quick launch" option.
Features: Carefully evaluate which features are included and if they meet your specific needs (e.g., live streaming, subscription options).
Examples of Services for Launching Streaming Platforms:
Muvi [muvi com]
Uscreen [usencreen tv]
Alternatives to Consider:
Existing Streaming platforms: Platforms like YouTube or Twitch might be suitable for basic streaming needs, though monetization options might be limited.
Custom Development: While more time-consuming, custom development offers the most control and flexibility for your platform.
Overall, launching a streaming platform in minutes might not be entirely realistic, but these services can significantly speed up the process compared to building from scratch. Carefully consider your needs and budget when choosing the best option for you.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
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✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Prosigns: Transforming Business with Tailored Technology Solutions
A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors Model - ICITST 2017
1. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
A Collaborative System for Corporate Performance
Evaluation using Gamification and the Learning Vectors
Model
Michelle G. Cacais1, Gilvandenys L. Sales1
1Postgraduate Program in Computer Science
Federal Institute of Education, Science and Technology of Ceará (IFCE) – Brazil
December 7 2017
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 1 / 28
2. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Summary
1 Introduction
2 Learning Vectors Model (LV)
3 Related work
4 PIPA : design and development
System appearance
Learning Vectors applied to PIPA
5 Preliminary results
Methodology
Results
6 Conclusion
7 References
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 2 / 28
3. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Introduction
Human Capital consists of the skills and competencies that favor the performance
The adoption of a collaborative system could improve the performance of the
teams
The Learning Vectors Model (LV) is an evaluation methodology and
gamification is the motivator factor
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 3 / 28
4. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Learning Vectors Model (LV)
The Learning Vectors Model is a qualitative-quantitative methodology of non-linear
evaluation
Allows constant monitoring
The LV Model uses vectors and numerical equations in a two-dimensional way
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 4 / 28
5. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Learning Vectors Model (LV)
FIGURE – Graphic representation of the vectors of LV Model (SALES, 2010, p. 88)
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 5 / 28
6. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
LV Equations
Equation 1 shows how the value of LVX is obtained
LVX = 10 × cos[(−12α + I)] (1)
The vertical component LVY is determined by the Equation 2.
LVY = 10 × sen[(−12 + I)] (2)
Equation 3 shows the calculation of the β Factor.
β =
Positivity
Negativity
(3)
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 6 / 28
7. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
LV Icons
FIGURE – Description of LV Icons
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 7 / 28
8. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Related work
Work based on gamification
Steffens et al 1 : proposes a framework applied to the context of software
engineering to verify the issues and how to apply game elements to overcome this
ones
Stanculescu et al 2 : brings an experiment performed in a multinational company
to verify how gamification could influence the performance of the employees
1. Steffens, Flvio, et al. ”Using Gamification as a Collaboration Motivatorfor Software Development Teams : A
Preliminary Framework.” (2015).
2. tanculescu, Laurentiu Catalin, et al. ”Work and play : An experimentin enterprise gamification.” Proceedings of
the 19th ACM Conferenceon Computer-Supported Cooperative Work Social Computing. ACM,2016
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 8 / 28
9. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Related work
Work based on systems for corporate evaluation
Ng et al 3 : the authors explain how they developed a Key Performance Indicators
(KPI) system for Maintenance, Repair and Operation (MRO)
Falcinelli et al 4 : evaluates the devices for e-learning aimed at compulsory
training
3. Ng, K. K. H., M. H. M. Tang, and C. K. M. Lee. ”Design and developmentof a performance evaluation system for
the aircraft maintenance industry.”Industrial Engineering and Engineering Management (IEEM), 2015
IEEEInternational Conference on. IEEE, 2015.
4. Falcinelli, Floriana, et al. ”Evaluation of an e-learning device for workerscompulsory training : an example of
collaboration between university andcompany.” Research on Education and Media 8.2 (2016) : 26-32.
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 9 / 28
10. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Related work
Work based on the LV Model
Sales et al 5 : addresses possible impacts that changes in the management of
learning could lead to the distance education
Gonçalves et al 6 : presents an application of the Instruction by Peers associated
with the LV Model, to the Forum "Questions and Answers"
5. Sales, G. L. Learning Vectors (LV) : um modelo de avaliao da aprendiza-gem em EaD online aplicando mtricas
no-lineares. Diss. Tese Doutorado.Departamento de Engenharia de Teleinformtica. Universidade Federal doCear.
2010. 239f, 2010.
6. Gonçalves, Alexandra Joca, Joana Laysa Lima Cunha, and Gilvandenys Leite Sales. "Concepção do Fórum PR
LV : avaliação formativa da aprendizagem." RENOTE 14.1.
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 10 / 28
11. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Related work - comparison
TABLE – Summary of related work and contribution
Reference Gamification Valuation LV Model
Steffens et al
√
Stanculescu et al
√ √
Ng et al
√
Falcinelli et al
√
Sales et al
√
Gonçaalves et al
√
Our proposal
√ √ √
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 11 / 28
12. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
PIPA : design and development
PIPA
Process Planning and Institutional Evaluation (PIPA), is a gamified system that uses
the Learning Vector Model for corporate performance evaluation and follow-up of tasks.
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 12 / 28
13. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Technical aspects
FIGURE – PHP
http ://www.php.net/
FIGURE – RGraph
https ://www.rgraph.net/
FIGURE – MySQL
https ://www.mysql.com/
FIGURE – HTML,
CSS and
Javascript
FIGURE – Bootstrap
https ://getboots-
trap.com/
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 13 / 28
14. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
System appearance
System appearance
FIGURE – Login page
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 14 / 28
15. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
System appearance
System appearance
FIGURE – User’s first page
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 15 / 28
16. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
System appearance
System appearance
FIGURE – Page of general projects
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 16 / 28
17. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
System appearance
System appearance
FIGURE – Page of projects of the user
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 17 / 28
18. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Learning Vectors applied to PIPA
Learning Vectors applied to PIPA
The scores will be given by the same equations of the LV Model
The values for LVX are used for the point system
P = P + (10 × cos[(−12α + I))] (4)
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 18 / 28
19. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Learning Vectors applied to PIPA
Learning Vectors applied to PIPA
Scores are obtained by calculating LVX
Total points are the sum of all scores obtained
The ranking depends on the scores of the week
The β Factor is indicative of whether or not to level up
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 19 / 28
20. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Preliminary results
We choose a microenterprise with 7 employees
a receptionist
an accountant
two proprietary partners
three representatives working externally
The enterprise is located in Fortaleza, Brazil
The test period was a little more than a month in the first quarter of 2017
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 20 / 28
21. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Methodology
Methodology
We scheduled a day for installation of the program and explanation of how to use it
Another meeting was scheduled for the evaluation of the software
Two forms were applied :
Questionnaire of the evaluators
Self-assessment questionnaire
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 21 / 28
22. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Results
Results
Questionnaire of the evaluators
1. Did the
employees
obtain
improvement in
income through
PIPA?
2. The level of
difficulty of
evaluating
employees by
PIPA was :
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 22 / 28
23. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Results
Results
Questionnaire of the evaluators
3. Did the
monitoring of the
activity of the
employees by
PIPA helped the
company?
4. Did you use to
evaluate
employees
beforehand by
any other
method?
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 23 / 28
24. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Results
Results
Self-assessment questionnaire
1. In a general
way, how do you
evaluate your
experience with
PIPA software?
2. In your
opinion, do your
performance
improved with
PIPA?
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 24 / 28
25. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Results
Results
Self-assessment questionnaire
3. Do you think
your interaction
with others
improved using
PIPA?
4. Was the
evaluation by
PIPA a positive,
negative or
neutral factor?
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 25 / 28
26. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
Conclusion
A formative assessment can help with the follow-up of tasks
It is presumed that our system can improve the performance of the employees
The LV Model and gamification can be used together to help follow-up of tasks
and evaluation
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 26 / 28
27. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
References
Carrion, Wellington. "Design para web designers : princípios do design para web." Rio
de Janeiro (2008).
Bourque, Pierre, and Richard E. Fairley. Guide to the software engineering body of
knowledge (SWEBOK (R)) : Version 3.0. IEEE Computer Society Press, 2014.
Gonçalves, Alexandra Joca, Joana Laysa Lima Cunha, and Gilvandenys Leite Sales.
"Concepção do Fórum PR LV : avaliação formativa da aprendizagem." RENOTE 14.1.
Falcinelli, Floriana, et al. "Evaluation of an e-learning device for workers’ compulsory
training : an example of collaboration between university and company." Research on
Education and Media 8.2 (2016) : 26-32.
Ng, K. K. H., M. H. M. Tang, and C. K. M. Lee. "Design and development of a
performance evaluation system for the aircraft maintenance industry." Industrial
Engineering and Engineering Management (IEEM), 2015 IEEE International
Conference on. IEEE, 2015.
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 27 / 28
28. Introduction Learning Vectors Model (LV) Related work PIPA : design and development Preliminary results Conclusion References
References
Ruzzarin, Ricardo, Augusto Prates do Amaral, and Marcelo Simiono. Sistema
integrado de gestão de pessoas com base em competências. Editora AGE Ltda, 2006.
Sales, G. L. Learning Vectors (LV) : um modelo de avaliação da aprendizagem em EaD
online aplicando métricas não-lineares. Diss. Tese Doutorado. Departamento de
Engenharia de Teleinformática. Universidade Federal do Ceará. 2010. 239f, 2010.
Sales, Gilvandenys Leite, Eliana Alves Moreira Leite, and Cassandra Ribeiro Joye.
"Gerenciamento da Aprendizagem, Evasão em Ead Online e Possiveis Soluções : Um
Estudo de Caso no IFCE." RENOTE 10.3 (2012).
Stanculescu, Laurentiu Catalin, et al. "Work and play : An experiment in enterprise
gamification." Proceedings of the 19th ACM Conference on Computer-Supported
Cooperative Work & Social Computing. ACM, 2016.
Steffens, Flávio, et al. "Using Gamification as a Collaboration Motivator for Software
Development Teams : A Preliminary Framework." (2015).
Tanaka, Samara, et al. "Gamification, Inc. : como reinventar empresas a partir de
jogos." (2013).
Michelle G. Cacais, Gilvandenys L. Sales IFCE A Collaborative System for Corporate Performance Evaluation using Gamification and the Learning Vectors MoDecember 7 2017 28 / 28