A collaborative system for corporate performance evaluation using gamification and the learning vectors model

Cacais, Michelle G.; Sales, Gilvandenys Leite

doi:10.23919/icitst.2017.8356455

Cited by 2 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Therefore, this section helps understand the diverse aspects and potential benefits of gamification within this context. For instance, Cacais and Sales [21] developed a system that incorporated gamification elements for performance evaluation and tasks monitoring. The system featured a user-friendly interface that helped users to concentrate better, and a point-based ranking system to motivate staff to complete more tasks.…”

Section: Performance Managementmentioning

confidence: 99%

“…-This solution can help in solving common issues in the industry like insufficient worker training and inadequate experience. Cybersecurity Awareness [15] Human Resources [21] Performance management [28] Cybersecurity Awareness [20] Management [35] Software engineering [37] Software engineering [38] Software engineering [14] Human Resources…”

Section: Case Study [42]mentioning

confidence: 99%

See 1 more Smart Citation

Exploring the Catalysts and Components of Gamification in Enterprise: A Systematic Literature Review

AlTuraif,

AlSanad,

AlSharifi

et al. 2023

ISI

View full text Add to dashboard Cite

This comprehensive review scrutinizes the body of literature on enterprise gamification from 2015 to 2023, drawing from databases such as Elsevier, IEEE, and Google Scholar. A corpus of 37 articles, bearing a close thematic affinity, were examined with an aim to discern the primary impetuses for gamification initiatives and to delineate the most prevalent elements across a broad spectrum of disciplines. It is underscored that gamification emerges as a multidisciplinary concept with far-reaching influence on an array of business operations, spanning marketing, customer engagement, management, health promotion, and software engineering, among others. The analysis discerns six primary categories of drivers prompting the adoption of gamification initiatives: enhancement of customer experience, bolstering employee engagement, process improvement, ensuring security and compliance, fostering organizational awareness and motivation, and promoting well-being. Employee engagement was recurrently cited, with objectives such as cultivating learning, augmenting engagement, and enhancing performance being predominantly highlighted. The findings also reveal an excess of 40 distinct gamification elements, with feedback mechanisms, points, badges, leaderboards, and progress bars being the most frequently employed. The review underlines the necessity of defining clear objectives and identifying pertinent stakeholders prior to the implementation of gamification strategies. Notwithstanding certain limitations, including the exclusion of particular types of publications and the potential oversight of relevant studies, this review furnishes insightful perspectives on the application of gamification in enterprises. Future research is encouraged to delve into the effects of less commonly utilized gamification elements.

show abstract

Section: Performance Managementmentioning

confidence: 99%

Section: Case Study [42]mentioning

confidence: 99%

Exploring the Catalysts and Components of Gamification in Enterprise: A Systematic Literature Review

AlTuraif,

AlSanad,

AlSharifi

et al. 2023

ISI

View full text Add to dashboard Cite

show abstract

“…O Modelo LV vem sendo utilizado em diversas aplicações, tanto naárea da educação como naárea corporativa e tem apresentado resultados satisfatórios. No trabalho de [G. Cacais and L. Sales 2017], o modelo foi utilizado em um sistema colabora-tivo gamificado para avaliação de desempenho corporativo, denominado Process Planning and Institutional Evaluation (PIPA). O Modelo LV auxiliou no acompanhamento da progressão dos profissionais, possibilitando um melhor feedback pelos seus supervisores.…”

Section: Trabalhos Relacionadosunclassified

Identificação do Estilo de Aprendizagem utilizando o Modelo LV como auxílio para personalização de Sistemas Tutores Inteligentes

Oliveira¹,

Sales²,

Holanda³

et al. 2018

Anais Do XXIX Simpósio Brasileiro De Informática Na Educação (SBIE 2018)

View full text Add to dashboard Cite

The Learning Styles (LS) identification seeks to provide assistance in adaptive systems based on each student's preferences, as well as contributing to recommendation systems and intelligent tutors systems. This research proposes to classify learning profiles from the records of the students' activities, generated by the Learning Vectors Model (LV), within a Learning Management System (LMS). The Felder and Silverman model was used as the basis, initially in the processing dimension. Different machine learning techniques were implemented and compared to perform this classification. As a result, we obtained a maximum accuracy rate of 72.50 % with the KNN algorithm using the LV attributes and 69.99 % with the SVM using attributes chosen from the literature.

show abstract

A collaborative system for corporate performance evaluation using gamification and the learning vectors model

Cited by 2 publications

References 4 publications

Exploring the Catalysts and Components of Gamification in Enterprise: A Systematic Literature Review

Exploring the Catalysts and Components of Gamification in Enterprise: A Systematic Literature Review

Identificação do Estilo de Aprendizagem utilizando o Modelo LV como auxílio para personalização de Sistemas Tutores Inteligentes

Contact Info

Product

Resources

About