RecSim: A Model for Learning Objects Recommendation using Similarity of Sessions

Wiedmann, Tiago; Barbosa, Jorge Luís Victória; Rigo, Sandro José; Barbosa, Débora Nice Ferrari

doi:10.3217/jucs-022-08-1175

Cited by 2 publications

(1 citation statement)

References 41 publications

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“…This new knowledge research area received the name of Context Histories ( Rosa et al, 2015 ; Martini et al, 2021 ; Aranda et al, 2021 ; Machado et al, 2021 ) or Trails ( Silva et al, 2010 ; Barbosa et al, 2016 ; Barbosa et al, 2018 ). This kind of organization allows the exploration of advance strategies to data analysis, such as, profile management ( Wagner, Barbosa & Barbosa, 2014 ; Barbosa et al, 2017 ; Leithardt et al, 2018 ; Dalmina, Barbosa & Vianna, 2019 ; Ferreira et al, 2020 ; Leithardt et al, 2020 ), pattern analysis ( Dupont, Barbosa & Alves, 2020 ), context prediction ( Da Rosa, Barbosa & Ribeiro, 2016 ), and similarity analysis ( Wiedmann et al, 2016 ; Filippetto, Lima & Barbosa, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Towards ubiquitous requirements engineering through recommendations based on context histories

Lima

Filippetto

Heckler

et al. 2022

PeerJ Computer Science

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The growing technological advance is causing constant business changes. The continual uncertainties in project management make requirements engineering essential to ensure the success of projects. The usual exponential increase of stakeholders throughout the project suggests the application of intelligent tools to assist requirements engineers. Therefore, this article proposes Nhatos, a computational model for ubiquitous requirements management that analyses context histories of projects to recommend reusable requirements. The scientific contribution of this study is the use of the similarity analysis of projects through their context histories to generate the requirement recommendations. The implementation of a prototype allowed to evaluate the proposal through a case study based on real scenarios from the industry. One hundred fifty-three software projects from a large bank institution generated context histories used in the recommendations. The experiment demonstrated that the model achieved more than 70% stakeholder acceptance of the recommendations.

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Section: Introductionmentioning

confidence: 99%

Towards ubiquitous requirements engineering through recommendations based on context histories

Lima

Filippetto

Heckler

et al. 2022

PeerJ Computer Science

View full text Add to dashboard Cite

show abstract

ULearnEnglish: An Open Ubiquitous System for Assisting in Learning English Vocabulary

et al. 2021

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Language learners often face communication problems when they need to express themselves and do not have the ability to do so. On the other hand, continuous advances in technology are creating new opportunities to improve second language (L2) acquisition through context-aware ubiquitous learning (CAUL) technology. Since vocabulary is the foundation of all language acquisition, this article presents ULearnEnglish, an open-source system to allow ubiquitous English learning focused on incidental vocabulary acquisition. To evaluate our proposal, 15 learners used the developed system, and 10 answered a survey based on the Technology Acceptance Model (TAM). Results indicate a favorable response to the application of incidental learning techniques in combination with the learner context. ULearnEnglish achieved an acceptance rate of 78.66% for the perception of utility, 96% for the perception of ease of use, 86.5% for user context assessment, and 88% for ubiquity. Among its main contributions, this study demonstrates a possible tool for ubiquitous use in the future in language learning; additionally, further studies can use the available resources to develop the system.

show abstract

RecSim: A Model for Learning Objects Recommendation using Similarity of Sessions

Cited by 2 publications

References 41 publications

Towards ubiquitous requirements engineering through recommendations based on context histories

Towards ubiquitous requirements engineering through recommendations based on context histories

ULearnEnglish: An Open Ubiquitous System for Assisting in Learning English Vocabulary

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