Design and analysis of a multi-agent e-learning system using prometheus design tool

Abstract

Agent unified modeling languages (AUML) are agent-oriented approaches that supports the specification, design, visualization and documentation of an agent-based system. This paper presents the use of prometheus AUML approach for the modeling of a Pre-assessment System of five interactive agents. The Pre-assessment System, as previously reported, is a multi-agent-based e-learning system that is developed to support the assessment of prior learning skills in students so as to classify their skills and make recommendation for their learning. This paper discusses the detailed design approach of the system in a step-by-step manner; and domain knowledge abstraction and organization in the system. In addition, the analysis of the data collated and models of prediction for future pre-assessment results are also presented.

Intelligent Academic Specialties Selection in Higher Education for Ukrainian Entrants: A Recommendation System

“…The following problems have been studied in selected PRISMA research papers: Higher education quality assurance ( Alakbarov 2021 ; Allayarova 2019 ; Asare et al 2021 ); Knowledge-based recommender system ( Barabash et al 2021 ; Barón et al 2015 ; Bin-Noor et al 2021 ; Brunello and Wruuck 2021 ); E-learning and distance learning ( Bukralia et al 2015 ; Burman et al 2021 ; Casselman 2021 ; Chahal et al 2020 ); Inter-professional education ( Cheng 2017 ); Network course recommendation system ( Cinquin et al 2019 ; Dhar and Jodder 2020 ; Dolgikh 2021 ; Ehimwenma and Krishnamoorthy 2021 ); Modern information communication technologies in the higher education sector ( El Gourari et al 2021 ; Elahi et al 2022 ; Ellyatt 2021 ; Elumalai et al 2019 ); Transformation of education during the COVID-19 pandemic ( Erridge 2006 ; Ezz and Elshenawy 2020 ; Fedushko and Ustyianovych 2020 ); Digitalization in higher education ( Gao et al 2021 ; Garay-Jiménez et al 2021 ; Gil et al 2019 ); Personalized recommendation system for learning resources ( Habib et al 2021 ; Ibrahim et al 2019 ; Karan and Asgari 2021 ; Khan and Ramzan 2018 ; Khosravi et al 2021 ); Artificial intelligence techniques for education tasks solving ( Kim Rosemary et al 2014 ; ...…”

“…Network course recommendation system ( Cinquin et al 2019 ; Dhar and Jodder 2020 ; Dolgikh 2021 ; Ehimwenma and Krishnamoorthy 2021 );…”

A linear regression approach to predicting salaries with visualizations of job vacancies: a case study of Jobstreet Malaysia

“…In biological or clinical research, the researcher frequently attempts to comprehend or link two or more independent (predictor) factors to predict an outcome or a dependent variable [14]. A prediction is a forecasted future event [15], and LR is the most fundamental and widely used predictive analysis [16]- [18]. The internet is growing continuously; for example, in recent years, Twitter has been generating 12 terabytes (TB) of data daily, while Facebook has been generating 4 petabytes (PB) of data daily.…”

A review of multi-agent mobile robot systems applications

“…Another field of application is the stochastic aspect of simultaneous perturbation stochastic algorithms (SPSAs) that contributed to the agent motion coordination during the simultaneous perturbation vector operation, where the agent is thought to be able to move arbitrarily depending on the Bernoulli distribution [19]. A multi-agent system for automation of learner's support in a collaborative e-learning platform was studied as well as pre-assess students' prior learning, classify their skills, and make a recommendation for appropriate material suitable to their needs [20], [21]. This research is useful in a situation that involves four agents and four desired target points.…”