Agent-Based Modeling of the E-Learning Users’ Behavior

Артеменко, В. Б.

doi:10.47839/ijc.13.1.622

Cited by 2 publications

(1 citation statement)

References 1 publication

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“…In this study, two surveys are conducted in the laboratory, carried out in two stages subsequent to the completion of several short-term, in situ assessments regarding the temperature and lighting that are used in winter and summer in different offices. We investigated the user's perception at first and then their behaviors as a result of their perception, investigating the relationship between them using an agent-based modeling method [31][32][33].…”

Section: Methodological Approachmentioning

confidence: 99%

Exploring Heritage: An In-Depth Performance Evaluation of Kenadsa’s Office Building through User Perceptions and Behaviors

Hamlili,

Dakhia,

Biara

2024

Buildings

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This research focuses on the evaluation of a heritage office building in the town of Kenadsa in the Southwest of Algeria (a famous oasis in the arid regions of the country). Emphasizing user’s perception as a metric key for performance assessment, this study aims to investigate the users’ perception and behaviors of a heritage office building on an oasis settlement. The research was conducted in 2023, and employing a multidimensional approach, both quantitative and qualitative methodologies, along with agent-based modeling, were integrated. One qualitative methodology is based on a series of field surveys and the other quantitative methodology relies on in situ measurements of the physical dimensions of the environment. The quantitative aspect involves an agent-based modeling framework, simulating user interactions by incorporating physical dimensions, spatial layout, historical context, and user behavior. The main findings of this study, examining perceptions and behaviors under varying luminous and thermal environments, show that this integrated approach provides insights into user satisfaction, spatial utilization, and the identification of user behaviors and productivity in each office.

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Section: Methodological Approachmentioning

confidence: 99%

Exploring Heritage: An In-Depth Performance Evaluation of Kenadsa’s Office Building through User Perceptions and Behaviors

Hamlili,

Dakhia,

Biara

2024

Buildings

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Algorithm for the Formation of a Personal Learning Environment by Means of Structuring the Educational Space of the University Based on Office365 and MS Teams Services

Ivankova

Ryzhov

Androsov

2020

OEEEMU

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The algorithm of formation of a personal learning environment (PLE) and learning group environment for the organization of electronic distance learning in medical higher education institutions is offered. It was noted that the introduction of the COVID-19 quarantine raised the issue of reorganization of the learning space and accelerated the process of introducing the distance learning model. The experience gained by the authors during quarantine made it possible to form the stages of deploying the learning environment in the medical higher education institution and to define the educational space of the group as the main element of this environment. The main technological steps of creating subsystems of the educational space of the university for using cloud services MSO365 were considered using the example of Zaporizhzhia State Medical University. The conditions that allow creating a hierarchy of the learning environment were defined, namely: a project of the structure of the learning environment with the coordination of departments; registration of all participants of the learning process and creation of their accounts in Active Directory of the university; automated procedure of transferring group members to AD MSO365. The paper provides an example of a hierarchy of names, which is a reflection of the structure of university departments in terms of staffing and determines the rights of access to the usage of services that ensure the implementation of the corresponding functions. The authors found that the user account is the first integrating service that allows the user to form a personal learning environment using OneDrive, web-site MS SharePoint, MS Forms and other office applications. It was noted that the user account is the lowest level of the hierarchy of the learning environment, the usage of which provides a learning space for groups. According to the authors, it is reasonable to use MS Groups to form academic groups. Using MS Teams, a teacher gets a flexible tool to form a learning environment for various organizational forms, namely: lectures, seminars, practical classes, independent work, etc. The authors proposed rules for forming group names in MS Groups and MS Teams. They presented an algorithm for deploying the department's learning environment and proposed a suggestion of structuring the subject's learning environment using MS Teams channels for a small number of groups in the department.

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Agent-Based Modeling of the E-Learning Users’ Behavior

Cited by 2 publications

References 1 publication

Exploring Heritage: An In-Depth Performance Evaluation of Kenadsa’s Office Building through User Perceptions and Behaviors

Exploring Heritage: An In-Depth Performance Evaluation of Kenadsa’s Office Building through User Perceptions and Behaviors

Algorithm for the Formation of a Personal Learning Environment by Means of Structuring the Educational Space of the University Based on Office365 and MS Teams Services

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