Internet messenger based smart virtual class learning using ubiquitous computing

Umam, Khothibul; Mardi, Supeno; Hariadi, Mochamad

doi:10.1088/1742-6596/855/1/012056

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…The issue of distance learning in a hybrid model using WhatsApp messenger as a learning platform for students living in remote areas of Ghana who have problems accessing the Internet was examined in the article (KOOMSON, 2018). Students' experience in improving the involvement and behavior in student-student and student-lecturer interaction using Internet messengers is considered in the study (UMAM, 2017). The problem of the administration system functioning for collecting information from students were touched upon in (SARI, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

The technology of using telegram messenger as an e-learning tool

Prokopyev¹,

Костикова²,

Kuzin³

et al. 2021

Laplage

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This article objective is providing methodological guidelines on Telegram messenger using by educational process participants in the context of e-learning. The problem analysis is focused on examination of opportunities for messenger tools and technologies in interacting with users. The procedures of messenger using by teachers as part of e-learning are systematized. The trend for messenger using expansion as a tool for fast communication and monitoring task execution in e-learning is described. Methodological guidelines for teachers on using Telegram messenger for improving the educational organization efficiency in e-learning have been developed. The theoretical significance of the results lies in summarizing Russian and foreign experience in messenger гising for e-learning purposes. The necessity of using messengers in educational activity arrangement is justified. The effectiveness of their use is well-grounded.

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Section: Literature Reviewmentioning

confidence: 99%

The technology of using telegram messenger as an e-learning tool

Prokopyev¹,

Костикова²,

Kuzin³

et al. 2021

Laplage

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show abstract

“…The government's policy in the context of handling the massive spread of COVID-19 is the reason for the implementation of home education [2]. With the use of ubiquitous technology [3] which is suddenly employed, leads to the confusion of both educators and students, as well as their parents and even everyone in the house [4]. Information technology-based learning or known as e-learning or ubiquitous learning has long apply in various educational institutions [5], but online learning seems to have surprised almost all lines, both in the villages and even the world [6].…”

Section: Introductionmentioning

confidence: 99%

Serious game self-regulation using human-like agents to visualize students engagement base on crowd

et al. 2022

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Nowadays, the emergence of artificial intelligent (AI) technology for games has been advancely developed. A serious game is a technology employing AI to create a virtual environment in a serious gamification strategy. This research describes AI based virtual classrooms to adopt proper strategies and focusing on maintaining and increasing student engagement by encouraging self-regulation behavior at the learning process. The self-regulation behavior describes student's ability to direct their own learning to achieve learning targets on a path full of obstacles. By employing a human-like agent to visualize student engagement, this visualization aims to provide human-like experiences for users to comprehend student behavior. A reciprocal velocity obstacles (RVO)-based crowd behavior is employed to visualize student engagement. RVO is an autonomous navigation approach for directing the achievement of agents target. The human-like agents behave in various ways to reach the goal points depending on the performances and the obstacles before them. We employ our method in an investigation of students' learning activities in a pedagogically-centered learning environment at Universitas Islam Negeri (UIN) Walisongo, Semarang, Indonesia. The results demonstrate the best scenario changes along with the performances and obstacles faced to reach the goal points as well as the learning target.

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Students’ internal driving force or environment external driving force? Configuring digital learning power heterogeneity in a smart education environment

Yan,

2023

Interactive Learning Environments

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Internet messenger based smart virtual class learning using ubiquitous computing

Cited by 3 publications

References 11 publications

The technology of using telegram messenger as an e-learning tool

The technology of using telegram messenger as an e-learning tool

Serious game self-regulation using human-like agents to visualize students engagement base on crowd

Students’ internal driving force or environment external driving force? Configuring digital learning power heterogeneity in a smart education environment

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