E-Learning: Virtual classrooms as an added learning platform

Nyarko, Michael Gyan; Ventura, Neco

doi:10.1109/sibircon.2010.5555116

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…Furthermore, student sampling in virtual collaborative learning allows for the exploration of the impact of technology on student engagement and motivation. In traditional classrooms, group work is common for certain activities, and virtual collaborative learning aims to replicate and enhance this aspect of education [27]. In addition, a part of population to undergo an observation process and data from it are collected.…”

Section: Sampling Techniquesmentioning

confidence: 99%

Evaluating Students Acceptance of AI Chatbot to Enhance Virtual Collaborative Learning in Malaysia

Yahaya,

Bakar,

Jabar

et al. 2024

IJSDP

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The pandemic COVID-19 has created a crisis in tertiary education sectors worldwide with significant impacts in Malaysia. It gives the challenge to students to cope with their new learning setup. However, with the help of technology such as AI chatbot, students can receive instant assistance in seeking and accessing information and limit the disruptions during online classes. Furthermore, the advancements in AI technology have led to improvements in natural language processing, enabling chatbots to engage in more natural interactions and provide better visual and audio representations. Therefore, the purpose of this study is to examine students' acceptance on the effectiveness of AI chatbots to solve virtual class issues. The factors involved in this process were identified and include perceived ease of use, perceived usefulness, and perceived security. A total of 376 responses were taken into this study, and the data were analyzed using SPSS software. The results indicated that higher education authorities should focus on the effectiveness of AI chatbot by its perceived ease of use which has the highest significance value followed by perceived usefulness and perceived security as the less significance value. Findings were proved by testing through Pearson correlation coefficient and multiple linear regression. University authorities should provide students with basic techniques for learning, as well as sufficient understanding and teaching about the system's capabilities, which can help students' confidence in and willingness to adopt the technology.

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Section: Sampling Techniquesmentioning

confidence: 99%

Evaluating Students Acceptance of AI Chatbot to Enhance Virtual Collaborative Learning in Malaysia

Yahaya,

Bakar,

Jabar

et al. 2024

IJSDP

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“…Cisco is the brand of all devices connected under NKN [8] and all these devices are installed by Hindustan Corporation Limited (HCL) which provides secure and reliable connectivity of the National Knowledge etwork in India. The significance of NKN is to enhance the quality of teaching and research in higher education and to promote Elearning rather than using the traditional approach and these are well explained in [9][10][11][12]. When the users are working in the heterogeneous system, the security of information is essential over the network in which all kinds of the users are attached through the network.…”

Section: Introductionmentioning

confidence: 99%

Performance of an Endian Operating System for Step Topology

Zaidi¹,

Saxena²

2012

IJCA

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In the current scenario, distributed computing approach is most popular approach for computing the processes known as subtasks, subroutines, macro's etc due to low cost involvement and minimum execution time. In the present work, the computer systems are attached with the help of static interconnection through step topology in which one machine is working as server and Endian operating system is loaded on the server. A Unified Modeling Language (UML) is used to demonstrate the model of working of Endian operating system. The performance of Endian operating system in terms of firewall execution is monitored for the various user identification controlled connected by Internet Protocol (IP Version 4) where the users are connected through static topology. The loading and balancing are also performed by Endian operating system for transferring of data from one machine to another machine and results are depicted in terms of tables and graphs.

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“…This concept is analyzed in [5] and authors discussed the digital technology for e-Learning in distance education [5]. In [6], Michael & Neco introduced about the e-Learning Virtual classrooms and evaluates a whiteboard application over and IMS test-bed. Virtual classrooms have become more common with the introduction of Web 2.0 providing another platform on which students can engage academically.…”

Section: Introductionmentioning

confidence: 99%