IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Technology-Based Computer-Assisted Learning: An IoTCAL Overview

Technology-Based Computer-Assisted Learning: An IoTCAL Overview
View Sample PDF
Author(s): Sinthuja U. (Ramakrishna College of Arts and Science, Coimbatore, India & Hindustan College of Arts and Science, Coimbatore, India)and Thavamani S. (Sri Ramakrishna College of Arts and Science, India)
Copyright: 2023
Pages: 8
Source title: Computer-Assisted Learning for Engaging Varying Aptitudes: From Theory to Practice
Source Author(s)/Editor(s): R. Dhaya (King Khalid University, Saudi Arabia)and R. Kanthavel (King Khalid University, Saudi Arabia)
DOI: 10.4018/978-1-6684-5058-1.ch001

Purchase

View Technology-Based Computer-Assisted Learning: An IoTCAL Overview on the publisher's website for pricing and purchasing information.

Abstract

In today's world, technology is taking over many parts of human existence, and computer aided learning (CAL) is an educational instrument that facilitates learning. Computer aided learning (CAL) is an integrated technology that specific role of IoT in education in a learning environment where a computerized tool is utilized to help a user study a specific topic. Incorporating technologies like artificial intelligence (AI), internet of things (IoT), virtual reality (VR) and augmented reality (AR) in CAL will be driving the present as well as future. The impact of pandemic conditions has resulted in an increase in CAL users, which is expected to make the CAL programme more successful. The proposed IoTCAL ideas are intended to provide a worthwhile learning experience by delivering efficient, engaging, and preemptive context-aware training smart services.

Related Content

Marlett Jasmin Blas Rivera. © 2024. 24 pages.
Mario Muñoz Mercado. © 2024. 31 pages.
Tahir Iqbal. © 2024. 31 pages.
Nadim Akhtar Khan. © 2024. 20 pages.
Sandra Viridiana Cortés Ruiz. © 2024. 26 pages.
María Elena Zepeda Hurtado, Claudia Angélica Membrillo Gómez, Francisco Javier Arias Candanosa. © 2024. 23 pages.
Renu Prajapati, Sandhya Gupta. © 2024. 29 pages.
Body Bottom