Role of Artificial Intelligence in the Future Educational Paradigm

Role of Artificial Intelligence in the Future Educational Paradigm

Copyright: © 2024 |Pages: 26
DOI: 10.4018/979-8-3693-1536-1.ch012
OnDemand:
(Individual Chapters)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

With its ability to combine cognitive psychology, data analytics, and machine learning, artificial intelligence (AI) holds great promise for improving academic performance and outcomes through customized learning experiences. The field of teaching and learning could be completely transformed by artificial intelligence (AI). Teachers can better prepare students for success in the digital age, improve student outcomes, and personalize learning by utilizing AI-powered tools and strategies. This chapter gave an overview of the state of education today and how artificial intelligence (AI) can improve it. Applications of AI in online learning environments are also covered. A few AI tools with educational applications were mentioned along with their functions. A few e-learning programs that currently employ AI were also mentioned. There was also discussion about other technologies that, aside from artificial intelligence, will elevate the bar for education.
Chapter Preview
Top

Introduction

Students can build a foundation of knowledge and lifelong skills in schools and colleges that will help them succeed as adults (Green, 1997). Teachers' lessons have to change to keep up with the ever-evolving needs of today's students, who learn in different ways. In order to prepare students for the future, schools must continue to adapt to these changes and understand how important it is to implement technology solutions and collaborative learning. To begin with, it is important to seriously consider the following question: what will the future of education entail? The much-discussed shift in education toward digitalization has been sparked by the Covid-19 outbreak (Tadesse & Muluye, 2020). Formerly the exception rather than the rule, online learning and hybrid education are now the norm. The prepackaged learning resources that underpin the Socratic method of teaching and learning are no longer essential. From being the “sage on stage” to being the “guide on the side,” the role of teachers have changed. They have changed from being knowledge providers to knowledge facilitators.

A comparable shift has been noted in students enrolled in 21st-century courses. Because they can easily access a vast amount of information with just one click, students are actively participating in the creation of content, setting the pace and location of their education, and demanding more control over the experiences they have during their education. The use of flipped classrooms is fostering higher order thinking. The use of tags in folksonomy shows that students are effective knowledge creators who share their findings on social media. The actual learning environment has changed in tandem with these modifications in the characteristics of instructors and students. The definition of education is being redefined by the combined forces of pedagogy and technology. The focus is gradually moving from imparting knowledge to creating responsible, educated people who are aware of sustainability.

The third decade of the twenty-first century will see the direction of education determined by future learning systems (Ke Z., Ayse B. A., 2021). A few of these systems' many components call for teacher preparation in order to empower educators to spearhead this transformation going forward. To be ready for the classroom of 2030, one must have a thorough understanding of the new-age instructional systems. Utilizing learning resources effectively, adapting to changing conditions, competency-based learning, being digitally literate, and making snap decisions will help educators make the most of modern instructional systems that effectively integrate new pedagogy and technology.

It is crucial to accurately and consistently evaluate students' work in order to support their acquisition of concrete skills rather than abstract knowledge (Dali, Qingyuan, Jinjin & Yongfan, 2023). In many educational institutions, computer-based and computer-assisted assessments are already being used. Collaborative cloud-based technology will track a student's academic progress across years and institutions to create a comprehensive learning profile. Selecting the appropriate assessment type would be a challenge for the teachers.

Students nowadays don't find it acceptable to take a passive approach to learning (Lamon, Knowles, Hendy, Story & Currey, 2020). They require full engagement in the process of creating curriculum, organizing lessons, creating content, and even creating assessments. It is the responsibility of educators to lead students through this increased engagement and select the student-generated content.

The majority of schools in the globe are currently using hybrid platforms (Raes, 2022). To deliver instruction and evaluate student performance, educators use a variety of technologically advanced platforms and learning management systems. Through interoperability in education, smart technologies powered by big data and neural networks will connect disparate data sets to produce an extensive and coherent information pool.

Education settings that are prepared for the future are made to support communication, cooperation, creative problem solving, and critical thinking. Students can hone their current skills and learn new ones in these areas.

Key Terms in this Chapter

Metaverse: A network of three-dimensional virtual worlds with a social and economic connection.

Education 4.0: A learning strategy connected to the fourth industrial revolution seeks to use automation and cutting-edge technology to change education in the future. Smart technology, robotics, and artificial intelligence are all part of this technological revolution.

E-Learning: A structured course or learning experience that is delivered electronically. An e-learning program can also consist of a wide range of components, including video, quizzes, simulations, games, activities, live or recorded lecture content, and other interactive elements.

Artificial Intelligence: The intelligence of computers or software, as opposed to the intelligence of people or animals.

Future Ready Learning: A dedication to cutting-edge teaching strategies that help educators and learners acquire the competencies required for a world that is changing quickly.

ChatBot: A program or online interface that uses text or voice interactions to simulate human communication.

Predictive Analytics: The process of utilizing data to foster future results.

Gamification: the application of common gaming elements to other domains in order to promote product or service engagement.

Natural Language Processing (NLP): A machine learning technique that enables computers to understand, manipulate, and interpret human language.

Complete Chapter List

Search this Book:
Reset