Unleashing AI's Potential for Optimal Student Learning in Education: Ethical Implications

Unleashing AI's Potential for Optimal Student Learning in Education: Ethical Implications

DOI: 10.4018/979-8-3693-0205-7.ch005
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Abstract

The impact of technology and its advancements has proliferated in all the sectors of the economy, including the education sector. The integration of technology into the education sector is very evident from the teaching pedagogy and strategies followed by educational institutions worldwide. The concept of blended learning has gained much attention due to its multifaceted nature; as it includes blending traditional face to face teaching with the use of online and electronic media. As the integration of technology requires huge amounts of student data to be processed, it can also lead to ethical dilemmas and concerns due to its sensitive and confidential nature. This chapter focuses on the various dimensions of technological integration in the education system and its practical implications on enhancing student learning and engagement. In order to provide a road map for future research on developing an education model that can improve learning and teaching experiences, the article also addresses key hurdles, ethical issues, and potential risks of integrating AI for education.
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The Transformative Opportunities Of Ai In Education

While it is still important to assist students in acquiring fundamental practical skills, education should also focus on the human development of its pupils as members of local, national, and international society. Education must be perceived as a means of achieving lifelong learning, fulfillment, enjoyment, welfare, opportunities, and the ability to make a positive contribution to humanity (Astle et al., 2019). Therefore, in order to empower all students to make informed decisions and cultivate their passions and distinctive abilities, schools must offer thorough access and in-depth exposure to all subject areas across all years (Chen, 2023).

Key Terms in this Chapter

Artificial Intelligence: The replication of human intelligence functions by machines, particularly computer systems, is known as artificial intelligence.

Smart Classrooms: Classrooms unlike the traditional conventional chalk and talk method, involving smart technology applications to engage the learners well.

Intelligent Tutoring Systems: A computer a computer programme that promises to give students personalized, immediate feedback or instruction, typically without the need for teacher intervention.

Natural Language Processing: The ability of a computer programme to comprehend spoken and written natural language is known as natural language processing (NLP).

Blended Learning: A learning environment blended with technological applications and software.

Augmented Reality: A computer-generated perception of the real world is enhanced through an interactive experience called augmented reality. Augmented reality uses software, apps, and hardware like AR glasses to superimpose digital material over actual settings and objects.

Virtual Reality: The computer-generated three-dimensional image of a virtual environment that can facilitate user interaction with the help of special equipment.

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