Educating the future: AI’s role in shaping next-generation pedagogies

AI's integration in education marks a seismic shift in pedagogical practices, unlocking new potential to personalize learning, democratize access, and equip learners for the uncertainty that lies ahead. This article critically interrogates the emerging pedagogical landscape enabled by AI and explores it as a dual-edged sword that could either be an innovative tool or, turn into a threat by the way of ethics. Using case studies in K-12 education, the higher education, and corporate training, the study demonstrates AI-powered innovations, including adaptive learning platforms (such as DreamBox), intelligent tutoring systems (such as IBM Watson) and generative AI tools (such as ChatGPT), which improve the design of curriculum and collaborative learning. But the analysis also underscored significant risks, including algorithmic bias, violations of data privacy, and the exacerbation of global educational inequities. Drawing on empirical research, theoretical approaches, and ethical attention, the article makes the case that a human-cantered vision of AI is where it augments instead of replaces teachers’ work of cultivating creativity, empathy, and critical thought. Some of the key recommendations include strong policy frameworks for ethical AI Governance, training programs for teachers on AI literacy, and interdisciplinary research to tackle the long-term impact of AI on society. The study concludes with a call to stakeholders’ policymakers, technologists, and educators to work together on designing inclusive, equitable AI pedagogies that support human agency while utilizing technology’s potential to reimagine education in the 21st century.

Authors

Publication Details

Journal
International Journal of Science and Research Archive
Published
2025-04-14
DOI
https://doi.org/10.30574/ijsra.2025.15.1.1036
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

Educating the future: AI’s role in shaping next-generation pedagogies

Md Mainul Islam, Naznin Akter, Sayed Mahbub Hasan Amiri
1 links
International Journal of Science and Research Archive
Online Learning and Analytics
article

Educating the future: AI’s role in shaping next-generation pedagogies

Md Mainul Islam, Naznin Akter, Sayed Mahbub Hasan Amiri
article en

Abstract

AI's integration in education marks a seismic shift in pedagogical practices, unlocking new potential to personalize learning, democratize access, and equip learners for the uncertainty that lies ahead. This article critically interrogates the emerging pedagogical landscape enabled by AI and explores it as a dual-edged sword that could either be an innovative tool or, turn into a threat by the way of ethics. Using case studies in K-12 education, the higher education, and corporate training, the study demonstrates AI-powered innovations, including adaptive learning platforms (such as DreamBox), intelligent tutoring systems (such as IBM Watson) and generative AI tools (such as ChatGPT), which improve the design of curriculum and collaborative learning. But the analysis also underscored significant risks, including algorithmic bias, violations of data privacy, and the exacerbation of global educational inequities. Drawing on empirical research, theoretical approaches, and ethical attention, the article makes the case that a human-cantered vision of AI is where it augments instead of replaces teachers’ work of cultivating creativity, empathy, and critical thought. Some of the key recommendations include strong policy frameworks for ethical AI Governance, training programs for teachers on AI literacy, and interdisciplinary research to tackle the long-term impact of AI on society. The study concludes with a call to stakeholders’ policymakers, technologists, and educators to work together on designing inclusive, equitable AI pedagogies that support human agency while utilizing technology’s potential to reimagine education in the 21st century.

International Journal of Science and Research ArchiveVol. 15(1)
Openalex Percentile: Top 93%
Online Learning and Analytics
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