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Article . 2024
License: CC BY
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Global Journal of Engineering and Technology Advances
Article . 2024 . Peer-reviewed
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Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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A paradigm shift in education: Prospects and recommendations for schools in 2030

Authors: Housseine Bachiri;

A paradigm shift in education: Prospects and recommendations for schools in 2030

Abstract

The interest of this study is borne out of an attempt to investigate the drastic change that technology has brought to the instructional core. The future of schools is exponentially upgrading through the integration of sophisticated educational systems that appear to create a whole new trajectory for all education stakeholders. Instruction will be adaptive and assessment will be real-time. In this profound and complex scenario, current schools will no longer be the epicenters of knowledge as AI-powered educational tools will hegemonize and remarkably offer extraordinarily enticing adaptive learning opportunities through smart classrooms and other technological trends and patterns, such as Cloud Computing (connectivity and data security) and the Internet of Things (IoT) (intelligent whiteboards). Needless to say, technology enhanced learning will unequivocally become the pinnacle of education. Therefore, many educators will have to expand their instructional technology to rise to the occasion.

Keywords

Educational technology, Artificial intelligence, Research, Types of reality, Instructional core, Pedagogy-driven design, Schools in 2030, Technology enhanced learning

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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