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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Artificial Intelligence and Evaluation in the Teaching-Learning Process: Emerging Paradigms and Directions

Authors: Neeraj Kumar; Anukampa;

Artificial Intelligence and Evaluation in the Teaching-Learning Process: Emerging Paradigms and Directions

Abstract

In recent educational setup Artificial Intelligence is growing faster which is changing the whole perspective of the education sector. Now the teaching – learning process is equipped with new technological advancement. In this research paper researchers intended to mention all AI enhanced features which are affecting educational setup in various ways. In this critical evaluative research study researcher conducted this research study in a specific domain of evaluation and assessment process with teaching learning advancements. In this research study recent reviews, feedback analysis and interpreting techniques with AI applications being involved for better comprehensive research. Other various strategies such as adaptive learning, data analytics and automated based learning which are induced with AI applications are also those evaluation and assessment areas. A bonding between AI and human resources is a new thing for every field, same for education as well. At one end this union makes things exploring and advanced, but on the other hand it is also adversely affecting human natural intellect and originality. Professional growth with AI advancement is also a new thought-provoking aspect which is affecting the teaching-learning process in different ways. For better development and advancement of the education sector depends upon genuine utility of AI with creative transformation of human skills. This research study will emphasise on all possible aspects of AI based evaluation and assessment in the teaching- learning process.

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Keywords

Data Analysis, Artificial intelligence, classroom learning, Artificial Intelligence, grading system, Teaching method, Data analysis, assessment and evaluation, automated and adaptive assessment, ai ethics

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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
Green