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

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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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-30
DOI
https://doi.org/10.5281/zenodo.17284923
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Genomics and Phylogenetic Studies
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
M.J.P. Rohilkhand University (IN)
Quality Education
Openalex Percentile: Top 46%
Genomics and Phylogenetic Studies
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Artificial Intelligence and Evaluation in the Teaching-Learning Process: Emerging Paradigms and Directions · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS