Mastering Learning the Role of AI in Forestering

Artificial Intelligence involves the development of machines with an adequate level of Intelligence capable of performing human-like functions such as cognition, decision-making, learning, and adapting to the environment. In recent times, Artificial Intelligence has been extensively applied in instruction and learning to improve learning outcomes. Learning in the classroom may only be effective or proficient for some students due to differences in personality, learning preferences Etc. This study aims to find an optimum basis to classify learners and suggest a conceptual model that leverages Artificial Intelligence to foster mastery learning for uniform and improved learning outcomes through the review of relevant literature.

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Publication Details

Journal
ComFin Research
Published
2025-03-14
DOI
https://doi.org/10.34293/commerce.v13is1-i1-mar.8659
Primary Topic
Forest Management and Policy
Type
article
Field-Weighted Citation Impact
0.00
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article

Mastering Learning the Role of AI in Forestering

M Revathi
ComFin Research
Forest Management and Policy
article

Mastering Learning the Role of AI in Forestering

M Revathi
article en

Abstract

Artificial Intelligence involves the development of machines with an adequate level of Intelligence capable of performing human-like functions such as cognition, decision-making, learning, and adapting to the environment. In recent times, Artificial Intelligence has been extensively applied in instruction and learning to improve learning outcomes. Learning in the classroom may only be effective or proficient for some students due to differences in personality, learning preferences Etc. This study aims to find an optimum basis to classify learners and suggest a conceptual model that leverages Artificial Intelligence to foster mastery learning for uniform and improved learning outcomes through the review of relevant literature.

ComFin ResearchVol. 13(S1-i1-Mar)
G.S. Science, Arts And Commerce College (IN)
Openalex Percentile: Top 91%
Forest Management and Policy
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