MOOD MENTOR - SMART AI-DRIVEN ADAPTIVE STUDY PLATFORM

ABSTRACTArtificial Intelligence (AI) is reshaping various sectors within our society, including the field of education. In this regard, emotions are crucial to the teaching-learning process as they impact academic achievement, motivation, memory retention, and the overall well-being of students. Therefore, the incorporation of AI into emotional assessment in educational settings presents numerous benefits that can change our approach to understanding and supporting the socio-emotional growth of students. Nevertheless, there is still a gap in having a thorough framework that organizes the achievements, challenges, and possibilities within this domain. The utilization of artificial intelligence (AI) in education is increasing and has garnered significant attention in recent years. The 2018 Horizon Report (Educause, 2018) highlights AI and adaptive learning technologies as key advancements in educational technology, with an expected adoption timeline of 2 to 3 years. AI algorithms and educational robots have become essential components of learning management and training systems, offering assistance for a diverse range of teaching and learning activities. Keywords: AI Adaptive learning systems, AI-Enabled learning systems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-06
DOI
https://doi.org/10.5281/zenodo.15161879
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
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article

MOOD MENTOR - SMART AI-DRIVEN ADAPTIVE STUDY PLATFORM

Zenodo (CERN European Organization for Nuclear Research)
Technology-Enhanced Education Studies
article

MOOD MENTOR - SMART AI-DRIVEN ADAPTIVE STUDY PLATFORM

article en

Abstract

ABSTRACTArtificial Intelligence (AI) is reshaping various sectors within our society, including the field of education. In this regard, emotions are crucial to the teaching-learning process as they impact academic achievement, motivation, memory retention, and the overall well-being of students. Therefore, the incorporation of AI into emotional assessment in educational settings presents numerous benefits that can change our approach to understanding and supporting the socio-emotional growth of students. Nevertheless, there is still a gap in having a thorough framework that organizes the achievements, challenges, and possibilities within this domain. The utilization of artificial intelligence (AI) in education is increasing and has garnered significant attention in recent years. The 2018 Horizon Report (Educause, 2018) highlights AI and adaptive learning technologies as key advancements in educational technology, with an expected adoption timeline of 2 to 3 years. AI algorithms and educational robots have become essential components of learning management and training systems, offering assistance for a diverse range of teaching and learning activities. Keywords: AI Adaptive learning systems, AI-Enabled learning systems.

Zenodo (CERN European Organization for Nuclear Research)
Indian Numismatic, Historical and Cultural Research Foundation (IN)
Quality Education
Openalex Percentile: Top 48%
Technology-Enhanced Education Studies
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