Fehmina Khalique
Biographic Data
| ID | 10128717 |
|---|---|
| NAME | Fehmina Khalique |
| GIVEN NAMES | Fehmina |
| FAMILY NAME | Khalique |
| SIGNATURE | KHALIQUE F |
| AFFILIATIONS | Noida International University |
| ORCID | 0000-0002-2519-3174 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Virtual Reality-Based Sculpture Education Frameworks
With the emergence of Virtual Reality (VR) technologies, the field of sculpture education has gained the opportunity to overcome the limitations of physical materials, studio environment, and conventional teaching structures. The proposed paper suggests a cohesive VR-based Sculpture Education Framework consisting of the combination of immersive tools and the recognized sculptural practices to improve learning of creativity, development of technic…
Ai for Regional Art Mapping and Preservation
Artificial intelligence has proven to be a paradigm shift in preservation of cultural heritage and has made it possible to digitize vast portions of heritage, classify intelligently and semantically interconnect regional art forms. The paper introduces a full-fledged AI-based regional art mapping and preservation framework that incorporates various forms of multimodal data visual, textual, and geospatial data in an integrated cultural knowledge f…
Management Models for Digital Art Academies
The emergence of digital art academies is a paradigm shift in the organization, management, and delivery of creative education. The present paper explores in-depth management models that would apply to digital and hybrid creative institutions that are a combination of traditional studio pedagogy and AI-powered and data-driven models. The paper starts with an examination of traditional art academy governance and how they are constrained to deal wi…
Fusion of Cultural Heritage and Ai in Sculptural Reproduction
Cultural heritage and artificial intelligence have brought art reproduction to a new level of sophistication, which is data-driven and capable of rendering a sculpture with a high level of accuracy, interpretability, and preservation value. Manual production and interpretation has been the main source of traditional sculptural replication that caused inconsistency and restrictions in restoring fragmented or eroded artifacts. Recent developments o…
Ai-Generated Photobooks for Educational Use
The fast development of artificial intelligence has created new opportunities in the creation of educational materials, previously, the so-called AI-based photobooks to learn visually. This paper will look into the creation, application, and instructional worth of AI-created photobooks on various education levels. Based on the existing models of visual cognition and multimedia education, the study seeks to understand how visual images and layouts…
Integrating Generative Ai Into Art Pedagogy
The present paper suggests an all-encompassing model of applying the Generative Artificial Intelligence in art education in the form of Hybrid Pedagogical Model of AI-Art Learning (HPM-AI). The model reformulates creativity as a collaborative activity between the human intent and algorithmic production, focusing on reflective learning, ethical consciousness and open participation. The analysis of the study brings together the cognitive theory, co…
Adaptive Learning Models for Art Curation Education
The paper introduces an intelligent learning model of Adaptive Curation Learning Model (A-CLM), an educational architecture that combines artificial intelligence and multimodal analytics and deep reinforcement learning to customize the art curation pedagogy. The model is dynamic and changes the content of instructions, depending on the behavioral, cognitive, and affective profiles of the learners, which enhances more profound and reflective learn…
No prominent works on this page.
Virtual Reality-Based Sculpture Education Frameworks
With the emergence of Virtual Reality (VR) technologies, the field of sculpture education has gained the opportunity to overcome the limitations of physical materials, studio environment, and conventional teaching structures. The proposed paper suggests a cohesive VR-based Sculpture Education Framework consisting of the combination of immersive tools and the recognized sculptural practices to improve learning of creativity, development of technic…
Ai for Regional Art Mapping and Preservation
Artificial intelligence has proven to be a paradigm shift in preservation of cultural heritage and has made it possible to digitize vast portions of heritage, classify intelligently and semantically interconnect regional art forms. The paper introduces a full-fledged AI-based regional art mapping and preservation framework that incorporates various forms of multimodal data visual, textual, and geospatial data in an integrated cultural knowledge f…
Management Models for Digital Art Academies
The emergence of digital art academies is a paradigm shift in the organization, management, and delivery of creative education. The present paper explores in-depth management models that would apply to digital and hybrid creative institutions that are a combination of traditional studio pedagogy and AI-powered and data-driven models. The paper starts with an examination of traditional art academy governance and how they are constrained to deal wi…
Fusion of Cultural Heritage and Ai in Sculptural Reproduction
Cultural heritage and artificial intelligence have brought art reproduction to a new level of sophistication, which is data-driven and capable of rendering a sculpture with a high level of accuracy, interpretability, and preservation value. Manual production and interpretation has been the main source of traditional sculptural replication that caused inconsistency and restrictions in restoring fragmented or eroded artifacts. Recent developments o…
Ai-Generated Photobooks for Educational Use
The fast development of artificial intelligence has created new opportunities in the creation of educational materials, previously, the so-called AI-based photobooks to learn visually. This paper will look into the creation, application, and instructional worth of AI-created photobooks on various education levels. Based on the existing models of visual cognition and multimedia education, the study seeks to understand how visual images and layouts…
Integrating Generative Ai Into Art Pedagogy
The present paper suggests an all-encompassing model of applying the Generative Artificial Intelligence in art education in the form of Hybrid Pedagogical Model of AI-Art Learning (HPM-AI). The model reformulates creativity as a collaborative activity between the human intent and algorithmic production, focusing on reflective learning, ethical consciousness and open participation. The analysis of the study brings together the cognitive theory, co…
Adaptive Learning Models for Art Curation Education
The paper introduces an intelligent learning model of Adaptive Curation Learning Model (A-CLM), an educational architecture that combines artificial intelligence and multimodal analytics and deep reinforcement learning to customize the art curation pedagogy. The model is dynamic and changes the content of instructions, depending on the behavioral, cognitive, and affective profiles of the learners, which enhances more profound and reflective learn…
Aesthetic Perception and Analysis (4 works) · Creativity (4 works) · Art, Technology, and Culture (3 works) · Cultural heritage (3 works) · 3D Surveying and Cultural Heritage (2 works) · Art Education and Development (2 works) · Cognition (2 works) · Digital art (2 works) · Experiential learning (2 works) · Sculpture (2 works)