Ananta Narayana
Biographic Data
| ID | 8969293 |
|---|---|
| NAME | Ananta Narayana |
| GIVEN NAMES | Ananta |
| FAMILY NAME | Narayana |
| SIGNATURE | NARAYANA A |
| AFFILIATIONS | Noida International University |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Ai-Generated Learning Resources for Creative Fields
With the rapid development of artificial intelligence, the production and distribution of educational material have changed, especially in such creative industries as art, design, music, media, and architecture. The paper explores how AI-generated learning tools can be used to improve creative education through offering adaptive, multimodal, and personalized teaching resources. In contrast to more conventional tools of a static nature, generative…
Intelligent Systems for Digital Exhibition Design
The study evaluates the evolution and the use of smart systems in designing digital exhibits with the key aspects of how artificial intelligence (AI), machine learning, and immersive technologies can redefine the conventional exhibition models into responsive, interactive, and data-driven cultural experiences. Combining computational intelligence with the human imagination, the study shows that AI-aided curation can boost aesthetic expression, as…
Affective Computing in Modern Art Education
Affective computing Affective computing, or more strictly speaking, its recognition and interpretation of human emotions, has emerged as an influential model in the redesigning of art education. This paper will examine how emotion-sensitive technologies can be applied to contemporary art schools to improve creativity, participation, and self-directed learning. Conventional pedagogy of art tend to focus on technical achievement and abstract explor…
Generative Ai for Multicultural Music Education
Generative Artificial Intelligence is quickly transforming music education with the ability to create new creative experiences, opportunities of cultural interaction, and tailored learning. In this paper, the authors explain how to design and implement a Generative AI framework on multicultural music education to assist in preserving, exploring, and pedagogically integrating various musical traditions. The proposed approach is based on ethnomusic…
Sentiment-Based Feedback in Art Education
The paper proposes a multimodal sentiment-based feedback system that can be employed to improve emotional awareness, engagement and creative performance in art education. With the combination of text sentiment analysis, speech emotion recognition, facial expression modeling, and digital behavior logging, the system is able to offer adaptive and emotionally appropriate feedback that helps students throughout intricate creative assignments. Impleme…
Integrating Chatgpt for Music History Education
In this paper, the researcher will discuss the possibility of the integration of ChatGPT as the innovative pedagogical tool in teaching music history and how the proposed tool can increase engagement, accessibility, and personalization. The research methodology was a mixed approach and 120 undergraduate learners were used in analyzing the performance of AI-assisted instruction in developing comprehension, creativity, and critical thinking skills …
Data Driven Patron Engagement in Art Institutions
The institutions of art find themselves in that situation more and more, trying to maintain the attention of the visitors because of shifting expectations of the audience, the disruptive influence of digital technologies, and the lack of understanding of the heterogeneous behavior of the patrons. Conventional methods of engagement are based on intuit, stationary surveys or post-experience surveys and they have little abilities in forseeing inclin…
No prominent works on this page.
Intelligent Systems for Digital Exhibition Design
The study evaluates the evolution and the use of smart systems in designing digital exhibits with the key aspects of how artificial intelligence (AI), machine learning, and immersive technologies can redefine the conventional exhibition models into responsive, interactive, and data-driven cultural experiences. Combining computational intelligence with the human imagination, the study shows that AI-aided curation can boost aesthetic expression, as…
Affective Computing in Modern Art Education
Affective computing Affective computing, or more strictly speaking, its recognition and interpretation of human emotions, has emerged as an influential model in the redesigning of art education. This paper will examine how emotion-sensitive technologies can be applied to contemporary art schools to improve creativity, participation, and self-directed learning. Conventional pedagogy of art tend to focus on technical achievement and abstract explor…
Generative Ai for Multicultural Music Education
Generative Artificial Intelligence is quickly transforming music education with the ability to create new creative experiences, opportunities of cultural interaction, and tailored learning. In this paper, the authors explain how to design and implement a Generative AI framework on multicultural music education to assist in preserving, exploring, and pedagogically integrating various musical traditions. The proposed approach is based on ethnomusic…
Sentiment-Based Feedback in Art Education
The paper proposes a multimodal sentiment-based feedback system that can be employed to improve emotional awareness, engagement and creative performance in art education. With the combination of text sentiment analysis, speech emotion recognition, facial expression modeling, and digital behavior logging, the system is able to offer adaptive and emotionally appropriate feedback that helps students throughout intricate creative assignments. Impleme…
Integrating Chatgpt for Music History Education
In this paper, the researcher will discuss the possibility of the integration of ChatGPT as the innovative pedagogical tool in teaching music history and how the proposed tool can increase engagement, accessibility, and personalization. The research methodology was a mixed approach and 120 undergraduate learners were used in analyzing the performance of AI-assisted instruction in developing comprehension, creativity, and critical thinking skills …
Data Driven Patron Engagement in Art Institutions
The institutions of art find themselves in that situation more and more, trying to maintain the attention of the visitors because of shifting expectations of the audience, the disruptive influence of digital technologies, and the lack of understanding of the heterogeneous behavior of the patrons. Conventional methods of engagement are based on intuit, stationary surveys or post-experience surveys and they have little abilities in forseeing inclin…
Ai-Generated Learning Resources for Creative Fields
With the rapid development of artificial intelligence, the production and distribution of educational material have changed, especially in such creative industries as art, design, music, media, and architecture. The paper explores how AI-generated learning tools can be used to improve creative education through offering adaptive, multimodal, and personalized teaching resources. In contrast to more conventional tools of a static nature, generative…
Aesthetic Perception and Analysis (3 works) · Creativity (3 works) · Affective Computing (2 works) · Cultural heritage (2 works) · Digital Media and Visual Art (2 works) · Facial expression (2 works) · Generative grammar (2 works) · Museums and Cultural Heritage (2 works) · Music Technology and Sound Studies (2 works) · Personalization (2 works)