Deepti Deshmukh
Biographic Data
| ID | 8968298 |
|---|---|
| NAME | Deepti Deshmukh |
| GIVEN NAMES | Deepti |
| FAMILY NAME | Deshmukh |
| SIGNATURE | DESHMUKH D |
| AFFILIATIONS | Bharati Vidyapeeth Deemed University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Predictive Analytics for Student Performance in Digital Media Courses
The fast adoption of the digital media technologies has altered the practices of learning, creative production, and assessment in higher education. Traditional evaluation methods are mostly retrospective and do not offer much assistance in the early detection of academic vulnerability. This paper seeks to solve this problem of poor predictive visibility by suggesting a predictive analytics model of student outcomes in digital media learning. The …
Predictive Audience Engagement for Performing Arts
The primary indicator of performing arts impact and sustainability is the audience engagement, which is traditionally measured retrospectively and in coarse-grain, as surveys, attendance statistics, and critical reviews. The current paper suggests a human-oriented predictive audience engagement framework incorporating cognitive theory, multimodal behavioral and emotive predictors, and human-in-the-loop analytics into a real-time deployable system…
No prominent works on this page.
Predictive Analytics for Student Performance in Digital Media Courses
The fast adoption of the digital media technologies has altered the practices of learning, creative production, and assessment in higher education. Traditional evaluation methods are mostly retrospective and do not offer much assistance in the early detection of academic vulnerability. This paper seeks to solve this problem of poor predictive visibility by suggesting a predictive analytics model of student outcomes in digital media learning. The …
Predictive Audience Engagement for Performing Arts
The primary indicator of performing arts impact and sustainability is the audience engagement, which is traditionally measured retrospectively and in coarse-grain, as surveys, attendance statistics, and critical reviews. The current paper suggests a human-oriented predictive audience engagement framework incorporating cognitive theory, multimodal behavioral and emotive predictors, and human-in-the-loop analytics into a real-time deployable system…
Analytics (2 works) · Predictive analytics (2 works) · Academic integrity and plagiarism (1 works) · Creativity in Education and Neuroscience (1 works) · Emotive (1 works) · Feature engineering (1 works) · Interpretability (1 works) · Learning analytics (1 works) · Music Technology and Sound Studies (1 works) · Neuroscience and Music Perception (1 works)