AI based approach to Trailer Generation for Online Educational Courses
Project Overview
The document discusses the implementation of generative AI in education, specifically through an innovative AI-based framework designed to automate the creation of video trailers for online courses. By leveraging machine learning and natural language processing, this framework significantly reduces the manual effort involved in producing course trailers, which traditionally require extensive human intervention. The automation not only streamlines the trailer creation process using a template-based approach but also enriches the content with multimedia elements to engage potential learners effectively. The findings indicate that these AI-generated trailers assist learners in making informed decisions regarding course selection, thereby increasing interest and accessibility in online education. Overall, the integration of generative AI in this context highlights its potential to enhance educational marketing strategies and improve learner engagement through efficient content generation.
Key Applications
AI-based Trailer Generation for Online Educational Courses
Context: Online educational platforms such as Coursera and Udemy targeting learners seeking to enroll in courses.
Implementation: A semi-automatic template-based framework for generating trailers; content is auto-generated and enhanced with multimedia.
Outcomes: Increased learner engagement and informed decision-making regarding course selection; positive feedback from user evaluations.
Challenges: Dependence on the quality of input resources; ensuring that auto-generated content meets learner expectations.
Implementation Barriers
Technical Barrier
The complexity of generating high-quality content and ensuring coherence in automated outputs.
Proposed Solutions: Implementing feedback mechanisms for continuous improvement based on user evaluations.
User Acceptance Barrier
Skepticism towards automated content generation and its effectiveness compared to human-generated content.
Proposed Solutions: Conducting thorough evaluations and demonstrating the quality and engagement of generated trailers.
Project Team
Prakhar Mishra
Researcher
Chaitali Diwan
Researcher
Srinath Srinivasa
Researcher
G. Srinivasaraghavan
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Prakhar Mishra, Chaitali Diwan, Srinath Srinivasa, G. Srinivasaraghavan
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai