Why Are Some Online Educational Programs Successful? Student Cognition and Success
Project Overview
The document examines the integration of generative AI in education, particularly highlighting a successful online graduate program in computer science with a focus on an artificial intelligence course. It emphasizes the role of student self-efficacy and self-regulated learning as crucial elements for success in online learning environments. The findings indicate that students enrolled in the AI course demonstrated high levels of motivation and self-regulation, which were positively correlated with their academic performance. This contrasts with the typically low completion rates seen in traditional Massive Open Online Courses (MOOCs), suggesting that thoughtfully designed online courses can enhance student engagement and outcomes. Overall, the document underscores the potential of generative AI to foster effective learning experiences and improve educational achievements in online settings.
Key Applications
Online AI course
Context: Graduate-level online education targeting students enrolled in a computer science master's program.
Implementation: The course was designed to include the same materials and assessments as the residential equivalent, with a focus on fostering self-regulated learning and self-efficacy among students.
Outcomes: High levels of student motivation and self-regulation, leading to completion rates comparable to residential courses and improved academic performance.
Challenges: Difficulty in providing personalized feedback and support in large online classes, which can affect student engagement and retention.
Implementation Barriers
Structural
Traditional MOOCs often lack the necessary structures for student success, such as expert feedback and social interaction.
Proposed Solutions: Implementing structured online programs with elements like personalized feedback, learning assistance, and opportunities for social interaction.
Project Team
Marissa Keech
Researcher
Ashok Goel
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Marissa Keech, Ashok Goel
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