Evaluation of Student Feedback Within a MOOC Using Sentiment Analysis and Target Groups

Many course designers trying to evaluate the experience of participants in a MOOC will find it difficult to track and analyse the online actions and interactions of students because there may be thousands of learners enrolled in courses that sometimes last only a few weeks. This study explores the u...

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Bibliographic Details
Published in:International review of research in open and distance learning 2020-09, Vol.21 (3), p.140-156
Main Authors: Lundqvist, Karsten, Liyanagunawardena, Tharindu, Starkey, Louise
Format: Article
Language:English
Subjects:
Algorithms
Computer & video games
Computer Mediated Communication
Computer Science Education
Course Content
Data Analysis
Distance learning
Electronic Learning
Environment
Feedback
Feedback (Response)
Instructional design
Instructional Materials
Language Processing
learner analytics
Learning Analytics
Learning Experience
Measurement Techniques
MOOC
MOOCs
Natural Language Processing
Negative Attitudes
Online Courses
Online instruction
Peer Relationship
Positive Attitudes
Prior Learning
Problem solving
Programming
Reflection
Sentiment analysis
Social networks
Social research
Socialization
Student Attitudes
Student Evaluation
Student Experience
Student Motivation
target group
Teaching Methods
teaching programming
Test Results
Citations: Items that cite this one
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