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E-Learning Engagement Analytics
Data Science and Analytics
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About
This dataset captures user engagement metrics from an online course platform, offering insights into factors that influence course completion. It is designed to facilitate analyses on user behaviour and is particularly suitable for predictive modelling and machine learning projects aimed at understanding course completion dynamics. This dataset is a synthetic, original creation intended for educational purposes.
Columns
- UserID: A unique identifier assigned to each user.
- CourseCategory: Specifies the category of the course undertaken by the user, such as Programming, Business, or Arts.
- TimeSpentOnCourse: Represents the total duration, in hours, that a user has spent on the course.
- NumberOfVideosWatched: Indicates the total count of videos viewed by the user.
- NumberOfQuizzesTaken: Shows the total number of quizzes a user has attempted.
- QuizScores: Provides the average percentage scores achieved by the user in quizzes.
- CompletionRate: The percentage of course content that the user has completed.
- DeviceType: Denotes the type of device used by the user, where 0 signifies Desktop and 1 signifies Mobile.
- CourseCompletion (Target Variable): The status of course completion, with 0 indicating "Not Completed" and 1 indicating "Completed".
Distribution
The dataset is provided in CSV format and is approximately 684.32 KB in size. It comprises 9 columns and contains 9,000 individual records or rows. The distribution of the target variable, CourseCompletion, shows that 48% of records are for "Not Completed" (0) and 52% are for "Completed" (1).
Usage
This dataset is ideal for various applications, including:
- Developing predictive models to forecast online course completion.
- Conducting in-depth analyses of user behaviour on e-learning platforms.
- Identifying key engagement factors that contribute to successful course completion.
- Machine learning projects focused on educational data.
Coverage
This dataset focuses on user engagement metrics and course-specific data from an online learning environment. It is a synthetic dataset generated for educational purposes. Specific geographic or time range coverages are not applicable as the data is not derived from a real-world demographic or temporal scope.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
This dataset is primarily intended for data scientists, machine learning practitioners, and researchers. It is suitable for anyone interested in exploring user behaviour, engagement patterns, and predicting outcomes within online learning environments. Its synthetic nature makes it an excellent resource for educational and training projects in data science and machine learning.
Dataset Name Suggestions
- Online Learning Success Predictor
- E-Learning Engagement Analytics
- User Course Completion Data
- Digital Education Behaviour Dataset
- Online Course Outcomes Data
Attributes
Original Data Source: E-Learning Engagement Analytics
QUALITY