E-learning Student Engagement and Disengagement Image Dataset for Educational Research
Description
The Student Engagement and Disengagement Image Dataset appears to be a valuable resource for research focused on recognizing student engagement levels in e-learning environments. High quality images of students are required to solve classification and recognition problem of student engagement and disengagement in e-learning. To build the machine learning models, neat and clean dataset is the elementary requirement. With this objective we have created the dataset of the Student Engagement and Disengagement Image Dataset, comprising 16,000 images of students aged 5+ years. The dataset was divided into two primary categories: Engagement and Disengagement, reflecting the behavioral states of the students. These two main folders were then subdivided into four age groups: 5-10 years, 11-15 years, 16-20 years, and 21 and above years. To further categorize the dataset, each age group folder was divided into gender-specific subfolders, labeled as "Boy" and "Girl" Dataset Structure Categories: • Engagement: Images of students actively engaged in their e-learning activities, displaying focus and participation. • Disengagement: Images of students showing signs of distraction, boredom, or lack of attention during the learning process. Age Groups: The dataset is organized into four distinct age categories to cover different developmental stages: • 5-10 years • 11-15 years • 16-20 years • 21 and above years Gender Subfolders: Each age group is further subdivided by gender: • Boy • Girl All images were captured using high-resolution mobile phone cameras, ensuring clear and detailed visuals suitable for machine learning applications. The images were taken in diverse environments with different backgrounds and lighting conditions to make the dataset robust and adaptable to real-world e-learning scenarios. The proposed dataset can be used for training, testing, and validation of machine learning models designed to classify or recognize student engagement and disengagement in e-learning environments.