In this project, students will collaborate to compile a comprehensive dataset of various materials, including resin, dyed materials, natural minerals, and rocks. The goal is to create a well-structured dataset with detailed documentation of each material's properties and characteristics. This dataset will serve as a crucial resource for subsequent phases of the material identification system development.

Data Collection:

• Students will collect physical samples of different materials, including resin, dyed materials, natural minerals, and rocks. These samples will serve as the basis for the dataset.
• Each student or group of students will focus on specific material categories to ensure comprehensive coverage.

Data Documentation:

• Students will document the properties and characteristics of each material sample. This documentation may include information such as chemical composition, visual appearance, weight, dimensions, and any other relevant details.
• Digital photographs of the materials should be taken to facilitate visual analysis.

Dataset Organization:

• Students will organize the collected data into a structured dataset. This dataset will include labels indicating the category of each material (resin, dyed, natural mineral, or rock).
• Proper file naming and folder organization will be important for ease of use in subsequent phases of the project.

Project Deliverables:

Upon completion of the project, students will deliver the following:

1. Dataset: A well-organized dataset containing the collected materials, properly labeled with their respective categories (resin, dyed, natural mineral, or rock).
2. Documentation: Detailed documentation for each material sample, including properties, characteristics, and any relevant observations.

To ensure that learners successfully complete this project and achieve the desired learning outcomes, the following support mechanisms will be provided:

• Guidance and Training: Students will receive guidance on proper data collection techniques and documentation procedures. If needed, training sessions on photography, sample handling, and documentation best practices will be offered.

• Regular Check-Ins: Throughout the project duration, there will be regular check-in sessions with project mentors or instructors. These sessions will provide an opportunity for students to ask questions, seek clarification, and receive feedback on their progress.

• Access to Resources: Students will have access to resources such as reference materials on materials identification, data collection guidelines, and data organization templates. Any necessary equipment or materials for data collection will be provided or made available.

• Collaborative Environment: Collaboration is encouraged within the project team. Students will have the opportunity to work together, share insights, and learn from one another's experiences. This collaborative environment fosters teamwork and problem-solving skills.

• Feedback and Assessment Criteria: Clear assessment criteria will be provided at the outset of the project. Students will understand how their work will be evaluated based on the quality and completeness of the dataset and documentation, adherence to project timelines, and their ability to collaborate effectively.

• Ethical Considerations: Students will be educated about ethical considerations related to materials collection. They will be guided on obtaining any necessary permissions or permits for collecting materials, especially if required for certain natural minerals or rocks.

By offering these forms of support, learners will be well-equipped to complete the project successfully while gaining valuable knowledge and skills in data collection, materials identification, and structured data management.