Transforming Assessment,
Empowering Educators.
Walter is ideal for educational institutions, online learning platforms, and educators seeking to enhance their assessment processes through AI technology.
Walter revolutionizes the academic assessment landscape by harnessing the power of artificial intelligence to provide rapid, efficient, and insightful grading solutions. This innovative tool is designed to automate the grading process, transforming days of human effort into mere seconds of AI-driven analysis.
Benefits
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Time-Saving
Reduces the grading workload from days to seconds, freeing educators to focus on more critical tasks.
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Accuracy and Consistency
Offers a high level of grading consistency and accuracy, minimizing subjective biases.
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Data-Driven Insights
Provides valuable insights through detailed reports and analytics, aiding in educational decision-making.
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User-Friendly
Designed with a straightforward interface, making it accessible for users with varying levels of technical expertise.
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Scalability
Capable of handling large volumes of assessments without compromising on speed or quality.
Key Features
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AI-Driven Assessment
Employs advanced AI algorithms to grade, score, and provide comprehensive feedback on various academic artifacts.
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Customizable Rubrics and Instructions Integration
Integrates user-defined rubrics and specific assessor instructions to ensure alignment with desired criteria and standards.
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Efficient Artifact Processing
Processes multiple artifacts simultaneously, located in designated 'working' folders and sub-folders.
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Python and AI API Utilization
Built on robust Python programming and integrated with a sophisticated AI API.
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Privacy-Focused Design
Anonymizes AI prompts during the assessment process to maintain confidentiality and privacy.
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Comprehensive Reporting and Analysis
Generates detailed reports, including statistical analyses and data visualizations.
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Data Export and Accessibility
Results and reports are saved and accessible in various formats, including CSV, for easy integration with other analytical tools.
FAQ’s
Getting Started
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To create a new project, click the “Create New Project” button on the main dashboard. You will need to enter the project name and may need to provide additional details such as descriptions, select disciplines, and attach necessary files. Remember, the system only accepts files in .docx, .pdf, .r, .py, or .zip formats. Multiple files are supported.
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Walter accepts files with the extensions .docx, .pdf, .r, .py, and .zip. You may upload more than one file at a time.
Grading & Assessment
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Walter uses GenAI models to read the student work and apply rubric criteria defined by the user, generating a score and brief feedback.
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Walter can assess up to 100 documents in as little as 1 minute, depending on file type and model used.
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Feedback is generated automatically based on rubric performance. You can influence tone and specificity by adjusting the rubric and prompt.
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Walter's automated grading system evaluates submissions based on predefined criteria and algorithms. It assesses readability, content accuracy, and other relevant metrics to provide scores and constructive feedback.
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Yes, grading criteria can be customized to fit the specific needs of your projects or institution. Access the project settings to modify the grading rubrics or criteria.
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Walter requires precise, objective rubrics to function well. Refine vague language (e.g., 'some errors') into countable or binary terms.
Reports & Data
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Reports are available in the “View Project” section of a project after it has been ran. Types of reports include performance reports, grading summaries, or statistical analyses.
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Yes, Walter exports scoring data in .csv format, which is compatible with Excel and suitable for use in accreditation and Assurance of Learning (AoL) documentation.
Privacy & Compliance
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No. Walter operates under a zero data retention policy. No student submissions are stored or reused.
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Yes, Walter’s privacy design supports FERPA compliance, including anonymization and zero retention of personal data.
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Walter takes data privacy and security seriously. User data is protected through authentication and encryption methods. Anonymization features can be enabled for projects to ensure that personal data is not exposed during analysis.
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Walter can support equity audits by comparing performance across demographic groups when disaggregated data is available.
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Walter integrates with models like OpenAI's GPT and Anthropic's Claude depending on your selected configuration.
Administration & Support
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The Admin panel is used for managing institutional settings, user accounts, and licenses. It allows administrators to control various aspects of the system, ensuring that it runs smoothly and meets the needs of its users.
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User accounts can be managed through the Admin panel. Here, you can add new users, edit existing user information, change user roles, or delete user accounts. Access the Users section in the Admin panel to perform these actions.
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If you reach your license limit, you may need to manage your existing licenses by reallocating or purchasing additional licenses. Visit the School section in the Admin panel to view and manage your licenses, or click the “Subscription” link to update your license count.
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Yes, you can use the 'Edit Project' option from the Admin panel to change settings or re-run assessments, and ‘Delete Project’ to delete.
Expanding Horizons
While our immediate focus is on revolutionizing educational assessment, Walter's technology can easily be expanded into other markets, including research, healthcare, human resources, and other applications where accreditations or certifications are involved.
See Walter in action.
Experience seamless, accurate AI-powered assessment and free up your valuable time.