DIAGNOSTIC ONLINE RESULT ASSESSMENT (DORA) IN A CLOUD ENVIRONMENT

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Inventor(s)

DIAGNOSTIC ONLINE RESULT ASSESSMENT (DORA) IN A CLOUD ENVIRONMENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 18047909 titled 'DIAGNOSTIC ONLINE RESULT ASSESSMENT (DORA) IN A CLOUD ENVIRONMENT

Simplified Explanation: The patent application describes a system and method for automated, secure, and credential-less evaluation of data processing task results in a cloud environment using a learning management system.

Key Features and Innovation:

Detection of verification request code from a data consumer account
Revision of verification request code with metadata for evaluation
Execution of external function call to evaluate task result
Communication of evaluation result to data consumer account

Potential Applications: This technology can be applied in educational settings for automated grading of student assignments, in data processing labs for evaluating task results, and in various cloud-based environments for secure and efficient evaluation processes.

Problems Solved: This technology addresses the need for automated, secure, and credential-less evaluation of data processing task results in a cloud environment, streamlining the evaluation process and ensuring data security.

Benefits:

Automation of evaluation processes
Enhanced security without the need for credentials
Efficient and accurate evaluation of task results
Seamless integration with learning management systems

Commercial Applications: Automated Evaluation System for Cloud-Based Learning Management Environments: This technology can be utilized by educational institutions, online learning platforms, and data processing labs to automate the evaluation of task results securely and efficiently.

Prior Art: While there is no specific prior art provided in the abstract, researchers can explore existing technologies related to automated evaluation systems, secure data processing, and learning management systems for potential prior art references.

Frequently Updated Research: Researchers in the fields of cloud computing, educational technology, and data processing may find relevant and frequently updated research on automated evaluation systems, secure data processing, and learning management systems.

Questions about Automated Evaluation Systems: 1. How does this technology improve the efficiency of evaluating data processing task results? 2. What are the key security features implemented in this system to ensure secure evaluation processes?

Original Abstract Submitted

Provided herein are systems and methods for automated, secure, and credential-less evaluation (e.g., grading) of data processing task results (e.g., student/learner data processing lab result or assignment completion result) in a cloud environment using a learning management system (LMS). For example, a method includes detecting verification request code received from an account of a data consumer. The verification request code includes a call to an external function and a query statement associated with a task result obtained after completion of a data processing task. The verification request code is revised with metadata to obtain revised verification request code. The call to the external function is executed to cause an evaluation of the task result. A notification of a result of the evaluation is communicated to the account of the data consumer.