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Reading: Enflux Unveils CompetencyGenie™: AI-Powered Tool for Exam Items Classification to Cognitive Levels & Competencies
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EdTechReview > News > Enflux Unveils CompetencyGenie™: AI-Powered Tool for Exam Items Classification to Cognitive Levels & Competencies
News

Enflux Unveils CompetencyGenie™: AI-Powered Tool for Exam Items Classification to Cognitive Levels & Competencies

Shalini Pathak
Shalini Pathak Published June 12, 2023
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Enflux Unveils CompetencyGenie™: AI-Powered Tool for Exam Items Classification to Cognitive Levels & Competencies
Enflux Unveils CompetencyGenie™: AI-Powered Tool for Exam Items Classification to Cognitive Levels & Competencies
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Enflux, the leading provider of comprehensive data analytics and decision support systems for higher education, has announced the launch of its product, CompetencyGenie™. This innovative AI-powered tool is set to revolutionize the classification of exam items to cognitive levels and competencies, empowering educators and assessment leaders to enhance their assessment mapping and curriculum evaluation. 

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CompetencyGenie™ eliminates the manual and time-consuming process of classifying exam items, providing educators with a streamlined and automated solution. With CompetencyGenie™, users can easily classify individual exam items or batches to the original or revised Bloom’s Taxonomy. This powerful tool ensures that assessments are aligned with competencies, enabling educators to measure curriculum effectiveness and identify areas for improvement.

Key features of CompetencyGenie™ include:

AI-powered classification: Leveraging advanced artificial intelligence algorithms, CompetencyGenie™ eliminates the need for manual classification. It quickly classifies exam items to the appropriate cognitive levels and competencies.

Customization options: Users can customize categories. They can consolidate or rename categories to align with their program’s specific preferences and requirements.

Batch classification: CompetencyGenie™ empowers educators to categorize assessments across the curriculum or academic programs in batches. This allows for a comprehensive evaluation of the breadth and depth of learning and the curriculum, providing valuable insights into student attainment of competencies, identifying curricular gaps, and ensuring compliance with accreditation requirements.

Speaking about the initiative, Chief Executive Officer of Enflux, Alejandra Zertuche, said:

We are grateful for the invaluable feedback from our early adopters, which has been crucial in training our AI models and improving accuracy. While we’ve made significant progress, there’s still much to explore. We are actively developing discipline-specific competency classifications for future release, aiming to empower administrators and faculty to gain timely insights into curriculum and student competency without the need for manual assessment classification. 

Headquartered in San Antonio, TX, Enflux aims to offer an accessible view of a school’s overall program performance—down to the individual student level. The company’s mission is to deliver actionable insights that support curriculum delivery, strategic planning, accountable action, and continuous quality improvement. With the Enflux platform, one can effortlessly consolidate and comprehend data from various sources such as assessment tools, learning management systems, surveys, and exam results to easily extract actionable insights and track educational outcomes. 

TAGGED: Artificial Intelligence, EdTech Startups/Companies, Higher Education, Learning Management System, Online Courses, Online Education
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By Shalini Pathak
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Shalini Pathak is a Staff Writer at EdTechReview (ETR) - India's leading edtech media & community. She has over four years of experience in media, covering different beats. Like all writers she's an enthusiastic reader first with a passion to create out of the box content, and an ability to write about any topic. As a part of the ETR team, she will cover the latest in the edtech industry with a focus on edtech startup stories and their funding.
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