Unique new machine learning tool improves experiences in higher education

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Explorance Introduces BlueML for Higher Education, Providing Decision Makers with Quick Qualitative Insights and Recommended Actions to Improve the Student Experience

MONTREAL and CHICAGO, April 05, 2022 (GLOBE NEWSWIRE) — Explorationa global leader in People Insight solutions, today announces that BlueML, a first-of-its-kind machine learning platform, is now available for higher education institutions. BlueML quickly turns mass qualitative student feedback data into clear insights and actionable recommendations, improving teaching effectiveness and student success.

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The sheer amount of unstructured data collected through course evaluations and other student surveys can make it difficult for institutions to process responses and respond to feedback in a timely manner. In 2015, Explorance launched Blue Text Analytics (BTA), a text analysis tool that has since been used for student feedback categorization, pattern recognition, sentiment recognition and visualization – all aimed at identifying the root cause hidden in student feedback on teaching and learning. . “The rapid change precipitated by the COVID-19 pandemic has underscored the need for greater responsiveness and broader context in comment analytics systems,” said Samer Saab, CEO of Explorance. “The text analysis dictionaries on which most tools rely no longer keep pace with disturbances and therefore their analysis is not deep enough to uncover nuances such as emotional attribution to subjects , new themes or specific actions suggested in the comments,” adds Saab.

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“We needed an insightful new solution that could decipher what students are really talking about, what they are feeling, and what actions would help meet their needs and expectations,” says Alexis Tremblay, Machine Learning Lead at Explorance. . “Ultimately, our goal was to create a platform that provides better actionable insights while increasing its agility and accuracy in analyzing qualitative student feedback.” BlueML’s machine learning models take into consideration what the student is specifically referring to (subjects or people), the nature of the challenge/assent (attributes or qualifiers), what the student thinks about it, and what might help to improve things. This prescriptive approach to feedback analysis leads to incremental and continuous improvements in teaching effectiveness and ultimately improves student achievement.

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The BlueML platform gained this contextual insight by analyzing tens of thousands of feedback data from a wide range of higher education institutions across a student’s entire educational experience.

To learn more about how BlueML can support your key decisions around teaching effectiveness and student success, schedule a personalized demo.

About Explore

Founded in 2003, Explorance accompanies more than 20 million students and employees on their professional journey of meaning, growth and impact.

As the leading provider of People Insight Solutions, Explorance focuses on where people’s experiences converge with talent effectiveness. By connecting the moments that matter, we bring together a unified picture of needs, expectations, skills, knowledge and competencies. By providing proven measurement expertise and AI-powered recommendations, we help accelerate the cycle from analysis to action, driving organizational agility and individual success.

Headquartered in Montreal with business units in Chicago, Chennai, Melbourne, Amman and London, Explorance works with 25% of Fortune 100 companies and the world’s top higher education institutions. Explorance has been consistently recognized for its culture of high trust by the Great Place to Work® Institute and as a Deloitte Technology Fast 500™ organization. To learn more, please visit Explorance.com or join us on
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Sherry J. Basler