MAKING PERSONALIZED
EDUCATION SCALABLE

Sense is the easiest way for educators to give a personalized feedback
to the massive amount of student submissions in STEM courses


A GAME CHANGER FOR CHANGING TIMES

Personally tailored educational feedback is an essential component for learning. However, it becomes next to impossible to provide a personalized feedback to the massive amounts of students in the high-enrollment courses.

Sense is the missing link which enables instructors, schools, and e-Learning companies to provide student feedback that is both personalized and scalable.

HUMANS AND MACHINES, WORKING TOGETHER

Could Artificial Intelligence replace feedback by a real human educator? Can humans evaluate thousands of students' submissions and provide each one with a detailed and meaningful feedback?

Clearly, the answer to both questions is a NO.

At Sense we developed a hybrid approach to let the computers and educators do what they do best. Our Machine Learning technology discovers the response patterns that naturally occur amongst students’ answers, and organizes the submissions into the groups of similar solution types. Then, the instructor can provide a feedback to the group of the similar solutions instead of each and every individual work.

HOW IT WORKS

IDENTIFY PATTERNS

Sense engine receives all submitted assignments and discovers the common response patterns that are naturally shared among students’ answers.

VERIFY PATTERNS

Sense dashboard shows the instructor how hundreds of submissions can be broken into a few groups of common patterns.

GIVE FEEDBACK

The instructor evaluates patterns and provides a feedback per each type instead of each and every submission.

UNIVERSAL FEEDBACK SOLUTION

Personalized educational feedback by Sense is a comprehensive solution that enhances learning in any setting
SCHOOLS COLLEGES UNIVERSITIES
E-LEARNING MASSIVE OPEN ONLINE COURSES E-TEXTBOOKS
CORPORATE TRAINING LEARNING BOOT CAMPS TEST PREPS

THE TEAM THAT MAKES SENSE

We are a team of an experienced entrepreneurs, data scientisits and edtech business experts.
Sense is a proud graduate of 2016 Y-Combinator program.

Dr. Ronen Tal-Botzer brings in 15 years of teaching experience and is the Director of the Biomedical Informatics program at Bar-Ilan University. Previously, Ronen founded Correlor Technologies, a leading personalization company which now sells to major telcos.

Ronen Tal-Botzer, Ph.D.

CEO, Founder

Dr. Lior Strauss received his Ph.D. in Biomathematics from Bar-Ilan University. During his doctorate, Lior developed a new growth model for the Hepatitis C virus. He is an expert in machine learning, genomic data mining, and in Natural Language Processing.

Lior Strauss, Ph.D.

CTO, Chief Scientist

Nati has acquired his M.Sc. in Computational Neuroscience at the Weizmann Institute of Science. In his research, he developed computational and experimental techniques to investigate the neural code utilized by the brain to facilitate learning.

Nati Ghatan, M.Sc.

VP R&D

Michael brings in more than 20 years of experience in serving Fortune 100 customers, such as Microsoft, IBM, Boeing, Caterpillar and Raytheon. Michael holds B.Sc. in Computer Science and Math from Bar Ilan University, and MBA from Israeli College of Management.

Michael Ozeryansky

VP Product Development

Dr. Yahav Dikshtein holds the post-doctorate degree in Behavioral Neuroscience from Bar-Ilan University. He is a lecturer at the Brain Research Center at Bar-Ilan University and is the recipient of the 2013 National Network of Excellence in Neuroscience Award.

Yahav Dikshtein, Ph.D.

VP Marketing

Dr. Yaron Gonen is an expert in analyzing queries over distributed probabilistic databases and data mining, especially in the field of mining frequent item sets and sequential patterns in large databases. Yaron has vast experience in Java and DBMS programming.

Yaron Gonen, Ph.D.

Machine Learning

Gil has decades of experience in the training field from simulation needs analysis, specifications, technical requirements, project management and control, acceptance, life cycle activities, maintenance and upgrades.

Gil Kotton

Software engineering

Tom’s interests lay in the fields of behavioral and education economics and currently he is a Ph.D. candidate in the Department of Economics at Stanford University. Previously Tom served as a strategic business consultant at Deloitte.

Tom Zohar

Business development

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