Faculty

Institution

Unit

Venue

Vasile Rus

Jack and Jane Morris Professor

University of Memphis

Affiliations

College of Arts & Sciences

Computer Science

Graduate School

Vasile Rus is currently serving as a College Of Arts & Sciences Jack and Jane Morris Professor at University of Memphis.

Honors

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Experiences

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Education

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Vasile Rus

University of Memphis

Jack and Jane Morris Professor

You can click a keyword to filter the displayed items

natural language processing machine learning computer science education linguistics artificial intelligence educational technology computational linguistics computing education educational assessment ai education communication educational data mining information retrieval knowledge discovery computational intelligence student learning automated reasoning student assessment intelligent systems higher education semantic similarity tutorial dialogues human-computer interaction intelligent tutoring systems educational informatics educational psychology online learning automated assessment natural language generation language assessment question answering teaching ai higher education assessment applied linguistics similarity measure nlp task source code comprehension machine learning research inquiry-based learning textual entailment language learning logic in computer science knowledge engineering dialogue management active learning spoken language processing computational semantics language corpus educational communication applied artificial intelligence natural language paraphrase identification question generation educational strategies scientific computing language resources automated knowledge acquisition knowledge retrieval procedural generation computational lexicology sequence alignment educational practices semantic processing word-to-word similarity metrics optimal assessment semantic similarity toolkit task evaluation challenge first question generation automatic question generation student mental models automatic detection latent semantic analysis speech act classification word semantics student answers software maintenance quality technology

Notable Scholarly Works

Notable Federal Grants

Collaborators

"Can a Language Model Represent Math Strategies?": Learning Math Strategies From Big Data Using Bert. (2025)

Abisha Thapa MagarAnup ShakyaStephen E. FancsaliVasile RusApril MurphySteve RitterDeepak Venugopal

learning math strategieslanguage modelsmathematics

Automated Assessment of Students' Code Comprehension Using Llms. arXiv (Cornell University) (2024)

Oli, PritiBanjade, RabinChapagain, JeevanRus, Vasile

automated assessmentlanguage assessmentstudent assessmentcomputing educationnatural language processingcomputer scienceeducational assessmentmachine learningeducationhigher educationlanguage comprehensionhigher education assessmenteducational technologycode comprehension

Automated Essay Scoring Using Discourse External Knowledge. (2024)

Nisrine Ait KhayiVasile Rus

educationautomated assessmentdiscourse external knowledge

Can Llms Identify Gaps and Misconceptions in Students' Code Explanations?. arXiv (Cornell University) (2024)

Oli, PritiBanjade, RabinOlney, Andrew M.Rus, Vasile

learning sciencescomputing educationnatural language processingcomputer sciencemachine learningeducationprogram comprehensioncode explanations

Exploring the Effectiveness of Reading vs. Tutoring for Enhancing Code Comprehension for Novices. Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (2024)

Priti OliRabin BanjadeArun Balajiee Lekshmi NarayananPeter BrusilovskyVasile Rus

language learningcomputing educationcode comprehensionlanguage comprehensionlearning theoryeducationlanguage teachingmathematics educationadaptive learningreading researcheducational researchstudent learning

Identifying Gaps in Students’ Explanations of Code Using Llms. Lecture notes in computer science (2024)

Rabin BanjadePriti OliMahmudul Islam SajibVasile Rus

automated reasoningknowledge representation and reasoningsource code analysiscomputing educationcomputer scienceeducationcomputational learning theoryabstraction (computer science)

Learning Representations for Math Strategies Using Bert. (2024)

Abisha Thapa MagarStephen E. FancsaliVasile RusApril MurphySteve RitterDeepak Venugopal

math strategiesteaching methodsmachine learningcomputational learning theorymathematics educationmathematicsclassroom instructiondeep learning

Mastery Guided Non-Parametric Clustering to Scale-Up Strategy Prediction. arXiv (Cornell University) (2024)

Shakya, AnupRus, VasileVenugopal, Deepak

unsupervised machine learningapplied mathematicsscale-up strategy predictionmachine learningclusteringnon-parametric clustering

AI Literacy Performance According to Different Computation Methods. Educational research and innovation (2023)

Jerry HobbsVasile RusJim SpohrerMichael Witbrock

educationai educationeducational researchai literacy performance

AI Literacy Performance by Expert. Educational research and innovation (2023)

Jerry HobbsVasile RusJim SpohrerMichael Witbrock

educationartificial intelligenceteaching aiai literacy performanceeducational research

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Vasile Rus

Jack and Jane Morris Professor

University of Memphis

Affiliations

College of Arts & Sciences

Computer Science

Graduate School

Vasile Rus is currently serving as a College Of Arts & Sciences Jack and Jane Morris Professor at University of Memphis.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Vasile Rus

University of Memphis

Jack and Jane Morris Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

"Can a Language Model Represent Math Strategies?": Learning Math Strategies From Big Data Using Bert. (2025)

Abisha Thapa MagarAnup ShakyaStephen E. FancsaliVasile RusApril MurphySteve RitterDeepak Venugopal

learning math strategieslanguage modelsmathematics

Automated Assessment of Students' Code Comprehension Using Llms. arXiv (Cornell University) (2024)

Oli, PritiBanjade, RabinChapagain, JeevanRus, Vasile

Automated Essay Scoring Using Discourse External Knowledge. (2024)

Nisrine Ait KhayiVasile Rus

educationautomated assessmentdiscourse external knowledge

Can Llms Identify Gaps and Misconceptions in Students' Code Explanations?. arXiv (Cornell University) (2024)

Oli, PritiBanjade, RabinOlney, Andrew M.Rus, Vasile

learning sciencescomputing educationnatural language processingcomputer sciencemachine learningeducationprogram comprehensioncode explanations

Exploring the Effectiveness of Reading vs. Tutoring for Enhancing Code Comprehension for Novices. Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (2024)

Priti OliRabin BanjadeArun Balajiee Lekshmi NarayananPeter BrusilovskyVasile Rus

Identifying Gaps in Students’ Explanations of Code Using Llms. Lecture notes in computer science (2024)

Rabin BanjadePriti OliMahmudul Islam SajibVasile Rus

automated reasoningknowledge representation and reasoningsource code analysiscomputing educationcomputer scienceeducationcomputational learning theoryabstraction (computer science)

Learning Representations for Math Strategies Using Bert. (2024)

Abisha Thapa MagarStephen E. FancsaliVasile RusApril MurphySteve RitterDeepak Venugopal

math strategiesteaching methodsmachine learningcomputational learning theorymathematics educationmathematicsclassroom instructiondeep learning

Mastery Guided Non-Parametric Clustering to Scale-Up Strategy Prediction. arXiv (Cornell University) (2024)

Shakya, AnupRus, VasileVenugopal, Deepak

unsupervised machine learningapplied mathematicsscale-up strategy predictionmachine learningclusteringnon-parametric clustering

AI Literacy Performance According to Different Computation Methods. Educational research and innovation (2023)

Jerry HobbsVasile RusJim SpohrerMichael Witbrock

educationai educationeducational researchai literacy performance

AI Literacy Performance by Expert. Educational research and innovation (2023)

Jerry HobbsVasile RusJim SpohrerMichael Witbrock

educationartificial intelligenceteaching aiai literacy performanceeducational research

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21
10 / page

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memory studies

cognitive science

Andrew Olney

Institution

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educational technology

teaching ai

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Carnegie Mellon University

speech recognition

language

Douglas H Fisher

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Vanderbilt University

computational intelligence

learning classifier system

Barbara Di Eugenio

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ai education

educational technologies

Rebecca Passonneau

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educational technology

learning analytics

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educational technology

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data science

applied artificial intelligence