Faculty

Institution

Unit

Venue

David E. Pritchard

Cecil and Ida Green Professor of Physics Post-Tenure

Massachusetts Institute of Technology

Affiliations

School of Science

Physics

David E. Pritchard is currently serving as a Physics Cecil and Ida Green Professor of Physics Post-Tenure at Massachusetts Institute of Technology.

Honors

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Experiences

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Education

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David E. Pritchard

Massachusetts Institute of Technology

Cecil and Ida Green Professor of Physics Post-Tenure

You can click a keyword to filter the displayed items

physics atomic physics applied physics particle physics condensed matter physics materials science physical chemistry photonics bose-einstein condensates spectroscopy laser science educational research chemistry higher education quantum chemistry quantum mechanics interferometry quantum science atomic spectroscopy bose-einstein condensate online learning educational data mining online education student learning educational assessment optical metrology optical trapping distance education velocity dependence atom interferometer beam optics optical engineering learning analytics physic education light scattering atomic beam atom optics cryogenics general relativity wave optics physical education science education optical physics neutral atoms rotational energy transfer atom interferometry inelastic collisions recommender systems information technology question answering optical pumping bose-einstein condensation educational informatics instrument science bragg spectroscopy doppler shift course structure web-based homework tutor atom chip human-computer interaction knowledge sharing higher education assessment conventional instrumentation instrumentation engineering higher education teaching student assessment analytical instrumentation double-well potential educational strategies knowledge management world wide web refrigeration phonons gauge theory transient grating

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Ultra Low Leakage Iot Design in 22fdsoi. (2024)

Navneet JainArif SiddiqiDeepti PantDavid PritchardRandy WolfSunil KumarJuhan KimAhmed ShiblyNigel Chan

internet of thingselectrical engineering

Comparing Conceptual Understanding Across Institutions With Module Analysis. Physical Review Physics Education Research (2022)

Christopher WheatleyJames WellsDavid E. PritchardJohn Stewart

educationconceptual understandingphysicseducational researchphysical educationmodule analysiscognitive science

From Computer Vision to Short Text Understanding: Applying Similar Approaches Into Different Disciplines. Intelligent and Converged Networks (2022)

Jiayin LinGeng SunJun ShenDavid E. PritchardPing YuTingru CuiDongming XuLi LiGhassan Beydoun

computer sciencedifferent disciplinescomputer visionmachine learning

Examining the Relation of Correct Knowledge and Misconceptions Using the Nominal Response Model. Physical Review Physics Education Research (2021)

John StewartByron DruryJames WellsAaron AdairRachel HendersonYunfei MaÁngel Pérez-LemoncheDavid Pritchard

physicseducational researchphysical educationnominal response modelphysic educationcorrect knowledgescience education

Mooc Student Dropout Rate Prediction via Separating and Conquering Micro and Macro Information. Communications in computer and information science (2021)

Jiayin LinGeng SunJun ShenDavid PritchardPing YuTingru CuiLi LiGhassan Beydoun

informaticscomputer sciencecomputing educationcommunicationinformation sciencedata sciencestudent learninginformation technologyeducational technology

Attention-Based High-Order Feature Interactions to Enhance the Recommender System for Web-Based Knowledge-Sharing Service. Lecture notes in computer science (2020)

Jiayin LinGeng SunJun ShenTingru CuiDavid PritchardDongming XuLi LiWei WeiGhassan BeydounShiping Chen

computer sciencerecommender systemsintelligent systemsattentionknowledge sharingcomputer engineeringfeature interaction problemweb-based knowledge-sharing servicemachine learning

Deep-Cross-Attention Recommendation Model for Knowledge Sharing Micro Learning Service. Lecture notes in computer science (2020)

Jiayin LinGeng SunJun ShenDavid PritchardTingru CuiDongming XuLi LiGhassan BeydounShiping Chen

computer sciencerecommender systemsdeep learningknowledge sharingdeep-cross-attention recommendation modelinformation technologymachine learning

Deep Sequence Labelling Model for Information Extraction in Micro Learning Service. 2022 International Joint Conference on Neural Networks (IJCNN) (2020)

Jiayin LinZhexuan ZhouGeng SunJun ShenDavid PritchardTingru CuiDongming XuLi LiGhassan Beydoun

computer scienceinformation extractionmicro learning servicebioinformaticsmachine learning

Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses. (2020)

Giora AlexandronJosé A. Ruipérez-ValienteDavid E Pritchard

anomaly detectiononline educationdata scienceonline learningeducational technology

Are Mooc Learning Analytics Results Trustworthy? With Fake Learners, They Might Not Be!. International Journal of Artificial Intelligence in Education (2019)

Giora AlexandronLisa Y YooJosé A. Ruipérez-ValienteSunbok LeeDavid E Pritchard

fake learnerslearning analyticshigher educationtrustdata sciencereliability

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5
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10 / page

David E. Pritchard

Cecil and Ida Green Professor of Physics Post-Tenure

Massachusetts Institute of Technology

Affiliations

School of Science

Physics

David E. Pritchard is currently serving as a Physics Cecil and Ida Green Professor of Physics Post-Tenure at Massachusetts Institute of Technology.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

David E. Pritchard

Massachusetts Institute of Technology

Cecil and Ida Green Professor of Physics Post-Tenure

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Ultra Low Leakage Iot Design in 22fdsoi. (2024)

Navneet JainArif SiddiqiDeepti PantDavid PritchardRandy WolfSunil KumarJuhan KimAhmed ShiblyNigel Chan

internet of thingselectrical engineering

Comparing Conceptual Understanding Across Institutions With Module Analysis. Physical Review Physics Education Research (2022)

Christopher WheatleyJames WellsDavid E. PritchardJohn Stewart

educationconceptual understandingphysicseducational researchphysical educationmodule analysiscognitive science

From Computer Vision to Short Text Understanding: Applying Similar Approaches Into Different Disciplines. Intelligent and Converged Networks (2022)

Jiayin LinGeng SunJun ShenDavid E. PritchardPing YuTingru CuiDongming XuLi LiGhassan Beydoun

computer sciencedifferent disciplinescomputer visionmachine learning

Examining the Relation of Correct Knowledge and Misconceptions Using the Nominal Response Model. Physical Review Physics Education Research (2021)

John StewartByron DruryJames WellsAaron AdairRachel HendersonYunfei MaÁngel Pérez-LemoncheDavid Pritchard

physicseducational researchphysical educationnominal response modelphysic educationcorrect knowledgescience education

Mooc Student Dropout Rate Prediction via Separating and Conquering Micro and Macro Information. Communications in computer and information science (2021)

Jiayin LinGeng SunJun ShenDavid PritchardPing YuTingru CuiLi LiGhassan Beydoun

informaticscomputer sciencecomputing educationcommunicationinformation sciencedata sciencestudent learninginformation technologyeducational technology

Attention-Based High-Order Feature Interactions to Enhance the Recommender System for Web-Based Knowledge-Sharing Service. Lecture notes in computer science (2020)

Jiayin LinGeng SunJun ShenTingru CuiDavid PritchardDongming XuLi LiWei WeiGhassan BeydounShiping Chen

computer sciencerecommender systemsintelligent systemsattentionknowledge sharingcomputer engineeringfeature interaction problemweb-based knowledge-sharing servicemachine learning

Deep-Cross-Attention Recommendation Model for Knowledge Sharing Micro Learning Service. Lecture notes in computer science (2020)

Jiayin LinGeng SunJun ShenDavid PritchardTingru CuiDongming XuLi LiGhassan BeydounShiping Chen

computer sciencerecommender systemsdeep learningknowledge sharingdeep-cross-attention recommendation modelinformation technologymachine learning

Deep Sequence Labelling Model for Information Extraction in Micro Learning Service. 2022 International Joint Conference on Neural Networks (IJCNN) (2020)

Jiayin LinZhexuan ZhouGeng SunJun ShenDavid PritchardTingru CuiDongming XuLi LiGhassan Beydoun

computer scienceinformation extractionmicro learning servicebioinformaticsmachine learning

Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses. (2020)

Giora AlexandronJosé A. Ruipérez-ValienteDavid E Pritchard

anomaly detectiononline educationdata scienceonline learningeducational technology

Are Mooc Learning Analytics Results Trustworthy? With Fake Learners, They Might Not Be!. International Journal of Artificial Intelligence in Education (2019)

Giora AlexandronLisa Y YooJosé A. Ruipérez-ValienteSunbok LeeDavid E Pritchard

fake learnerslearning analyticshigher educationtrustdata sciencereliability

1
2
3
4
5
35
10 / page

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